Back to jobs

Senior Data Engineer - Databricks

McLean, VA

Pay
$140,000–180,000/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 $140,000 to $180,000. 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 setup
Unconfirmed
Employment
Unconfirmed
Apply at Steampunk

What you’ll bring

All qualifications

Core experience

  • Ability to obtain and maintain a U.S. government security clearance.
  • Bachelor's Degree and 8+ years of experience.
  • 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:
  • Experience working with Data Lakehouse architecture and Delta Lake/Apache Iceberg
  • Experience manipulating, processing, and extracting value from large, disconnected datasets.

Preferred experience

  • Experience with data cataloging tools such as Informatica EDC, Unity Catalog, Collibra, Alation, Purview, or DataZone is a plus.
Qualification wording
Ability to obtain and maintain a U.S. government security clearance.
Bachelor's Degree and 8+ years of experience.
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:
Experience working with Data Lakehouse architecture and Delta Lake/Apache Iceberg
Experience manipulating, processing, and extracting value from large, disconnected datasets.
Experience with data cataloging tools such as Informatica EDC, Unity Catalog, Collibra, Alation, Purview, or DataZone is a plus.

Tools in this posting

  • Java
  • Scala
  • SQL
  • AWS
  • Azure
  • Databricks
  • Delta
  • S3
  • Spark
  • Airflow
  • Python
  • C++
  • Google Cloud (GCP)
  • MySQL
  • Iceberg
  • PySpark
Source — Tool mentions in context
- 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. 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.
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.

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

Job description

View original posting ↗

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. 

 

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

  • 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 obtain and maintain a U.S. government security clearance.
  • Bachelor's Degree and 8+ years of experience. 
  • 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 $140,000 to $180,000.  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.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on careers-steampunk.icims.com. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected 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 $140,000 to $180,000. 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
Qualifications - Ability to obtain and maintain a U.S. government security clearance. - Bachelor's Degree and 8+ years of experience.
Status in our records
Active
First seen by us
Oct 6, 2026
Recorded sightings
5
Last seen by us
Oct 8, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Report an error

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.