Data Engineering Team Lead
Steampunk
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McLean, VA · Posted October 1, 2026
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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)
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About the job
Overview
We are looking for a seasoned Data Engineering Team Lead to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines. We are looking for more than just a "Data Engineering Team Lead", we need a technologist with excellent communication and customer service skills and a passion for data, problem solving, and mentorship.
Contributions
Lead, mentor, and provide technical oversight for a team of data engineers, ensuring successful delivery of complex data environment migrations with optimal performance and reliability.
Oversee and guide the assessment, design, and optimization of ETL processes, workflows, business intelligence tools, and reporting solutions.
Act as the primary technical liaison for addressing strategic inquiries related to data product customization, integration strategies, enterprise architecture alignment, and overall functionality.
Define best practices and technical standards for cloud-based database and data warehousing solutions leveraging platforms such as AWS, Azure, or GCP.
Lead the design, development, and optimization of scalable data solutions using Databricks.
Leverage Microsoft Purview to support data cataloging, lineage, metadata management, and integration across the data environment.
Set technical direction, conduct code reviews, and coach team members.
Facilitate Agile methodologies and development practices across the data engineering team, coordinating sprints, backlog grooming, and iterative delivery cycles.
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 10+ years of total experience.
8+ years of direct experience in Data Engineering, including experience with tools such as:
Big data tools: Hadoop, Spark, Kafka, etc.
Relational SQL and NoSQL databases, including Postgres and Cassandra.
Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Cloud services across AWS, Azure, or GCP.
Data streaming systems: Storm, Spark-Streaming, etc.
Search tools: Solr, Lucene, Elasticsearch.
Programming and scripting languages: Python, Java, C++, Scala, etc.
Experience with Microsoft Purview.
Experience with Databricks.
Experience with Wiz or similar cloud security platforms, such as Palo Alto Cortex, preferred.
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 with message queuing, stream processing, and highly scalable ‘big data’ data stores.
Experience manipulating and processing large, disconnected structured and unstructured datasets to support analysis and extract value.
Experience constructing complex queries to analyze results using databases or in a data processing development environment.
Experience with data modeling tools and processes.
Experience architecting transactional data systems and data warehouses.
Experience aggregating results and/or compiling information for reporting from multiple datasets.
Experience working in an Agile environment.
Experience mentoring and coaching Data Engineers.
Experience supporting project teams of developers and data scientists building 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 $130,000 to $160,000. 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.