Top Data Engineer Jobs in Chicago, IL

The Senior Data Engineer will manage and transform data pipelines, implement changes in Snowflake, monitor costs, and resolve data issues.

The role involves developing AI applications, building data pipelines, maintaining analytics infrastructure, and collaborating with sales teams to enhance go-to-market strategies using data-driven insights.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

The Senior Data Engineer will focus on ingesting and curating satellite imagery and geospatial data, building data pipelines, and mentoring junior engineers, while ensuring performance and scalability.

As a Staff Data Engineer, you will enhance and modernize data platform infrastructure, manage data processing platforms, and mentor junior engineers.

As a Lead Data Engineer, you'll optimize data workflows, manage data engineering projects, mentor junior engineers, and ensure robust data solutions meet business needs.

As a Senior Data Engineer, you will build data infrastructure, develop CI/CD pipelines, and create entity resolution systems, focusing on large-scale data processing and analytics.

Nagarro seeks an Associate Principal Engineer in Big Data to leverage extensive IT experience for strategic organizational value. The role values self-starters and innovation.

The Staff Engineer - Finance Data Specialist will develop and support a Finance Data Warehouse, collaborating with Finance and Tech teams on data management and analytical solutions.

As a Senior Data Engineer, you'll design, build, and optimize data infrastructure while collaborating with teams to enhance data flow and integration across platforms.

The role involves building and optimizing data pipelines, managing data integration, supporting analytics, and collaborating with cross-functional teams to enable data-driven decisions.

Lead the architecture and development of scalable data pipelines, mentor team members, and align data engineering practices with business objectives in a complex technical environment.

The Senior Data Engineer will develop scalable data pipelines, maintain production datasets, collaborate with teams, and optimize data platform infrastructure.

The Senior Data Engineer develops and maintains data pipelines, collaborates on scalable data solutions, and ensures data security via cloud services.

Design and maintain high-quality data pipelines, develop DBT models, collaborate with analytics and data science teams, and optimize data operations for scalability.

We are looking for a skilled Data Engineer to architect and develop scalable data pipelines, utilizing SQL, Python/Scala, and AWS technologies, ensuring data quality and performance.

The Senior Data Acquisition Engineer will develop web crawling technologies, enhance data quality, and collaborate on data product development.

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.

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.

The Data Analytics Engineer will develop data models, create dashboards, maintain data pipelines, and collaborate with various teams to improve analytics practices.

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.

Lead design and implementation of scalable data infrastructure, build reliable data pipelines, collaborate cross-functionally, and influence data architecture to support analytics and operations.

The Senior Data Engineer is responsible for building a data lake, developing data pipelines, ensuring data quality, collaborating with teams, and managing ETL processes.

The Senior Data & Analytics Engineer will design and maintain data pipelines, develop analytics schemas, build visualizations, and perform deep-dive analyses to drive business decisions.

As a Senior Data Engineer, you will design and maintain data pipelines, collaborate with cross-functional teams, and drive data solutions, while ensuring data quality and optimization.