1

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

Senior Data Engineer

Arlington, VA · Hybrid

$108K - $146K/yr

Position : Senior Data Engineer Location: Alexandria, VA Work Environment: Hybrid Clearance ... This role demands a deep understanding of modern data engineering practices, cloud-native ...

Senior Data Engineer

Arlington, VA · On-site

$108K - $146K/yr

Position : Senior Data Engineer Location: Alexandria, VA Work Environment: Hybrid Clearance ... This role demands a deep understanding of modern data engineering practices, cloud-native ...

Senior Data Engineer

Chantilly, VA · On-site

$108K - $147K/yr

The Senior Data Engineer will leverage their strong technical background and knowledge to support ... High School Diploma/GED with 10+ years of progressively responsible experience data engineering ...

Senior Data Engineer

Chantilly, VA · On-site

$108K - $147K/yr

The Senior Data Engineer will leverage their strong technical background and knowledge to support ... High School Diploma/GED with 10+ years of progressively responsible experience data engineering ...

Sr. Data Scientist

Washington, DC · On-site

$103K - $240K/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 ...

Senior Data Engineer

Ashburn, VA · On-site

$108K - $147K/yr

The Systems and Data Engineering Services effort requires highly skilled systems support staff to ... ACTIVITIES & RESPONSIBILITIES The Senior Data Engineer will be responsible for developing and ...

Senior Data Engineer

Ashburn, VA · On-site

$108K - $147K/yr

We are seeking a highly skilled Senior Data Engineer to lead and execute critical engineering tasks ... The Systems and Data Engineering Services effort requires highly skilled systems support staff to ...

Senior Data Engineer

Ashburn, VA · On-site

$108K - $147K/yr

The Systems and Data Engineering Services effort requires highly skilled systems support staff to ... ACTIVITIES & RESPONSIBILITIES The Senior Data Engineer will be responsible for developing and ...

Data Engineer, Senior

Mclean, VA · On-site

$107K - $145K/yr

They are seeking a Senior Data Engineer to help build technology solutions and implement data ... Responsibilities : • Help build advanced technology solutions and implement data engineering ...

Data Engineer, Senior

Washington, DC · On-site

$116K - $157K/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 What we'd like you to ...

next page

Showing results 1-20

Senior Data Engineering information

See Reston, VA salary details

$17

$59

$84

How much do senior data engineering jobs pay per hour?

As of Jun 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, and why are they important?

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 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 Engineer

Senior Data Engineer

Knowesis Inc.

Arlington, VA • Hybrid

$108K - $146K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 2 days ago


Job description

Position: Senior Data Engineer
Location: Alexandria, VA
Work Environment:
Hybrid
Clearance Required:
Secret
Status: Contingent Upon Contract Award
Knowesis, Inc. is seeking a highly skilled and forward-thinking Senior Data Engineer to support the Department of Defense (DoD), Office of Inspector General (OIG), Office of the Chief Information Officer (OCIO). This key technical role will lead the design, development, and optimization of data pipelines, architectures, and analytics platforms that enable secure, scalable, and mission-aligned data operations across the enterprise. The Senior Data Engineer will collaborate closely with program leadership, cybersecurity teams, and business analysts to ensure data integrity, accessibility, and performance. This role demands a deep understanding of modern data engineering practices, cloud-native technologies, and federal data governance standards.

The DoD OIG mission is to detect and deter fraud, waste, and abuse in DoD programs and operations; promote the economy, efficiency, and effectiveness of the DoD; and help ensure ethical conduct throughout the DoD. The DoD OIG keeps the Secretary of Defense and the Congress informed of fraud, waste, abuse, and program deficiencies identified through its oversight work. The DoD OIG’s administrative and criminal investigators, auditors, evaluators, and support staff operate globally, conducting investigations, audits, evaluations, and mission support activities to accomplish the DoD OIG’s mission. The DoD OIG, OCIO is responsible for installing, maintaining, operating, and supporting all DoD OIG Information Technology (IT) systems and communication capabilities for approximately 2000 end users and over 60 locations around the globe. Due to the independence of the DoD OIG, the OCIO provides the full spectrum of IT services necessary to support the OIG mission including database support, storage management, transition management, application services, mobile device management, IT asset management, domain services, network transport, and service desk. 

To be eligible for this position, candidates must possess U.S. Citizenship without the need for sponsorship, both now and in the future. Applicants without proof of U.S. Citizenship will not be considered due to the position’s security clearance requirements.

 The Job Duties and Responsibilities include but are not limited to the following:  

  • Design, build, and maintain robust data pipelines and ETL/ELT processes to support enterprise reporting, analytics, and operational systems.
  • Develop and optimize data architectures that ensure scalability, performance, and security across structured and unstructured datasets.
  • Implement data integration solutions that align with DoD OIG OCIO’s modernization goals and support cross-functional interoperability.
  • Collaborate with stakeholders to translate business requirements into technical specifications and data models.
  • Ensure compliance with federal data governance, privacy, and security standards, including FISMA, NIST, and DoD directives.
  • Support the development of dashboards, reports, and visualizations by enabling clean, well-structured data delivery to downstream systems.
  • Conduct data profiling, cleansing, and validation to maintain high data quality and reliability.
  • Provide technical leadership and mentorship to junior data engineers and analysts.
  • Document data flows, architecture diagrams, and operational procedures to support transparency and continuity.
  • Participate in Agile ceremonies and contribute to sprint planning, backlog grooming, and iterative delivery cycles.
  • Identify opportunities for automation, performance tuning, and cost optimization across data platforms.

Required Qualifications:  

  • Bachelor’s degree from an accredited University or College in Computer Science, Data Science, Information Systems.
  • Minimum 8 years’ experience in strategic and operations planning and/or business analysis
  • Minimum 8 years’ experience in at least three disciplines, such as business, information, solution or technical architecture, application development, middleware, information analysis, database management or operations in a multitier environment
  • Proficiency in SQL, Python, and/or Scala for data manipulation and pipeline development.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and associated data services (e.g., Redshift, Snowflake, Databricks, BigQuery).
  • Strong understanding of data warehousing concepts, dimensional modeling, and real-time data streaming.
  • Familiarity with Agile development methodologies and DevOps practices.
  • Experience supporting federal or DoD programs, with knowledge of applicable data security and compliance frameworks.
  • Ability to communicate complex technical concepts clearly to non-technical stakeholders..

Preferred Qualifications:

  • Experience with tools such as Apache Spark, Kafka, Airflow, or similar orchestration frameworks.
  • Knowledge of CMMI, ITIL, and Agile delivery models in federal environments.
  • Familiarity with data visualization platforms (e.g., Power BI, Tableau) and business intelligence workflows.
  • Prior experience supporting system modernization or digital transformation initiatives.
  • Certifications in cloud architecture, data engineering, or Agile methodologies.
  • Experience supporting federal or DoD programs.
  • Master’s degree in Computer Science, Data Science, Information Systems.

Benefits:

  • Health (PPO & HDHP) Paid Time Off
  • Company Paid STD & LTD, and Basic Life Insurance
  • 401k Company Match
  • Paid Time Off
  • Multiple Voluntary Products  

Knowesis is committed to providing equal employment opportunities to all individuals based on merit and qualifications. We prohibit discrimination in all aspects of employment as required by Title VII of the Civil Rights Act and other applicable federal laws. Our company values all applicants and employees and fosters a work environment where everyone is treated with respect and dignity.