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Remote Databricks Jobs in Washington, DC (NOW HIRING)

ICF

Data Engineer (Databricks)

Reston, VA · Remote

$119K - $143K/yr

This position is fully remote with up to 10% travel to the DC Metropolitan area for client meetings ... Databricks on Azure for data engineering and ML pipeline support. * SQL, Python, Spark, Tableau.

HRC Global Services

Senior Data Architect

Reston, VA · Remote

$68.75 - $92/hr

United States (Hybrid/Remote as per project requirements) Experience: 10+ Years Employment Type ... Databricks * Unity Catalog * Delta Live Tables * Collibra * Alation * Informatica * Palantir ...

Lovelytics

Architect, Data Engineering

Arlington, VA · On-site +1

$170K - $190K/yr

... delivered on Databricks, with deep partnerships across AWS, Azure, and GCP. To date, we\'ve ... This role is open to remote candidates in the U.S. and Ontario, Canada. You're also welcome in any ...

Humana

Senior Applied AI Engineer

Washington, DC · On-site +1

$118K - $162K/yr

The hiring team owns a large data store in Databricks Unity Catalog containing all ITSM data that ... This position's work style is remote from any of the locations listed below. You must reside in ...

Humana

Senior Applied AI Engineer

Washington, DC · On-site +1

$118K - $162K/yr

The hiring team owns a large data store in Databricks Unity Catalog containing all ITSM data that ... This position's work style is remote from any of the locations listed below. You must reside in ...

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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 the most commonly searched types of Databricks jobs in Washington, DC? The most popular types of Databricks jobs in Washington, DC are:
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 July 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% Remote job distribution.
Databricks Engineer

Databricks Engineer

Noblesoft Technologies

Adelphi, MD • Remote

Contractor

Posted yesterday

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.