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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - Databricks - **Company:** @orchard Llc - **Location:** Washington, DC, United States - **Experience:** Expert - **Salary:** $110,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Databases, Information Engineering, Data Infrastructure, Data Transformation, Data Systems, Standard Sql, Systems Integration, Enterprise Data Management, Data Processing, Enterprise Software Applications, Data Ingestion, Apache Spark, SC Clearance, Data Lakes, Enterprise Integration, Data Pipelines, Legacy Systems, Databricks - **Published:** September 26, 2026 - **Apply:** https://www.careerjet.com/job/us0902b43c0e9c710f5f098c7dfbb16683/eaa ## About the Role * All candidates must possess a Secret clearance. Due to the hiring timeline, candidates without a clearance will NOT be considered at this time. * Must be a U.S. citizen. * 5+ years of enterprise application development, integration development, or related technical experience. * Experience developing and maintaining data pipelines in Databricks with strong knowledge of SQL and data engineering concepts. * Experience with data ingestion, transformation, integration, and processing, including working with enterprise data sources, databases, and/or ERP systems. * Experience developing scalable and reliable data solutions in a production environment. * Strong analytical and problem-solving skills, with the ability to troubleshoot technical issues and identify appropriate solutions. * Ability to work independently and manage multiple priorities in a dynamic environment. * Excellent written and verbal communication skills. Skills to make you stand out. * Experience with Apache Spark, Delta Lake, or related technologies. * Knowledge of DoW and Army financial management, ERP systems, and enterprise data environments. * Direct experience with Army platforms such as GFEBS or GCSS-Army. * Experience with complex system integrations. ## Description @Orchard LLC is recruiting a Databricks Engineer to support Army financial management and data modernization efforts. The Databricks Engineer will support the development, integration, and sustainment of data solutions designed to modernize Army financial management capabilities. In this role, you will develop and maintain data pipelines and data processing solutions within Databricks, integrate data from Army financial and enterprise systems, and support the delivery of reliable, governed data for financial execution and decision-making. The ideal candidate will bring strong experience with Databricks, data engineering, enterprise data integration, and modern data platforms, along with the ability to translate complex technical and business requirements into secure, scalable solutions. Your responsibilities as a Data Engineer. * Design, develop, configure, and maintain data pipelines and data processing solutions within the Databricks platform, including scalable data ingestion, transformation, and integration processes. * Integrate data from Army financial and enterprise systems and other approved data sources, including modern data platforms, enterprise applications, and legacy systems through APIs and other integration technologies. * Develop data transformation logic, workflows, data models, and analytical datasets that support financial management, reporting, analytics, and execution requirements. * Build and maintain reliable data solutions while ensuring data quality, accuracy, consistency, governance, security, lineage, and appropriate access controls. * Troubleshoot data pipeline, integration, and application issues; support testing, deployment, documentation, lifecycle management, and ongoing system sustainment. * Collaborate with technical teams, government stakeholders, and project personnel to translate business requirements into effective data solutions, while assuming progressive responsibility for user intake, recurring run support, and issue resolution during the sustainment handoff period. ## Related Videos - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [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) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post](https://www.wearedevelopers.com/videos/2018-enabling-intelligent-logistics-automation-home-grown-industrial-iot-platform-at-austrian-post) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)