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Remote Databricks Data Engineer Jobs in Richmond, VA

Raytheon

Data Engineer

Richmond, VA · Remote

$113K - $136K/yr

US-VA-REMOTE Position Role Type: Remote U.S. Citizen, U.S. Person, or Immigration Status ... Databricks. * Collaborate with data scientists, analysts, architects and other stakeholders to ...

NAVA Software Solutions

Data Engineer - Remote

Richmond, VA · On-site +1

$113K - $136K/yr

Data Engineer Location: 100% Remote Duration: 12 months Required Qualifications: * 7+ Years Experience in the following: Python, Java, Scala, Spark, AirFlow, Javascript/TypeScript * 3+ Years ...

Polar IT Services

Azure Databrick Engineer

Richmond, VA · On-site +1

Remote opportunities available in the following states: Virginia, North Carolina, Alabama, Delaware ... Azure Databricks strongly preferred * Healthcare experience is preferred. Data Warehousing and ...

Polar IT Services

Azure Databrick Engineer

Richmond, VA · Remote

Remote opportunities available in the following states: Virginia, North Carolina, Alabama, Delaware ... Azure Databricks strongly preferred * Healthcare experience is preferred. Data Warehousing and ...

McKesson

Director, Database Management

Richmond, VA · Remote

Data Architecture & Migration * Pipeline Engineering : Oversee robust ETL/ELT pipelines ingesting ... Deep, practical experience managing workloads inside Snowflake, Databricks, and Google Cloud ...

McKesson

Director, Database Management

Richmond, VA · Remote

Data Architecture & Migration * Pipeline Engineering : Oversee robust ETL/ELT pipelines ingesting ... Deep, practical experience managing workloads inside Snowflake, Databricks, and Google Cloud ...

TEEMA

Senior Automation Engineer

Richmond, VA · Remote

$72.50/hr

Automation Engineer - Power Automate (Healthcare Operations) Contract to Permanent Job Summary We ... are and data systems including CareRadius, Anchor Point, and Databricks. * Generative AI ...

Genworth Financial

Data Scientist Manager

Richmond, VA · On-site +1

A Hybrid schedule of both Remote and In-Office days is required. In office days are Tuesday ... Design and implement repeatable analytics pipelines, feature engineering strategies, and model ...

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Remote Databricks Data Engineer information

See Richmond, VA salary details

$44K

$128.4K

$175.7K

How much do remote databricks data engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote databricks data engineer in Richmond, VA is $128,371.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,100.00 per year, depending on experience, location, and employer.

What is a remote Databricks data engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are the key skills and qualifications needed to thrive as a remote Databricks data engineer?

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What are some common challenges faced by remote Databricks data engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.

What are the most commonly searched types of Databricks Data Engineer jobs in Richmond, VA?

The most popular types of Databricks Data Engineer jobs in Richmond, VA are:

What are popular job titles related to Remote Databricks Data Engineer jobs in Richmond, VA?

For Remote Databricks Data Engineer jobs in Richmond, VA, the most frequently searched job titles are:

What job categories do people searching Remote Databricks Data Engineer jobs in Richmond, VA look for?

The top searched job categories for Remote Databricks Data Engineer jobs in Richmond, VA are:

What cities near Richmond, VA are hiring for Remote Databricks Data Engineer jobs?

Cities near Richmond, VA with the most Remote Databricks Data Engineer job openings:

Remote Databricks Data Engineer jobs near you
Infographic showing various Remote Databricks Data Engineer job openings in Richmond, VA as of June 2026, with employment types broken down into 78% Full Time, 17% Part Time, and 5% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $128,371 per year, or $61.7 per hour.

Senior Databricks Data Engineer - Data Platform & Medallion Architecture 3657895

Axiom Path

Richmond, VA • Remote

$90 - $97/hr

Full-time, Contractor

Posted 4 days ago

Job description

Be Part Of A High-Performing Team

Join a data engineering organization that is modernizing enterprise data capabilities and building scalable solutions to improve how critical business information is ingested, standardized, governed, and consumed. The team is expanding its use of Databricks to create reusable engineering frameworks, modern data models, observability capabilities, and advanced analytics solutions.

This role will work closely with architects, technical leads, business partners, and distributed engineering teams while contributing directly to new Databricks capabilities. Projects include data pipeline modernization, medallion architecture, underwriting-data analytics, data-quality frameworks, and emerging AI-enabled capabilities such as intelligent document processing.

What's In Store For You

  • Engagement: W2 only (no C2C/1099)
  • Work model: Fully remote within the U.S., working Eastern Time hours
  • Preference for candidates located in or near Richmond, Virginia
  • Contract-to-hire opportunity
  • Opportunity to help define reusable Databricks engineering standards and frameworks used across multiple teams
  • Exposure to newer Databricks capabilities, including AI-assisted development and intelligent document processing
  • Broad ownership across requirements, development, testing, deployment, documentation, and production support

How You Will Make An Impact

  • Design, develop, and enhance enterprise-scale data solutions using Databricks and medallion architecture.
  • Build reusable frameworks and common functions that standardize data ingestion, transformation, validation, repair, and pipeline monitoring.
  • Develop Bronze, Silver, and Gold data layers that improve the usability, consistency, and accessibility of enterprise data.
  • Create dimensional data structures, including facts, dimensions, derived attributes, and SCD Type 2 implementations.
  • Develop and orchestrate both batch and streaming data pipelines.
  • Partner with business stakeholders to translate high-level data requirements into technical solutions.
  • Collaborate with architects and technical leadership on solution design and engineering standards.
  • Perform hands-on development, unit testing, system integration testing, debugging, and production support.
  • Build solutions that improve pipeline observability, SLA monitoring, data quality, and operational transparency.
  • Optimize Databricks compute and storage performance.
  • Develop documentation, training materials, and reusable guidance so other engineering teams can adopt frameworks and capabilities.
  • Explore newer Databricks functionality such as Intelligent Document Processing, Genie, and self-service workspace capabilities and establish practical implementation patterns.

Do You Have the Expertise to Lead in Databricks Data Engineering?

  • Minimum 3 years of full-time, hands-on Databricks experience within Azure or AWS environments.
  • Strong experience implementing the medallion architecture, including Bronze, Silver, and Gold data layers.
  • Expert-level SQL skills.
  • Intermediate or stronger PySpark programming experience.
  • Demonstrated experience creating reusable data engineering frameworks, common functions, or standardized pipeline components.
  • Hands-on experience creating dimensional models, fact tables, dimensions, derived business values, and SCD Type 2 structures.
  • Strong Databricks orchestration experience supporting batch and streaming pipelines.
  • Experience with Databricks capabilities such as Unity Catalog, Spark UI, job scheduling, Lakeflow, and data quality expectations.
  • Proven experience with unit testing, SIT, UAT support, debugging, and troubleshooting data defects.
  • Experience optimizing Databricks compute and storage.
  • Strong understanding of CI/CD, Git-based development, and automated deployment processes.
  • Experience working within Agile environments, including user stories, technical task definition, and effort estimation.
  • Ability to communicate effectively with business users, architects, engineering teams, and onshore/offshore partners.
  • Strong problem-solving, design-thinking, teamwork, and documentation skills.
  • Candidates with 5+ years of Databricks experience and experience building major platform capabilities from scratch are strongly preferred.
  • Insurance data, data governance, or data observability experience is beneficial.