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Senior Data Engineering Jobs in Reston, VA (NOW HIRING)

540

Senior Data Engineer

Arlington, VA · On-site

$121K - $165K/yr

You will define engineering standards, guide technical delivery, and mentor engineers while ... Senior Data Engineer WHY 540? 540 is a forward-thinking company that the government turns to in ...

540

Senior Data Engineer

Arlington, VA · On-site

$121K - $165K/yr

You will define engineering standards, guide technical delivery, and mentor engineers while ... Senior Data Engineer WHY 540? 540 is a forward-thinking company that the government turns to in ...

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 ... Experience with Python for data engineering and ETL development. * Strong experience in SQL for ...

K.L. Scott & Associates

Senior Data Analyst

Washington, DC · On-site

$97K - $122K/yr

... engineering, systems integration, and user-centered design to help clients translate complex ... Senior Data Analyst The Senior Data Analyst will serve as a senior technical and analytical ...

Bigbear.ai

Data Engineer, Senior

Washington, DC

$142K - $171K/yr

Deep experience using various data engineering tools and technologies (SQL, NoSQL, HPC, etc.) and of the ETL process, especially as it pertains to US Government customer systems

NAVA Software Solutions

Sr. Data Engineer

Washington, DC · On-site

$129K - $156K/yr

Details: Sr. Data Engineer Location: Washington DC (1-2 days/month onsite) / 100% remote is also ok ... and Engineering Technologies team and will be filling in for a data engineer must be able to ...

HRC Global Services

Senior Data Architect

Reston, VA · Remote

$68.75 - $92/hr

Senior Data Architect Location: United States (Hybrid/Remote as per project requirements ... Collaborate with engineering teams on CI/CD and Infrastructure as Code * Mentor junior and mid ...

Bigbear.ai

Sr. Data Scientist

Washington, DC

$140K - $215K/yr

Overview BigBear.ai is seeking a Senior Data Scientist to conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis using scientific ...

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All JobsData Engineering JobsSenior Data Engineering JobsSenior Data Engineering Jobs in Reston, VA

Senior Data Engineering information

See Reston, VA salary details

$17

$59

$84

How much do senior data engineering jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for senior data engineering in Reston, VA is $59.11, according to ZipRecruiter salary data. Most workers in this role earn between $48.51 and $70.00 per hour, depending on experience, location, and employer.

What is a senior data engineer?

A Senior Data Engineer is an experienced professional who designs, builds, and maintains scalable data systems and infrastructure within an organization. They are responsible for developing robust data pipelines, ensuring data quality, and optimizing data workflows to support analytics and business intelligence needs. Senior Data Engineers often mentor junior team members, collaborate with data scientists and analysts, and help establish best practices for data management. Their expertise enables organizations to efficiently store, process, and analyze large volumes of data for strategic decision-making.

What is the difference between Senior Data Engineering vs Data Engineer?

AspectSenior Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience in data pipelines, cloud platformsBachelor's in CS or related field, foundational data skills
Work EnvironmentDesigning complex data systems, mentoring juniors, optimizing pipelinesBuilding and maintaining data pipelines, data ingestion, basic ETL tasks
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, mid-sized companies, tech firms

Senior Data Engineers typically have more experience, handle complex data architecture, and mentor teams, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but Senior Data Engineers often take on leadership and strategic responsibilities.

What are the key skills and qualifications needed to thrive as a senior data engineer?

To thrive as a Senior Data Engineer, you need deep expertise in data modeling, ETL processes, programming (often Python, Java, or Scala), and a strong background in computer science or a related field. Proficiency with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms such as AWS, Azure, or GCP is typically required, along with relevant certifications. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior engineers. These skills ensure reliable, scalable data infrastructure that supports business intelligence and decision-making across the organization.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have expertise in tools like SQL, Python, and cloud platforms, which can influence compensation levels.

How does a senior data engineer typically collaborate with data scientists and analysts on projects?

As a Senior Data Engineer, you will frequently work alongside data scientists and analysts to design, build, and optimize data pipelines and infrastructure that support complex analytics and machine learning initiatives. Collaboration often involves translating business or analytical requirements into scalable data solutions, ensuring data quality, and enabling efficient access to large datasets. Regular communication and agile teamwork are essential, as you'll often participate in cross-functional meetings to align on project goals, resolve data issues, and support the deployment of analytical models into production environments.
What are the most commonly searched types of Data Engineering jobs in Reston, VA? The most popular types of Data Engineering jobs in Reston, VA are:
What are popular job titles related to Senior Data Engineering jobs in Reston, VA? For Senior Data Engineering jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineering jobs in Reston, VA look for? The top searched job categories for Senior Data Engineering jobs in Reston, VA are:
Senior Data Engineering jobs near you
Infographic showing various Senior Data Engineering job openings in Reston, VA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $122,939 per year, or $59.1 per hour.

Senior Data Engineer with Security Clearance

Karthik Consulting, LLC

Washington, DC • On-site

$205K/yr

Other

Posted 22 days ago

Job description

For more than a decade, Karthik Consulting has been a reliable and trusted advisor to our Government customers, providing independent and unbiased recommendations and solutions to mitigate risk and help solve IT issues. We bring the innovation, passion, and agility of the commercial sector to meet the unique challenges of this competitive space. Karthik Consulting is seeking Senior Data Engineer with the below skillset. Senior Data Engineer
Fulltime with Karthik Consulting
Location: Washington, DC
Clearance: TS/SCI
Salary: $205000 per year Program Description POSITION SUMMARY The Senior Data Engineer leads ETL/ELT dependencies, readiness-system integrations, data mappings, transformation logic, repository coordination, and versioned engineering documentation for A2FF ISR readiness data products. The role supports DRRS, DEERS, Envision, ASERT, and other Government-designated readiness data sources by developing reliable data pipelines, maintaining source-to-target traceability, documenting processing logic, supporting quality checks, and ensuring engineering outputs are ready for Government review and downstream analytic, dashboard, and reporting use. This position is contingent based on award. PROGRAM CONTEXT PROGRAM DESCRIPTION The A2FF ISR Readiness Data Engineering and Dashboard Modernization Support task order supports HAF/A2 - A2FF Readiness Branch in developing, sustaining, and modernizing ISR readiness analytics and dashboard capabilities. The program supports updated ETL/ELT pipelines, readiness-system integrations, predictive analytics and LLM documentation, dashboard releases, stakeholder coordination materials, data governance artifacts, technical documentation, and process improvement recommendations. PROGRAM SCOPE
The program scope includes data engineering, source-system integration, data mappings, transformation logic, analytic workflows, data-quality checks, repository-based documentation, dashboard modernization, predictive analytics support, stakeholder reporting, and senior leader readiness decision-support products across AF/DoD/IC readiness stakeholders. KEY RESPONSIBILITIES READINESS DATA INTEGRATION AND SOURCE SYSTEM ENGINEERING
• Lead technical engineering support for updated and fully functional data integrations across DRRS, DEERS, Envision, ASERT, and other Government-designated readiness systems.
• Analyze source-system dependencies, data availability, access constraints, integration points, refresh requirements, and downstream analytic or dashboard impacts.
• Develop, maintain, and update source-to-target data mappings that identify data elements, authoritative sources, transformation rules, business logic, and readiness product dependencies.
• Coordinate with readiness, data governance, dashboard, and analytic personnel to ensure integrated data products support repeatable readiness assessments and decision-support outputs. ETL/ELT PIPELINE DEVELOPMENT AND REPOSITORY DISCIPLINE
• Develop, update, test, and maintain ETL/ELT pipelines supporting readiness data collection, transformation, integration, and delivery into Government-approved environments and repositories.
• Commit pipeline updates, scripts, configuration files, engineering documentation, and versioned artifacts to Government-approved repositories in accordance with task order direction.
• Document pipeline dependencies, transformation logic, assumptions, known limitations, test results, release notes, and implementation status so engineering changes remain traceable and supportable.
• Support monthly ETL/ELT pipeline and documentation deliverables by providing repo commits, Word/PDF documentation, status inputs, and technical explanations as required. ANALYTIC WORKFLOW SUPPORT, DATA QUALITY, AND AUTOMATION CHECKS
• Support updated analytic workflows by documenting processing steps, engineering logic, data dependencies, quality checks, exception handling, and audit considerations.
• Implement or support automated checks that assess completeness, consistency, validity, timeliness, transformation accuracy, and alignment with approved business rules.
• Identify data-quality issues, integration defects, missing values, mapping conflicts, and transformation anomalies that may affect readiness assessments, dashboards, or reporting products.
• Provide technical inputs to data quality assessment reports, remediation recommendations, process improvement summaries, and engineering risk discussions. DASHBOARD, ANALYTICS, AND DATA PRODUCT ENABLEMENT
• Provide reliable engineered data products that support dashboard components, visualizations, trend analysis, forecasting, degradation assessment, stakeholder reporting, and senior leader decision support.
• Coordinate with Data Visualization / BI Developers to ensure dashboard releases are supported by current data feeds, accurate mappings, validated transformation logic, and clear engineering notes.
• Support Data Scientist / AI-ML Analyst requirements by ensuring downstream analytic products use documented, reliable, and appropriately prepared readiness data inputs.
• Incorporate Government-provided feedback into updated data products, pipeline logic, mappings, and engineering documentation within required delivery timelines. ROLE-SPECIFIC DELIVERABLE OWNERSHIP
• Own role-level inputs for ETL/ELT pipeline updates, readiness-system integrations, data mappings, transformation logic, repository commits, engineering documentation, and technical status inputs.
• Prepare clear technical explanations, engineering summaries, implementation notes, and issue inputs for Monthly Status Reports, technical meeting minutes, action trackers, and Government briefings.
• Operate in accordance with classified-environment requirements, DD Form 254 direction, Government-approved tools, repository procedures, and non-personal services boundaries.
• Maintain focus on data engineering, integration, transformation logic, repositories, and documentation; this role does not own final Government readiness determinations, policy decisions, or analytic interpretations. QUALIFICATIONS EDUCATION Bachelor's degree preferred in Computer Science, Data Engineering, Information Technology, Software Engineering, Systems Engineering, Data Analytics, Cybersecurity, or a STEM-related field. Equivalent senior-level DoD, IC, data engineering, software engineering, systems integration, or mission-data experience may substitute. PROFESSIONAL CERTIFICATIONS Preferred: Security+ CE or equivalent DoD 8140/8570 foundational certification when required for access or privileged environments. Cloud, data engineering, database, DevSecOps, or data platform certifications preferred, such as AWS Certified Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, Databricks, SnowPro, Oracle, PostgreSQL, or equivalent. Agile, SAFe, Scrum, DataOps, DevSecOps, ITIL, or Lean Six Sigma certification preferred where relevant to engineering delivery, process improvement, or technical coordination. MINIMUM QUALIFICATIONS Active TS/SCI clearance.
8+ years of data engineering, ETL/ELT development, systems integration, software engineering, database engineering, or mission-data experience, preferably in DoD, IC, Air Force, ISR, or classified environments.
Experience developing, updating, and maintaining ETL/ELT pipelines, data integrations, transformation logic, data mappings, and engineering documentation for enterprise or mission systems.
Strong experience with SQL, Python or similar scripting languages, data modeling, data transformation, data validation, APIs, file-based data exchange, and repository-based version control such as Git.
Experience documenting source-to-target mappings, business rules, transformation logic, data dependencies, pipeline assumptions, known limitations, test results, release notes, and implementation status.
Experience supporting data quality checks for completeness, consistency, timeliness, validity, transformation accuracy, lineage, and fitness for analytic or dashboard use.
Experience coordinating with dashboard developers, data scientists, governance analysts, mission SMEs, and Government stakeholders to ensure engineered data products support reporting, visualization, and analytics needs.
Strong written and verbal communication skills with the ability to explain technical data engineering issues, dependencies, risks, and recommendations to technical and non-technical stakeholders. PREFERRED QUALIFICATIONS Master's degree in Computer Science, Data Engineering, Information Technology, Data Analytics, Systems Engineering, Cybersecurity, or a STEM-related field.
Experience supporting HAF/A2, AF A2/6, AF IC, MAJCOM, Combatant Command, OSD, Joint Staff, ODNI, or other DoD/IC headquarters-level mission environments.
Familiarity with ISR readiness, readiness reporting, DRRS, DEERS, Envision, ASERT, MET/METL support, GFMB reporting, senior leader dashboards, or similar readiness/data systems.
Experience with modern data platforms, cloud or hybrid environments, data lakes, warehouses, lakehouses, orchestration tools, API integration, DevSecOps pipelines, DataOps practices, and automated data-quality controls.
Experience working in classified or multi-classification environments, including awareness of NIPR/SIPR/JWICS considerations, cross-domain deployment constraints, and Government-approved repository procedures.
Ability to operate effectively in stakeholder-heavy, deadline-driven environments where engineering traceability, documentation quality, and data confidence are critical to mission execution. CORE COMPETENCIES ACCOUNTABILITY & OWNERSHIP
Owns engineering outputs, pipeline documentation, integration traceability, repository discipline, and technical delivery inputs for assigned readiness data products. COMMUNICATION & COLLABORATION
Communicates clearly with Government, KC, analytics, visualization, governance, readiness, and stakeholder teams to resolve engineering dependencies. ANALYTICAL T

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