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Databricks Data Engineer Jobs in Arlington, VA (NOW HIRING)

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 ...

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 ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

We are seeking to hire a Data Engineer to our team! Client: CTEC develops and delivers innovative ... Cloud Data Platform & Databricks Implementation: Build, optimize, and maintain data processing ...

Data Engineer, Databricks

Washington, DC · On-site

$90K - $140K/yr

S. Citizenship * 2+ years of engineering experience on Databricks and large-scale big data projects (Delta Lake, DLT, Apache Spark, unity Catalog). * Bachelor's Degree * 4+ years of experience in ...

Data Engineer

Columbia, MD · On-site

$111K - $133K/yr

As a Data Engineer/Analyst, you will work closely with Medisolv clients to extract, transform and ... Preferred Qualifications · Experience with Azure and/or AWS platforms using Snowflake, Databricks ...

Overview 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 ...

Data Engineer - Databricks

Mclean, VA · On-site

$110K - $160K/yr

We are looking for more than just a "Data Engineer", but a technologist with excellent ... Key must have skill sets - Python, SQL, Databricks, AWS Data Services * Support an Agile software ...

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial regulatory agency. This program entails developing, deploying, and maintaining secure, scalable data ...

Overview 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 ...

Senior Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $165K/yr

Overview 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 ...

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial regulatory agency. This program entails developing, deploying, and maintaining secure, scalable data ...

Data Engineer - AWS/Databricks

Reston, VA · On-site

$120K - $150K/yr

This role requires knowledge and/or experience with Spark, Delta Lake, and distributed data pipelines on Databricks. The ideal candidate brings both engineering and strategic insight into enterprise ...

Overview 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 ...

Senior Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $165K/yr

Overview 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 ...

Overview 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 ...

Showing results 21-40

Databricks Data Engineer information

See Arlington, VA salary details

$51.2K

$149.2K

$204.2K

How much do databricks data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for databricks data engineer in Arlington, VA is $149,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,700.00 and $158,200.00 per year, depending on experience, location, and employer.

What is a Databricks data engineer?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a Databricks data engineer do?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

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

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

Is a Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

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

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

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

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

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

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

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

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

Infographic showing various Databricks Data Engineer job openings in Arlington, VA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $149,233 per year, or $71.7 per hour.

Data Engineer - Databricks

Steampunk

Mclean, VA • On-site, Remote

$125K - $160K/yr

Other

Re-posted 12 days ago


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.