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Sr Data Engineer Jobs in Virginia (NOW HIRING)

Senior Data Engineer

Mclean, VA · On-site

$140K - $180K/yr

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. We are looking for more than just ...

Senior Data Engineer

Richmond, VA · On-site

$133 - $172/hr

Senior Data Engineer CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces.Included in the S&P 500 Index ...

Senior Data Engineer

Mclean, VA · On-site

$140K - $180K/yr

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. We are looking for more than just a "Senior ...

Senior Data Engineer

Richmond, VA · On-site

$104K - $142K/yr

Senior Data Engineer CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces.Included in the S&P 500 Index ...

Senior Data Engineer

Richmond, VA · On-site

$104K - $142K/yr

Senior Data Engineer CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces.Included in the S&P 500 Index ...

Dark Wolf is seeking a Senior Data Engineer to design, build, and optimize robust data pipelines, data warehouses, and streaming solutions. You will be responsible for integrating heterogeneous data ...

Senior Data Engineer

Chantilly, VA · On-site

$130K - $170K/yr

Dark Wolf is seeking a Senior Data Engineer to design, build, and optimize robust data pipelines, data warehouses, and streaming solutions. You will be responsible for integrating heterogeneous data ...

Senior Data Engineer

Chantilly, VA · On-site

$109K - $148K/yr

Overview VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator between business needs and technical solutions. Must be able to work creatively and efficiently to ...

Senior Data Engineer

Mclean, VA · On-site

$140K - $180K/yr

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. We are looking for more than just ...

Senior Data Engineer

Herndon, VA · On-site

$130K - $170K/yr

Dark Wolf is seeking a Senior Data Engineer to design, build, and optimize robust data pipelines, data warehouses, and streaming solutions. You will be responsible for integrating heterogeneous data ...

Senior Data Engineer/Architect

Richmond, VA · On-site

$61.75 - $82.75/hr

Senior Data Engineer/Architect Our client, a forward thinking insurance company, is seeking a talented Senior Data Engineer/Architect to join their team, hit the ground running, and help drive to ...

Senior Data Engineer 5489

Reston, VA · On-site

$110K - $149K/yr

Senior Data Engineer 5489 Location: Reston, VA (Onsite 3 Days Per Week) Compensation: Target Compensation ~$175K Base + Bonus Employment Type: Full-Time. W2 Only, No sponsorship available Tier4 Group ...

Senior Data Engineer

Herndon, VA · On-site

$109K - $148K/yr

Overview VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator between business needs and technical solutions. Must be able to work creatively and efficiently to ...

Senior Data Engineer

Chantilly, VA · On-site

$109K - $148K/yr

Overview VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator between business needs and technical solutions. Must be able to work creatively and efficiently to ...

Senior Data Engineer

Herndon, VA · On-site

$120 - $160/hr

Senior Data Engineer Location: Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES * Provide authoritative expertise on data engineering methods and best practices ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Python Pyspark node.js vue.js AWS EMR/Glue Lambda S3 SNS DynamoDB Databricks Description: Sr. Data Engineer Leads meetings with internal customers to determine data needs Requirements mapping and ...

Senior Data Engineer

Crystal City, VA · Hybrid

$121K - $164K/yr

Job Overview We are seeking a Senior Data Engineer to support our Federal Government Customer with delivering secure, cloud-based mission systems. The Engineer will own the end-to-end technical ...

Senior Data Engineer

Crystal City, VA · On-site

$121K - $164K/yr

Job Overview We are seeking a Senior Data Engineer to support our Federal Government Customer with delivering secure, cloud-based mission systems. The Engineer will own the end-to-end technical ...

Senior Data Engineer

Crystal City, VA · Hybrid

$121K - $164K/yr

Job Overview We are seeking a Senior Data Engineer to support our Federal Government Customer with delivering secure, cloud-based mission systems. The Engineer will own the end-to-end technical ...

Sr. Data Engineer

Reston, VA · On-site

$110K - $149K/yr

We're looking for a Senior Data Engineer to design and implement AI features end to end -- from data pipelines through GenAI and agentic workflows to production deployment. In this role, you'll build ...

Showing results 41-60

Sr Data Engineer information

See Virginia salary details

$80.3K

$125.2K

$173.5K

How much do sr data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for sr data engineer in Virginia is $125,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $142,800.00 per year, depending on experience, location, and employer.

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What are the key skills and qualifications needed to thrive as a Sr data engineer, and why are they important?

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

What cities in Virginia are hiring for Sr Data Engineer jobs?

Cities in Virginia with the most Sr Data Engineer job openings:

Infographic showing various Sr Data Engineer job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $125,245 per year, or $60.2 per hour.

Senior Data Engineer

Steampunk

Mclean, VA • On-site

$140K - $180K/yr

Other

Re-posted 23 days ago


Job description

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. 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 migration of data environments with performance and reliability
  • Assess and understand the ETL jobs, workflows, BI tools, and reports
  • Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products
  • Experience in crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP)
  • Support an Agile software development lifecycle
  • You will contribute to the growth of our Data Exploitation Practice!

Qualifications
  • Ability to hold a position of public trust with the US government
  • Bachelor's degree and 10+ years of work experience; OR
    • Master's degree and 8+ years of work experience; OR
    • Associate's degree and 12+ years of work experience; OR
    • No degree and 14+ years of work experience
  • Experience in Data Engineering, building scalable data pipelines and platforms.
  • Strong programming experience in Python, Java, or Scala.
  • Advanced SQL expertise, including query optimization, data modeling, and working with large-scale relational databases.
  • Hands-on experience with both relational (e.g., PostgreSQL) and NoSQL databases (e.g., Cassandra, DynamoDB, MongoDB).
  • Proven experience designing and building end-to-end data pipelines that ingest, transform, and unify data from multiple disparate sources.
  • Experience working with structured, semi-structured, and unstructured data (e.g., JSON, logs, documents, PDFs), including parsing and normalization.
  • Experience with data pipeline orchestration tools such as Airflow, Luigi, or equivalent.
  • Strong understanding of data architecture patterns, including layered approaches such as Medallion Architecture (Bronze/Silver/Gold).
  • Experience designing unified data platforms that consolidate data from multiple formats and sources into an analytics-ready foundation.
  • Experience with data modeling, schema design, and handling schema evolution.
  • Experience with cloud platforms, preferably AWS (e.g., S3, Glue, EMR, Lambda, Redshift), or equivalent.
  • Experience ensuring data quality, integrity, and reliability, including validation and monitoring practices.
  • Ability to work with large, complex, and disconnected datasets and derive meaningful structure.
  • Experience working in Agile environments and collaborating with cross-functional teams.

Preferred:
  • Experience with search and indexing technologies such as Elasticsearch, OpenSearch, Solr, or Lucene.
  • Experience integrating legacy systems with modern cloud-based data platforms, including data migration and transformation.
  • Familiarity with data governance, lineage, and metadata management practices.
  • Experience building data systems that support user-facing applications, analytics platforms, or search systems.
  • Experience working in design-driven, cross-functional teams (product, UX, engineering).
  • Experience supporting AI/ML workflows, including feature engineering and data preparation.

Nice to Have:
  • Experience with vector databases and embeddings for semantic search or retrieval use cases (e.g. Weaviate, Pinecone, PostgreSQL pgvector).
  • Familiarity with LLM-powered systems, including Retrieval-Augmented Generation (RAG) or natural language search.
  • Experience with graph databases (e.g., Neo4j, Amazon Neptune) and modeling complex relationships.
  • Experience designing systems for modern search or information retrieval use cases.
  • Experience with CI/CD pipelines and modern DevOps practices.
  • Experience with distributed data processing frameworks such as Spark (PySpark preferred).
  • Familiarity with streaming or real-time data processing (e.g., Kafka, Spark Streaming).

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.