Top Hybrid Data Engineering Jobs

The Data Engineer will design and maintain ETL/ELT pipelines, optimize data processing jobs, and ensure data quality and availability.

The Database Developer will create database system solutions, develop scripts and reports, ensure data quality, and support data warehousing needs in alignment with business objectives.

As a Senior Data Engineer, you will build and maintain data infrastructure, enabling product teams with data-driven insights and solutions.

As a Data Solutions Engineer, you'll manage customer data migrations and GIS onboarding from legacy systems, ensuring data quality and accuracy while interfacing with government staff.

As a Data Engineer, you will design and build scalable data pipelines and models, maintain data governance, and collaborate with AI engineers while ensuring data quality and compliance.

The Senior Data Engineer will design and maintain scalable data systems for maritime and defense applications, ensuring secure and resilient operations while collaborating with technical teams.

In this role, the Senior Data Engineer designs and implements data architecture for analytics and ML initiatives, develops ETL/ELT pipelines, and ensures data quality and compliance, while mentoring junior team members.

The Senior Data Engineer will develop the data platform, support customers with technical work, and optimize data performance using SQL and Snowflake. They will also collaborate with teams and may need to attain security clearance.

As a Data Architect, lead teams in modern data architecture and engineering, develop data pipelines, mentor juniors, and engage in client communication to enhance business solutions.

The Head of Data will shape the data architecture, manage data infrastructure, and facilitate insights through self-serve analytics while collaborating with AI teams.