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Senior Databricks Data Engineer Jobs in Washington, DC

Steampunk

Senior Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $165K/yr

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

Karsun Solutions, LLC

Senior AI Data Engineer

Herndon, VA · On-site

$165K - $180K/yr

Summary We are seeking a highly skilled and motivated Sr. AI Data Engineer with a proven track ... Databricks AI Solutions: Design, build, and maintain scalable data pipelines and workflows using ...

Karsun Solutions LLC

Senior AI Data Engineer

Herndon, VA · On-site

$165K - $180K/yr

Summary We are seeking a highly skilled and motivated Sr. AI Data Engineer with a proven track ... Databricks AI Solutions: Design, build, and maintain scalable data pipelines and workflows using ...

CyberMedia Technologies

Data Engineer

Mclean, VA

$115K - $139K/yr

Cloud Data Platform & Databricks Implementation: Build, optimize, and maintain data processing ... Works under minimal supervision with minor guidance from senior personnel. Skills & Work Experience:

Steampunk

Data Engineer - Databricks

Mclean, VA

$115K - $139K/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 ...

ANALYTICA

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

This program entails developing, deploying, and maintaining secure, scalable data pipelines and platform services within the AWS and Databricks ecosystem. This role works alongside senior engineers ...

Analytica

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

This program entails developing, deploying, and maintaining secure, scalable data pipelines and platform services within the AWS and Databricks ecosystem. This role works alongside senior engineers ...

ECS

Sr. Databricks Consultant - TS/SCI-FSP

Fairfax, VA · On-site

$175K - $250K/yr

ECS is seeking a Sr. Databricks Consultant to work in our Arlington, VA office . Please Note: This ... Strong proficiency in Python and/or SQL for data engineering. * Experience with Apache Spark for ...

Analytica

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

This program entails developing, deploying, and maintaining secure, scalable data pipelines and platform services within the AWS and Databricks ecosystem. This role works alongside senior engineers ...

Revature

Data Engineer - Databricks

Washington, DC · On-site

$129K - $155K/yr

Revature is hiring experienced data engineers to join a large-scale Databricks platform build supporting federal government programs in the Washington, DC area. Our client is one of the world ...

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Revature

Senior Data Engineer - Databricks

Washington, DC · On-site

$120K - $163K/yr

Revature is hiring experienced data engineers to join a large-scale Databricks platform build supporting federal government programs in the Washington, DC area. Our client is one of the world ...

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All JobsDatabricks Data Engineer JobsSenior Databricks Data Engineer JobsSenior Databricks Data Engineer Jobs in Washington, DC

Senior Databricks Data Engineer information

See Washington, DC salary details

$67.4K

$143.3K

$207.8K

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

As of Aug 20, 2026, the average yearly pay for senior databricks data engineer in Washington, DC is $143,338.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $162,500.00 per year, depending on experience, location, and employer.

What is a Senior Databricks Data engineer?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.

How does a Senior Databricks Data engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

What are the key skills and qualifications needed to thrive as a Senior Databricks Data engineer, and why are they important?

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

What is the difference between Senior Databricks Data Engineer vs Data Engineer?

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

Is a Senior Databricks Data Engineer in demand?

A Senior Databricks Data Engineer is in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. Professionals with expertise in Spark, SQL, and cloud environments like Azure or AWS are particularly sought after in data-driven industries.

What are the most commonly searched types of Databricks Data Engineer jobs in Washington, DC?

The most popular types of Databricks Data Engineer jobs in Washington, DC are:

What are popular job titles related to Senior Databricks Data Engineer jobs in Washington, DC?

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

What job categories do people searching Senior Databricks Data Engineer jobs in Washington, DC look for?

The top searched job categories for Senior Databricks Data Engineer jobs in Washington, DC are:

Senior Databricks Data Engineer jobs near you
Infographic showing various Senior Databricks Data Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $143,338 per year, or $68.9 per hour.

Senior Data Engineer - Databricks

Steampunk

Mclean, VA • On-site, Remote

$125K - $165K/yr

Other

Re-posted 21 days ago

Job description

Overview
In today's rapidly evolving technology landscape, an organization's data has never been a more important aspect in achieving mission and business goals. Our data exploitation experts work with our clients to support their mission and business goals by creating and executing a comprehensive data strategy using the best technology and techniques, given the challenge.
At Steampunk, our goal is to build and execute a data strategy for our clients to coordinate data collection and generation, to align the organization and its data assets in support of the mission, and ultimately to realize mission goals with the strongest effectiveness possible.
For our clients, data is a strategic asset. They are looking to become a facts-based, data-driven, customer-focused organization. To help realize this goal, they are leveraging visual analytics platforms to analyze, visualize, and share information. At Steampunk you will design and develop solutions to high-impact, complex data problems, working with the best and data practitioners around. Our data exploitation approach is tightly integrated with Human-Centered Design and DevSecOps.
Contributions
We are looking for seasoned Senior 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 "Senior Data Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.
  • 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
Required:
  • Ability to hold a position of public trust with the US government.
  • 5-7 years industry experience coding commercial software and a passion for solving complex problems.
  • 5-7 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 $165,000. 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. As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. 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.

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