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Databricks Engineer Jobs in Richmond, VA (NOW HIRING)

Bitwise

Data Engineer Lead

Richmond, VA · On-site

$113K - $136K/yr

Role - Data Engineer Lead Location - Richmond, VA Fulltime Qualifications: • 8-10 years of experience as a Lead Data Engineer with a strong focus on Databricks & Azure Data Factory. • Strong ...

New

Genworth Financial

Lead Data Engineer

Richmond, VA · Hybrid

$101K - $133K/yr

In this role, you will lead and mentor data engineering tech leads across multiple build teams that use DataBricks and a data engineering CoE (Center of Excellence), guiding them through the full ...

Genworth Financial, Inc.

Lead Data Engineer

Richmond, VA · On-site

$101K - $133K/yr

In this role, you will lead and mentor data engineering tech leads across multiple build teams that use DataBricks and a data engineering CoE (Center of Excellence), guiding them through the full ...

Beyond SOF

Agentic Engineer.

Richmond, VA · On-site

$106K - $127K/yr

Experience with big data frameworks such as Apache Spark and Azure Databricks. * Ability to train ... Strong programming skills in Python and experience with AI/ML frameworks. * Proficiency in working ...

CoStar Group

Senior Data Engineer

Richmond, VA · On-site

$104K - $142K/yr

Production-scale expertise with Databricks (Delta Lake, Unity Catalog, Delta Live Tables ... feature-engineering pipelines and ability to apply AI assist or agentic workflows for code ...

CoStar

Senior Data Engineer

Richmond, VA

$104K - $142K/yr

Production-scale expertise with Databricks (Delta Lake, Unity Catalog, Delta Live Tables ... feature-engineering pipelines and ability to apply AI assist or agentic workflows for code ...

CoStar Group

Senior Data Engineer

Richmond, VA · On-site

$104K - $142K/yr

Production-scale expertise with Databricks (Delta Lake, Unity Catalog, Delta Live Tables ... feature-engineering pipelines and ability to apply AI assist or agentic workflows for code ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Richmond, VA

Databricks Engineer information

See Richmond, VA salary details

$58.2K

$109.3K

$198.7K

How much do databricks engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for databricks engineer in Richmond, VA is $109,279.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $129,700.00 per year, depending on experience, location, and employer.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

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

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

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

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

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

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

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Richmond, VA as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $109,279 per year, or $52.5 per hour.

Senior Databricks Data Engineer - Data Platform & Medallion Architecture 3657895

Axiom Path

Richmond, VA • Remote

$90 - $97/hr

Full-time, Contractor

Posted 3 days ago

New

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.