Data Engineer

Sorry, this job was removed at 08:09 p.m. (CST) on Monday, Jul 14, 2025
Herndon, VA
In-Office
Information Technology
The Role
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 transforms how government uses data and technology. We are seeking a skilled Data Engineer to play a pivotal role in designing, building, and maintaining a cutting-edge cloud-based data environment for a critical intelligence Sponsor. This role is crucial for enabling analysts to access and utilize large datasets to address high-priority intelligence questions. You will be a key contributor to a high-impact mission, directly influencing the Sponsor’s analytical capabilities and decision-making processes.

Key Responsibilities

  • Assist with strategic planning and oversee the implementation of the Sponsor's cloud-based data environment.
  • Develop and maintain ETL (Extract, Transform, Load) processes for efficient data movement and transformation.
  • Design and implement data models and access controls to ensure data integrity and security.
  • Develop code (Python, Bash, etc.), documentation, and data models that adhere to Sponsor standards.
  • Provide systems administration and programming support for ETL processes and data infrastructure.
  • Train and conduct knowledge transfer to team members on ETL processes, the on-premise compute cluster, and administrative duties.
  • Coordinate with external data and platform providers to ensure smooth system functioning and data flows.
  • Support the cross-domain transfer and integration of data.
  • Serve as a technical liaison between engineers, data scientists, analysts, and managers.

Required Experience/Clearance

  • 5+ years of experience as a Data Engineer.
  • Demonstrated experience with AWS cloud services, including long-term storage options, and cloud-based database services (e.g., Databricks or EMR).
  • Proficiency in SQL database structures and mapping between SQL databases.
  • Experience with large-scale data migration efforts.
  • Experience with database architecture, performance design methodologies, and system-tuning recommendations.
  • Proficiency in Python and Bash scripting.
  • Experience implementing CI/CD pipelines using industry-standard processes.
  • TS/SCI with poly required to start

Desired Experience

  • Experience with the Sponsor’s data environment and on-premises compute structure.
  • Experience with Glue, Hive, and Iceberg or similar technologies.
  • Experience with Terraform.
  • Experience with DevSecOps solutions and tools.
  • Experience with Data Quality and Data Governance concepts and experience.
  • Experience maintaining, supporting, and improving the ETL process using Apache NiFi or similar tools.
  • Experience with Apache Spark.

Equal Opportunity Employer/Veterans/Disabled 
 
Accommodations:
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.

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The Company
HQ: Arlington, VA
310 Employees
Year Founded: 2008

What We Do

We want to improve the way government interacts with and uses data and technology. Redhorse combines top-tier consulting experience with a passion for problem-solving to help clients address mission-critical government problems. We roll up our sleeves and stand shoulder-to-shoulder with our clients to understand their issues and find solutions, using digital transformation and artificial intelligence, partnered with our domain expertise in National Security, Networking Technology and Infrastructure, Energy and the Environment.

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