ai/ml engineer (senior associate) - remote

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ai/machine learning data engineer Jobs in Chicago

ai/machine learning data engineer

ai/ml engineer (senior associate) - remote Jobs in Chicago

applied ai/ml - senior associate Jobs in Chicago

applied ai/ml - senior associate

senior lead software engineer

Capgemini

<div><div><div><p>Chicago</p><div>
GCP GKE- Senior Software Engineer</div><p>
</p></div></div><p></p><div><div><div><div><div><p>
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p><div><div><div><div>
Location</div></div><div><p>
This is a hybrid role based across multiple locations - Atlanta, Dallas, Chicago, Nashville, New Jersey</p></div></div><div><div><div>
About the job you're considering</div></div><div><p><br>
The Capgemini team offers extensive career opportunities and provides mentoring and coaching for teammates. This role is an experienced professional with a strong background in software development.</p></div></div><div><div><div>
Your role</div></div><div><ul><li>
Improve system scalability, fault tolerance, and resilience.</li><li>
Maintain and improve security practices including IAM, VPC configurations, firewalls, and secrets management.</li><li>
Troubleshoot and resolve infrastructure and deployment-related issues.</li><li>
Drive automation initiatives to reduce manual effort and increase delivery velocity.</li><li>
Collaborate with development teams to create cloud-ready architectures following DevOps best practices.</li></ul></div></div><div><div><div>
Your skills and experience</div></div><div><p>
</p><ul><li>Senior candidate with 10 plus years relevant experience</li><li>
Worked on Design, deploy, and maintain cloud infrastructure on Google Cloud Platform (GCP).</li><li>
Experience in Build, enhance, and support CI/CD pipelines using tools such as Cloud Build, Jenkins, GitHub Actions, or GitLab CI.</li><li>
Implemented Infrastructure as Code (IaC) using Terraform, Deployment Manager, or similar tools.</li><li>
Configured and managed GKE (Google Kubernetes Engine) clusters, containerized workloads (Docker), and related services.</li><li>
Monitored system performance and reliability using GCP-native tools (Cloud Monitoring, Cloud Logging) and alerting frameworks.</li><li><br>
#LI-RM1</li></ul></div></div></div><p>
The base compensation range for this role in the posted location is: $82,082 - 193,440</p><p>
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p><p>
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p><p>
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p><p>
It is not typical for candidates to be hired at or near the top of the posted compensation range.</p><p>
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><p>
</p><p>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
</p><ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li></ul><ul><li>
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li><li>
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li><li>
Life and disability insurance</li><li>
Employee assistance programs</li><li>
Other benefits as provided by local policy and eligibility</li></ul><p>
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><p>
</p><p>Disclaimers</p><p>
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p><p>
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p><p>
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p><p></p><p><br>
</p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p><p>
</p></div></div><div><div><div><div><div>Ref. code</div><div>
447172-en_GB</div></div><div><div>
Posted on</div><div>
02 Apr 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Chicago</div></div><div><div>
Business unit</div><div>
ABL AMERICAS</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Software Engineering</div></div></div></div></div></div></div></div></div><p></p>

GCP GKE- Senior Software 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>
We are looking for a hands-on and adaptable AI/ML Engineer to join our AI practice. You&rsquo;ll help design, build, and deploy intelligent systems that leverage a range of technologies&mdash;from machine learning to generative AI and agent-based architectures&mdash;to solve complex, real-world problems.<br>
This role spans the full AI solution lifecycle: data preparation, model development, application integration, and ongoing evaluation. You will collaborate closely with architects, and domain experts to ensure the AI solutions you help build are intelligent, reliable, and aligned with client goals.<br>
We work across industries and use cases, from early-stage prototypes to production-ready deployments, and we're continuously exploring new AI paradigms&mdash;including AI agents, agent orchestration layer, model chaining, and self-evaluating systems. If you&rsquo;re excited by emerging AI technologies, fast-moving teams, and applied problem-solving, this is the role for you.<div></div><div><b>
Key Responsibilities</b></div><ul><li><div>
Design and develop AI-powered systems using both traditional ML and generative AI techniques, including prompt engineering, fine-tuning, and embeddings</div></li><li><div>
Build intelligent applications and agents that can perform tasks autonomously or interactively, using frameworks like LangGraph, AutoGen, CrewAI or similar</div></li><li><div>
Create modular, well-documented APIs and service components (e.g., using FastAPI or Flask) to enable model integration and consumption</div></li><li><div>
Develop and manage data pipelines, including data collection, transformation, and quality assurance to support model training</div></li><li><div>
Implement observability and evaluation mechanisms to monitor AI system behavior, including accuracy, drift, reliability, and task-level reasoning</div></li><li><div>
Collaborate with software engineers, data scientists, and solution architects to ensure seamless design, development, and transition to production</div></li><li><div>
Support rapid experimentation as well as robust deployment pipelines, depending on the maturity of each use case</div></li><li><div>
Stay informed on the latest trends in GenAI, AI agents, orchestration protocols, and evaluation frameworks to continuously evolve our capabilities</div></li><li><div>
Support project management tasks, including planning, tracking deliverables, coordinating cross-functional teams, and ensuring alignment with client timelines and objectives</div></li><li><div>
Assist in preparing status reports, managing stakeholder communications, and identifying risks or issues in project execution</div></li></ul><div></div><div><b>
Required Qualifications</b></div><ul><li><div>
3+ years of hands-on experience in AI/ML development or intelligent application engineering</div></li><li><div>
Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field</div></li><li><div>
Experience in Python</div></li><li><div>
Familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)</div></li><li><div>
Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)</div></li></ul><div></div><div><b>
Preferred Qualifications</b></div><ul><li><div>
5+ years of hands-on experience in AI/ML development or intelligent application engineering</div></li><li><div>
Proficiency in Python</div></li><li><div>
Strong familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)</div></li><li><div>
Experience building APIs or backend services using FastAPI, Flask, or equivalent frameworks</div></li><li><div>
Exposure to agent frameworks (e.g., LangGraph, AutoGen) and vector databases</div></li><li><div>
Strong Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)</div></li><li><div>
Familiarity with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or Google AI/ML services</div></li><li><div>
Experience with MLOps pipelines, CI/CD for model delivery, or model monitoring is a plus</div></li><li><div>
Familiarity with orchestration standards or tools such as MCP or agent routing protocols is a plus</div></li><li><div>
Knowledge of AI system evaluation, observability, or prompt performance testing is a plus</div></li><li><div>
Ability to work on cross-functional teams, balance multiple projects, and communicate effectively with technical and non-technical audiences</div></li><li><div>
Cloud certifications in AI/ML services (Azure, AWS, or Google Cloud) is a plus</div></li><li><div>
Experience managing technical projects or performing hybrid engineer/PM roles, with strong organizational and communication skills</div></li><li><div>
Ability to balance hands-on development with project coordination, ensuring both technical quality and timely delivery</div></li></ul><div></div><div>
Flexible living locations across US or Canada, ability to travel as needed.</div><div><br>
The estimated base salary for this job is $130,000 - $160,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron&rsquo;s annual incentive compensation program, which reflects Huron&rsquo;s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $145,600 - $188,800 USD. The job is also eligible to participate in Huron&rsquo;s benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.<br>
<br>
#LI-CL1<br>
#LI-REMOTE</div><div></div><h2 class="jobSectionHeader"><b>
Position Level</b></h2>
Senior Associate<div></div><h2 class="jobSectionHeader"><b>
Country</b></h2>
United States of America</div>

AI/ML Engineer (Senior Associate) - Remote

84.51°

<div><div><p><b>84.51&deg; Overview:</b></p>
<p>
84.51&deg; is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.</p>
<p>
Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51&deg; Insights, 84.51&deg; Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.</p>
<p><i>
84.51&deg; follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection.</i></p>
<p>
Join us at 84.51&deg;!</p>
<p>
__________________________________________________________</p></div><p></p><p><b><br>
SENIOR AGILE DELIVERY (G2) P3176</b></p>
<p><b>
LOCATION: Cincinnati, Chicago</b></p>
<p><b>
SUMMARY</b><b>:</b><b>
</b></p><p>At 84.51&deg;, we build software products that make customers' lives easier and move the retail industry forward with our bleeding-edge data science. We believe high-performing teams deliver exceptional results time and time again.<br>
<br>
As Senior Agile Delivery associate, you'll be part of a team bringing principles-based thinking to create environments of empowerment and accountability &ndash; where product-led delivery teams are charged with solving problems for customers - not given work to do.
<br>
<br>
As scrum master for retail operations &amp; ecomm, you will operate in a time sliced model where you are fully embedded with 1-2 teams and providing targeted consulting &amp; support to the other 3-4 teams. You know what good looks like and how to create flow, helping teams move closer to the problem space and customer. You create strong cross-functional partnerships and co-create standards that give teams the anchor they need in their quest for high performance. You are an executor &ndash; an active team member and a trusted partner who wears a delivery hat. You remove ambiguity and enable the right conversations at the right time.
<br>
You thrive in a workplace of open feedback and trust. Your dream job lets you have fun while learning, improving and taking risks along the way.</p>
<p><b>
RESPONSIBILITIES:</b></p>
<ul>
<li>Create and evolve successful agile team ways of working &ndash; implementing, facilitating, and evolving practices and ownership to create the right flow. Partner to create team standards.</li>
<li>Enable successful sprint / cycle activities - stand-ups, planning, refinement, shaping, demos, releases.</li>
<li>Help bring teams closer to the problem space and enable Product to spend time closer to the customer.</li>
<li>Reduce friction - remove obstacles and impediments and innovate on ways to make value delivery easier.</li>
<li>Act as liaison across teams to successfully align work, dependencies and manage risks including escalation. Remove ambiguity, communicate effectively and create shared understanding across teams.</li>
<li>Provide clear visibility of sprint/cycle/release using electronic and physical information radiators.</li>
<li>Create and maintain metrics for team and stakeholders, using data points and trends to communicate progress, quality, bottlenecks, team health.</li>
<li>Understand team(s) agile maturity and partner cross-functionally to help the team on their journey. Partner to identify coaching opportunities e.g. agile fundamentals, principles, and practices.</li>
<li>Help team(s) identify, prioritize, and execute improvement opportunities.</li>
<li>Promote a fun, learning culture and an environment enabling high performing teams.</li>
</ul>
<p><b>QUALIFICATIONS, SKILLS, AND EXPERIENCE</b><b>:</b></p>
<ul>
<li>4-year degree in related field or equivalent experience</li>
<li>3+ years experience in an agile environment</li>
<li>Product mindset and deep knowledge of agile principles and practices (Scrum, Kanban, DevOps, Scaled Agile)</li>
<li>Certified Scrum Master (CSM or PSM I) (optional)</li>
<li>Software Development, Business Analysis or Project Management experience in an agile environment a plus</li>
<li>Experience in data science, data analytics and insights or adtech a plus</li>
<li>Strong organization, time management and communication skills</li>
<li>High emotional intelligence and ability to build trust and influence others</li></ul></div><p></p>

Senior Agile Delivery (P3176)

Avison Young

<div>Our Story:
<p><b>
About You:</b><br>
You are a high achiever looking to thrive in a fast-paced environment. You take pride in your own work but are comfortable collaborating with a team of highly motivated individuals. You can communicate clearly and concisely with teammates and clients, and you enjoy strong company culture and camaraderie. You can navigate multiple corporate functions, including global lines of service and corporate centers of excellence. You possess strong interpersonal skills and are willing to take on diverse tasks to achieve the team&rsquo;s common goal. You value personal and professional growth and are ready to take the next step in advancing your career.<br>
<br>
If this sounds like you, well, then you will love the culture at Avison Young!<br>
<br>
<b>About Us:</b><br>
Avison Young is a global commercial real estate brokerage and advisory firm, offering transaction, management, financial and consulting services. We&rsquo;ve designed our corporate structure to best serve our clients by enhancing collaboration across our organization.<br>
<br>
Real estate can have an enormous positive impact on people&rsquo;s lives &ndash; and we&rsquo;re in the business of making spaces and places work better for people. Our purpose is to create real economic, social and environmental value as a global real estate advisor, powered by people.<br>
<br>
We care about each other and we have each other&rsquo;s backs. This makes Avison Young a great place to be a client, and a great place to work. We support the whole person and their complete wellness &ndash; economic, mental and physical &ndash; because what&rsquo;s best for our business comes from our people bringing their whole selves to work.</p><div>
Of course we love it here, but outsiders think we&rsquo;re pretty great too! Avison Young has been recognized as one of Canada's Best Managed Companies for the 13th year in a row, with a Platinum Club designation!</div>
Overview:
<p>
Join Avison Young&rsquo;s dynamic Data Architecture team as a Business Analyst, where you will play a pivotal role in bridging the gap between business stakeholders, users, and developers. You will be instrumental in setting and communicating project and product goals, developing technical requirements, conducting acceptance testing, and overseeing deployments and rollouts. Your work will primarily focus on internal data systems, pipelines, and warehousing projects that support our proprietary products and data visualization teams.</p><p></p><div><b><br>
What we value in a business analyst:</b></div><ul><li>
Customer-focused: We believe that prioritizing our customers&rsquo; needs is key to driving our business forward.</li><li>
Attention to detail: Managing complex projects with numerous moving parts requires exceptional attention to detail, organizational skills, and clear communication.</li><li>
Diverse thoughts: We value diverse opinions, perspectives, and experiences, as they lead to better outcomes. You actively listen, empathize with others, and seek collaborative paths forward.</li><li>
Team player: You understand that more can be achieved together. You listen to feedback and provide supportive feedback to help others grow and improve.</li><li>
Pragmatic: You know when to take shortcuts that don&rsquo;t compromise quality or maintainability to quickly learn what our customers desire.</li><li>
Global teammate: Comfortable working in a remote environment, you thrive in a global team setting.</li></ul><div></div><div><br>
The base salary is aligned with market data and is estimated between $93,000 to $120,000 with the ability to achieve additional compensation through bonus. This salary range reflects base compensation for the position across all US locations. Within this range, individual pay is determined by work location and other factors, including relevant education/training, experience, and internal equity.</div>
Responsibilities:
<ul><li>Senior technical position focused on analytics engineering with Snowflake and dbt</li><li>
Additional responsibilities as Scrum Master for the data team</li><li>
Lead requirements gathering process for data initiatives</li><li>
Design and implement data models and transformations</li><li>
Drive data team productivity and project delivery</li></ul><div><b>
Analytics Engineering Responsibilities:</b></div><ul><li>
Design, develop, and maintain data models in Snowflake using dbt</li><li>
Create efficient SQL transformations for complex business logic</li><li>
Implement data quality testing and documentation</li><li>
Optimize query performance and data pipeline efficiency</li><li>
Establish data modeling standards and best practices</li><li>
Develop reusable analytics components and design patterns</li><li>
Collaborate with data engineers on data ingestion and architecture</li></ul><div><b>
Co-ordination Responsibilities:</b></div><ul><li>
Facilitate Agile ceremonies (daily stand-ups, sprint planning)</li><li>
Gather business requirements from stakeholders across departments</li><li>
Translate business needs into technical requirements for the data team</li><li>
Document user stories and acceptance criteria</li><li>
Prioritize backlog items based on business value and technical dependencies</li></ul>
Qualifications:
<ul><li>Expert proficiency in SQL and database management systems.</li><li>
Expert proficiency in writing requirements and testing technology systems.</li><li>
Experience in environment management, deployment management, and testing.</li><li>
Familiar with data warehousing, ETL processes, and data pipelines.</li><li>
Strong analytical skills and complex problem-solving capabilities.</li><li>
Bachelor&rsquo;s degree in Information Technology, Business, or a related field, or equivalent industry experience.</li><li>
At least 4 years of direct experience in a software development-related role.</li></ul>
Workplace Type: On-Site <i>Our Equal Opportunity Commitment</i>:
<p>
Avison Young practices as an equal opportunity employer in all services locations around the world. We are committed to building and maintaining a workforce diverse in experience, skills and knowledge with uniformity in service excellence, commitment and integrity.</p><p></p><p><br>
The firm maintains a strict policy to ensure employment opportunities are equal and do not discriminate based on race, color, religion, creed, age, sex, gender, gender identity or expression, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, protected veteran or military service status, or any other elements protected by law.</p><p></p><div><br>
Avison Young welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates during the recruitment process. For those requiring assistance, information relating to the need for accommodation and accommodation measures will be addressed confidentially.</div><p></p><p><br>
Avison Young is committed to employing the best talent with the most fair and equitable recruitment practices. Apply with us TODAY!</p></div>

Senior Data Engineer

The Hartford

<div>Sr Staff Data Engineer - GE07DE<p>
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future.<br>
</p><p></p><p>T07</p><p>
A new role can expand your knowledge and your network and help you learn more about our business. If you think this opportunity is a fit for your career you should apply. If you are not sure you can have a conversation with your manager.</p><p>
The Enterprise Data Services Department&rsquo;s Personal Insurance team is seeking a hands-on Sr Staff Data Engineer to build and scale its Data assets on Snowflake and AWS platform. The role focuses on technical leadership, integrating data from new data sources, curating and transforming it into high-quality data products for actionable insights, using a mix of solutions spanning AI and Cloud technologies.</p><p>
Ideal candidates bring deep expertise in data engineering frameworks and tools, proficiency in programming languages, and experience with DevOps / DataOps pipelines, cloud platforms, and agile methodologies. Strong problem-solving, communication, and collaboration skills are essential, along with a proactive mindset and the ability to thrive in complex, fast-paced environment.</p><p>
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office should maintain their current work arrangement with the expectation of coming into the office as business needs arise.</p><p>
Key Responsibilities:</p><p>
Design, develop, and optimize highly scalable batch and near‑real‑time data pipelines supporting structured and unstructured data sources (XML, JSON, Parquet).</p><p><br>
Lead the delivery of curated, analytics‑ready data products supporting reporting, advanced analytics, regulatory, and machine learning use cases.</p><p>
Implement robust error handling, reconciliation, restartability, and performance optimization to ensure platform reliability and data integrity.</p><p>
Partner with Data Governance team for metadata management, data lineage, data quality monitoring and data privacy controls.</p><p>
Evaluate and apply AI‑assisted engineering tools to improve developer productivity, accelerate delivery, and enhance data solutions.</p><p>
Qualifications, Required Skills &amp; Experience:</p><p>
Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.</p><p><br>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related discipline.</p><p><br>
8+ years of progressive experience in data engineering, with significant hands‑on expertise developing and deploying large-scale data and analytics applications on cloud platforms such as AWS and Snowflake.</p><p><br>
5+ years of hands-on experience with Python and PySpark / Spark for data ingestion, transformation, and pipeline development.</p><p>
Deep hands‑on experience with Snowflake, including SQL development, ELT design, performance optimization, and semi‑structured data handling.</p><p>
Good experience working with disparate data sources- Structured, semi-structured data (Flat files, XML, JSON, Parquet) and unstructured data.</p><p>
Good experience with version control tools, CI/CD pipelines and DevOps tools like GitHub, Jenkins, Nexus and uDeploy.</p><p><br>
Strong background in Data Profiling, Data Modeling and Data governance concepts is key to this role.</p><p><br>
Nice to have</p><ul><li><p>
Certifications in AWS Data &amp; Analytics Services, AI and Snowflake.</p></li><li><p>
Experience using AI‑assisted development tools to improve productivity in SQL development, data pipeline creation, testing, and documentation.</p></li><li><p>
Experience in the Insurance industry and policy administration data environments</p></li><li><p>
Experience with Informatica Data Management Cloud</p></li></ul><p>
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).</p><p>
Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.</p><p><b>
Compensation</b></p><p>
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:</p>
$135,040 - $202,560<p>
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</p></div>

Sr Staff Data Engineer

DB Sterlin Consultants, Inc

<div><p><b>POSITION GOAL</b></p><p>
The PMO Civil Project Engineer III will oversee and manage various service providers to support the Chicago Department of Water&rsquo;s (DWM) multi-billion Capital Improvement Program (CIP). This position will provide oversight to various service providers in completing a range of CIP projects, including planning, design, and construction oversight. Furthermore, this role will also perform moderate to advanced level project management functions. This position supports all aspects of design projects for roadways, utilities, transit, etc.; prepares schematics &amp; models; performs analysis &amp; engineering calculations; develops plans, specifications &amp; estimates; prepares technical engineering reports; leads development of scope and fee proposals for moderate to advanced complexity projects; leads monitoring of project budget and staff assignments; leads QAQC of project deliverables.</p><p>
</p><div><b>ESSENTIAL DUTIES &amp; RESPONSIBILITIES - GENERAL</b><br>
<ul><li>Possess foundational engineering concepts.</li><li>Acquire advanced knowledge and skills through mentored experience.</li><li>Evaluate and applies standard techniques, procedures, and criteria to perform assigned tasks as part of a broader assignment.</li><li>Perform work assignments of advanced complexity. Contributes to specific objectives and outcomes.</li><li>Provide instruction on specific objectives and direction on possible solutions to unconventional or complex problems.</li><li>Work as part of a team and coordinates work with others.</li><li>Establish project work priorities and plans work appropriately.</li><li>Receive minimal supervision and is expected to work independently.</li><li>Possess proficient oral and written communication skills.</li><li>Interact with both internal project team members as well as direct communication with clients or other stakeholders.
</li><li>Adhere to project deadlines and keeps the task manager or client informed of any issues impacting scheduled deadlines.</li><li>Has the primary responsibility for review of project work by other staff.</li></ul><br>
</div><div><b>ESSENTIAL DUTIES &amp; RESPONSIBILITIES &ndash; SPECIFIC</b><br>
<ul><li>Oversee development of detailed construction plans for roadway, utility, electrical, and transportation projects using Bentley and/or AutoDesk software.
</li><li>Coordinate design changes and revisions based on internal and external feedback.</li><li>Communicate regularly with internal design staff and project lead to coordinate the progress of various assignments and adhere to project deadlines. Acts as discipline or project lead. May communicate progress to client.</li><li>Independently manage time and schedule to achieve multiple project milestones.</li><li>Organize and maintain project files. Lead documentation of correspondence and meeting minutes.
</li><li>Evaluate and apply applicable current engineering standards, and federal and/or local requirements to assigned projects.</li><li>Lead the coordination and documentation of quality control reviews throughout the lifecycle of a project.
</li><li>Manage tasks and/or projects of moderate to advanced complexity.</li><li>Act as main point of contact with client or with project lead (on projects led by other disciplines).</li><li>Manage permit development, compliance, and reporting. Obtain, update, and maintain MS4 permit and the plans associated with them (Notice of Intent, Annual Report, Stormwater Management Plan, etc.), in addition to standard operating procedures.</li><li>Maintain inventory of all City department tasks required as part of MS4 permit compliance year-round; ensure on-time delivery of yearly submissions.</li><li>Conduct research, site assessment, and investigation of CSO outfalls; development of summary maps for client presentations.</li><li>Make recommendations and provide commentary on environmental policy standards, regulations, and best practices in compliance with the Clean Water Act; serve as a liaison with state environmental agencies, City of Chicago departments, and the EPA.</li><li>Determine the source of the pollutants and implement the process by which to eliminate/prevent. Perform other duties as assigned.</li></ul><br>
</div><p><b>COMPETENCIES</b></p><ul><li>Knowledge of mathematics and its application to field surveying and engineering computations.</li><li>Knowledge of pollutant tracing and prevention practices for illicit discharge and construction site runoff</li><li>Can work effectively as a team player.</li><li>Ability to build constructive working relationships characterized by a high level of acceptance, cooperation, and mutual respect for our stakeholders.</li><li>Show insight into the root causes of problems. Generates a range of solutions and courses of action with benefits, costs, and risks associated with each.</li><li>Consider both short and long-term interests of the client in making decisions.</li><li>Demonstrate a professional demeanor, high ethical standards, respect, and commitment to service excellence.</li><li>Able to understand the perspective of others before making decisions and taking action.
</li><li>Understand water sampling and monitoring methods utilized by City entities for Total Maximum Daily Load monitoring and data collection to assess water quality<br>
</li></ul><p><b>POSITION REQUIREMENTS:</b></p><p><b>
Education:</b> Bachelor&rsquo;s degree from an accredited institute of higher education with a major study in engineering.
</p><p><b>Licensure:</b> Professional Engineer (PE) preferred.
</p><p><b>Job Classification:</b> Exempt (Salaried)</p><p><b>
Report to:</b> Project Engineer &ndash; Team Lead or Department Head</p><p><b>
Experience:</b> Typically 15+ years required.
</p><p><b>Communication Skills:</b> Excellent verbal and written communication skills.</p><p><b>
Technical Skills: </b>Advanced experience with pollutant tracing and prevention practices for illicit discharge and construction site runoff<b>; </b>Spatial and design skills to visualize projects in 2D and 3D. Advanced engineering skills to compliment position goal. Advanced experience with Microsoft Office Suite, Adobe, Bluebeam, and CADD software, specifically the Bentley Suite of products including Open Roads Designer, ProjectWise and/or AutoCAD Civil 3D. Moderate to advanced experience with project scheduling. Previous experience with water infrastructure projects is preferred.</p><p><b>
Supervisory Responsibilities:</b> Supervises the work of less experienced staff; leads tasks and/or projects of moderate to advanced complexity.</p><p><b>
Physical Demands:</b> Must be able to sit, walk, stand, reach with hands and arms, stoop or kneel, climb, or balance, talk, or hear, and use fingers and hands to feel objects tools or control. Must be able to lift and/or move up to 25 pounds on occasion.
</p><p><b>Working Environment:</b> This job may require long periods of standing or walking in the field and include exposure to all types of outside weather conditions, varying noise levels, and hazards associated with construction. Wearing of required Personal Protective Equipment is required while performing work in the field. The employee may also be exposed to a general office environment, requiring long pWeriods of sitting at a computer in ambient inside temperature, lighting and noise level. Due to the collaborative nature of this position, the work will need to be performed in the field or office, typically during normal business hours. Travel is required; must possess a valid license.
</p><p><b>Continuing Education:</b> Complete state-required competency. Attend job-related seminars and workshops.
</p><p><b>Salary Range: </b>$143,000 - $157,000 per year
</p><p>Reasonable accommodation may be made to enable individuals with disabilities to perform these essential functions.</p></div>

PMO Civil Project Engineer lll

<div><div><p><b>84.51&deg; Overview:</b></p>
<p>
84.51&deg; is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.</p>
<p>
Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51&deg; Insights, 84.51&deg; Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.</p>
<p><i>
84.51&deg; follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection.</i></p>
<p>
Join us at 84.51&deg;!</p>
<p>
__________________________________________________________</p></div><p></p><h1 class="jobSectionHeader"><b><br>
Senior Data Scientist Consultant, SPI &ndash; Agent Platform Team</b></h1>
<h2 class="jobSectionHeader"><b>Summary</b></h2>
<p>
The Agent Platform Team, within AI Enablement at 84.51&deg;, owns and manages the core platforms that power data science and AI across the organization. This role sits on the <b>SPI (Science Platform Innovation) squad</b> and is focused specifically on the <b>Databricks environment</b> and its evolving AI/ML capabilities.</p>
<p>
You will be the bridge between the engineers building and maintaining our Databricks platform and the data scientists who use it every day. You are not building models for end-clients. Instead, you ensure the platform behaves as expected for the people on it&mdash;that new capabilities are tested, documented, and adopted smoothly, and that practitioner pain points make it back to the platform team in a way that shapes the roadmap.</p>
<p>
You'll build deep familiarity with Databricks' infrastructure and AI powered capabilities &mdash;including Genie Code, Genie spaces, Agent Bricks, MLflow, and other features as they emerge&mdash;as well as the Unity Catalog governance layer that underpins them. You'll test and evaluate new Databricks features and relevant third-party integrations from the perspective of an end-user, document your findings, and help the team decide what to adopt, how to roll it out, and what to skip.</p>
<p>
This is a small, highly collaborative squad. Everyone pitches in on a bit of everything. Priorities shift frequently as the Databricks roadmap evolves. Success in this role is less about fixed technical expertise and more about comfort with ambiguity, good judgment about where to spend your time, and the ability to influence without direct authority.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities</b></h2>
<ul><li><b>Voice of the practitioner:</b> Serve as the primary liaison between data scientists using Databricks and the platform engineering team. Gather requirements, surface pain points, and translate practitioner needs into actionable feedback that shapes platform decisions and roadmaps.</li>
<li><b>Technology evaluation:</b> Lead the testing and evaluation of new Databricks capabilities (e.g., Mosaic AI features, Model Serving enhancements, Genie, new Unity Catalog functionality) and relevant third-party tools. Document findings, recommended use cases, limitations, and rollout considerations. Over time, this may evolve from hands-on beta testing toward designing and coordinating evaluation efforts across groups of practitioners.</li>
<li><b>Onboarding &amp; enablement:</b> Write guides, maintain documentation, lead training sessions, and run office hours to help data scientists adopt new platform capabilities. Partner with Learning &amp; Development where appropriate. Serve as a first line of support when teams hit roadblocks.</li>
<li><b>Adoption &amp; communication:</b> Evangelize Databricks capabilities to increase awareness and drive adoption. Produce clear release notes, communications, and materials for both technical and non-technical audiences.</li>
<li><b>Cross-functional collaboration:</b> Work closely with the solution architect, cloud engineer, and product senior on the squad to ensure proposed technologies have well-defined use cases and that guidelines and best practices are established. Act as a data science ambassador to cross-functional teams, explaining recommended workflows and the reasoning behind platform choices.</li>
<li><b>Governance &amp; compliance support:</b> Help validate that new platform capabilities meet enterprise requirements around security, compliance, observability, and data governance (e.g., Unity Catalog lineage, Azure connectivity).</li>
</ul><h2 class="jobSectionHeader"><b>Qualifications &amp; Experience</b></h2>
<ul><li>Bachelor's degree in mathematics, statistics, computer science, economics, or a related discipline.</li>
<li>2&ndash;4 years of experience in data science, AI/ML development, or applied analytics.</li>
<li>2&ndash;4 years of experience in tech consulting, retail analytics, or related professional services.</li>
<li>Hands-on experience with <b>Python, SQL, and PySpark</b>.</li>
<li>Experience gathering user needs, documenting requirements, and driving issues to resolution with technical teams.</li>
<li>Experience partnering with software engineering and/or product management teams.</li>
<li>Familiarity with LLMs, prompt engineering, or agentic AI concepts is a strong plus.</li>
<li>Experience with the Databricks ecosystem (Unity Catalog, MLflow) is a strong plus.</li>
<li>Exposure to agent frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen) is a plus.</li>
</ul><h2 class="jobSectionHeader"><b>Skills</b></h2>
<ul><li>Strong written and verbal communication, including the ability to explain technical concepts clearly to non-technical audiences and produce high-quality documentation.</li>
<li>Ability to influence across teams and seniority levels without direct authority.</li>
<li>Comfort operating in ambiguity&mdash;priorities shift frequently, and you need good instincts about where to focus.</li>
<li>Strong project and time management skills; able to manage multiple priorities with minimal oversight.</li>
<li>Curiosity and enthusiasm for emerging AI technologies and a genuine desire to become a subject matter expert on the Databricks platform and its AI capabilities.</li></ul><br>
<p></p>
<p>
#LI-SSS</p></div>

Senior Data Scientist Consultant - Agentic Platform (P2393)

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