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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** CALIBRE Systems Inc. - **Location:** Arlington, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Data Analysis, Automation of Tests, Cloud Computing, Configuration Management, Software Documentation, Cyber Security, Continuous Delivery, Continuous Integration, Data Dictionary, Information Engineering, Data Files, Data Governance, Data Infrastructure, Data Transformation, Data Structures, Decision Support Systems, Python (Programming Language), Machine Learning, Metadata, Object-Oriented Software Development, Systems Development Life Cycle, Power BI, Requirements Management, Server Administration, Software Engineering, SQL Databases, Tableau (Software), Unstructured Data, Data Processing, Scripting, Feature Engineering, Apache Spark, Technical Debt, Git, SC Clearance, Data Lakes, Pyspark, Information Technology, Performance Monitor, Qlikview, Low-code, Data Management, Software Version Control, Data Pipelines, Devsecops, Databricks - **Published:** September 23, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-engineer-arlington-va--5098e2ac-22f7-4be6-b0f5-7983c41874b7 ## About the Role * Demonstrated proficiency in Python and SQL for data transformation, analysis, automation, and testing. * Experience with Apache Spark or PySpark and distributed-data processing concepts. * Ability to translate ambiguous mission or business questions into implementable data and analytic requirements. * Working knowledge of data governance, data quality, metadata, lineage, role-based access, and responsible use of analytical models. * Strong written and verbal communication skills, including the ability to explain analytical results and limitations to decision-makers. * Ability to work effectively in a cross-functional Agile team. * Direct experience developing in Army Vantage/Palantir Foundry, including data transformations, pipeline orchestration, object/ontology modeling, Workshop or application development, and operational dashboards. * Experience supporting WDP or a DoW/Service enterprise data environment. * Experience with machine-learning lifecycle practices: feature engineering, validation, deployment, monitoring, drift detection, and retraining. * Experience with cloud data services, Databricks, Delta Lake, notebooks, APIs, Git-based version control, and CI/CD or DevSecOps practices. * Experience with readiness, sustainment, logistics, financial management, acquisition, force management, personnel, or other large-scale DoW business and mission data. * Experience building low-code/no-code workflows that embed analytics into operational processes. * Relevant platform or cloud certifications, if applicable to the contract. required Experience * Bachelor's degree in data science, computer science, statistics, mathematics, operations research, engineering, economics, or a related quantitative field; equivalent relevant experience may be considered consistent with contract requirements. * 5+ years of progressively responsible experience in data science, analytics engineering, data engineering, operations research, or comparable analytical work. * Demonstrated experience developing data pipelines, analytical datasets, dashboards, and decision-support products in an enterprise environment. * Experience working in Army Vantage/Palantir Foundry, WDP, or a comparable governed enterprise data platform. * Advanced degree in related technical or quantitative discipline. * Active Secret clearance required. Skills: Acquisitions Management, Agile Programming Methodologies, Analysis Skills, Apache Spark, Application Programming Interface (API), Building Codes, Cloud Computing, Communication Skills, Comparative Analysis, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Analysis, Data Management, Data Modeling, Data Processing, Data Quality, Data Science, Data Sets, Debt Management, Decision Support, Economics, Financial Management, Forecasting, Git, Logistics Management, Machine Learning, Mathematics, Metadata, Object Modeling, Ontology, Operational Audit, Operations Processes, Operations Research, Performance Analysis, Performance Modeling, Power BI, Presentation/Verbal Skills, Product Support, Python Programming/Scripting Language, Qlik, Quality Management, Reporting Dashboards, Requirements Management, SQL (Structured Query Language), Scalable System Development, Secret Clearance, Software Administration, Software Development, Source Code/Configuration Management (SCM), Statistics, Structured Data, Tableau, Technical Leadership, Technical Writing, Test Automation, Unstructured Data, User Documentation, Validation Documentation, Validation Testing, Workflow Analysis, Writing Skills ## Description CALIBRE is an employee-owned mission focused solutions and digital transformation company. CALIBRE is seeking an experienced Data Engineer to develop production-ready data products, analytics, and decision-support applications using Army Vantage and Department of War (DoW) War Data Platform (WDP) capabilities. The incumbent will translate mission and business questions into governed data pipelines, analytical models, semantic data structures, dashboards, and workflow applications that enable timely, trusted decisions. This is a hands-on delivery role. The successful candidate will work with mission owners, data stewards, engineers, analysts, and platform teams to integrate authoritative data; improve data quality; build reusable analytics; and transition solutions into sustained operations., * Partner with functional stakeholders to define decision problems, success measures, data requirements, and minimum viable analytic products. * Ingest, profile, clean, transform, and integrate structured and unstructured data from authorized enterprise and legacy sources. * Build and maintain scalable data pipelines, curated datasets, and reusable analytical data products using Python, SQL, PySpark/Spark, and platform-native capabilities. * Develop and maintain Vantage/Foundry data models, ontology-aligned objects, transformations, workflows, dashboards, and user-facing applications. * Design mission-appropriate analytical methods, including forecasting, anomaly detection, optimization, or classification when supported by data quality and operational need. * Develop clear visualizations, dashboards, and executive-ready readouts using Vantage/Foundry tools and as required, Power BI, Tableau, Qlik, or comparable approved tools. * Implement data-quality checks, lineage documentation, validation tests, model-performance monitoring, and reproducible analytic workflows. * Apply platform, data-governance, cybersecurity, access-control, and release requirements; coordinate with data owners and stewards to ensure proper use of authoritative data. * Use Agile delivery practices: refine requirements, estimate work, demonstrate increments, document solutions, and manage technical debt. * Train end users and analysts; create concise technical documentation, data dictionaries, user guides, and sustainment handoffs. * Communicate findings, limitations, assumptions, and recommended actions clearly to both technical teams and senior nontechnical stakeholders. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [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) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## 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) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Best Coding Boot Camps in Germany](https://www.wearedevelopers.com/magazine/237-best-coding-boot-camps-in-germany)