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Databricks Engineer Jobs in Virginia (NOW HIRING)

Deloitte

Sr Databricks Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Deloitte

Sr Databricks Data Engineer

Rosslyn, VA

$130K - $156K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Berkley

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production grade data pipelines in modern cloud environments, enabling analytics, AI, ML, and decision ...

Deloitte

Azure/Databricks Infrastructure Engineer

Mclean, VA · On-site

$56.25 - $75.25/hr

As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data ...

ECS

Senior Databricks Platform Engineer

Quantico, VA · On-site

$140K - $165K/yr

Everforth ECS is seeking a Senior Databricks Platform Engineer to work in our Arlington, VA office (Hybrid). We are seeking a highly skilled Senior Databricks Platform Engineer to design, implement ...

Steampunk

Data Engineer - Databricks

Mclean, VA · On-site

$125K - $160K/yr

We are looking for seasoned Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks.We are looking for more than just a ...

Steampunk

Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $160K/yr

Overview We are looking for seasoned Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks. We are looking for more ...

Steampunk

Data Engineer - Databricks

Mclean, VA · On-site

$110K - $160K/yr

Overview We are looking for seasoned Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks. We are looking for more ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Virginia

Databricks Engineer information

See Virginia salary details

$59K

$110.7K

$201.3K

How much do databricks engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for databricks engineer in Virginia is $110,674.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,800.00 and $131,400.00 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 Virginia?

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

What job categories do people searching Databricks Engineer jobs in Virginia look for?

The top searched job categories for Databricks Engineer jobs in Virginia are:

What cities in Virginia are hiring for Databricks Engineer jobs?

Cities in Virginia with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Virginia as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $110,674 per year, or $53.2 per hour.

Managing Consultant, Databricks Engineer - Richmond

Thought Logic Consulting

Richmond, VA • On-site

Full-time

Posted 5 days ago

Job description

Managing Consultant, Databricks Engineer - Richmond
Department: Data Analytics
Employment Type: Full Time
Location: Richmond
Description
Managing Consultant, Databricks Engineer - Richmond
Thought Logic Consulting is a functionally-led, digitally enabled consultancy that exists at the intersection of business transformation and technology innovation. We partner with clients to solve their most complex business problems through a combination of deep functional expertise, modern technology, and practical execution. Our highly collaborative, local-market approach gives clients senior-level attention while giving our consultants room to grow, lead, and build.
***Candidates must currently reside in or live within a commutable distance to the Richmond area ****
The Role
We are looking for a technically skilled and motivated Databricks Engineer with 7+ years of experience and strong hands-on Databricks expertise to join our growing Data & Analytics team.
In this role, you'll design and build modern data solutions for clients, with a focus on Databricks Lakehouse architecture, scalable data pipelines, cloud data platforms, data quality, and emerging AI-enabled engineering practices. You'll work alongside experienced architects and consultants while taking ownership of technical delivery and developing your client-facing and consulting skills.
What You'll Do
  • Design and build scalable data engineering solutions using Databricks Lakehouse, including Delta Lake, Unity Catalog, Delta Live Tables/Lakeflow Declarative Pipelines, Delta Sharing, and Uniform (Iceberg) where appropriate.
  • Develop and optimize batch, micro-batch, and streaming data pipelines using Auto Loader, Apache Spark, PySpark, SQL, and Python.
  • Build robust ETL/ELT processes, data models, and orchestration workflows using Databricks Jobs/Workflows, Airflow, dbt, and modern data engineering patterns.
  • Implement data quality, observability, governance, auditability, and performance optimization capabilities across enterprise data platforms.
  • Establish modern CI/CD and DevOps practices for data engineering, including Databricks Asset Bundles, automated testing, deployment automation, and Infrastructure as Code with tools such as Terraform.

Who You'll Work With
  • Experienced consultants, architects, and engineers focused on solving complex business and technology challenges through data.
  • Clients across industries looking to modernize data platforms, improve data accessibility and quality, and create greater value from their data.
  • Cross-functional stakeholders across technology, analytics, business operations, and leadership, requiring both technical depth and strong communication.
  • A collaborative team that values curiosity, humility, technical excellence, hands-on problem-solving, and client impact.

What You'll Bring
What You'll Bring
  • 7+ years of data engineering, analytics, or related technical experience, including at least 2 years of hands-on Databricks engineering and strong experience with Lakehouse technologies.
  • Strong hands-on skills with Databricks, Delta Lake, Unity Catalog, Lakeflow/Delta Live Tables, Apache Spark, PySpark, SQL, and Python, including scalable batch and streaming pipelines.
  • Experience with Databricks Workflows/Jobs, Auto Loader, Airflow, dbt, and/or similar orchestration and transformation technologies, plus experience with cloud data platforms such as Snowflake, Redshift, or BigQuery.
  • Understanding of enterprise data quality, governance, observability, auditability, performance optimization, CI/CD, and automated testing, with exposure to Databricks Asset Bundles and Terraform.
  • Strong consulting, communication, and problem-solving skills, with the ability to work directly with technical and non-technical stakeholders and translate business requirements into practical data solutions.

Bonus Points if You Have
  • Databricks Data Engineer Associate or Professional certification and multiple Databricks project delivery experiences.
  • Experience with modern data and cloud technologies such as Snowflake, Redshift, BigQuery, Kafka, Amazon EMR, Docker, Kubernetes, or Terraform.
  • Experience implementing enterprise data quality and governance using Great Expectations, Collibra, dbt, or Databricks-native capabilities.
  • Exposure to agentic AI and AI-powered development tools, including LangGraph, autonomous agents, GitHub Copilot, Claude Code, Cursor, Windsurf, Codex, or similar technologies.
  • Previous consulting or client-facing technical delivery experience, along with cloud or additional data engineering certifications.

Why Thought Logic
  • Work on transformations that matter, not slide decks that sit on shelves
  • Real responsibility and ownership over how work gets delivered and how clients experience us
  • Direct access to firm leadership and influence over how we grow and evolve
  • A culture that values depth over optics, outcomes over activity, and people over process
  • The chance to grow your career in a firm that's scaling thoughtfully and intentionally, not just chasing growth for growth's sake
  • The opportunity to flex in a continuous learner environment. Get access and exposure to the latest tools, technologies and trends in the AI space

Apply