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Closed on October 18, 2026.
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Senior Data Engineer
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Job Description
Steampunk is a change agent in federal contracting, bringing new thinking to clients across Homeland and Federal Civil. In this onsite role in McLean, VA, you will help design and deliver enterprise-grade data platforms, services, and pipelines in Databricks, with a focus on leadership, reliability, and performance.
This position supports Steampunk’s AI & Data Exploitation Practice and centers on data engineering migrations, workflow and ETL assessment, and responsive technical collaboration with project teams and client stakeholders.
What you will do
- Lead and architect data migrations using Databricks, emphasizing performance, reliability, and scalability.
- Assess ETL jobs and understand workflows, data marts, BI tools, and reports.
- Respond to technical inquiries related to customization, integration, enterprise architecture, and the feature and functionality of data products.
- Support an Agile software development lifecycle.
- Contribute to the growth of Steampunk’s AI & Data Exploitation Practice.
What you bring
- Current ICE US Public Trust Clearance (Full Background Investigation).
- Ability to hold a position of public trust with the US government.
- 5 to 7 years industry experience coding commercial software, with a passion for solving complex problems.
- 5 to 7 years direct experience in Data Engineering with tools including:
- Databricks, Apache Spark, Delta Lake, and related big data tools
- Relational SQL (preferably T-SQL; alternatively pgSQL or MySQL)
- Data pipeline and workflow management tools such as Databricks Workflows, Airflow, or Step Functions
- AWS and Azure cloud services (for example, Databricks on AWS, S3, EC2, RDS)
- Object-oriented or scripting languages such as PySpark/Python, Java, C++, or Scala
- Experience with Data Lakehouse architecture, including Delta Lake and Apache Iceberg
- Advanced working knowledge of SQL, including query authoring and optimization, plus working familiarity with a variety of relational databases.
- Experience manipulating, processing, and extracting value from large, disconnected datasets.
- Ability to inspect existing data pipelines, determine purpose and functionality, and re-implement them efficiently in Databricks.
- Experience manipulating structured and unstructured data.
- Experience architecting data systems (transactional and warehouses).
- Experience with 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 supporting project teams of developers and data scientists building web-based interfaces, dashboards, reports, and analytics or machine learning models.
- Experience working in an Agile environment.
Salary and location
- Location: McLean, VA (onsite)
- Salary: USD 140,000 - 180,000 per year
- Minimum experience: 5 years
Identity verification
- During the application process, you are expected to be on camera during interviews and assessments.
- Steampunk may take your picture to verify your identity and prevent fraud.
Technologies
- Databricks, SQL, T-SQL, pgSQL, MySQL, PySpark, Python
- Apache Spark, Delta Lake, Databricks Workflows, Airflow, Step Functions
- AWS, Azure, S3, EC2, RDS
- Java, C++, Scala
- Data Lakehouse, Apache Iceberg
- Informatica EDC, Unity Catalog, Collibra, Alation, Purview, DataZone
- CI/CD, SDLC
Steampunk’s Human-Centered delivery methodology aims to change what federal clients expect from shared accountability when solving their toughest mission challenges.