Top Senior 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 Senior Data Engineer at Unchained will design and implement data pipelines, integrate APIs, ensure data governance, and mentor team members while focusing on accuracy and security.

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

The Data Engineer will develop and optimize data pipelines, manage data architecture, support cross-functional teams, and ensure data security and integrity.

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

Design and maintain data pipelines, collaborate with teams for data requirements, and optimize data processes using tools like Snowflake and Informatica.

Design and implement ETL/ELT data pipelines, optimize performance, ensure data quality, and collaborate with data teams to create solutions for analytics.

The Senior Quantitative Data Engineer will build and maintain scalable data pipelines for quantitative investment research, ensuring data integrity and compliance, while collaborating with various teams for data architecture and product strategy.

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

Responsible for implementing AI data pipelines, developing AI-driven systems, and ensuring the reliability and scalability of data solutions while mentoring junior team members and collaborating with cross-functional teams.

The Senior Data Engineer will manage data tuning on relational databases, utilize Big Data technologies, and coordinate with technical teams and business users.

The Senior Data Engineer will work with data tuning on relational databases, utilize big data technologies, and coordinate with teams. A strong academic background and experience with large datasets are required.

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

The Senior Data Engineer will design, develop, and support data solutions, working with extensive cloud and data technologies while collaborating with Agile teams.

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.

The Senior Data Engineer will design and maintain data warehouse infrastructure, develop ELT pipelines, ensure data security, and lead analytics collaborations.

The Senior Data Engineer designs and maintains data pipelines and structures, implements Adobe tools, validates data accuracy, and collaborates with teams for data-driven insights.

The Data Engineer at Netflix builds systems for efficient data processing and modeling, collaborating with various teams to empower analytical insights and product features.

The Sr Data Engineer will lead the Ceded Reinsurance Integration Initiative, develop scalable data pipelines, mentor junior engineers, and consult with cross-functional teams while utilizing Agile practices.

The Senior Data Engineer will design and build scalable data pipelines and models, ensuring data quality and optimizing data infrastructure using AWS and Snowflake. Responsibilities include leading projects, integrating APIs, and collaborating across teams to enhance data products for value-based care.

As a Senior Data Engineer, you will build and maintain data pipelines for analytics, collaborating with teams to implement data models and ensure data quality.

As a Senior Data Engineer, you will design and build data products, establish best practices, and lead technical initiatives in data architecture and workflows within the single-family rental industry.

The Senior Data Engineer will develop data pipelines for predictive modeling, collaborate with teams, manage data assets, and apply AI solutions in an insurance context.

Lead the design of DataOps platforms, focusing on scalable data infrastructures and automation frameworks. Oversee robust data orchestration and establish quality frameworks.

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