Data Engineer

Redhorse Corporation • Chantilly, VA

1d

About The Position

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. Redhorse transforms the way government uses data and technology. To support this mission, we are seeking a Data Engineer to serve as a foundational architect of our data ecosystems. In this role, you will design, build, and maintain the scalable data pipelines that turn raw information into actionable intelligence for our federal partners. By ensuring data reliability and performance, you directly enable high-level decision-making that impacts national security and government efficiency.

Requirements

• Active TS/SCI with Polygraph
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
• 3+ years of experience in data engineering or similar role
• Strong experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server, Oracle)
• Proficiency in SQL and database design
• Experience with at least one cloud platform (Oracle, AWS, Azure, or Google Cloud)
• Hands-on experience building data pipelines using tools like Apache Airflow, Spark, or similar
• Programming experience in Python, Java, or Scala

Nice To Haves

• Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)
• Familiarity with big data technologies (e.g., Hadoop, Kafka)
• Knowledge of containerization and orchestration (Docker, Kubernetes)
• Experience with CI/CD pipelines and DevOps practices
• Understanding of data modeling techniques

Responsibilities

• Design, develop, and maintain robust ETL/ELT data pipelines
• Build and optimize data architectures in cloud environments
• Develop and manage relational database systems for performance and reliability
• Collaborate with data analysts, data scientists, and software engineers to deliver clean, usable datasets
• Ensure data quality, integrity, and governance across systems
• Monitor and troubleshoot data workflows and pipeline performance
• Implement best practices for data security and compliance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees