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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** FWI (FedWriters, Inc.) - **Location:** Arlington, VA, United States - **Experience:** Experienced - **Salary:** $105,000.0 - $115,000.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Data Analysis, Big Data, Data Auditing, Data Cleansing, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Database Design, JSON, Python (Programming Language), Machine Learning, Standard Sql, Scala (Programming Language), SQL Databases, Jupyter Notebook, Data Processing, Apache Spark, Generative AI, SC Clearance, Data Pipelines, Databricks - **Published:** September 14, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9160810/data-engineer ## About the Role * 3-10 years of directly related experience and a B.A./B.S. or M.A./M.S. in a related field * 3+ years of experience as a Data Engineer * Proficiency in ETL processes and firsthand experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks * Experience working with large datasets and leveraging big data technologies to process and analyze data efficiently * Understanding of data modeling/visualization, database design principles, and data governance practices * Must possess an active Secret clearance at minimum Preferred Qualifications: * Experience with the DoW mission and associated datasets * Previous experience with Advana or the War Data Platform * Experience with APIs * Experience with Machine Learning models and/or Generative AI * Experience building within Palantir Foundry applications, including Workshop, Ontology Manager, and Gaia ## Description Ready to build data infrastructure that actually matters to national defense? As FWI's Data Engineer on the DA2I program, you'll architect end-to-end pipelines using Databricks, Spark, and Palantir Foundry that power decision-making for the National Guard's Minuteman Community Space. If you want your ETL and big-data skills to support a real DoW mission, not just another dashboard, this is the seat. FWI is building a team to support the National Guard Bureau's (NGB) Minuteman Community Space and asa Data Engineer, you will play a crucial role in designing, developing, and maintaining the Minuteman Community Space's data infrastructure and systems, using ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, and SQL to ensure efficient data processing and analysis. Work Schedule and Location: This full-time position will work Monday through Friday, in Arlington, VA., * Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, and SQL * Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures * Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing * Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets * Leverage big data technologies to efficiently process and analyze large datasets * Collaborate with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision-making processes * Troubleshoot data-related problems and provide innovative solutions to address complex data challenges * Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [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) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)