Data Engineer Jobs in Illinois, United States

Director of Data Engineering & Data Science Engineering at RB Global leads the data & AI function, defining vision and architecture for Azure-based analytics and ML solutions. The role builds scalable data platforms, drives BI modernization, and partners with Ops, Sales, Marketing, and Product to solve high-value problems.

Physical AI Platform, Data Engineering team at Caterpillar builds the intelligence layer connecting machines, data, and people to enable autonomous construction sites. The Senior Data Engineer designs, builds, and maintains scalable data pipelines and cloud-native ingestion services on AWS, ensuring high‑quality data for AI models and edge computing.

Physical AI Platform, Data Engineering team at Caterpillar builds the intelligence layer connecting machines, data, and people to enable autonomous construction sites. The Lead Data Engineer designs, builds, and maintains scalable data pipelines and cloud platforms on AWS, collaborating with software engineers and architects to deliver high‑quality data for AI models.

AbbVie seeks a Senior Data Engineer II for the Operational Business Insights team in North Chicago, IL, to design and develop scalable data solutions and platforms that enable efficient data processing and presentation. Day-to-day work includes building secure endpoints, implementing data governance and performance optimizations, collaborating with data engineers, reporting teams, and data scientists, and providing technical leadership on data integration challenges.

Lead Data Engineer on Caterpillar's Physical AI Platform, Data Engineering team, building the intelligence layer that connects machines, data, and people to enable autonomous construction sites and safer, more productive jobsites. Day-to-day, you design, build, and maintain scalable data pipelines, microservices, and cloud-based data platforms; lead solution design and optimization for real-time and batch processing; drive cloud-native ingestion and streaming on AWS; and partner with stakeholder

Data Engineering team at Capgemini builds scalable, cloud‑native data platforms on Google Cloud. The Lead Data Engineer designs and architects secure, cost‑effective solutions, leads batch and real‑time ingestion pipelines, and contributes hands‑on to implementation.

Senior Azure Data Engineer at CSpring, a purpose‑driven consulting firm, building next‑generation enterprise data platforms on Microsoft Azure. Designs scalable data pipelines, lakehouse architectures, and ELT workflows for analytics, reporting, and AI/ML use cases.

The Lead Data Engineer, Applied AI Data Ingestion & Integration (DII) team at BMO Financial Group accelerates BMO’s AI journey by building enterprise-grade, cloud-native capabilities and AI solutions. As a Lead Data Engineer, you will lead the analysis, profiling, integration, quality assessment, and operationalization of structured, semi-structured, and unstructured data for AI, machine learning, and Generative AI applications, including multimodal ingestion pipelines, RAG solutions, and MCP to

The Lead Data Engineer, Applied AI Data Ingestion & Integration (DII) role sits within BMO's DII team, which accelerates BMO's AI journey by building enterprise-grade, cloud-native capabilities and AI solutions. Day-to-day, you will lead the analysis, profiling, integration, quality assessment, and operationalization of structured, semi-structured, and unstructured data for AI, machine learning, and Generative AI workloads, including multimodal ingestion pipelines, RAG solutions, and MCP tooling

Data Engineering team at Early Warning builds and evolves the modern data platform powering Zelle, one of the largest digital payments networks in the U.S. The Staff Engineer designs data strategy, drives architecture, leads technical planning and backlog, and partners with product, architecture, and platform engineering to deliver secure, scalable data capabilities that support next‑gen payment products and AI/ML workloads. Hybrid work model across Scottsdale, San Francisco, Chicago, and New Yo

The Hartford's Tech & Data Program Summer 2027 seeks a Data Engineer Intern to help build and support data pipelines, platforms, and processes that enable analytics, reporting, automation, and AI-driven insights across the organization. Day-to-day work includes designing and supporting data pipelines, applying data engineering tools like Python, SQL, and ETL/ELT, ensuring data quality, and collaborating with cross-functional teams on scalable data solutions.

Akuna Capital seeks a Software Engineer – Data Engineering to join its data‑driven team in Chicago. The role focuses on designing, building, and maintaining scalable data pipelines and infrastructure that support trading, quant, and business operations.

Verizon seeks a Principal Engineer Data Engineering to design, build, and optimize enterprise data architecture that drives strategic insights and high-impact business decisions. Day-to-day, you will lead end-to-end ETL/ELT pipeline development, manage cloud-based data warehouses, and integrate DevOps and automated workflows into the data ecosystem.

U.S. Bank seeks a Senior Software Engineer (Data & Application Engineer) to design, build, and maintain scalable software and data solutions that enable commercial banking and treasury management capabilities. Day-to-day work includes developing data pipelines, APIs, microservices, and reporting solutions; collaborating with product owners, architects, and platform teams; driving production support and performance tuning; and supporting cloud adoption, automation, and DevOps modernization.

In EY’s Office of the CTO, the Advanced Forward Engineering (AFE) team deploys AI‑native systems into highly regulated client environments such as tax, finance, and risk. As an AFE Data Engineer, you serve as the data owner within forward‑deployed delivery pods, designing ingestion, transformation, and access patterns that integrate enterprise AI with legacy data sources while ensuring governance, security, and lineage compliance.

The Data Engineer at this Oak Brook, IL organization designs, develops, and optimizes enterprise data pipelines and platforms to deliver scalable, secure cloud data solutions. Day-to-day work includes building and maintaining pipelines with Azure Data Factory, Databricks, and Microsoft Fabric, developing data lakes and warehouses using MSSQL, implementing ETL/ELT best practices, and collaborating with analytics, BI, and business teams to translate requirements into reliable data assets.

Enterprise Data, Analytics, and AI (EDAA) organization at McDonald’s builds smarter digital and data systems to transform operations and elevate guest experiences. As a Data Engineer III on the Data Clean Rooms team, you will design, build, and maintain data pipelines for clean‑room generation, audience activation, and downstream analytics across GCP, AWS, and LiveRamp, while mentoring junior engineers.

Data Infrastructure Team at Groupon builds and modernizes the data platform that powers merchant deals, customer transactions, and operational decisions. The Database Engineer deploys, configures, and manages databases and big‑data platforms (BigQuery, Hadoop, Redis, etc.), ensures high availability, performance, and cost efficiency, and partners with data engineering to design schemas and support pipelines.

RethinkFirst is a behavioral health technology company building cloud-based platforms (RethinkEd, RethinkCare, RethinkBH) to make mental wellness and support accessible and scalable. As a Data Engineer, you will design, build, and maintain the Microsoft Fabric Lakehouse while migrating the Azure Synapse enterprise data warehouse, owning the full lifecycle from scalable pipeline and dimensional model design through production support.

Marks Engineering team builds data systems that enable sustainable packaging development and supply‑chain optimization. The Packaging Data Engineer designs a central packaging database, creates automated EPR reporting tools, and delivers analytics dashboards for cost and performance insights.