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Remote Databricks Jobs in Washington, DC (NOW HIRING)

eTeam

Databricks Platform Engineer

Washington, DC · Remote

Remote Role Summary: We are seeking a Databricks Platform Engineer to implement and operationalize core platform capabilities on Databricks running on AWS. This role focuses on frameworks, automation ...

Deloitte

Databricks Manager

Rosslyn, VA · On-site +1

As an experienced Databricks Manager you will have the ability to share new ideas and collaborate ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Deloitte

Databricks Manager

Mclean, VA · On-site +1

As an experienced Databricks Manager you will have the ability to share new ideas and collaborate ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Deloitte

Databricks Manager

Washington, DC · On-site +1

As an experienced Databricks Manager you will have the ability to share new ideas and collaborate ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

SAIC

Data Support Team Lead

Arlington, VA · On-site +1

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking qualified applicants to ... Specialize in scalable architectures like Databricks Medallion Architecture, data agreements, and ...

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All JobsDatabricks JobsRemote Databricks JobsRemote Databricks Jobs in Washington, DC

Remote Databricks information

What are the key skills and qualifications needed to thrive as a Remote Databricks Engineer, and why are they important?

To thrive as a Remote Databricks Engineer, you need a strong background in data engineering, cloud computing (especially Azure or AWS), and proficiency in languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks platform tools, Spark, SQL, and relevant certifications such as Databricks Certified Data Engineer Associate are typically required. Strong problem-solving, communication, and self-motivation skills help you excel in remote and collaborative data-driven environments. These skills are essential for efficiently designing scalable data solutions and collaborating virtually to drive business value.

How does a remote Databricks engineer typically collaborate with cross-functional teams?

As a remote Databricks engineer, you will frequently work with data scientists, analysts, and other engineers through virtual collaboration tools such as Slack, Jira, and Zoom. Regular stand-up meetings, code reviews, and shared documentation platforms help maintain alignment across distributed teams. You'll often contribute to shared Databricks notebooks and participate in sprint planning to ensure data pipelines and analytics workflows meet business requirements. Effective communication and proactive documentation are key to successful remote collaboration in this role.

What are remote Databricks jobs?

Remote Databricks jobs are positions that involve working with the Databricks data analytics platform from a location outside of a traditional office, typically from home or another remote setting. These roles often focus on developing data pipelines, analyzing big data, building machine learning models, or managing cloud infrastructure using Databricks. Employees use collaboration tools and cloud-based environments to connect with their teams and access the Databricks platform securely. Remote Databricks jobs may be available for data engineers, data scientists, machine learning engineers, and DevOps professionals. The flexibility of remote work allows professionals to collaborate with global teams while leveraging Databricks’ powerful data processing and analytics capabilities.
What are popular job titles related to Remote Databricks jobs in Washington, DC? For Remote Databricks jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Databricks jobs in Washington, DC look for? The top searched job categories for Remote Databricks jobs in Washington, DC are:
Remote Databricks jobs near you
Infographic showing various Remote Databricks job openings in Washington, DC as of June 2026, with employment types broken down into 67% Full Time, 24% Part Time, and 9% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.
Databricks Engineer

Databricks Engineer

Noblesoft Technologies

Adelphi, MD • Remote

Contractor

Posted 15 days ago

Job description

Role: Databricks Engineer (with Validation/Testing experience)

Location: 100% remote (east coast hours)

Duration: 3-year project

 

Notes/Job Description:

The team is seeing many resumes that mention Databricks superficially, but they are specifically looking for a true Databricks expert—someone who knows the platform end‑to‑end, not just an analyst or light user.

This is a hands‑on engineering role, not an analytics position. The ideal candidate should be comfortable building custom utilities, writing Python and PySpark code, and troubleshooting complex data movement and validation issues independently.

Key Requirements

  • Deep Databricks expertise (developer‑level), not just exposure
  • Strong hands‑on experience with Databricks Medallion Architecture
    • Bronze / Silver / Gold (also referred to as Raw / Silver / Mark layers internally)
    • Experience validating and testing data as it moves across layers
  • Experience ingesting data from 10+ source systems into data lakes
  • Very strong with Databricks notebooks, Unity Catalog, Python, and PySpark
  • Ability to test and report on curated data layers and clearly explain QA/testing approaches
  • Experience with CI/CD in Databricks, including promotion of code vs. developer workflows
  • Familiarity with Playwright and TypeScript for testing is nice to have
  • Certifications are a plus, but not mandatory

Team & Process

  • Role is embedded within the Enterprise Data & Analytics Platform team
  • Must align with established QA and governance processes

Overall Takeaway They want a Databricks‑first engineer who has designed, built, tested, and operatedDatabricks pipelines in complex, multi‑source enterprise environments—not someone with Databricks listed as a secondary skill.