> Markdown version of [/jobs/ext/4581835-databricks-data-scientist-engineer-100-remote](https://www.wearedevelopers.com/jobs/ext/4581835-databricks-data-scientist-engineer-100-remote). 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). --- # Databricks Data Scientist/Engineer (100% Remote) - **Company:** Insight Global - **Location:** Arlington, VA, United States - **Experience:** Expert - **Salary:** $114,400.0 - $126,880.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon S3, Business Analytics Applications, Systems Engineering, Microsoft Azure, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, Data Mesh, Systems Integration, Apache Spark, AWS Lambda, Agentic-AI, Data Lakes, Collibra, Data Management, Machine Learning Operations, Data Pipelines, Databricks - **Published:** November 5, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3496656964&tx=UT5551TTV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Ability to obtain a DHS EOD security clearance * Bachelor's Degree (in IT or a related technical field) * 7+ years of hands-on experience architecting, designing, data engineering with Databricks and AWS in a government setting. * Hands-on Databricks experience including building pipelines and integrating Databricks with other analytics platforms. * Strong understanding and experience in areas such as Apache Spark, Lakebase, Lakehouse architectures, Delta Lake, Delta Sharing, Medallion Architecture, Data & AI Governance, and use case acceleration. * Demonstrated hands-on experience with AWS Cloud Native data and ETL capabilities (S3, Lambdas, Glue, etc.). Strong equivalent Azure experience is also acceptable. * Demonstrated experience leveraging data to provide search, enrichment, correlation, AI/ML Model Training, in alignment with government mission and business use cases * Strong Python skills. * Prior consulting or customer-facing experience in data architecture or modernization initiatives. * Experience in Agile environments and managing cross-functional technical delivery. * Federal background/experience (experience supporting DHS is a plus) * Experience supporting Databricks implementations at DHS agencies (e.g., CBP, USCIS, FEMA, ICE, USCG) * Experience with the DHS System Engineering Lifecycle (SELC) * Experience with Unity Catalog and MLFlow within Databricks * Experience with agentic AI tools such as Databricks' Agent Bricks and Genie * Familiarity with the concepts of a data mesh * AWS Solutions Architect Associate or Solutions Architect Professional Certification * Experience building reference architectures, playbooks, or platform documentation * Experience with metadata platforms (e.g., DataHub, Collibra) and integrating Databricks with them * Databricks certifications (Architect, Data Engineer) ## Description Insight Global is looking to hire a Databricks Data Scientist/Engineer to support the implementation and long-term operation of Databricks within a complex Government environment. This person will work closely with stakeholders during the initial rollout of Databricks and support data engineering projects as the platform is expanded throughout the environment. This includes helping design and implement scalable Databricks solutions, integrating Databricks with other data platforms, and ensuring solutions are built with scalability and data governance in mind. The ideal candidate will bring strong hands-on Databricks and AWS experience and be comfortable supporting both the initial implementation and continued use of the platform., * Lead data engineering efforts within Databricks to include pipeline development within Databricks on AWS in an enterprise environment * Provide unification for organization and enterprise data capabilities to break down organizational data and operational silos, including mechanisms to standardize and migrate existing data to a unified data plane/warehouse * Support the integration of Databricks with existing analytics platforms and metadata solutions * Serve as a technical advisor to stakeholders and help upskill internal teams through guidance/documentation * Assist and develop customer use case applications of Databricks