
Databricks Engineer - Data Engineer III
Washington, DCJob$108–180K/yrSeen 1 day agoSeen in employer's feed 1 day ago
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
The Data Engineer will develop and optimize data pipelines on the Databricks Lakehouse platform for Deloitte’s AI & Engineering team. The role applies Medallion architecture, tunes Databricks workloads and SQL queries, configures Unity Catalog security and data sharing, and implements CI/CD and testing processes. The position supports government and public-sector clients and requires a bachelor’s degree, relevant engineering experience, and the ability to obtain and maintain the required clearance.
Skills & qualifications
Skills
Qualifications
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 II on the AI & Engineering team, you will be responsible for...
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Develop and optimize data pipelines using Python, PySpark, and SQL within the Databricks Lakehouse platform
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Apply Medallion architecture patterns to organize, transform, and manage data across data layers
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Perform performance tuning for Databricks workloads and SQL queries
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Configure row-level and column-level security and manage data lineage and sharing in Unity Catalog
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Implement continuous integration/continuous delivery (CI/CD) and testing processes for Databricks workflows
A successful candidate would possess these skills:
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Ability to work independently and collaborate as part of a team
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Effective written and verbal communication skills
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Meticulous attention to detail and quality of work product
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Ability to build and sustain professional relationships
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Ability to lead projects or workstreams
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Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
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Strong interpersonal skills and professional demeanor
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Ability to meet deadlines
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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:
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Bachelor's degree
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Ability to obtain and maintain the required clearance for this role
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2+ years of Databricks engineering experience
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4+ years of experience with Python, PySpark, and SQL
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Ability to travel 10-15%, on average, based on the work you do and the clients and industries/sectors you serve
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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:
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Experience using Medallion architecture in the Databricks Lakehouse platform
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Experience configuring row-level and column-level security, data lineage, and data sharing in Unity Catalog
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Experience implementing continuous integration/continuous delivery (CI/CD) and testing processes for Databricks
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Experience with performance tuning in Databricks
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 $107,700 to $179,500.
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$108–180K/yr
- Washington, D.C. median$108–188K/yr85 salary ranges
- US median$125–208K/yr4,942 salary ranges
This range's midpoint, $144K, is 5% below 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.
- Deloitte (this employer)16 open
- Databricks7 open
- Oracle6 open
- Experience
- This posting asks for at least 2 years of experience — less than three in four Data Engineer postings that state a minimum ask for (median 5 years, across 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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