Data Engineer

 A qualified candidate is responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams while acting in the role of a subject matter expert. The candidate will have extensive experience supporting software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. Must be self-directed and comfortable supporting the data needs of multiple teams, systems and products, to optimize or even re-design the company’s data architecture to support the next generation of products and data initiatives.

 

Clearance: Interim Secret, minimum

Onsite Requirements: 3 days onsite, 2 days remote

 

Key Responsibilities

Create data tools for analytics and data scientist team members that assist them in building and optimizing the product into an innovative industry leader. Create and maintain optimal data pipeline architecture. Assemble large, complex datasets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS/Azure ‘big data’ technologies. Work with data and analytics experts to strive for greater functionality in the data systems.