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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist / Data Engineer - **Company:** JTEC Consulting - **Location:** McLean, VA, United States - **Experience:** Expert - **Salary:** $160,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Cloud Computing Security, Computer Programming, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Mining, Data Visualization, DevOps, Distributed Systems, Text Processing, Graph Database, Apache Hadoop, Intelligence Analysis, Python (Programming Language), Machine Learning, Open Source Technology, Software Engineering, SQL Databases, Cloud Platform System, Apache Spark, Data Strategy, Containerization, Pyspark, Semi-structured Data, Kubernetes, Information Technology, Data Analytics, Software Coding, Data Pipelines, Docker - **Published:** August 30, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9129119/data-scientist-data-engineer ## About the Role * Bachelor's degree in Bachelor's degree in Data Science, Data Analytics, Computer Science, Statistics, Operations Research, or a related technical discipline. * 5+ years of hands-on technical experience supporting data analytics or data engineering projects within the Intelligence Community (IC). * Programming & Tools: Demonstrated hands-on coding proficiency in Python and big data frameworks (e.g., Apache Hadoop, Apache Spark/PySpark, SQL). * Technical Breadth: Applied experience in machine learning algorithms, cloud platforms (AWS/Azure), and data visualization software. * Communication: Strong technical writing and verbal communication skills with a track record of collaborating across mission teams. Preferred Skills: * Experience deploying data models within DevOps or CI/CD frameworks. * Experience handling unstructured text processing, NLP, or graph databases. * Familiarity with containerized deployments (Docker, Kubernetes). ## Description JTEC Consulting is actively hiring Data Scientists, Data Engineers, and Data Analysts to support critical mission requirements for an Intelligence Community (IC) customer in Northern Virginia. In this role, you will work alongside a high-performing, multi-disciplinary team solving complex data challenges using open-source tools, cloud environments, and advanced analytics. We have multiple open task orders supporting mission-critical activities across data engineering, machine learning, data strategy, and software engineering in fast-paced DevOps environments. General duties and responsibilities vary by role and may include: * Data Pipelines & Engineering: Architect, build, and maintain scalable ETL/ELT pipelines for complex, multi-source structured and unstructured data sets. * Advanced Analytics & ML: Perform data mining, exploratory data analysis, and statistical modeling using machine learning techniques to extract actionable insights. * Cloud & Database Management: Support data-centric solutions, big data analytics, and data modeling in secure cloud computing and distributed systems. * Visualization & Reporting: Translate complex data insights into clear, actionable intelligence using data visualization tools and analytical frameworks. * Cross-Functional Collaboration: Partner directly with mission stakeholders, data engineers, and intelligence analysts in an integrated team environment. General education and qualification guidelines include: * U.S. citizenship * Current TS/SCI security clearance with polygraph * Local to Wash DC Metro area and available to support on-site work 5 days/week (Northern Virginia locations) ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [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) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [How Many Jobs Are Available in Technology?](https://www.wearedevelopers.com/magazine/450-how-many-jobs-are-available-in-technology) - [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)