Top Data Engineer Jobs in Chicago, IL

Lead the development of data management tools by collaborating across Agile teams, utilizing cloud technologies, and mentoring engineers to support large-scale applications in a remote environment.

The Senior DataOps Engineer will design, implement, and optimize cloud data operations pipelines, ensure seamless analytics service integration, and mentor junior engineers.

The Senior Data Engineer will design and maintain data pipelines, ensure data quality, collaborate with teams, and optimize ETL processes.

The Staff Data Engineer will design and optimize data infrastructure, support multiple teams, and ensure data quality and integrity across projects.

As a Senior Data Engineer, you will manage data infrastructure, build ETL pipelines, and improve data models while collaborating with analysts.

As a Senior Data Engineer, you will develop and maintain ETL pipelines, design scalable systems, troubleshoot production issues, and mentor team members while ensuring best practices are followed.

The Principal Data Engineer will lead a Data Engineering team to implement modern data platforms, drive business value, and ensure quality deliverables. The role involves design, development, testing, documentation, and mentoring staff while improving systems and processes.

Lead technical implementation of cloud-based data solutions, mentor junior engineers, and establish technical standards for client engagements.

As a Data Engineer at Sporty, you will design and maintain data pipelines, ensure data quality, and work on data applications and architectures for machine learning initiatives.

Develop and implement analytics infrastructure and data pipelines, create dashboards, integrate systems, maintain cloud infrastructure, and coordinate projects.

The role involves designing and building platforms for new products, developing AI features, ensuring system reliability, and fostering an inclusive culture. Requires full-stack experience and a commitment to improving healthcare.

As a Data Engineer, you will build data pipelines, architect data models, and deliver reporting practices to support decision making and business analytics.

As a Support Data Engineer II, you will help resolve database application issues, manage alerts, and ensure performance in a 24/7 Linux environment.

As a Data Engineer, collaborate to create data-driven solutions for financial institutions, leveraging AWS and Python to handle data tasks from integration to delivery.

The Big Data Engineer will architect, design, and implement advanced analytics capabilities including batch and streaming analytics, machine learning models, and data platforms using Azure stack. Responsibilities also include building data ingestion pipelines and harmonizing raw data.

As a Staff Data Engineer, you will design and optimize data pipelines, enhance ingestion architectures, and collaborate with enterprise customers and platform teams.

The Data Engineer will design, implement, and maintain data infrastructure and pipelines, collaborating with cross-functional teams to ensure data integrity and accessibility.