ZipRecruiter

Log In

1

Sr Data Engineer Jobs in Virginia (NOW HIRING)

Ad Hoc LLC

Senior Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

Senior Data Engineer Job Number: 912 This is a remote position. Ad Hoc is a technology company that empowers organizations to deliver scalable, impactful digital services. Using modern, agile methods ...

New

Ad Hoc

Senior Data Engineer

Mclean, VA · Remote

$107K - $145K/yr

Senior Data Engineer Job Number: 912 This is a remote position. Ad Hoc is a technology company that empowers organizations to deliver scalable, impactful digital services. Using modern, agile methods ...

New

Elder Research

Senior Data Engineer

Arlington, VA · Hybrid

$122K - $165K/yr

Senior Data Engineer General Information Requisition # 683 Locations USA-VA-Arlington Posting Date 03/20/2026 Security Clearance Required - ACTIVE IRS MBI Remote Type Hybrid Time Type Full time ...

Elder Research

Senior Data Engineer

Arlington, VA · Hybrid

$121K - $165K/yr

Senior Data Engineer General Information Requisition # 683 Locations USA-VA-Arlington Posting Date 03/20/2026 Security Clearance Required - ACTIVE IRS MBI Remote Type Hybrid Time Type Full time ...

Elder Research

Senior Data Engineer

Arlington, VA · On-site

$122K - $165K/yr

Senior Data Engineer General Information Requisition # 683 Locations USA-VA-Arlington Posting Date 03/20/2026 Security Clearance Required - ACTIVE IRS MBI Remote Type Hybrid Time Type Full time ...

Elevance Health

Senior Data Engineer

Ashburn, VA · Hybrid

$108K - $147K/yr

Senior Data Engineer Senior Data Engineer Hybrid 1: This role requires associates to be in-office1 - 2days per week, fostering collaboration and connectivity, while providing flexibility to support ...

Elevance Health

Senior Data Engineer

Richmond, VA · Hybrid

$104K - $142K/yr

Senior Data Engineer Senior Data Engineer Hybrid 1: This role requires associates to be in-office1 - 2days per week, fostering collaboration and connectivity, while providing flexibility to support ...

Accord Technologies Inc.

Sr. Data engineer

Reston, VA · On-site

$119K - $143K/yr

Sr. Data engineer Location: Reston, VA Duration: long term Mandatory need: Candidate have to be ex-Fannie Mae, and they have to be able to work out of Reston, VA on a hybrid basis. Must Haves:

TriOptus LLC

Sr. Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

Job Title - Sr Data Engineer Location - (100% Remote) Duration: 12 Months + Extension Job Type: Contract Top 4 Spark Scala - Must 5 years with Spark Scala Python - Must AWS - Must (S3, Lambdas, EMR ...

Amyx, Inc.

Sr. Data (cProbe) Engineer

Fort Belvoir, VA · On-site

$119K - $162K/yr

The Sr Data Engineer will be required ensure design best practices are applied to the cPROBE data repositories and provide recommendations for improving performance, security, reliability and ...

Amyx, Inc.

Sr. Data (cProbe) Engineer

Fort Belvoir, VA

$119K - $162K/yr

The Sr Data Engineer will be required ensure design best practices are applied to the cPROBE data repositories and provide recommendations for improving performance, security, reliability and ...

Kanak Elite Services Inc

Senior Data Engineer

Arlington, VA · On-site

$121K - $165K/yr

Senior Data Engineer Location : Arlington, VA Hybrid (Need local candidates only within 30-40 miles) Duration : 6 months contract with possible extension Interview : 2nd round will be onsite * Must ...

SOSi

Senior Data Engineer

Chantilly, VA

$108K - $147K/yr

SOSi is seeking a highly skilled Senior Data Engineer to support a US government customer in Chantilly, VA. This role, requires working with a team of developers, data scientists, SMEs, and cyber ...

TekSynap

Senior Data Engineer

Ashburn, VA

$150K - $200K/yr

Responsibilities & Qualifications We are seeking a highly skilled Senior Data Engineer to lead and execute critical engineering tasks in support of an advanced visual analytic application. This role ...

SOSi

Senior Data Engineer

Chantilly, VA

$108K - $147K/yr

SOSi is seeking a highly skilled Senior Data Engineer to support a US government customer in Chantilly, VA. This role, requires working with a team of developers, data scientists, SMEs, and cyber ...

SOSi

Senior Data Engineer

Chantilly, VA · On-site

$108K - $147K/yr

SOSi is seeking a highly skilled Senior Data Engineer to support a US government customer in Chantilly, VA. This role, requires working with a team of developers, data scientists, SMEs, and cyber ...

TekSynap

Senior Data Engineer

Ashburn, VA

$150K - $200K/yr

We are seeking a highly skilled Senior Data Engineer to lead and execute critical engineering tasks in support of an advanced visual analytic application. This role requires a motivated and ...

TekSynap

Senior Data Engineer

Ashburn, VA · On-site

$150K - $200K/yr

Responsibilities & Qualifications We are seeking a highly skilled Senior Data Engineer to lead and execute critical engineering tasks in support of an advanced visual analytic application. This role ...

MasterCard

Senior Data Engineer

Arlington, VA · Hybrid

$132K - $212K/yr

Title and Summary Senior Data Engineer Overview: Mastercard Services Technology is seeking a Senior Data Engineer to contribute to the data management aspects of client engagements for Test & Learn ...

next page

Showing results 1-20

All JobsSr Data Engineer JobsSr Data Engineer Jobs in Virginia

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 Jul 26, 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 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 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.

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 Sr Data Engineers?

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.
What are popular job titles related to Sr Data Engineer jobs in Virginia? For Sr Data Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Sr Data Engineer jobs in Virginia look for? The top searched job categories for Sr Data Engineer jobs in Virginia are:
What cities in Virginia are hiring for Sr Data Engineer jobs? Cities in Virginia with the most Sr Data Engineer job openings:
Sr Data Engineer jobs near you
Infographic showing various Sr Data Engineer job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $125,245 per year, or $60.2 per hour.
Senior Data Engineer

Senior Data Engineer

Ad Hoc LLC

Mclean, VA • On-site

$107K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

Job description

Senior Data Engineer
Job Number: 912
This is a remote position.
Ad Hoc is a technology company that empowers organizations to deliver scalable, impactful digital services. Using modern, agile methods, our team creates products that meet people's needs and transform their experience of government.
Work on things that matter
Our collaborations have shaped some of the defining moments in public-sector service delivery. We've helped build products that connect Veterans to tailored services, help millions access affordable health care, and support important programs like Head Start. As we work with agencies to deliver critical services, we're also changing how the government approaches technology.
Built for a remote life
Our culture, communications, and tools are built for remote work, enabling us to bring together top talent nationwide. At Ad Hoc, remote life empowers our teams to design work environments that fit their lives and that foster flexibility and collaboration to achieve positive outcomes for our customers.
Committed to high expectations and a welcoming culture
Ad Hoc values acceptance, accountability, and humility. We aren't heroes. We learn from our mistakes and improve the process for the next time. We build small, inclusive teams to collaborate closely with our partners to solve the right problems and deliver software that works.
The Federal Civilian business unit supports many customers spanning the federal, commercial, and nonprofit space. Our customers include NASA, the General Services Administration, Office of Personnel Management, the Library of Congress, Health & Human Services, and the FDIC. We partner with these agencies to build new capabilities, deliver products, establish data as a strategic asset for informed decision-making, modernize legacy systems, and build the digital service infrastructure necessary to scale their mission impact.
Primary Responsibilities
Senior Data Engineer serves as an experienced individual contributor within a team, with the expectation that you will continue to develop your leadership, technical guidance, and mentoring skills. With minimal oversight from leadership, you will design, build, and optimize scalable data solutions that support business and customer needs while ensuring projects meet scope, schedule, and delivery commitments.
As a Senior Data Engineer, you will contribute to the long-term data strategy of the program, influence architectural decisions, and collaborate closely with software engineers, product managers, analysts, architects, and stakeholders to deliver reliable, secure, and scalable data platforms. You may serve as the primary data engineering lead for initiatives and utilize strong leadership and communication skills to drive improvements in data engineering processes, platform reliability, and engineering best practices.
Primary expectations of a Senior Data Engineer include:
  • Evaluate and recommend multiple technical approaches to solve complex data engineering and architecture challenges.
  • Design, develop, maintain, and optimize scalable data pipelines supporting both batch and real-time processing.
  • Design and implement robust ETL/ELT workflows that transform raw data into reliable, consumable datasets.
  • Build and maintain scalable data models, data warehouses, and cloud-native data architectures.
  • Develop solutions for structured, semi-structured, and unstructured data sources.
  • Generate data architecture recommendations and successfully implement approved solutions.
  • Ensure data quality, integrity, governance, lineage, security, and observability across data platforms.
  • Optimize database performance, query execution, storage strategies, and overall system scalability.
  • Diagnose and resolve production issues while implementing long-term improvements to increase system reliability and performance.
  • Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
  • Present technical designs, architecture diagrams, and implementation strategies to clients, stakeholders, partners, and engineering teams.
  • Champion data engineering best practices, coding standards, automation, and operational excellence.
  • Mentor junior engineers through technical guidance, code reviews, design discussions, and knowledge sharing.
  • Lead small projects or serve as the technical lead for data engineering initiatives when needed.
  • Effectively communicate technical challenges, risks, and progress with engineering teams, leadership, clients, and stakeholders.
  • Participate in technical interviews and contribute to hiring decisions.

Required Qualifications & Technical Skills
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical discipline with 7+ years of professional experience. Relevant years of experience may be substituted for formal education.
  • 7+ years of experience designing, building, and maintaining enterprise-scale data platforms and data pipelines.
  • Strong proficiency in SQL with experience developing, optimizing, and troubleshooting complex queries and large datasets.
  • Professional experience developing software and data solutions using Python, Java, Scala, or a comparable programming language.
  • Experience designing, developing, and maintaining ETL/ELT pipelines for batch and real-time data processing.
  • Experience working with cloud-based data platforms and services within AWS, Microsoft Azure, or Google Cloud Platform.
  • Experience with modern cloud data platforms such as Snowflake, Databricks, Amazon Redshift, Google BigQuery, or Azure Synapse Analytics.
  • Experience with relational database technologies such as PostgreSQL, SQL Server, Oracle, or MySQL, along with familiarity with NoSQL database solutions.
  • Experience with distributed data processing frameworks such as Apache Spark or equivalent big data technologies.
  • Strong understanding of data modeling, dimensional modeling, schema design, data warehousing, and database optimization.
  • Experience implementing data quality, validation, governance, metadata management, and data lineage best practices.
  • Experience working with structured, semi-structured, and unstructured data from multiple sources.
  • Experience with version control systems such as Git and CI/CD practices supporting data engineering workflows.
  • Understanding of data security, privacy, encryption, and access control principles.
  • Experience monitoring, troubleshooting, and optimizing production data systems for scalability, availability, and performance.
  • Experience working within Agile software development environments and collaborating across cross-functional engineering teams.
  • Strong analytical, troubleshooting, and problem-solving skills with the ability to make sound technical decisions.
  • Excellent written and verbal communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
  • Demonstrated ability to mentor junior engineers through code reviews, technical guidance, and knowledge sharing.
  • Ability to obtain and maintain a U.S. Public Trust clearance.

Preferred Qualifications
  • Experience supporting U.S. Federal Government programs or other highly regulated environments.
  • Experience with orchestration platforms such as Apache Airflow, Prefect, Azure Data Factory, or AWS Step Functions.
  • Experience with streaming technologies such as Apache Kafka, Amazon Kinesis, or Azure Event Hubs.
  • Experience using dbt or other modern data transformation frameworks.
  • Experience with Infrastructure as Code tools such as Terraform or AWS CloudFormation.
  • Experience working with Docker and Kubernetes in cloud-native environments.
  • Experience building analytics and business intelligence solutions using Tableau, Power BI, Looker, or similar visualization tools.
  • Existing Public Trust or higher security clearance.
  • Experience serving as a technical lead or mentoring engineers on enterprise-scale data initiatives.

To learn more about working at Ad Hoc, please visit:https://adhocteam.us/join
Benefits:
  • Company-subsidized health, dental, and vision insurance
  • Flexible PTO
  • 401K with employer match
  • Paid parental leave after one year of service
  • Employee Assistance Program

Ad Hoc LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination.
We value the unique skills gained through military service and encourage veterans and transitioning service members to apply.
In support of various state and city equal pay transparency laws, Ad Hoc job descriptions feature the starting range we reasonably expect to pay to candidates who would join our team with little to no need for training on the responsibilities we've outlined above. Actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, and responsibility. The range of starting pay for this role is $130,000-$140,000. Our recruiters will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements.
job reference:
https://adhoc.team/

Apply