Data Engineer

ECS is seeking a passionate and driven Data Engineer to support DHS' Data Services Branch, under the Office of Chief Information Officer, that provides innovative and complex data analytics services and platforms to users. The Data Engineer will support our Federal customers with the tools and capabilities needed to turn data into actionable insights. In this role, you will be integral to data operations for the development and integration of multiple data types across a range of data sets and sources. You will be responsible for the day-to-day operations of systems that depend on data, ensuring data is properly processed and securely transferred to its appropriate location in a timely manner. Processing data will include managing, manipulating, storing, and parsing data in a data pipeline for a variety of target sources.

Other tasks will include:

• Completing development efforts across data pipeline to store, manage, store, and provision to data consumers
• Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices
• Writing code to ensure the performance and reliability of data extraction and processing
• Supporting continuous process automation for data ingest
• Achieving technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing
• Working with program management and engineers to implement and document complex and evolving requirements
• Helping to cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork
• Collaborating with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists

Salary Range: $130,000 - $140,000

• Must be a US Citizen
• Must be able to obtain a Public Trust Clearance
• Bachelor's Degree
• 7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models.
• Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats
• Proficiency developing ETL processes, and performing test and validation steps
• 7+ years' experience and knowledge of coding language Python and SQL to extract data from various relational databases, application systems, flat files, and load them into data warehouses.
• Hands-on experience with cloud-based relational and non-relational databases such as, PostgreSQL
• Strong understanding of the agile principles and ability to apply them
• Strong understanding of the CI/CD pipelines and ability to apply them
• Work comfortably in version control systems, such as, Git Repositories