Senior Data Engineer
Senior
Apache Airflow
AWS
Big Data
Bigdata
Cloud
Cloud Data Engineering
Cloud Platform
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Governance
Data Integration
Data Lake
Data Lakehouse
Data Management
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Security
Database
Databases
Databricks
Databricks Pyspark
Databricks Workflows
Dataops
Delta Lake
ETL
Informatica
Information Technology (IT)
Programming Languages
Pyspark
Spark
SQL
Step Functions
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.