Pay
In line with similar jobs
$125K–$165K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Senior Data Engineer - Databricks
- Pay
$125,000–165,000/yearAnnual period assumed — pay source
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
Read the full posting- Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting- Employment
- Not stated
What you’ll work on
Full postingLead and architect data migrations using Databricks
Assess ETL jobs, workflows, data marts, BI tools and reports
Answer technical questions on customization, integration and architecture
Support an Agile software development lifecycle
From the employer’s posting
Lead and architect migrations of data using Databricks
Assess and understand ETL jobs, workflows, data marts, BI tools, and reports
Address technical inquiries concerning customization, integration, enterprise architecture
Support an Agile software development lifecycle
What you’ll bring
All qualificationsCore experience
- 5-7 years direct data engineering experience
- Databricks, SQL, PySpark/Python and AWS skills
- Ability to hold a US public trust position
- Experience with Delta Lake or Apache Iceberg lakehouse architecture
- Advanced SQL query authoring and optimization
Preferred experience
- Experience with data cataloging tools such as Informatica EDC, Unity Catalog, Collibra, Alation, Purview, or DataZone is a plus.
Qualification wording
5-7 years direct experience in Data Engineering
Key must have skill sets – Databricks, SQL, PySpark/Python, AWS
Ability to hold a position of public trust with the US government.
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)
Experience with data cataloging tools such as Informatica EDC, Unity Catalog, Collibra, Alation, Purview, or DataZone is a plus.
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.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 1, 20262 days ago
- Recorded sightings
- 4
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 2
Early. Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
Steampunk is hiring
51 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is picking up
- Takes jobs down at a usual pace
- 2% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- C++
- Java
- Python
- Scala
- SQL
- AWS
- Azure
- Databricks
- Delta Lake
- GCP
- MySQL
- S3
- Spark
- Airflow
- PySpark
- Iceberg
Where the posting names them
- 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
- 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
- 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.
- 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.
- 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
- 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.
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
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
- 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).
- 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).
- 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.
- 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.
Your next step
Complete your application on careers-steampunk.icims.com. The employer’s form will show what is required.
Applying through iCIMS
- You start with your email. New applicants then create a login, and returning ones sign in.
- Upload your resume before you fill anything in: iCIMS fills some profile fields from it.
- Check your status on the employer’s iCIMS Dashboard, under Past Job Submittals.
Already applied? Track this application
Has Steampunk posted this job before?
Yes. We’ve followed 4 other Senior Data Engineer - Databricks jobs there since May 2026. All 4 are still up.
Large employers often post one title for several teams, so these can be separate openings.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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
- Location & working pattern
McLean, VA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.