Mid Level Data Engineer

Redhorse Corporation • Arlington, VA

6d • $145,000 - $165,000

About The Position

Redhorse is transforming how the Department of Defense (DoD) utilizes data and technology. We are seeking a proactive Mid-Level Data Engineer to join our team supporting the Office of the Under Secretary of Defense for Acquisition & Sustainment (OUSD(A&S)). In this role, you will play a key part in advancing data-driven decision-making across the DoD by developing and optimizing robust data pipelines and analytics solutions that support critical national security initiatives. This position offers exceptional visibility and hands-on growth working within enterprise defense data environments.

Requirements

• Active Secret security clearance.
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related STEM field with 3+ years of data engineering experience (or Master’s degree with 2+ years of experience).
• Demonstrated experience developing ETL/ELT pipelines and processing large-scale data using big data frameworks such as Apache Spark.
• Practical experience working within cloud environments (e.g., AWS, Microsoft Azure, or MilCloud 2.0).
• Proficiency in core data engineering programming and querying languages (e.g., Python, SQL, or Scala).
• Familiarity with database architectures, data modeling, and automated configuration management.
• Familiarity with applying and maintaining DoD Security Technical Implementation Guides (STIGs).

Nice To Haves

• Hands-on experience developing data workflows using Databricks (e.g., Delta Lake, Lakehouse architecture, PySpark).
• Experience integrating data pipelines with business intelligence and data visualization platforms, particularly Qlik (Qlik Sense or QlikView).
• Experience working within the DoD Advana Data Environment.
• Familiarity with deploying and engineering data pipelines across classified networks and multiple security domains.
• Experience with CI/CD tools and version control systems such as GitLab, Jira, or Jenkins.
• Active Top Secret (TS) clearance with Sensitive Compartmented Information (SCI) eligibility.

Responsibilities

• Ingest, configure, and transform structured, semi-structured, and unstructured datasets to meet mission partner and stakeholder requirements.
• Build, automate, and maintain scalable ETL/ELT pipelines supporting DevOps and rapid analytics delivery.
• Maintain data pipeline operations, monitor environment health, and implement automated performance optimization and cost-reduction practices.
• Work under general guidance to prototype new data capabilities, evaluate emerging technologies, and deploy end-to-end data solutions.
• Collaborate with cross-functional technical teams to troubleshoot pipeline bottlenecks, optimize database structures, and implement secure data retrieval methods.
• Implement and automate DoD Security Technical Implementation Guides (STIGs) across data systems to ensure strict compliance and system security.

Benefits

• Comprehensive benefits programs
• Performance-based or other incentive compensation

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level