Top Data Engineer Jobs in Chicago, IL

The Data Engineer will architect and deploy Big Data environments, manage data pipelines, and ensure data integrity across the organization.

The CDP Data Engineer will configure data flows and schemas in Adobe platforms, ensuring quality data ingestion and identity resolution for telecommunications clients.

The Data Engineer Co-op will work on web data feeds, utilize AI technologies and frameworks, and develop data pipelines.

The Data Engineer I will develop scalable data platform solutions, design ETL processes, optimize SQL queries, and collaborate with teams in Agile environments.

As a Data Engineer III, you will develop data solutions, lead projects, mentor peers, and ensure efficient data pipelines within cloud architectures.

The Data Engineer will develop and maintain scalable data pipelines, collaborate with teams, implement data warehousing, apply machine learning, ensure code quality, and develop CI/CD pipelines for data-driven solutions.

The Junior Data Engineer role involves working with data platforms, optimizing data pipelines, and collaborating with portfolio managers to meet business requirements.

The Data Engineer designs, develops, and maintains data architecture and pipelines, collaborates with teams to generate insights, and leads the implementation of analytics tools to optimize productivity.

The Data Engineer III will design, develop, and support data solutions using Azure technologies while analyzing and optimizing data processes.

The Staff Data Engineer will define the technical strategy for enterprise data systems, build and optimize data pipelines, and provide architectural leadership while mentoring teams and ensuring data excellence.

Design and build secure data pipelines, lead data architecture, collaborate across teams, ensure data quality, and mentor other engineers.

This role involves building and maintaining data pipelines, developing data models, and ensuring data discoverability while enabling scalable analytics on blockchain data.

As a Data Engineer 2, you'll design, build, and maintain data systems, transforming data into insights to improve member care. You'll work independently, requiring minimal supervision while collaborating with teams and leveraging tech for impactful solutions.

The Senior AI Data Engineer will design and maintain datasets for AI models in cybersecurity, ensuring data quality and relevance while collaborating with teams.

As a Data Engineer, you will design and implement a data platform, maintain data pipelines, work with Airflow and BigQuery, and ensure data compliance while collaborating with teams.

The Principal Data Engineer will own data infrastructure, design data pipelines, drive improvements to data systems, and collaborate across teams for optimal data delivery and performance.

As a Data Engineer, you'll design and maintain data platforms, develop data pipelines, collaborate with teams, and ensure data quality for diverse stakeholders.

As a Data Engineer, you will design and maintain data pipelines, transform raw sources into clean, reliable data streams and tackle technical challenges.

The Senior Data Engineer will maintain ChowNow's data platform, enhance data pipelines, work with data scientists, and improve data quality and accessibility, contributing to executive decision-making and business growth.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

The Data Engineer will manage data ingestion in Salesforce, standardize lead data, ensure data quality, and optimize integration workflows.

As a Data Engineer at Thatch, you'll develop data infrastructure, build ELT pipelines, and collaborate across teams to provide analytics insights.

The Data Engineer will build scalable privacy-centric data frameworks, engineer data pipelines, and ensure compliance with privacy regulations at Netflix.

The Data Engineer will architect and expand data products for Netflix's Ads business, developing data pipelines, collaborating with analysts, and ensuring data quality.

The Data Engineer will develop, maintain, and optimize data integration pipelines, ensuring data accuracy and reliability for informed decision-making.