Senior ETL Engineer

ETL Engineer

GDIT is seeking an ETL Engineer to support the National Institute of Health (NIH), National Heart Lung and Blood Institute (NHLBI) custom software portfolio. The ETL Engineer will deliver innovative solutions to collect, collate, and transform disparate data sources into cohesive data solutions to drive end-user and administrative decision-making by creating and maintaining ETL pipelines. The ETL Engineer will collaborate with other developers and teams responsible for both the data sources and for those building applications leveraging the data solutions.

This individual will have a strong understanding of industry trends and using Agile methodologies for development and deployment processes and can propose and advocate for improvements to the codebase. You will provide team and developer guidance to improve overall productivity.

Working across the software life cycle, with an emphasis on design and development. Systems may include scientific applications that search for data in large datasets which include biological, genomic and/or proteomic data.

Contributing to all parts of the application and testing stack.

Working collaboratively with the team to best realize system requirements, and when appropriate, providing custom implementations to create a compelling experience for system users.

Facilitating and explaining high-leverage decisions about architecture and software development.

Supporting a development team's activities for writing clean, maintainable, testable, and extensible code.

Contributing to all aspects of the Software Development Lifecycle (e.g. Requirements, Design, Development, and Testing)

Collaborating with the team on Agile activities, including estimation, iterative planning and retrospectives.

Managing code and other artifacts using Git Hub.

Bachelor's Degree (or equivalent) in Computer Science, Information Systems/Technology, Engineering/Engineering Technology or related field.

5+ years of relevant experience.

Experience using SQL for ETL scripts.

Experience leveraging Azure cloud services and with Azure DB as a service (Cosmos, SQL Server).

Experience leveraging Azure Data Factory or similar technology.

Experience leveraging Azure Functions or similar technology.

Experience with Jenkins or Git Hub Actions (CI/CD).

Experience working with and improving existing code bases.

Experience working in an Agile software development environment.

Prior experience with the NHLBI Bio Data Catalyst environment; active NIH badge is a plus

Experience developing scientific systems that search for data in large datasets which include biological, genomic and/or proteomic data.

Experience using Java and JavaScript.

Ability to obtain and maintain a NIH's Public Trust.

401K with company match.

Customizable health benefits packages.

Internal mobility team dedicated to helping you own your career.

Challenging work that makes a real impact on the world around you.

Full-flex work week.