Top Data Engineer Jobs in Chicago, IL

The Google Cloud Data Engineer will design and implement data architecture strategies, develop and maintain data pipelines, and ensure data security and governance. The role involves collaborating with stakeholders, mentoring team members, and managing project execution. Expertise in Google Cloud services and data integration tools is essential to deliver data solutions that enable informed decision-making for clients.

As a Lead Data Engineer at Capital One, you will design, develop, test, and implement technical solutions, collaborate with Agile teams, utilize various programming languages and cloud services, and mentor engineering team members while driving cloud-based data solutions to enhance customer experiences.

As a Data Engineer at EDGE, you will work with data scientists and platform engineers to develop high-performance data analysis services, design data pipelines, and optimize workflows while managing multiple projects in a fast-paced environment.

The Data Engineer II will enhance Vibes' marketing and aggregation platforms by building and optimizing ETL processes, improving data pipelines, and creating interfaces for data science services. This role involves collaborating across teams to support scalable data analytics in a cloud-based environment.

As a Senior Data Engineer, you will develop and manage modern data pipelines to integrate data from various sources for analytics. Responsibilities include researching tools, designing scalable solutions, focusing on data integrity, and ensuring robust availability while collaborating with the team.

The Senior Data Engineer will collaborate with traders to enhance trading performance by designing and maintaining data architecture, ensuring data quality, and establishing data standards. Responsibilities include implementing ETL pipelines, architecting data warehouses, and creating analytical solutions using high-performance trading software.

As a Lead Data Engineer at Capital One, you will lead the development of data strategies, design scalable conversion solutions, and ensure data integrity while collaborating within Agile teams. You'll utilize technologies like Spark, Scala, and AWS to build robust cloud-based solutions that enhance customer experiences.

The Senior Data Engineer will design, develop, test, and implement technical solutions leveraging big data technologies. The role involves collaborating with Agile teams, applying machine learning, and utilizing cloud-based data warehousing to enhance financial experiences for users. Responsibilities include performing code reviews, unit tests, and mentoring team members.

As a Senior DataOps Engineer, you will design and maintain cloud-based data operations pipelines, implement CI/CD practices, collaborate with various teams to optimize data processes, and automate infrastructure management. You will also mentor junior engineers and integrate new cloud tools to enhance operational efficiency.

As a Data Migration Engineer, you will develop and execute data migration projects, including data extractions, mapping, and cleanup. You'll manage multiple projects, collaborate with various teams, and ensure data quality while utilizing VB.NET, SQL, and other technologies to facilitate smooth transitions to target systems.

As a Staff Data Engineer, you will build and maintain large-scale commerce data pipelines and lead the development of data models and integrations while ensuring data quality and governance. Your role involves collaborating with various teams to design a data architecture that aligns with business goals.

As a Lead Data Engineer at Capital One, you will build and enhance data solutions using technologies like Python, Scala, and Spark. You will lead the migration of batch workloads, support technical solutions, and collaborate within Agile teams. Your role involves utilizing AWS services and mentoring other team members while ensuring high performance of the data infrastructure.

You will collaborate with Agile teams to design and implement technical solutions, leveraging programming languages and cloud services. Responsibilities include developing machine learning and microservices applications, delivering cloud-based solutions, performing unit tests, and mentoring team members.

As a Lead Data Engineer at Capital One, you'll collaborate with Agile teams to design and implement full-stack technical solutions, leverage big data technologies, and ensure high-quality coding practices while mentoring peers and contributing to business problem-solving.

The Sr. Data Engineer at CNA will design, develop, and integrate large-scale data processing systems on Google Cloud Platform. This role includes building data pipelines, ensuring data integrity, and applying machine learning, while working in an Agile environment to meet business requirements.

The Staff Data Engineer will enhance data delivery architecture, optimize data processes, and support product development initiatives by leveraging and improving data infrastructures and workflows. The role involves collaboration with multiple departments, mentoring team members, and focusing on the quality and integrity of data solutions.

The Senior Data Engineer will implement data ingestion and transformation pipelines, design scalable ETL processes, and support data platforms. The job involves working with various data formats and technologies, providing technical guidance, and collaborating with cross-functional teams to solve complex business and technical challenges.