Data Engineer

About the Organization
Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets.

About the Role
Redhorse is transforming how the Department of Defense (DoD) utilizes data and technology. We are seeking a highly skilled Data Engineer to join our team supporting the Under Secretary of Defense for Acquisition & Sustainment (OUSD(A&S)). You will play a critical role in advancing data-driven decision-making across the DoD, designing and implementing robust data solutions that directly impact national security initiatives and investments. This is a high-impact position offering significant opportunity to shape the future of DoD data management and analytics.

The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable.

Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at [email protected]

Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs. This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.

• Support the configuration and ingestion of structured, unstructured, and semi-structured data repositories into capabilities meeting mission partner requirements, supporting a data analytics and DevOps pipeline for rapid delivery of functionality.

• Maintain all operational aspects of data transfers, accounting for the security posture of the underlying infrastructure and supported systems and applications; monitor environmental health using various tracking capabilities.

• Automate configuration management, leverage appropriate tools, and stay current on ETL technologies and services.

• Work under general guidance, demonstrating initiative to develop solutions independently; review architecture and identify areas for automation, optimization, right-sizing, and cost reduction to improve environmental health.

• Apply comprehension of data engineering technologies and services, leveraging database expertise and various data structuring and retrieval approaches; comprehend cloud architectural constructs and support programmatic Cloud environment establishment and maintenance using vendor consoles.

• Engage with multiple functional groups to understand client challenges, prototype new ideas and technologies, create solutions to drive innovation, and design, implement, schedule, test, and deploy full features and components of solutions.

• Identify and implement scalable and efficient coding solutions.

• Apply DoD Security Technical Implementation Guides (STIGs) and automate that process.
• Bachelor’s degree plus 7+ years of experience, or a Master’s degree plus 5+ years of experience.

• Experience with big data systems, including Apache Spark and Databricks.

• Experience with ETL processes.

• Experience with the Advana Data Environment.

• Experience with Amazon Web Services (AWS), Microsoft Azure, or MilCloud 2.0.

• Experience engineering data pipelines across multiple security domains/classified networks.

• Experience with multiple coding languages.

• Active Secret security clearance. Top Secret (TS) with Sensitive Compartmented Information (SCI) eligibility is highly desired.