> Markdown version of [/jobs/ext/231955-data-engineer-advana-hybrid](https://www.wearedevelopers.com/jobs/ext/231955-data-engineer-advana-hybrid). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer (ADVANA) - Hybrid - **Company:** JTEC Consulting - **Location:** Washington, DC, United States - **Experience:** Expert - **Salary:** $130,000.0 - $145,000.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Big Data, Data Auditing, Data Cleansing, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, JSON, Python (Programming Language), Meta-Data Management, Scala (Programming Language), SQL Databases, Jupyter Notebook, Apache Spark, Data Pipelines, Databricks - **Published:** May 26, 2026 - **Apply:** https://www.clearancejobs.com/jobs/8934498/data-engineer-advana-hybrid ## About the Role * U.S. citizenship (no dual citizenship) * Current security clearance (Secret at a minimum) * 5+ years of experience as a Data Engineer with demonstrated experience creating data pipelines from scratch. * Recent experience and proficiency working on the ADVANA platform is a must. * High level of proficiency in ETL development. * Hands-on experience with Databricks, Python, Spark, Scala, JavaScript/JSON, and SQL. * Proven experience working with large datasets and leveraging big data technologies for efficient processing and analysis. * Effective written and verbal communication skills to excel in a blended government and contractor team environment. * Ability to work on-site (2-3 days per week) Preferred Experience: * Experience with data governance, metadata management, or data cataloging tools is a plus. * Familiarity with Air Force or DoD data systems is highly desirable. ## Description JTEC Consulting is hiring ADVANA Data Engineers to support a DoD program. Qualified candidates will have current/recent experience on the ADVANA platform and expertise with ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, and SQL., * Collaborate with cross-functional teams including data analysts, architects and mission stakeholders to translate requirements into technical solutions. * Design, develop, and implement end-to-end data pipelines utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks * Build and optimize data pipelines from scratch, ensuring scalability, reliability, and performance. * Conduct data cleansing, data integration, validation, and data quality assurance to ensure accuracy and integrity across large, diverse datasets. * Apply big data technologies to process and analyze high-volume datasets commonly encountered in a federal environments. * Diagnose and resolve complex data issues, providing innovative, efficient solutions to support mission-critical operations. * Contribute to best practices, documentation, and continuous improvement of data engineering processes. * Support hybrid schedule 2-3 days per week on-site. ## 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) - [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) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## 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) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [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) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)