Top Data Engineer Jobs in Chicago, IL

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

Lead the evolution of SimplePractice's data stack, building scalable systems for analytics, reporting, and product insights in a fast-paced environment.

The Senior Data Engineer will develop and maintain data pipelines, collaborate with Analysts, and ensure high code and data quality on the Hungryroot Analytics model.

Lead design and delivery of data solutions in Adobe Experience Platform, optimize data models, mentor junior engineers, and drive strategy.

The Data Engineer will design, develop, and optimize large scale data pipelines and ensure effective data delivery for cross-functional teams.

As a Data Engineer, you will design data storage systems, build ETL pipelines, optimize data reliability, and collaborate across teams, leveraging modern technologies for data management and processing.

As a Data Engineer, build efficient data processing systems, model data to support analytics, and collaborate with teams to enhance Netflix's data-driven culture.

The Freelance Data Engineer will analyze data, design databases, manage data operations, and collaborate on data-driven projects to optimize data infrastructure.

Seeking an experienced Data Engineer to design and optimize data infrastructure, build scalable pipelines, and ensure data quality and governance.

Lead the design and development of scalable data solutions, improve Ad Relevancy, and mentor junior engineers in a collaborative environment.

Design and maintain scalable data pipelines, collaborate with cross-functional teams, manage data architectures, optimize Snowflake performance, and enhance data workflows.

Design, develop, and manage data infrastructure for internal and client projects, focusing on large-scale data pipelines, APIs, and cloud deployments.

As a Software Engineer on the Data Engineering team, you'll develop and maintain systems for managing data, build pipelines and mentor junior engineers while collaborating across departments.

Design and optimize data pipelines, work with structured/unstructured data, ensure data quality for analytics, and collaborate with data scientists.

The Data Engineer will design and maintain ETL pipelines and data storage solutions, collaborating with cross-functional teams to ensure efficient data processing and delivery.

The Staff Data Engineer will architect and operate the Databricks lakehouse, managing data ingestion, governance, and analytics collaboration with cross-functional teams.

Design, build, and maintain scalable data infrastructure in the cloud using AWS services and Infrastructure as Code to ensure data reliability and performance.

The Data Platform Operations Engineer will automate and operate the Enterprise Data Platform ensuring reliability and performance while managing Snowflake and Fivetran resources.

The intern will assist the Data Operations team in optimizing data workflows, developing automation scripts, and maintaining data systems while gaining hands-on experience.

As a Data Engineer, you will build and optimize data pipelines, manage ETL workflows, and ensure efficient data access and quality within the infrastructure.

Design and deploy data processing pipelines, analyze data to extract insights, and develop software systems for data management and privacy.

The Data Engineer will build ETL pipelines and data infrastructure, ensure data quality, and implement modern data warehousing for analytics improvements, while collaborating with stakeholders across teams.

The Data Architect designs data flows, defines standards, ensures data quality, and collaborates on data strategies while integrating advanced technologies.

Analyze and develop data solutions, lead projects, translate business requirements, provide support for ETL processes, and mentor junior team members.

The Data & Analytics Engineer will model and serve data, improve architecture, and collaborate with teams to sustain the data strategy, requiring 5+ years of experience.