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Remote Databricks Developer Jobs in Reston, VA (NOW HIRING)

Tenacity Solutions LLC

Be Seen First

Databricks Certified Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Experience implementing CI/CD and DevOps practices for data-engineering solutions. * Strong ... Work Environment This position is primarily remote , with limited onsite support required based on ...

VIVA USA INC

Data Engineer

MD · On-site +1

$114K - $137K/yr

... remote and located outside of the US but should be available until 4:30 P.M. ET)* Data Engineer - AIBI Overview: We are seeking a Data Intelligence Engineer to design, build, and operate a Databricks ...

Sparibis

Power Apps Developer

Washington, DC · On-site +1

Location: 100% Remote Years' Experience: 9+ years Professional Experience Education: Bachelor ... Databricks. * Transform data sources into data tables within tools to include Powers Apps and ...

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Remote Databricks Developer information

What is a remote Databricks developer?

A Remote Databricks Developer is a software professional who specializes in building, managing, and optimizing data pipelines and analytics workflows on the Databricks platform, while working from a remote location. They use Databricks, which is based on Apache Spark, to process large datasets, develop ETL processes, implement machine learning models, and collaborate with data teams. Their responsibilities often include writing code in languages like Python, Scala, or SQL, integrating with cloud services, and ensuring data quality and security. Working remotely, they communicate with teams online and use cloud-based tools to complete their tasks efficiently.

How does a remote Databricks developer typically collaborate with cross-functional teams while working from different locations?

Remote Databricks Developers often work closely with data engineers, data scientists, and business analysts through virtual collaboration tools like Slack, Jira, and Zoom. Since team members may be distributed across various time zones, clear communication, regular stand-up meetings, and thorough documentation are essential for ensuring alignment on project goals and deadlines. Developers are also expected to participate in code reviews and shared knowledge sessions to maintain coding standards and support a collaborative environment. This structure helps ensure that complex data solutions are delivered efficiently and meet business requirements.

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

To thrive as a Remote Databricks Developer, you need strong expertise in data engineering, programming languages like Python or Scala, and experience with big data frameworks, typically supported by a degree in computer science or a related field. Proficiency with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Associate Developer are commonly required. Strong problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills and qualities ensure efficient development, scalable data solutions, and effective teamwork in distributed environments.

What is the difference between Remote Databricks Developer vs Data Engineer?

AspectRemote Databricks DeveloperData Engineer
Required SkillsProficiency in Databricks, Spark, Python, SQLProficiency in data pipelines, ETL, cloud platforms, SQL
Work EnvironmentCollaborates on data projects using Databricks platformBuilds and maintains data infrastructure across cloud environments
CertificationsDatabricks certifications often preferredCloud certifications (AWS, Azure), data engineering certifications

While both roles involve working with data and cloud platforms, a Remote Databricks Developer specializes in developing solutions within the Databricks environment, focusing on Spark and data analytics. A Data Engineer has a broader scope, designing and maintaining data pipelines and infrastructure across various platforms. The roles overlap in skills like SQL and cloud knowledge, but their primary focus and tools differ.

What are the most commonly searched types of Databricks Developer jobs in Reston, VA?

The most popular types of Databricks Developer jobs in Reston, VA are:

What are popular job titles related to Remote Databricks Developer jobs in Reston, VA?

For Remote Databricks Developer jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Remote Databricks Developer jobs in Reston, VA look for?

The top searched job categories for Remote Databricks Developer jobs in Reston, VA are:

What cities near Reston, VA are hiring for Remote Databricks Developer jobs?

Cities near Reston, VA with the most Remote Databricks Developer job openings:

Remote Databricks Developer jobs near you
Infographic showing various Remote Databricks Developer job openings in Reston, VA as of August 2026, with employment types broken down into 67% Full Time, 27% Contract, and 6% Nights. Highlights an 100% Remote job distribution.

Databricks Engineer

Adelphi, MD • Remote

Noblesoft Technologies
Software Development • 51 - 200 employees
Learn more about Noblesoft Technologiesexternal

Contractor

Re-posted 16 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.