Data Engineer Jobs in McLean, VA
Data Engineer jobs in McLean, Virginia are concentrated in the Tysons Corner corridor, the Route 123 business district, and downtown McLean itself, driven by federal contractors, defense intelligence firms, and financial services companies. Employers hiring right now include Capital One, Steampunk, and Booz Allen Hamilton. See the openings below and apply to the ones that match your experience.
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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 (AWS, 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!
- Current ICE US Public Trust Clearance (Full Background Investigation)
- 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 and Azure cloud services: e.g. Databricks on AWS, S3, EC2, RDS.
- 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
Identity Statement
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.
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 (AWS, 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!
- Current ICE US Public Trust Clearance (Full Background Investigation)
- 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 and Azure cloud services: e.g. Databricks on AWS, S3, EC2, RDS.
- 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
Identity Statement
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.
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Find Data Engineer JobsData Engineer Job Market in McLean
Who's Hiring
- Capital One105
- Steampunk45
- Booz Allen Hamilton37
- MITRE15
- Halvik15
Top Industries Hiring
- Banking & Financial Services
- Technology & Software
Data Engineer Jobs in McLean: Frequently Asked Questions
How do I get a data engineer job in McLean?
The strongest path into McLean's data engineering market runs through federal contracting and defense intelligence, which dominate hiring in and around the Tysons Corner and Route 123 corridors. Candidates with experience in cloud data platforms, pipeline architecture, or data warehousing stand out with McLean employers. Clearance-eligible candidates have a distinct edge, as many roles support government clients and require or prefer a security clearance.
Which companies hire data engineers in McLean?
McLean data engineer roles are posted by Capital One, Steampunk, and Booz Allen Hamilton and others right now, based on current listings on Migrate Mate as of September 2026. McLean attracts a mix of large federal contractors, defense and intelligence consulting firms, and financial services companies, all of which run substantial data engineering functions to support government and commercial clients.
Are there remote data engineer jobs in McLean?
Yes, though availability depends on the role type. About 46% of data engineer openings tied to McLean are remote or hybrid as of September 2026, reflecting how broadly data engineering work can be done off-site. That said, roles tied to classified federal contracts or on-premise government systems in the Tysons and McLean area typically require in-person presence.
How can I get a data engineer job in McLean with little or no experience?
The most realistic entry point in McLean is through associate or junior data engineer roles at mid-size federal contractors and consulting firms clustered near Tysons Corner, which often hire candidates from local universities or bootcamps and provide clearance sponsorship training programs. Roles like data analyst, BI developer, or ETL developer at these firms serve as strong lateral moves, and familiarity with SQL, Python, and cloud platforms like AWS or Azure gives entry-level candidates a concrete edge in local interviews.
Which industries hire the most data engineers in McLean?
The sectors hiring the most data engineers in McLean are Banking & Financial Services and Technology & Software, based on current listings on Migrate Mate as of September 2026. McLean's proximity to Washington, D.C. and the concentration of federal agency headquarters and defense contractors in Fairfax County makes government services and national security the primary engines of local data engineering demand.
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