ai/ml engineer (senior associate) - remote

senior data engineer

lead data scientist

ai engineer

ai/machine learning data engineer Jobs in Chicago

ai/machine learning data engineer

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

big data engineer

HERE Technologies

<div>What's the role?:
<div>
At HERE Technologies in the Core Map Engineering organization, we are looking for a highly skilled, self-motivated Principal Engineer who is passionate about driving automation in map-making through cutting-edge big data and content engineering solutions. You will have the opportunity to shape the future of our large-scale digital map production by architecting automation frameworks and developing scalable systems that leverage advanced data processing and AI/ML techniques.</div><div>
We offer an environment where you will collaborate with an energetic and dedicated team working on transformative technology that powers products and services used by millions worldwide.</div><div></div><div><br>
Responsibilities</div><ul><li>
Lead the design and implementation of next-generation map-making automation pipelines within Foundation Engineering, leveraging big data, distributed processing, and ML-driven automation frameworks.</li><li>
Architect scalable systems to process, fuse, and validate heterogeneous content (probe data, aerial imagery, sensor data, etc.) to ensure high-quality map content.</li><li>
Partner with product managers, data scientists, and engineers to develop end-to-end solutions that integrate automation, AI/ML models, and rule-based systems.</li><li>
Provide technical leadership and mentorship, setting engineering standards and best practices for automation, data engineering, and content processing.</li><li>
Evaluate emerging technologies, tools, and architectures to continually improve automation efficiency, content accuracy, and processing scalability.</li><li>
Collaborate with cross-functional teams to drive innovation, accelerate deployment cycles, and meet content quality KPIs.</li><li>
Act as a subject matter expert on big data platforms, content pipelines, and automated validation frameworks, evangelizing their adoption across teams.</li></ul><div>
What You&rsquo;ll Get</div><ul><li>
Challenging and impactful problems to solve at global scale</li><li>
Opportunities to learn and implement innovative technologies</li><li>
Work that influences the evolution of automated map-making and location services</li><li>
Freedom to design and drive solutions with high ownership</li><li>
Exposure to a variety of cutting-edge projects in big data, ML, and automation</li><li>
Constructive feedback and professional growth opportunities</li><li>
Collaborative, supportive colleagues across engineering and product teams</li></ul>
Who are you?:
<ul><li>MS or Bachelors in Computer Science, Data Engineering, Software Engineering, or a related discipline.</li><li>
12+ years of professional experience in large-scale software engineering, data engineering, or automation for geospatial or content-driven systems.</li><li>
Proven expertise in big data technologies such as Hadoop, Spark, Flink, Kafka, or equivalent.</li><li>
Strong hands-on experience in distributed data processing, ETL pipeline development, and automation of data-driven workflows.</li><li>
Solid programming skills in Python, Java, or Scala, along with SQL and shell scripting.</li><li>
Experience working with NoSQL databases (e.g., DynamoDB, MongoDB) and GIS datasets.</li><li>
Familiarity with containerization and deployment using Docker and orchestration tools (Kubernetes preferred).</li><li>
Knowledge of data mining, machine learning, and/or automation frameworks for large-scale content processing.</li><li>
Demonstrated ability to lead complex projects, influence stakeholders, and drive technical vision at an organizational level.</li><li>
Excellent communication skills to interact with technical and non-technical teams, including external partners.</li></ul><div>
Preferred Qualifications</div><ul><li>
Experience with automation in geospatial data processing or digital map production pipelines.</li><li>
Background in software development life cycle (SDLC), including CI/CD, testing, and production deployment.</li><li>
Experience in agile development environments.</li><li>
Track record of innovation in building automation frameworks and delivering measurable improvements in system performance and content quality.</li></ul><div>
The expected base salary range for this position is $190,000 to $220,000 per year. Actual compensation will be based on factors such as skills and experience.</div><div>
This position is also eligible for a target annual performance bonus, which is subject to company and individual performance.</div><div></div><div><br>
Life at HERE comes with generous benefits to support your health and overall wellness. Benefits available to US-based HERE employees include health (Medical/Dental/Vision) insurance, retirement savings plans, paid time off &amp; leave policies.</div><div></div><div><br>
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, HERE will consider for employment qualified applicants with arrest and conviction records.</div><div></div><div><br>
HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.</div><div></div><div><br>
Under Section 503 of the Rehabilitation Act of 1973 and VEVRAA, we have developed an affirmative action program (AAP) for individuals with disabilities and protected veterans. Portions of the AAP are available for review by applicants and employees through our People Team.</div><div></div><div><br>
#LI-AG3</div>
Who are we?:
<div>
HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes &ndash; from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.</div><div></div><div><br>
At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people&rsquo;s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.</div></div>

Principal Software Engineer

REPLY

<div><div>Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business</div>
<div>
<div><div><p>As a Data Engineer, you will design, build, and optimize modern data platforms using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. You combine deep technical expertise with strong consulting skills to engage clients, understand their business needs, and translate requirements into scalable solutions. You contribute to solution architecture and deliver high-quality data solutions that drive measurable business value. You are comfortable discussing technical details with engineers, facilitating design sessions with clients, and presenting recommendations to leadership.</p>
</div>
</div></div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul>
<li>Work directly with clients to understand business goals, data challenges, and technical requirements.</li>
<li>Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews.</li>
<li>Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources.</li>
<li>Implement medallion/Lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases.</li>
<li>Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks.</li>
<li>Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security.</li>
</ul><h3 class="jobSectionHeader"><b>Minimum Requirements</b></h3><div>
<ul><li>Bachelor&rsquo;s degree in computer science or related field</li>
<li>4 years of experience in data engineering, data platform development, or cloud data solutions</li>
<li>2 years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies</li>
<li>Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics ,Power BI, Azure SQL, Azure Cosmos DB</li>
<li>Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing</li>
<li>DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)</li>
<li>Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies</li>
</ul></div><h3 class="jobSectionHeader"><b>Preferred Qualifications</b></h3><ul>
<li>Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment</li>
<li>Experience with data management, including data governance, data security, master data management, and familiarity with different industry security requirements</li>
<li>Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft</li>
</ul><div>About Reply</div>
<div></div>
<div>Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.</div>
<div></div>
<div>The base compensation range for this full-time position is between $120,000-$150,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also consider prior experience, relevant skills, education, training, certifications, and other job-related qualifications. If you have questions regarding compensation, the talent acquisition team can provide details during the interview process</div>
<div></div>
<div>Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles.</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Data Engineer

<div><div>Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.</div><br>
<div></div>
<div><br>
We are seeking a Senior Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. In this role, you will combine deep technical expertise with strong consulting skills &mdash; engaging directly with clients, understanding business needs, translating requirements into scalable technical solutions, and communicating clearly with both technical and non-technical stakeholders.</div>
<h3 class="jobSectionHeader"><b>Responsibilities</b></h3><div>
<ul><li>Work directly with clients to understand business goals, data challenges, and technical requirements</li>
<li>Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews</li>
<li>Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources</li>
<li>Implement medallion/Lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases</li>
<li>Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks</li>
<li>Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security</li>
<li>Help establish engineering standards, reusable frameworks, accelerators, and documentation for internal and client teams</li>
<li>Contribute to estimation, project planning, and delivery management for client engagements</li>
</ul></div><h3 class="jobSectionHeader"><b>Minimum Requirements</b></h3><div>
<ul><li>Bachelor&rsquo;s degree in computer science or related field</li>
<li>8 years of experience in data engineering, data platform development, or cloud data solutions</li>
<li>3 years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies</li>
<li>Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB</li>
<li>Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI</li>
<li>Experience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics &amp; reporting, Apache Spark, and networking requirements</li>
<li>DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)</li>
<li>Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies</li>
</ul></div><h3 class="jobSectionHeader"><b>Preferred Qualifications</b></h3><ul>
<li>Azure Database for PostgreSQL</li>
<li>Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment.</li>
<li>Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements</li>
<li>Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps</li>
<li>Experience with Delta Lake, Unity Catalog, and Databricks workspace administration or governance.</li>
<li>Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft</li>
</ul><div><div>About Reply</div>
<div></div>
<div>Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.</div>
<div>
<div></div><div>The base compensation range for this full-time position is between $130,000-$160,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also consider prior experience, relevant skills, education, training, certifications, and other job-related qualifications. If you have questions regarding compensation, the talent acquisition team can provide details during the interview process.</div>
<div></div>
</div><div>Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles.</div>
</div>
<p>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Senior Data Engineer

Acosta Group

<div><p>Acosta Group is seeking a highly skilled and adaptable AI/ML Data Engineer to design, develop, deploy, and support AI-powered solutions that enhance Acosta&rsquo;s internal operations and decision-making capabilities. This role combines deep technical expertise with a strong focus on scalability, reliability, and integration across enterprise platforms such as Azure AI, Power Platform, and Copilot Studio.</p><p>
The ideal candidate will have hands-on experience with cloud platforms (preferably Azure), agentic frameworks (e.g., LangChain), Large Language Models (LLMs), and generative AI techniques including fine-tuning and Retrieval-Augmented Generation (RAG). Proficiency in Python and SQL is essential, along with a solid understanding of vector databases, semantic search, and dimensional data modeling. Experience with Databricks, serverless deployments (e.g., Azure Functions), containerization (Docker/Kubernetes), and CI/CD pipelines using Azure DevOps is highly valued.</p><p>
Beyond technical implementation, the AI Engineer will provide second- and third-level support, mentor business users and citizen developers, and collaborate with cross-functional teams to embed AI into business-critical workflows. The role also supports Acosta&rsquo;s broader AI initiatives by enabling infrastructure readiness, contributing to the AI Center of Excellence, and integrating intelligent automation tools across the enterprise.</p><p></p><p><br>
This is a <b>hybrid role</b> based in our office environment. Candidates will be expected to work as much as 3 days per week onsite depending on proximity to corporate hubs.</p><p>
Essential Functions of this Position</p><ul><li>
Design, develop, and deploy AI/ML models and intelligent automation solutions that support internal business operations and strategic initiatives</li><li>
API Development &amp; Integration: Ability to build and integrate REST/GraphQL APIs to serve AI/ML models.</li><li>
Vectorization &amp; Embeddings: Expertise in vector databases and semantic search.</li><li>
Collaborate with cross-functional teams to identify, scope, and implement AI use cases using tools such as Azure AI, Power Platform AI Builder, and Copilot Studio</li><li>
Integrate AI capabilities into enterprise applications and workflows, including Power Apps, Power Automate, and Microsoft 365</li><li>
Monitor and maintain AI solutions in production, ensuring performance, reliability, and responsible AI practices</li><li>
Provide second- and third-level support for AI-related incidents, enhancements, and deployments</li><li>
Partner with infrastructure and security teams to ensure readiness and compliance for AI workloads</li><li>
Contributes to the development of reusable AI components, templates, and frameworks to accelerate adoption</li><li>
Mentor and support business users and citizen developers in building and scaling AI-powered solutions</li><li>
Participate in the evaluation of new AI tools, platforms, and methodologies to support innovation and continuous improvement</li><li>
Document solution architectures, workflows, and best practices to support knowledge sharing and operational continuity</li><li>
Support the AI Center of Excellence by contributing to governance, enablement, and enterprise-wide AI strategy</li><li>
Maintain and enforce change control processes.</li><li>
Assist in developing and maintaining operational standards and best practices.</li><li>
Leverage AI and automation tools for proactive monitoring, anomaly detection, and incident response.</li><li>
Collaborate with AI Solutions Engineers and the AI Center of Excellence to support infrastructure for AI workloads and pilot initiatives.</li><li>
Ensure infrastructure readiness for hybrid cloud and AI platforms (e.g., Azure ML, VMware Private AI, NVIDIA AI Enterprise).</li><li>
Perform other duties as required and/or assigned.</li></ul><p>
Applicants must be <b>legally authorized to work in the United States and/or Canada</b> without the current or future need for <b>employer-sponsored work authorization</b>.</p><p>
Minimum Education and Work Experience</p><ul><li>
Bachelor&rsquo;s Degree in Technology Industry is preferred or equivalent work experience</li><li>
High School Diploma/ GED is required</li><li>
Two (2) or more years of professional experience in Machine Learning, Data Science, or Software Engineering.</li><li>
Microsoft Exam AI-102: Designing and Implementing an Azure AI Solutions (preferred).</li></ul><p>
Knowledge, Skills, and Abilities Requirements</p><ul><li>
Programming: Proficiency in Python (must) and SQL for data manipulation, querying, and automation.</li><li>
Data Warehousing: Solid understanding of data warehouse concepts, including dimensional modeling (fact and dimension tables).</li><li>
Agentic Frameworks: Knowledge of AI agent frameworks and orchestration (e.g., LangChain).</li><li>
LLMs &amp; Generative AI: Strong understanding of Large Language Models, fine-tuning, and RAG pipelines.</li><li>
Knowledge of machine learning fundamentals, including supervised and unsupervised learning, NLP, and generative AI</li><li>
Familiarity with MLOps practices and tools for model lifecycle management and monitoring</li><li>
Understanding of responsible AI principles, including fairness, transparency, and data privacy</li><li>
Ability to rapidly learn and apply new AI tools and frameworks in a fast-evolving technology landscape</li><li>
Experience with cloud-based development environments, particularly Microsoft Azure</li><li>
Ability to support AI solutions in production, including troubleshooting, performance tuning, and incident response</li><li>
 Excellent communication skills (both written and oral) combined with strong interpersonal skills.</li><li>
Strong analytical skills and thought processes combined with the ability to be flexible and work analytically in a problem-solving environment.</li></ul><p><br>
Physical Requirements</p><ul><li>
Seeing</li><li>
Listening</li></ul><p></p><p><br>
The incumbent(s) in this position should exhibit the following Acosta values:</p><ul><li>
People Minded &ndash; Must show dignity and respect to all people</li><li>
Integrity &ndash; Must exemplify the highest degree of ethical behavior</li><li>
Results Oriented &ndash; Must show passion, pride and commitment to succeed</li><li>
Trust &ndash; Must be honest, sincere and confident</li><li>
Teamwork &ndash; Must build trusting relationships</li><li>
Innovation &ndash; Must progress through a combination of creativity, common sense and vision</li><li>
Balance &ndash; Must maintain an optimistic attitude and keep perspective on what is important in life.</li></ul><div>
Acosta Group is a collective uniting the most trusted retail, marketing, and foodservice agencies&mdash;Acosta, ActionLink, CORE Foodservice, CROSSMARK, Mosaic, Premium Retail Services, and Product Connections. Together, we connect consumers with the brands they love through omnichannel selling, merchandising, brand advocacy, and integrated marketing.</div><br>
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</div><div>We recognize our associates are the foundation of our success. That&rsquo;s why we prioritize your growth, development, and well-being to help you reach your full potential. With programs designed to support a fulfilling work-life balance, we offer opportunities that fit your lifestyle and ambitions&mdash;whether you&rsquo;re looking for part-time flexibility or full-time career advancement.</div><br>
<div>
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</div><div>Ready for a career path that&rsquo;s as unique as you? Discover your path at Acosta Group!</div><br>
<div>
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</div><div>Acosta Group is an equal opportunity employer and will ensure that applicants with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed, please contact AskHR@acosta.com. Be sure to include &quot;Applicant Accommodation&quot; in the subject of your email to expedite the request.</div><br>
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</div><div>Acosta Group believes in good faith that the minimum and maximum annual salary or hourly compensation range for this opportunity is accurate and reasonable at the time of posting.</div><div><br>
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</div><div><p>The Acosta Group utilizes E-Verify for validating the ability to work in the United States for all job candidates. If you want more information on what this entails and your rights as a job applicant, please use the link provided to access information on our use of E-Verify and your right to work. Employer Resources (e-verify.gov)</p></div><div><br>
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</div><div>By applying, you agree to our Privacy Policy and Terms and Conditions of Use.</div><br>
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</div><div><b>#DiscoverYourPath</b></div></div>

AI/Machine Learning Data Engineer

<div><h2 class="jobSectionHeader"><b>Description</b></h2>
<div>
<p>Our Health and Benefits business helps large and mid-size clients control health and welfare plan costs, improve health outcomes and promote employee engagement through broad-based, state-of-the-art interventions. We provide solutions encompassing creative plan design, vendor evaluation and management, pricing and funding strategies, data analytics, valuation support, legal compliance and governance strategies. We also provide specialty consulting services including clinical/health management program design, pharmacy solutions, disability/absence management strategies and claims audit services. Product-based solutions such as our pharmacy purchasing coalition round out our broad-based suite of offerings.</p><br>
<p></p>
<p><i>
About the role</i></p><br>
<p></p>
<p>
The Principal Data Engineer is a senior, hands‑on technical leader responsible for designing, building, and evolving scalable, reliable, and cost‑efficient data and analytic platforms that power analytics, reporting, and advanced AI/predictive use cases. This role sets engineering standards, drives platform modernization, and mentors engineering teams while partnering closely with architecture, analytics, product, and governance stakeholders.</p><br>
<p></p>
<p><b>
Technical Leadership &amp; Architecture</b></p>
<ul>
<li><p>Lead the design and evolution of enterprise‑scale data platforms, including ingestion, transformation, storage, and consumption layers</p></li>
<li><p>
Define and enforce data engineering standards, patterns, and best practices (e.g., pipeline design, testing, CI/CD, observability)</p></li>
<li><p>
Serve as a technical authority on data architecture decisions, trade‑offs, and platform strategy</p></li>
</ul>
<p><b>Platform &amp; Pipeline Engineering</b></p>
<ul>
<li><p>Design, build, and optimize high‑performance batch and streaming data pipelines</p></li>
<li><p>
Improve reliability, performance, scalability, and cost efficiency of existing data assets</p></li>
<li><p>
Implement reusable frameworks and reference architectures to accelerate delivery across teams</p></li>
</ul>
<p><b>Databricks &amp; Lakehouse Focus (Strongly Preferred)</b></p>
<ul>
<li>Design and operate Databricks‑based lakehouse solutions using Delta Lake, Spark, and notebooks/jobs</li>
<li>Establish best practices for Databricks workspace architecture, security, performance tuning, and cost management</li>
<li>Lead or support migrations to Databricks and modernization of legacy data pipelines</li>
</ul>
<p><b>Data Quality, Governance &amp; Security</b></p>
<ul>
<li>Partner with data governance and security teams to embed data quality checks, metadata, lineage, and access controls into pipelines</li>
<li>Ensure platforms support regulatory, compliance, and enterprise risk requirements</li>
</ul>
<p><b>Cross‑Functional Collaboration</b></p>
<ul>
<li>Work closely with data architects, analytic engineers, data scientists, product owners, and business stakeholders</li>
<li>Translate business and analytic requirements into scalable technical solutions</li>
<li>Influence roadmaps by tying platform investments to measurable business outcomes</li>
</ul>
<p><b>Mentorship &amp; Engineering Excellence</b></p>
<ul>
<li>Mentor senior and mid‑level engineers; raise the overall technical bar of the team</li>
<li>Lead by example through hands‑on contribution to critical pipelines and platform components</li>
</ul></div><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
<div>
<p><b>The Requirements</b></p>
<ul>
<li>University or college degree in Computer Science, Information Systems, Mathematics, Engineering, Statistics, or related field of study.</li>
<li>8+ years of experience in data engineering or platform engineering roles</li>
<li>Deep expertise in building large‑scale data pipelines and platforms in cloud environments (Azure, AWS, or GCP)</li>
<li>Strong proficiency with distributed data processing (e.g., Spark)</li>
<li>Advanced SQL and strong Python programming skills</li>
<li>Experience designing data models and architectures for analytics and downstream consumption</li>
<li>Experience in data ingestion tools such as Matillion, FiveTran, Airbyte, etc. a plus</li>
<li>Strong analytical skills and experience with data modeling</li>
<li>Strong project management and organizational skills</li>
<li>Proven ability to work independently and with a team</li>
<li>Extensive hands‑on experience with Databricks and Lakehouse architecture strongly preferred</li>
<li>Experience with Delta Lake, Spark optimization, and cost/performance tuning strongly preferred</li>
<li>Experience supporting advanced analytics, machine learning, or AI‑driven use cases</li>
<li>Familiarity with modern data tooling (e.g., orchestration, data quality frameworks, metadata/catalog tools)</li>
<li>Prior experience setting engineering standards or leading platform modernization initiatives</li></ul><br>
<p></p>
<p><b>
Technical Competencies</b></p>
<p><b>
Subject Matter Expertise</b></p><br>
<p></p>
<ul>
<li>Developing expertise<ul>
<li>You strengthen your depth and/or breadth of subject matter knowledge and skills across multiple areas.</li>
<li>You define the expertise required in your area based on emerging technologies, industry practices. You build the team&rsquo;s capability accordingly.</li>
</ul></li><li>Applying expertise<ul><li>
<p>
You apply subject matter knowledge and skills across multiple areas to assess the impact of complex issues and implement long-term solutions. You foster innovation using subject matter knowledge to enhance tools, practices, and processes for the team.</p><br>
<p></p>
</li></ul>
</li></ul><p><b>Solution Development</b></p>
<ul>
<li>Systems thinking<ul>
<li>You lead and foster collaboration across H&amp;B Data Platform Technology to develop solutions to complex issues.</li>
<li>You apply a whole systems approach to evaluating impact, and take ownership for ensuring links between structure, people and processes are made.</li>
</ul></li><li>Focusing on quality<ul><li>
<p>
You instill a quality mindset to the team and ensure the appropriate methods, processes and standards are in place for teams to deliver quality solutions. You create and deliver improvement initiatives.</p><br>
<p></p>
</li></ul>
</li></ul><p><b>Technical Communication</b></p>
<ul>
<li>Simplifying complexity<ul><li>
You develop tools, aids and/or original content to support the delivery and/or understanding of complex information. You guide others on best practice.</li></ul>
</li><li>Influencing stakeholders<ul><li><p>
You are adaptive across a range of situations, effectively tailoring your delivery methods based on your knowledge of stakeholders to have maximum impact and influence.</p></li></ul>
</li>
</ul><p>This position will remain posted for a minimum of three business days from the date posted or until sufficient/appropriate candidate slate has been identified.</p><br>
<p></p>
<p><b>
Compensation and Benefits</b></p><br>
<p></p>
<p>
Benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation (Producer roles only).</p><br>
<p></p>
<p><b>
Compensation</b></p>
<p>
The base salary compensation range being offered for this role is $180,000.00-$225,000.00 USD annually.</p>
<p>
This role is also eligible for an annual short-term incentive bonus.</p><br>
<p></p>
<p><b>
Company Benefits</b></p>
<p>
WTW provides a competitive benefit package which includes the following (eligibility requirements apply):</p>
<ul>
<li><p><b>Health and Welfare Benefits</b>: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Group Accident, Group Critical Illness, Life Insurance, AD&amp;D, Group Legal, Identify Theft Protection, Wellbeing Program and Work/Life Resources (including Employee Assistance Program)</p></li>
<li><p><b>
Leave Benefits:</b> Paid Holidays, Annual Paid Time Off (includes paid state/local paid leave where required), Short-Term Disability, Long-Term Disability, Other Leaves (e.g., Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave), Paid Time Off</p></li>
<li><p><b>
Retirement Benefits:</b> Contributory Pension Plan and Savings Plan (401k). All Level 38 and more senior roles may also be eligible for non-qualified Deferred Compensation and Deferred Savings Plans.</p></li></ul><br>
<p></p>
<p>
Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles County Fair Chance Ordinance for Employers, we will consider for employment qualified applicants with arrest and conviction records.</p><br>
<p></p>
<p><b>
EOE, including disability/vets</b></p></div></div>

Principal Data Engineer - H&B Data & Analytics Platform

Diversified

<b>About Diversified:</b><br>
Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world’s most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back.
<br><br>
<b>What to Expect:</b><br>
At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you.
<br>As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion.
<br>IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED.
<br><br>
<b>How You’ll Contribute:</b><br>
The Senior Microsoft Fabric Data Engineer is responsible for architecting, implementing, and optimizing enterprise-scale data solutions using the Microsoft Fabric platform. This role designs modern lakehouse and warehouse architecture, integrates operational systems via Synapse Link, and helps to ensure strong data governance and compliance through Microsoft Purview. This role partners closely with analytics teams and business stakeholders to deploy features that support advanced reporting, self-service analytics, and AI-driven insights.
<br><br>
<b>What You’ll Do:</b><br>
<ul>
<li>Design and implement enterprise data solutions using Microsoft Fabric, including Lakehouse, Warehouse, Dataflows Gen2, Pipelines, Notebooks, MS Graph, and Real-Time Analytics.</li>
<li>Develop medallion or similar data architectures within OneLake.</li>
<li>Optimize performance, cost, and scalability across Fabric workloads.</li>
<li>Establish CI/CD processes and DevOps practices for Fabric deployments.</li>
<li>Integrate source systems (ERP, CRM, operational databases) using Fabric, Synapse Link, MDMs, and other ingestion frameworks.</li>
<li>Build and maintain robust ETL/ELT pipelines using Fabric Data Factory capabilities.</li>
<li>Design dimensional and semantic models to support PowerBI and enterprise analytics.</li>
<li>Implement enterprise data governance using Microsoft Purview, including data cataloging and lineage, classification and sensitivity labeling, and policy enforcement and access controls (eg., RBAC).</li>
<li>Ensure regulatory compliance (eg., GDPR, SOC 2).</li>
<li>Monitor and optimize system performance, reliability, and availability. Establish logging, alerting, and observability practices.</li>
<li>Support incident response and root-cause analysis for production workloads.</li>
<li>Translate business requirements into technical architecture.</li>
<li>Collaborate with analytics, BI, data science, and application development teams.</li>
</ul>
<b>What You’ll Bring:</b><b>Education/ Certifications:</b><br>
<ul>
<li>Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent education and experience).</li>
</ul>
<b>Required Skills/Qualifications:</b><br>
<ul>
<li>5+ years of experience in data engineering, data warehousing, or analytics engineering.</li>
<li>2+ years of hands-on experience with Microsoft Fabric.</li>
<li>Experience designing lakehouse architectures at enterprise scale.</li>
<li>Proficiency in SQL, Python, Spark, etc.</li>
<li>Experience deploying and managing Microsoft Purview for governance and lineage.</li>
<li>Understanding of Azure identity and security (Azure AD/Entra ID, RBAC, managed identities, security principals).</li>
<li>Understanding of Azure/Fabric billing and utilization analysis.</li>
<li>Experience with CI/CD pipelines (Azure DevOps or GitHub Actions).</li>
<li>Strong analytical and problem-solving skills.</li>
</ul>
<b>Preferred Skills/Qualifications:</b><br>
<ul>
<li>Microsoft certifications (e.g., Fabric Analytics Engineer Associate, Azure Data Engineer Associate).</li>
<li>Experience with Synapse Link.</li>
<li>Experience with DataBricks</li>
<li>Experience with MDM platforms (esp. Profisee).</li>
<li>Experience leveraging data assets from various systems including Microsoft Dynamics 365, PowerBI, SharePoint, Smartsheet, ConnectWise, ExperLogix, D-Tools, ServiceNow</li>
<li>Experience integrating streaming or near real-time data workloads.</li>
<li>Familiarity with PowerBI semantic models and enterprise BI governance.</li>
<li>Experience implementing data quality frameworks and metadata-driven pipelines.</li>
<li>Knowledge of Delta Lake and open table formats.</li>
<li>Master’s degree in a quantitative or technical discipline.</li>
</ul>
<b>What We Offer:</b><br>
Along with competitive compensation, you will be eligible for the following benefits:
<br><ul>
<li>Multiple medical plan options to suit your family’s needs</li>
<li>Dental (including orthodontic coverage) and vision plans</li>
<li>Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP)</li>
<li>Healthcare and Dependent Care Flexible Spending Accounts (FSA)</li>
<li>401k with Employer Match</li>
<li>Paid Time Off and Paid Holidays</li>
<li>Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services</li>
<li>Commuter Benefits</li>
<li>And much more</li>
</ul>
To learn more about becoming part of the Diversified team, visit us at our career siteor email us at careers@onediversified.com.
<br>Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered.
<br>If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact careers@onediversified.com so we can assist you.
<br>Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Senior Microsoft Fabric Data Engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>AI Engineer</div><br>
<div><br>
</div><div>Must Have Technical/Functional Skills
</div><ul><li> 4&ndash;8+ years of experience in software engineering, ML engineering, or AI solution development
</li></ul><ul><li> Strong proficiency in Java and experience
</li></ul><ul><li> Hands on experience with Generative AI / LLMs, including RAG, embeddings, prompt engineering, and agents
</li></ul><ul><li> Solid understanding of data engineering concepts, SQL/NoSQL, and feature pipelines
</li></ul><ul><li> Experience deploying AI solutions on cloud platforms (GCP preferred; AWS/ Azure acceptable)
</li></ul><ul><li> Familiarity with Docker, Kubernetes, and CI/CD pipelines
</li></ul><ul><li> Strong problem solving, communication, and stakeholder collaboration skills</li></ul><br>
<div><br>
</div><div>Roles &amp; Responsibilities
</div><div>We are seeking a highly skilled Java + AI Engineer to design, build, and deploy scalable AI and Generative AI solutions that solve real business problems. The role bridges data science, software engineering, and cloud platforms to operationalize machine learning, LLM based applications, and intelligent automation across the enterprise.
</div><div>________________________________________
</div><div>Key Responsibilities
</div><ul><li> Design, develop, and deploy AI/ML and Generative AI solutions including LLM based applications, RAG pipelines, agents, and predictive models
</li></ul><ul><li> Translate business use cases into production ready AI solutions with measurable outcomes
</li></ul><ul><li> Deep knowledge in Java streams technology
</li></ul><ul><li> Implement LLM orchestration, prompt engineering, vector search, embeddings, and model fine tuning
</li></ul><ul><li> Develop scalable APIs and microservices to integrate AI capabilities into enterprise applications
</li></ul><ul><li> Collaborate with Data Engineers, Data Scientists, Product Owners, and Cloud teams across onshore offshore models
</li></ul><ul><li> Implement MLOps / LLMOps practices including CI/CD, monitoring, versioning, model governance, and observability
</li></ul><ul><li> Ensure Responsible AI, security, compliance, and data privacy by design
</li></ul><ul><li> Support production deployments, performance tuning, and continuous improvement of AI systems</li></ul><br>
<div><br>
</div><div>Salary Range- $100,000-$120,000 a year
</div><div>#LI-OJ1
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Chicago, IL</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>404939</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$120,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

AI Engineer

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