data engineer (manager)

data engineering manager

data scientist (associate) Jobs in Chicago

data scientist (associate)

data strategist intern

data engineer

Huron Consulting Group

<div><div>Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.<br>
<br>
Join our team as the expert you are now and create your future.</div><div></div>
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation, and navigate constant change. We're seeking a Data Engineering Manager to join the Data Science &amp; Machine Learning team in our Commercial Digital practice, where you'll lead the design, development, and delivery of data infrastructure that powers intelligent systems across Financial Services, Manufacturing, Energy &amp; Utilities, and other commercial industries.<br>
<br>
Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team&mdash;sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.<br>
<br>
This isn't a maintenance role or a ticket queue&mdash;you'll own the full data lifecycle from source integration through analytics-ready delivery, while leading and developing a team of data engineers. You'll build systems that matter: real-time data architectures that feed mission-critical ML models, transformation layers that turn messy enterprise data into trusted datasets, and orchestration systems that ensure reliability at scale. Our clients are Fortune 500 companies looking for partners who can engineer and lead, not just advise.<br>
<br>
The variety is real. In your first year, you might lead a lakehouse implementation for a global manufacturer's IoT data, oversee a real-time streaming architecture for a financial services firm's trading analytics, and architect a data mesh strategy for a utility company's distribution systems&mdash;all while developing the next generation of data engineering talent at Huron. If you thrive on solving complex data challenges, shipping production systems, and building high-performing teams, this role is for you.<div></div><div>
What You'll Do</div><ul><li>
Lead and mentor junior data engineers&mdash;provide technical guidance, conduct code reviews, and support professional development. Foster a culture of continuous learning and high-quality engineering practices within the team.</li><li>
Manage complex multi-workstream data engineering projects&mdash;oversee project planning, resource allocation, and delivery timelines. Ensure projects meet quality standards and client expectations while maintaining technical excellence.</li><li>
Design and architect end-to-end data solutions&mdash;from source extraction and ingestion through transformation, quality validation, and delivery. Make key technical decisions and own the overall data architecture.</li><li>
Lead development of modern data transformation layers using dbt&mdash;implementing modular SQL models, testing frameworks, documentation, and CI/CD practices that ensure data quality and maintainability at scale.</li><li>
Architect lakehouse solutions using open table formats (Delta Lake, Apache Iceberg) on Microsoft Fabric, Snowflake, and Databricks&mdash;designing schemas, optimizing performance, and implementing governance frameworks.</li><li>
Establish DataOps best practices&mdash;define and implement CI/CD pipelines for data assets, data quality monitoring, observability, lineage tracking, and automated testing standards to ensure data infrastructure remains reliable in production.</li><li>
Serve as a trusted advisor to clients&mdash;build long-standing partnerships, understand business problems, translate data requirements into technical solutions, and communicate architecture decisions to both technical and executive audiences.</li><li>
Contribute to business development&mdash;participate in business development activities, develop reusable assets and methodologies, and help shape the technical direction of Huron's data engineering capabilities.</li></ul><div></div><div>
Required Qualifications</div><ul><li>
5+ years of hands-on experience building and deploying data pipelines in production&mdash;not just ad-hoc queries and exports. You've built ETL/ELT systems that run reliably, scale, and are maintained over time.</li><li>
Experience leading and developing technical teams&mdash;including coaching, mentorship, code review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent.</li><li>
Strong SQL and Python programming skills with deep experience in PySpark for distributed data processing. SQL for analytics and data modeling; Python/PySpark for pipeline development and large-scale transformations.</li><li>
Experience building data pipelines that serve AI/ML systems, including feature engineering workflows, vector embeddings for retrieval-augmented generation (RAG), and data quality frameworks that ensure model reproducibility. Familiarity with emerging agent integration standards such as MCP (Model Context Protocol) and A2A (Agent-to-Agent), and the ability to design data services and APIs that can be discovered and consumed by autonomous AI agents.</li><li>
Experience with modern data transformation tools, dbt particularly. You understand modular SQL development, testing, documentation practices, and how to implement these at scale across teams.</li><li>
Experience with cloud data platforms and lakehouse architectures&mdash;Snowflake, Databricks, Microsoft Fabric, and familiarity with open table formats (Delta Lake, Apache Iceberg). We're platform-flexible but Microsoft-preferred.</li><li>
Proficiency with workflow orchestration tools such as Apache Airflow, Dagster, Prefect, or Microsoft Data Factory. You understand DAGs, scheduling, dependency management, and how to design reliable orchestration at scale.</li><li>
Solid foundation in data modeling concepts: dimensional modeling, data vault, normalization/denormalization, and understanding of when different approaches are appropriate for different use cases.</li><li>
Excellent communication and client management skills&mdash;ability to communicate technical concepts to non-technical stakeholders, lead client meetings, and build trusted relationships with executive audiences.</li><li>
Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field (or equivalent practical experience).</li><li>
Willingness to travel approximately 30% to client sites as needed.</li></ul><div></div><div>
Preferred Qualifications</div><ul><li>
Experience in Financial Services, Manufacturing, or Energy &amp; Utilities industries.</li><li>
Background in building data infrastructure for ML/AI systems&mdash;feature stores (Feast, Databricks Feature Store), training data pipelines, vector databases for RAG/LLM workloads, or model serving architectures.</li><li>
Experience with real-time and streaming data architectures using Kafka, Spark Streaming, Flink, or Azure Event Hubs, including CDC patterns for data synchronization.</li><li>
Familiarity with MCP (Model Context Protocol), A2A (Agent-to-Agent), or similar standards for AI system data integration.</li><li>
Experience with data quality and observability frameworks such as Great Expectations, Soda, Monte Carlo, or dbt tests at enterprise scale.</li><li>
Knowledge of data governance, cataloging, and lineage tools (Unity Catalog, Purview, Alation, or similar).</li><li>
Experience with high-performance Python data tools such as Polars or DuckDB for efficient data processing.</li><li>
Cloud certifications (Snowflake SnowPro, Databricks Data Engineer, Azure Data Engineer, or AWS Data Analytics).</li><li>
Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces.</li><li>
Contributions to open-source data engineering projects or active participation in the dbt/data community.</li><li>
Master's degree or PhD in a technical field.</li></ul><div></div><div>
Why Huron</div><div>
Variety that accelerates your growth. In consulting, you'll work across industries and data architectures that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy &amp; Utilities, and more&mdash;each engagement is a new data ecosystem to master and a new platform to ship.</div><div>
Impact you can measure. Our clients are Fortune 500 companies making significant investments in data infrastructure. The pipelines you build will power real decisions&mdash;the ML models that drive production schedules, the dashboards that inform pricing strategies, the data products that enable self-service analytics. You'll see your work become the foundation others build on.</div><div>
A team that builds. Huron's Data Science &amp; Machine Learning team is a close-knit group of practitioners, not just advisors. We write code, build pipelines, and deploy platforms. You'll work alongside engineers and data scientists who understand the craft and push each other to improve.</div><div>
Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior leadership roles.</div><div></div><div>
Position Level</div>
Manager<div></div><div>
Country</div>
United States of America</div>

Data Engineer (Manager)

iManage

<div><p><i>We offer a flexible working policy that supports a healthy balance between personal and professional well-being. This role requires in-office presence on Tuesdays &amp; Thursdays to collaborate, connect, and learn from peers - while also maintaining the flexibility for meaningful work-life balance.</i></p><p><b>
Being a Senior NLP Data Engineer at iManage Means&hellip;</b><br>
You&rsquo;re passionate about transforming unstructured text into meaningful insights that power AI and machine learning solutions. You thrive at the intersection of data engineering, AI and natural language processing, building the pipelines and datasets that fuel generative AI applications, agentic systems, advanced model fine tuning and other NLP-driven capabilities across iManage.</p><p>
As an NLP Data Engineer on the Applied AI team, you will design, build, and optimize large-scale text data pipelines that power AI/ML and Generative AI solutions for our customers. You&rsquo;ll work with knowledge engineering, applied AI, and product teams to prepare, enrich, and integrate document data. Your work will be essential to enabling intelligent, AI-powered features across the iManage platform.</p><p><b>
iM Responsible For&hellip;</b></p><ul><li>
Designing, developing and maintaining scalable pipelines in MSFT Azure to ingest and transform large volumes of text data from multiple sources</li><li>
Designing automated workflows for text normalization, deduplication, language identification, PII redaction and metadata enrichment</li><li>
Building automated data validation processes to ensure accuracy and consistency</li><li>
Supporting model fine-tuning, semantic search and Gen AI evaluations tuning through dataset curation, prompt dataset preparation, labeling coordination, and text quality validation</li><li>
Partnering with the Applied AI team to gather data requirements and build data interfaces for developing and maintaining machine learning systems</li><li>
Maintaining data lineage and following data privacy, security and governance best practices</li><li>
Implementing data versioning and lineage tracking for machine learning experiments</li></ul><p><b>
iM Qualified Because I Have&hellip;</b></p><ul><li>
A Bachelor&rsquo;s degree or higher in Computer Science, Data Engineering, Applied Mathematics, Computational Linguistics, or a quantitative related field.</li><li>
4+ years of data engineering experience, with at least 2 years working with unstructured data in a business setting.</li><li>
Strong proficiency in Python, PySpark, and data manipulation for large unstructured text datasets.</li><li>
Strong understanding of NLP concepts such as tokenization, embeddings, semantic search, and experience with standard text libraries such as SpaCy, HuggingFace Datasets, NLTK.</li><li>
Solid dataOps knowledge and experience orchestrating advanced NLP data pipelines using cloud based data infrastructure</li><li>
Proficiency with Git and collaborative development frameworks</li><li>
A passion for enabling AI capabilities through scalable, reliable data architecture.</li><li>
Problem solving, creativity, curiosity, and a collaborative mindset.</li></ul><p><b>
Bonus Points If I Have...</b></p><ul><li>
Exposure to Microsoft Azure Services such as Fabric, ADLS, AI Foundry, Azure ML, MLflow</li><li>
Experience with knowledge graph implementation for NLP applications</li><li>
Experience working with data for the legal domain</li><li>
Experience designing architectures for large-scale text corpora</li></ul><p><i>
Don't meet every qualification listed above? Studies show that women and people of color are less likely to apply to jobs unless they meet all qualifications. At iManage, we are committed to building a diverse and inclusive environment, and encourage everyone to show up as their full authentic selves. We welcome those that come with a growth mindset and a hunger for learning; so, if you are excited about this role but your past experience doesn't align perfectly with every qualification we encourage you to apply anyways!</i></p><p><b>
iM Getting To&hellip;</b></p><ul><li>
Join a supportive, experienced team with an inclusive, encouraging, and vibrant culture.</li><li>
Have flexible work hours that allow me to balance my &lsquo;me time&rsquo; with my work commitments.</li><li>
Collaborate in a modern open plan workspace, with a gaming area, free snacks, drinks and regular social events.</li><li>
Focus on impactful work, solving complex, real challenges utilizing the latest technologies and protocols.</li><li>
Own my career path with our internal development framework. Ask us more about this!</li><li>
Learn new skills and earn certifications with access to unlimited courses in LinkedIn Learning.</li><li>
Join an innovative, industry leading SaaS company that is continuing to grow &amp; scale!</li></ul><p><b>
iManage Is Supporting Me By...</b></p><ul><li>
Creating an inclusive environment where I can help shape the culture not just by fitting in, but by adding to it.</li><li>
Providing a market competitive salary that is applied through a consistent process, equitable for all our employees, and regularly reviewed based on industry data.</li><li>
Rewarding me with an annual performance-based bonus.</li><li>
Offering comprehensive Health/Vision/Dental/Life Insurance, and a 401k Retirement Savings Plan with a company match up to 4%.</li><li>
Giving access to HealthJoy, a healthcare concierge service, to help me maximize my health benefits.</li><li>
Granting enhanced leave for expecting parents; 20 weeks 100% paid for primary leave, and 10 weeks 100% paid for secondary leave.</li><li>
Providing me with a flexible time off policy to take the time off that I need. Be it for vacation, volunteering, celebrating holidays, spending time with family, or simply taking time to recharge and reset.</li><li>
Caring for my mental health and well-being with multiple company wellness days and free access to the Healthy Minds app for mindfulness, meditation and more.</li></ul><i>
The overall US annual base salary range for this position is $120,000&ndash;$170,000. Individual compensation for each candidate depends on factors such as qualifications, experience, and candidate location. This range does not include additional forms of compensation, such as bonuses, or benefits. Your recruiter will provide further details about the offer range, incentives, and overall compensation during the hiring process.</i><p><b>
About iManage&hellip;</b></p><p>
iManage is dedicated to Making Knowledge WorkTM. Over one million professionals across 65+ countries rely on our intelligent, cloud-enabled, secure knowledge work platform to uncover and activate the knowledge that exists inside their business content and communications.</p><p>
We are continuously innovating to solve the most complex professional challenges and enable better business outcomes; Our work is not always easy but it is ambitious and rewarding.</p><p>
So we&rsquo;re looking for people who love a challenge. People who are happiest when they&rsquo;re solving problems and collaborating with the industry&rsquo;s best and brightest. That&rsquo;s the iManage way. It&rsquo;s how we do things that might appear impossible. How we develop our employees&rsquo; strengths and unlock their potential. How we find meaning in everything we do.</p><p><b><i>
Whoever you are, whatever you do, however you work. Make it mean something at iManage.</i></b></p><p>
iManage provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</p><p>
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.</p><p>
Learn more at: www.imanage.com</p><p>
Please see our privacy statement for more information on how we handle your personal data:</p><p>
https://imanage.com/privacy-policy/</p><p>
#LI-Hybrid</p><p>
#LI-RW1</p><p>
</p><p>Gsyz0IZVAd</p></div>

Senior NLP Data Engineer

The University of Chicago

<div><div>Department</div>
BSD MED - Center for Health Statistics<div><br>
About the Department</div>
The Center for Health Statistics (CHS) was established in 2001 by Robert D. Gibbons, Blum-Riese Professor of Statistics at the University of Chicago, to provide a statistical research environment that would lead to advances in the design and analysis of investigations in a wide variety of areas in the health sciences. The Center has quickly grown to include a faculty of 32 distinguished members covering statistical expertise in almost all areas of science. Focus has extended to the social, behavioral and physical sciences in addition to problems in our nation&rsquo;s health. Key statistical themes in our work include: (a) generalized mixed-effects regression models for the analysis of clustered and longitudinal data; (b) item response theory and adaptive testing for large-scale educational testing and mental health screening and monitoring; (c) environmental statistics, both regulatory and health related; and (d) drug safety. Overall, we are committed to working on statistical features of any interesting scientific problem, and our excellent faculty provide the depth of resources to accomplish this goal.<div><br>
Job Summary</div>
The Center for Health Statistics (CHS) within the Biological Sciences Division at the University of Chicago is seeking a Research Software Engineer with strong data engineering and DevOps capabilities to support research computing needs. This role centers on designing systems that link analytical methods with production environments, enabling scalable, reliable, and reproducible workflows for CHS research groups. This position provides technical leadership across data architecture, automation, and deployment, contributing to the development lifecycle for projects that rely on advanced analytics and machine learning, including the development, deployment, and maintenance of complex statistical research products such as computerized adaptive tests (CATs), psychometric scoring engines, and assessment workflows.<div></div><div>
Responsibilities</div><ul><li>
Partners with investigators and analysts to design and build data pipelines that support large-scale statistical and machine-learning workflows with psychometric applications.</li><li>
Develops, automates, and maintains infrastructure for data ingestion, transformation, validation, and monitoring across multiple research studies with an emphasis on item-level data processing, calibration pipelines, and scoring services.</li><li>
Implements deployment strategies (CI/CD, containerization, orchestration) that ensure reproducibility, version control, and efficient delivery of computational tools used in adaptive testing and statistical measurement systems.</li><li>
Collaborates with research teams to integrate modeling outputs into operational systems, dashboards, or downstream applications.</li><li>
Maintains secure, compliant, and well-documented environments aligned with University guidelines and relevant data-use regulations related to human-subjects research data.</li><li>
Supports cloud computing resources, including performance optimization, resource provisioning, and cost monitoring.</li><li>
Establishes testing frameworks and code-quality practices for shared research software with rigorous validation of psychometric algorithms and adaptive-testing logic.</li><li>
Contributes to technical documentation, training materials, and knowledge transfer to CHS staff and collaborators.</li><li>
Assists with technical sections of grant proposals, progress reports, and presentations by compiling system architecture descriptions, performance metrics, or reproducibility details.</li><li>
Works with stakeholders to gather and analyze requirements for developmental programs. Receives a moderate level of guidance to design applications to meet University and business requirements.</li><li>
Supports and maintains existing applications. Works with web developers and responds to requests from users.</li><li>
Performs other related work as needed.</li></ul><div><br>
Minimum Qualifications</div><div>
Education:</div>
Minimum requirements include a college or university degree in related field.<div><br>
Work Experience:</div>
Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.<div><br>
Certifications:</div><div>
-</div><div></div><div>
Preferred Qualifications</div><div></div><div>
Education:</div><ul><li>
Advanced degree in computer science, data science, engineering, or a related technical field.</li></ul><div></div><div>
Experience:</div><ul><li>
Background developing data systems or research infrastructure in scientific, academic, or healthcare environments.</li></ul><div></div><div>
Technical Skills or Knowledge:</div><ul><li>
Proficiency in building and maintaining data engineering solutions, such as distributed processing, workflow orchestration, streaming or batch pipelines.</li><li>
Proficient with DevOps practices, including CI/CD, containerization, infrastructure automation, and deployment frameworks.</li><li>
Familiarity with machine-learning integration, including packaging models for production, reproducible workflows, and environment management.</li><li>
Strong programming skills in languages commonly used in research computing, including Python, SQL, and Bash.</li><li>
Design secure and compliant data systems in regulated research settings involving sensitive human subjects research data.</li></ul><div></div><div>
Preferred Competencies</div><ul><li>
Attention to detail, capable of producing reliable, traceable, and well-documented software artifacts.</li><li>
Organizational skills, adept at managing concurrent projects, meeting deadlines, and adapting to evolving scientific requirements.</li><li>
Collaboration skills to communicate effectively with investigators, data scientists, analysts, and administrative staff.</li><li>
Technological proficiency, comfortable with cloud platforms, version control systems, workflow managers, and research computing tools.</li><li>
Working knowledge of multidimensional item response theory and computerized adaptive testing algorithms.</li></ul><div></div><div>
Working Conditions</div><ul><li>
This is a part-time position of approximately 20 hours per week.</li></ul><div><br>
Application Documents</div><ul><li>
Resume/CV (required)</li><li>
Cover Letter (required)</li></ul><div><div><div><div><div><div><div><div><br>
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.</div></div></div></div></div></div></div></div><div><br>
Job Family</div>
Information Technology<div><br>
Role Impact</div>
Individual Contributor<div><br>
Scheduled Weekly Hours</div>
20<div><br>
Drug Test Required</div>
No<div><br>
Health Screen Required</div>
No<div><br>
Motor Vehicle Record Inquiry Required</div>
No<div><br>
Pay Rate Type</div>
Salary<div><br>
<br>
FLSA Status</div>
Exempt<div><br>
<br>
Pay Range</div>
$47,500.00 - $60,000.00<div>
The included pay rate or range represents the University&rsquo;s good faith estimate of the possible compensation offer for this role at the time of posting.</div><div><br>
Benefits Eligible</div>
Yes<div>
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the<div> </div><div>Benefits Guidebook</div><div>.</div></div><div><br>
Posting Statement</div><div>
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the <div>University's Notice of Nondiscrimination.</div></div><div></div><div><br>
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via <div>Applicant Inquiry Form.</div></div><div></div><div><br>
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.</div><div></div><div><br>
The University of Chicago's Annual Security &amp; Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: <div>http://securityreport.uchicago.edu</div>. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.</div></div>

Research Software Engineer

<div><div>Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.<br>
<br>
Join our team as the expert you are now and create your future.</div><div></div>
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation, and navigate constant change. We're seeking a Data Scientist to join the Data Science &amp; Machine Learning team in our Commercial Digital practice, where you'll conduct advanced analytics and build predictive models that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy &amp; Utilities, and other commercial industries.<br>
<br>
This isn't a reporting role or a dashboard factory&mdash;you'll own the full analytics lifecycle from hypothesis formulation through insight delivery. You'll work on problems that matter: experimental designs that validate business strategies, predictive models that surface hidden patterns in complex data, and analytical workflows that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.<br>
<br>
The variety is real. In your first year, you might conduct customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an anomaly detection model for a utility company's operational data. If you thrive on rigorous analysis, clear communication of complex findings, and rapid iteration, this role is for you.<div></div><div>
What You'll Do</div><ul><li>
Design and execute end-to-end data science workflows&mdash;from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible.</li><li>
Develop both traditional statistical and modern AI-powered analyses&mdash;including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis.</li><li>
Build predictive and prescriptive models that drive business decisions&mdash;customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises.</li><li>
Rapidly build interactive data stories and applications&mdash;deliver insights through compelling visualizations and user-friendly interfaces that stakeholders can explore.</li><li>
Translate complex analytical findings into actionable insights&mdash;create compelling data narratives, develop presentation-ready deliverables, and communicate technical results to non-technical stakeholders in ways that drive decisions.</li><li>
Collaborate directly with clients and senior team members&mdash;understand business problems, formulate the right analytical questions, and contribute to insights that create measurable value.</li></ul><div></div><div>
Required Qualifications</div><ul><li>
2+ years of hands-on experience conducting data science and advanced analytics&mdash;not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact.</li><li>
Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing clean, reproducible code, not just notebooks.</li><li>
Solid foundation in statistics and machine learning: hypothesis testing, regression analysis, classification, clustering, experimental design, and understanding of when different approaches are appropriate for different questions.</li><li>
Experience with deep learning and modern neural architectures&mdash;understanding of transformer models, embeddings, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods.</li><li>
Proficiency with data platforms: Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can write efficient queries.</li><li>
Strong visualization and rapid data application development skills&mdash;proficiency with programmatic visualization libraries (Plotly, Altair) and AI-assisted rapid application development using Cursor, Lovable, v0, or similar tools. You can quickly build interactive data interfaces that bring analyses to life.</li><li>
Ability to communicate technical concepts to non-technical stakeholders and work effectively with cross-functional teams. Strong data storytelling skills are essential.</li><li>
Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience).</li><li>
Willingness to travel approximately 30% to client sites as needed.</li></ul><div></div><div>
Preferred Qualifications</div><ul><li>
Experience in Financial Services, Manufacturing, or Energy &amp; Utilities industries.</li><li>
Background in experimental design, A/B testing, and causal inference methodologies&mdash;including propensity score matching, difference-in-differences, or instrumental variables.</li><li>
Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures&mdash;including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications.</li><li>
Experience building AI-assisted analytical workflows&mdash;leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data.</li><li>
Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro), or uncertainty quantification in business contexts.</li><li>
Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications.</li><li>
Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty).</li><li>
Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces.</li><li>
Master's degree or PhD in Statistics, Applied Mathematics, Economics, or related quantitative field.</li></ul><div></div><div>
Why Huron</div><div>
Variety that accelerates your growth. In consulting, you'll work across industries and analytical challenges that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy &amp; Utilities, and more&mdash;each engagement is a new domain to master and a new problem to crack.</div><div>
Impact you can measure. Our clients are Fortune 500 companies making significant investments in analytics and AI. The insights you generate will inform real decisions&mdash;pricing strategies, customer segmentation, operational improvements, strategic investments. You'll see your analysis drive outcomes.</div><div>
A team that thinks deeply. Huron's Data Science &amp; Machine Learning team is a close-knit group of practitioners, not just advisors. We develop hypotheses, analyze data, and deliver insights that hold up to scrutiny. You'll work alongside data scientists and engineers who care about getting the answer right and telling the story clearly.</div><div>
Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior roles.</div><div></div><div>
Position Level</div>
Associate<div></div><div>
Country</div>
United States of America</div>

Data Scientist (Associate)

CIBC

<div><div>We&rsquo;re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what&rsquo;s right for our clients.</div><div></div><div>
At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.</div><div></div><div>
To learn more about CIBC, please visit <div>CIBC.com</div></div><div></div><div>
What you&rsquo;ll be doing</div><div></div><div><div><div><div><div>
As a member of the U.S. Data Strategy team, you&rsquo;ll work in a fast-paced environment where you will own delivery for Data ETL, analytics and consumption capabilities in alignment with a multi-year Product Roadmap. With guidance from Enterprise level standards and resources, you will work across functions &ndash; Product, Architecture, Data, Stakeholders - to understand business/design/Product objectives, then build solutions, whether internal or external. You will stay ahead of changing technologies and demonstrate experience with clean interfaces and data strategy. This position is dynamic and challenging. We are looking for someone to be a leader, collaborator, and executor. This role requires key hard and soft skills. You lead and inspire development team of 8-10 technology professionals including developers, testers, and analysts to solve complex data modeling, transformation, and consumption solutions. You oversee the development, testing and implementation of Data Solutions including ETL, Analytics, Data Quality and Lineage in a secure cloud environment. Additionally, you hold teams accountable for quality of code, and achieving committed work within a sprint, release, or roadmap, lead code reviews to ensure best practice coding processes. Mentoring developers on improvements. You also define and manage resource requirements and allocations, monitor and improve quality, and ensure 'best practice' development techniques. You create better ways of solving technical problems and not be afraid of challenging the status quo and work to plan releases and release schedules. As a part of your responsibility you, manage intake process for application project estimates, identify bottlenecks across SDLC, evaluate performance opportunities, and implement and manage Key Performance Indicators and successfully execute Agile Scrum practices including capacity estimation, story pointing, measuring/monitoring velocity, and leveraging ceremonies and practices accordingly and developing proofs of concept (POC) as needed to evaluate product and technical strategies. Excellent communication, presentation, and negotiation skills needed to facilitate brainstorming sessions, build consensus, and shepherd solutions through governance forums is required.</div><div></div><div>
Work Arrangement: This is a hybrid role with an expectation to be in office at least 2 days per week in Chicago Downtown, rest of the days maybe remote.</div><div></div><div>
How you&rsquo;ll succeed</div><ul><li><div>
Critical Thinker &ndash; Create better ways of solving technical problems and not be afraid of challenging the status quo. Define and manage resource requirements and allocations, monitor and improve quality, and ensure 'best practice' development techniques.</div></li><li><div>
Strong Leader &ndash; Lead and inspire onshore and offshore team with multiple skillsets. Encourage internal growth within individual roles.</div></li><li><div>
Relationship building &ndash; Grow your network, deepen existing relationships, and collaborate with others to ensure the team is connected to the right people and opportunities. Promote collaboration among technology, product, and business teams to deliver high value enhancements to the Bank&rsquo;s data ecosystem.</div></li></ul><div></div><div>
Who you are</div><ul><li><div>
You can demonstrate 5+ years of experience as a Development Lead on Data Applications with strong Data infrastructure and Data Architecture skills with a solid proficiency in the Data technology stack, including but not limited to PySpark, Scala, Databricks, ETL, Azure SQL and REST APIs, exposure to Integration and BI Tools such as Tableau, Cognos or Power BI and Expertise in data ingestions, data pipeline development, and optimization, reporting, and advanced analytics using Azure and Databricks (Pyspark/Scala) services. You also possess knowledge of approaches, tools, techniques and roles and responsibilities in providing technical or business guidance to business and technical partners. Significant automation experience for minimizing manual processes, solid understanding of cloud technologies and tools and expert communications with c-suite and key technical partners for development tollgates and governance forums is required. You are Able to document and tell a &lsquo;story&rsquo; for a technical recommendation from framework to feature level, know outstanding DevOps practices for environment management and integrity, security, pipeline management, code integrity, compliance, release management and a solid execution of practices for Jira/Azure DevOps Taxonomies, Story Writing, Story Pointing, Velocity measurement</div></li><li><div>
You act like an owner. You thrive when you're empowered to take initiative, go above and beyond, and deliver results.</div></li><li><div>
You are a caring and accountable leader. You're passionate about developing and coaching to bring out the best in people. You have led diverse, high-performing teams. You have a proven track record of leading and scaling Data Engineering teams, strong operational skills to drive efficiency and speed, strong project management leadership, and a strong vision for how Data Engineering can proactively improve companies.</div></li><li><div>
You know that details matter. You notice things that others don't. Your critical thinking skills help to inform your decision-making.</div></li></ul><div></div><div><div>
California residents &mdash; your privacy rights regarding your actual or prospective employment</div></div><div></div><div><i>
At CIBC, we offer a competitive total rewards package. This role has an expected salary range of </i><i>$150,000.00 - $170,000.00 </i><i>for the Chicago market based on experience, qualifications, and location of the position. The successful candidate may be eligible to participate in the relevant business unit&rsquo;s incentive compensation plan, which may also include a discretionary bonus component. CIBC offers a full range of benefits and programs to meet our employee&rsquo;s needs; including Medical, Dental, Vision, Health Savings Account, Life Insurance, Disability, and Other Insurance Plans, Paid Time Off (including Sick Leave, Parental Leave and Vacation), Holidays and 401(k), in addition to other special perks reserved for our team members.&rdquo;</i></div><div></div><div><i>
This position does not offer visa sponsorship.</i>
</div><div></div><div>#LI-TA</div></div></div></div></div><div></div><div>
What CIBC Offers</div><div></div><div>
At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.</div><ul><li><div>
We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.</div></li><li><div>
Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.</div></li><li><div>
We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.</div></li></ul><div></div><ul><li>Subject to plan and program terms and conditions</li></ul><div></div><div>
What you need to know</div><ul><li><div>
CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact <div>Mailbox.careers-carrieres@cibc.com</div></div></li><li><div>
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.</div></li><li><div>
We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.</div></li></ul><div></div><div>
Job Location</div>
IL-70 W Madison St, 10th Fl<div></div><div>
Employment Type</div>
Regular<div></div><div>
Weekly Hours</div>
40<div></div><div>
Skills</div>
Agile Methodology, Analytical Thinking, Application Development, Communication, Data Solutions, Decision Making, Emerging Technologies, People Management, Project Management Technology, Scrum, Technical Leadership, Work Collaboratively</div>

Data Engineering Manager

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>12/12/2025</p>
</div><div><p>Description</p>
<div>Senior Lead Software Engineer, Back End<p>
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.</p><p>
What You&rsquo;ll Do:</p><ul><li>
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company</li><li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>
Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services</li></ul><p>
Basic Qualifications:</p><ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 6 years of professional software engineering experience (Internship experience does not apply)</li><li>
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)</li></ul><p>
Preferred Qualifications:</p><ul><li>
Master&rsquo;s Degree</li><li>
9+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js</li><li>
3+ years of experience with AWS, GCP, Azure, or another cloud service</li><li>
4+ years of experience in open source frameworks</li><li>
1+ years of people management experience</li><li>
2+ years of experience in Agile practices</li></ul><p><i>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</i></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
Chicago, IL: $204,900 - $233,800 for Sr. Lead Software Engineer<br>
<p></p>
McLean, VA: $225,400 - $257,200 for Sr. Lead Software Engineer<br>
<p></p>
Richmond, VA: $204,900 - $233,800 for Sr. Lead Software Engineer<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p>
Senior Lead Software Engineer, Back End<p>
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.</p><p>
What You&rsquo;ll Do:</p><ul><li>
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company</li><li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>
Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services</li></ul><p>
Basic Qualifications:</p><ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 6 years of professional software engineering experience (Internship experience does not apply)</li><li>
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)</li></ul><p>
Preferred Qualifications:</p><ul><li>
Master&rsquo;s Degree</li><li>
9+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js</li><li>
3+ years of experience with AWS, GCP, Azure, or another cloud service</li><li>
4+ years of experience in open source frameworks</li><li>
1+ years of people management experience</li><li>
2+ years of experience in Agile practices</li></ul><p><i>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</i></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
Chicago, IL: $204,900 - $233,800 for Sr. Lead Software Engineer<br>
<p></p>
McLean, VA: $225,400 - $257,200 for Sr. Lead Software Engineer<br>
<p></p>
Richmond, VA: $204,900 - $233,800 for Sr. Lead Software Engineer<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>
</div><div><p>Salary</p><p>
204,900.00 - 233,800.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Senior Lead Software Engineer, Back End

Realign

<div><p>Job Type: Contract</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Role: Sr. Cloud DevOps Engineer</b></div><div><b>
Location: Chicago. IL (Hybrid)</b></div><div><b>
Contract</b></div><div><b><br>
Description :</b><br>
Sr. Cloud DevOps Engineer will be aligned to our Platform Scrum team and will support across all Domain Teams to enhance and maintain our existing Pipelines for Wealth Passport our Global Family Office (GFO) SaaS solution.<br>
This role is responsible for designing, building, and maintaining scalable cloud infrastructure using Azure and Pivotal Cloud Foundry. Key duties include creating automated CI/CD pipelines with GitHub Actions, managing containerization and orchestration through Docker and Kubernetes, and implementing Infrastructure as Code with Terraform. The position ensures system reliability through comprehensive monitoring and logging, collaborates effectively with offshore teams, and bridges Development and Operations to enable secure, efficient software delivery. Strategic automation, robust security, and alignment with business objectives are central focus areas.<br>
<br>
Candidates must be local in Chicago land and required to be on-site in office 3 times a week.<br>
<br>
<b>MAJOR DUTIES:</b><br>
<br>
<b>Cloud Architecture &amp; Management:</b> Design, deploy, manage scalable infrastructure on Azure using services like AKS/Front Door/Key Vaults/APIM/App Gateway etc.<br>
<b>CI/CD &amp; Automation:</b> Develop and maintain automated build, test, and deployment pipelines (GitHub Actions and Gradle).<br>
<b>Infrastructure as Code (laC):</b> Provision and manage infrastructure using Terraform.<br>
<b>Containerization:</b> Manage containerized applications with Docker and orchestrate them with Kubernetes (Centralized AKS).<br>
<b>Monitoring &amp; Observability:</b> Implement monitoring, logging (Dynatrace and Azure Monitor) and alerting for production systems.<br>
<b>Security:</b> Implement security best practices, encryption, and controls at the infrastructure and pipeline levels.<br>
<b>Collaboration &amp; Mentorship:</b> Work cross-functionally with dev/ops teams, lead technical initiatives.<br>
<b>Performance &amp; Reliability:</b> Troubleshoot issues, optimize performance, and ensure high availability (SRE principles).<br>
<br>
<b>KNOWLEDGE/SKILLS:</b><br>
Bachelor's degree or equivalent.<br>
At least 5 years of DevOps/Software Engineering, proven track record with complex systems working within a distributed cross-functional team.<br>
Proficient with Terraform<br>
Cloud: Deep expertise in Azure.<br>
DevOps Tools: Proficient in CI/CD tools, GitHub, Gradle, Maven, Docker, Kubernetes.<br>
Scripting/Languages: Python, Go, Java, Bash scripting.<br>
Networking: Solid grasp of TCP/IP, DNS, Load Balancers.</div><p></p>
<p>Required Skills</p>
<p>DEVOPS ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

Sr. Cloud DevOps Engineer-4

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