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Databricks Engineer & AI Enablement Architect - Data Engineer III

Deloitte

Washington, DCJob$113–188K/yrSeen 2 days agoSeen in employer's feed 2 days ago

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At a glance

Compensation
$113–188K/yr
Location
Washington, DC
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Security clearanceBachelor's degree

Job overview

Deloitte’s AI & Engineering team is seeking a Data Engineer III to lead secure, scalable Databricks environments supporting the Data Aggregation Contract. The role establishes governance and architecture, builds reusable data ingestion and transformation frameworks, improves data quality and production reliability, and sets CI/CD standards. The successful candidate will also review code and pipelines and assess GenAI and LLM use cases for production readiness.

Skills & qualifications

RequiredNice to have

Skills

Independent WorkTeam CollaborationWritten CommunicationVerbal CommunicationAttention to DetailRelationship BuildingProject LeadershipTask PrioritizationInterpersonal SkillsDeadline ManagementGuidanceDatabricks EngineeringPythonPySparkSQLDelta LakeMedallion ArchitectureDatabricks ArchitectureFederal Healthcare DataDatabricks Platform AdministrationUnity CatalogWorkspace AdministrationCluster PoliciesService PrincipalsSecrets ManagementRole-Based Access ControlsDatabricks Asset BundlesGit-Based CI/CD

Qualifications

Bachelor's DegreeRequired Clearance4+ Years Databricks Engineering Experience4+ Years Python, PySpark, SQL, Delta Lake, and Medallion Architecture Experience2+ Years Databricks Architecture ExperienceDatabricks Certified Data Engineer Professional or Data Analyst Associate or Machine Learning Professional or Generative AI Engineer AssociateUS Work Authorization Without Sponsorship

Full job 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

A successful candidate would possess these skills:

  • 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

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

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

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,000 to $188,400.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

How this job compares

Set against the 6,389 open Data Engineer jobs on Olive Jobs, counted November 7, 2026.

Pay
  • This posting$113–188K/yr
  • Washington, D.C. median$108–188K/yr85 salary ranges
  • US median$125–208K/yr4,942 salary ranges

This range's midpoint, $151K, is close to the Washington, D.C. median midpoint ($151K) — in the middle half of Data Engineer salary ranges in Washington, D.C..

Openings
Olive Jobs lists 103 open Data Engineer jobs in Washington, D.C. and 6,389 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Washington, D.C.
Experience
This posting asks for at least 4 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,569 postings).
Education
This posting asks for a bachelor's degree; 2,510 of the 6,389 open Data Engineer jobs (39%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 7, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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