Top Data Engineer Jobs

The Senior Databricks Data Engineer will manage client engagements, deliver ETL solutions, and improve data processing. Responsibilities include project planning, pipeline design, and collaboration with team members.

The AWS Cloud Data Engineer will design, develop, and enhance AWS data environments, build scalable Data Lake solutions, and lead proofs-of-concepts into production.

This role offers training for aspiring Data Engineers, focusing on technology of choice, interview preparation, and skill enhancement with guidance on OPT STEM extension.

The Data Engineer II will construct high-quality datasets, implement changes to data systems, write complex SQL scripts, and collaborate with stakeholders to optimize data solutions.

The Junior Data Engineer will develop data processing capabilities using Python, SQL, and Snowflake to support financial modeling and analytics within the bank.

The Data Analytics Engineer will manage data integration, create dashboards, analyze healthcare data, and support decision-making in a collaborative environment.

As a Senior Lead Data Engineer, you will design and develop technical solutions, lead a team, and drive cloud-based data solutions at Capital One.

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

The Staff Data Engineer will build and scale data pipelines, collaborating across teams to integrate AI technologies and optimize data systems for analytics.

Lead a team of Data Engineers in developing and implementing data solutions. Collaborate with Agile teams and mentor peers in modern data technologies and practices.

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

The job involves leveraging AWS and Snowflake for data engineering tasks within a technology-focused company, requiring US residency.

The Data Engineer will develop, maintain, and optimize data integration pipelines, ensuring data accuracy and reliability for informed decision-making.

The Data Engineer will support NIH operations, managing complex data environments, utilizing SQL, Python, and cloud technologies, with a focus on troubleshooting and team collaboration.

Data Engineers at Endex design and maintain data pipelines for transforming financial data into insights, focusing on data quality and analytics.

Lead the development of AI solutions and data engineering strategies. Implement AI data pipelines, collaborate with teams, and ensure the reliability of data systems.

Lead the development of AI data pipelines, improve data capabilities, integrate AI solutions, mentor team members, and ensure operational efficiency.

The Data Engineer will enhance the enterprise Data Lake by integrating data sources, ensuring data accessibility, and supporting analytical teams through data ingestion, transformation, and governance in both cloud and on-prem environments.

As a Data Engineer, you will develop and manage the data infrastructure that supports HTS Media's advertising business, build ETL/ELT pipelines, and enable data-driven insights for advertisers and internal analytics.

The Analytics Engineer will enhance the People Data Warehouse, model data, partner with stakeholders, and ensure data integrity for decision-making.

The Data Engineer will develop dashboards, manage datasets, conduct data analysis, ensure data quality, and collaborate with stakeholders.

The Data Engineer will design, build, and support data infrastructure. Responsibilities include developing data products and collaborating with stakeholders to meet data needs, ensuring scalable solutions and contributing to a robust data culture.

The Associate Compliance Data Engineer ensures accurate data entry for product information, collaborates with stakeholders, and identifies process improvements while maintaining compliance with regulations.

The Senior Data Engineer will build and optimize data pipelines, ensure data integrity, and collaborate with stakeholders to meet business requirements while implementing best coding practices.

The Associate Data Engineer will modernize data architectures, optimize ETL pipelines, enforce data governance, and ensure data quality to support analytics across the organization.