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Databricks Engineer Jobs in Washington (NOW HIRING)

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 than ...

Databricks

Sr. Counsel, Product

Washington, DC · On-site

$143K - $189K/yr

GAQ427R191 Databricks is seeking a Senior Product Counsel to help the Databricks legal team provide cutting-edge, practical legal advice to Databricks' engineering and product management teams as we ...

Booz Allen Hamilton

Databricks Platform Engineer

Mclean, VA · On-site

$77K - $176K/yr

Databricks Platform Engineer The Opportunity: Do you want to work at the forefront of advanced technology and solve complex platform challenges? Data platforms enable pivotal insights when they are ...

New

Booz Allen Hamilton

Databricks Platform Engineer

Mclean, VA · On-site

$99K - $225K/yr

Databricks Platform Engineer The Opportunity: Do you want to work at the forefront of advanced technology and solve complex platform challenges? Data platforms enable pivotal insights when they are ...

New

Agelix Consulting

Databricks SME

Washington, DC · On-site

$63.25 - $84.50/hr

Databricks SME 18 months Washington, D.C. 20224 Key Responsibilities * Serve as the Databricks SME ... Mentor mid-level engineers and contribute to team knowledge sharing. * Participate in code reviews ...

ECS

Senior Databricks Migration Engineer

Arlington, VA · On-site

$130K - $158K/yr

ECS is seeking a Senior Databricks Migration Engineer to work onsite for the US Postal Services' Inspector General's Office (OIG) at our Arlington, VA office. This role leads technical data migration ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Washington

Databricks Engineer information

See Washington salary details

$67.4K

$126.4K

$229.9K

How much do databricks engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for databricks engineer in Washington is $126,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,200.00 and $150,100.00 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 Washington?

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

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

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

What cities in Washington are hiring for Databricks Engineer jobs?

Cities in Washington with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Washington as of September 2026, with employment types broken down into 1% Internship, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,434 per year, or $60.8 per hour.

Data Engineer - Databricks

Mclean, VA • On-site, Remote

Steampunk
IT Services • 201 - 500 employees
Learn more about Steampunkexternal

$125K - $160K/yr

Full-time

Re-posted 18 days ago

Key responsibilities

  • Lead and architect migrations of data using Databricks with focus on performance, reliability, and scalability.

  • Assess and understand ETL jobs, workflows, data marts, BI tools, and reports.

  • Address technical inquiries concerning customization, integration, enterprise architecture, and general feature/functionality of data products.

Job description

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 than just a "Data Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. 

Contributions
  • Lead and architect migrations of data using Databricks with focus on performance, reliability, and scalability.
  • Assess and understand ETL jobs, workflows, data marts, BI tools, and reports
  • Address technical inquiries concerning customization, integration, enterprise architecture and general feature/functionality of data products
  • Experience working with database/data warehouse/data mart solutions in cloud (Preferably AWS. Alternatively Azure, GCP).
  • Key must have skill sets - Databricks, SQL, PySpark/Python, AWS
  • Support an Agile software development lifecycle
  • You will contribute to the growth of our AI & Data Exploitation Practice! 
Qualifications
  • Ability to hold a position of public trust with the US government. 
  • 2-4 years industry experience coding commercial software and a passion for solving complex problems. 
  • 2-4 years direct experience in Data Engineering with experience in tools such as: 
  • Big data tools: Databricks, Apache Spark, Delta Lake, etc. 
  • Relational SQL (Preferably T-SQL. Alternatively pgSQL, MySQL). 
  • Data pipeline and workflow management tools: Databricks Workflows, Airflow, Step Functions, etc. 
  • AWS cloud services: Databricks on AWS, S3, EC2, RDS (or Azure equivalents). 
  • Object-oriented/object function scripting languages: PySpark/Python, Java, C++, Scala, etc. 
  • Experience working with Data Lakehouse architecture and Delta Lake/Apache Iceberg 
  • Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases. 
  • Experience manipulating, processing, and extracting value from large, disconnected datasets. 
  • Ability to inspect existing data pipelines, discern their purpose and functionality, and re-implement them efficiently in Databricks. 
  • Experience manipulating structured and unstructured data. 
  • Experience architecting data systems (transactional and warehouses). 
  • Experience the SDLC, CI/CD, and operating in dev/test/prod environments. 
  • Experience with data cataloging tools such as Informatica EDC, Unity Catalog, Collibra, Alation, Purview, or DataZone is a plus. 
  • Commitment to data governance. 
  • Experience working in an Agile environment. 
  • Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models 
About steampunk

Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $125,000 to $160,000.  The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here. 

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. If you want to learn more about our story, visit http://www.steampunk.com. 

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.Steampunk participates in the E-Verify program. 

Employment Type: OTHER

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