Senior Data Engineer - Databricks
Steampunk
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Remote · McLean, VA · Posted November 1, 2026
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Where McLean, VA ranks
Where McLean, VA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best all-round cities for mid-career professionals in the Mid-Atlantic79 / 100 · of 37
- #1Best all-round cities for mid-career professionals in the Southeast78 / 100 · of 33
- #1Best all-round cities for AI careers in the Southeast91 / 100 · of 33
- #2Best cities for AI-skill jobs in the Southeast17% · of 87
- #2Best all-round cities for AI careers in the Mid-Atlantic89 / 100 · of 37
- #3Best cities for entry-level jobs that want AI skills in the Southeast10% · of 77
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 160 open senior data engineer listings that state pay, the middle half runs $136,500 to $180,000 and the median is $152,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among database architects, AI is already used for a large share of the tasks. Measured exposure for database architects: 58% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
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 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.
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.
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. 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.