> Markdown version of [/jobs/ext/4560166-data-engineer-iii](https://www.wearedevelopers.com/jobs/ext/4560166-data-engineer-iii). 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 III - **Company:** Deloitte T.T.L. - **Location:** United States - **Experience:** Experienced - **Salary:** $113,000.0 - $188,400.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Code Review, Continuous Integration, Global Positioning Systems (GPS), Key Management, Machine Learning, Large Language Models, Generative AI, Git, Data Analytics, Databricks - **Published:** November 4, 2026 - **Apply:** https://apply.deloitte.com/en_US/careers/Login?jobId=374041 ## About the Role * Ability to work independently and collaborate as part of a team * Effective written and verbal communication skills * Meticulous attention to detail and quality of work product * Ability to build and sustain professional relationships * Ability to lead projects or workstreams * Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong interpersonal skills and professional demeanor * Ability to meet deadlines * Ability to provide clear guidance to others, Required: * Bachelor's degree * Ability to obtain and maintain the required clearance for this role * 4+ years of Databricks engineering experience * 4+ years of experience with Python, PySpark, and SQL, Delta Lake and Medallion Architecture * 2+ years of experience in databricks architecture * Ability to travel 10-15%, on average, based on the work you do and the clients and industries/sectors you serve * Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future Preferred: * Experience supporting federal healthcare clients or working with Centers for Medicare & Medicaid Services (CMS) claims, Medicaid or Medicare claims, clinical and provider data, quality measures, or longitudinal patient data * Databricks Certified Data Engineer Professional, Data Analyst Associate, Machine Learning Professional, or Generative AI Engineer Associate certification * Experience administering Databricks platforms, including Unity Catalog, workspace administration, cluster policies, service principals, secrets management, and role-based access controls * Experience implementing Databricks Asset Bundles and Git-based continuous integration and continuous delivery (CI/CD) across development, test, and production environments ## Description Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. Work you'll do As a Data Engineer III on the AI & Engineering team, you will be responsible for… * Lead the governance, architecture, reliability, and operation of secure, scalable Databricks environments supporting the Data Aggregation Contract (CDAC) * Establish workspace governance, Unity Catalog structures, access controls, service principals, and policies that protect protected health information (PHI) and sensitive healthcare data * Define medallion architecture standards and build reusable ingestion and transformation frameworks for Centers for Medicare & Medicaid Services (CMS) claims, clinical, provider, quality, and oncology data * Improve data quality and production reliability through validation, reconciliation, lineage, observability, service-level agreement monitoring, dashboards, and proactive alerts * Establish continuous integration and continuous delivery (CI/CD) standards; review code, data models, and pipeline designs; and assess generative artificial intelligence (GenAI) and large language model (LLM) use cases for production readiness