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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Redhorse Corporation - **Location:** Arlington, TX, United States - **Experience:** Experienced - **Salary:** $145,000.0 - $165,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, JIRA, Microsoft Azure, Big Data, Cloud Computing, Configuration Management, Cyber Security, Information Systems, Computer Programming, Databases, Continuous Delivery, Continuous Integration, Data Architecture, Information Engineering, Data Files, Data Integration, Extract Transform Load (ETL), Data Recovery, Data Security, Data Systems, Data Visualization, Database Storage Structures, DevOps, Python (Programming Language), Network Security, Performance Tuning, SQL Databases, Unstructured Data, Qliksense, Scripting, Cloud Platform System, Database Optimization, Apache Spark, Gitlab, SC Clearance, Data Lakes, Pyspark, Core Data, Information Technology, Qlikview, Data Management, Software Version Control, Data Pipelines, Jenkins, Databricks - **Published:** September 5, 2026 - **Apply:** https://www.careerbuilder.com/job-details/mid-level-data-engineer-arlington-va--710fca05-41ff-4f14-9675-15a0a58bd387 ## About the Role * 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)., * 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., Administrative Skills, Amazon Web Services (AWS), Apache Spark, Artificial Intelligence (AI), Atlassian JIRA, Big Data, Business Intelligence, Cloud Computing, Compensation Management, Computer Science, Computer Security, Configuration Management, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Cross-Functional, Customer Support/Service, Data Analysis, Data Management, Data Modeling, Data Recovery, Data Sets, Data Visualization, Database Architecture, Database Extract Transform and Load (ETL), Database Optimization, DevOps, Emerging Technology, Engineering, Environmental Health, Environmental Monitoring, Identify Issues, Information Technology & Information Systems, Information/Data Security (InfoSec), Jenkins, Maintain Compliance, Microsoft Windows Azure, Network Security, Performance Tuning/Optimization, Prototyping, Python Programming/Scripting Language, Qlik, SQL (Structured Query Language), Sales Pipeline, Scala Programming Language, Secret Clearance, Security Clearance, Security Compliance, Source Code/Configuration Management (SCM), United States Department of Defense (DoD) ## Description 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., * 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. ## Related Videos - [WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More](https://www.wearedevelopers.com/videos/1805-wearedevelopers-live-modern-devops-for-iot-devices-and-more) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Are Code Reviews Worth It? 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