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Senior Data Engineer Python Jobs in Reston, VA (NOW HIRING)

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 ... Python experience is a plus. * Develop data ETL pipelines that meets both the functional and non ...

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 ...

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 ... Databricks * Python, SQL Ideal Candidate Qualifications: * 5+ years of full stack engineering ...

Senior Data Engineer

Arlington, VA · Hybrid

$121K - $165K/yr

Senior Data Engineer General Information Requisition # 683 Locations USA-VA-Arlington Posting Date ... Proficiency with SQL, Python, and data engineering frameworks used in analytics development.

Senior Data Engineer

Arlington, VA · On-site

$121K - $165K/yr

Senior Data Engineer General Information Requisition # 683 Locations USA-VA-Arlington Posting Date ... Proficiency with SQL, Python, and data engineering frameworks used in analytics development.

Senior Data Engineer

Arlington, VA · Remote

$121K - $165K/yr

540 is seeking a Senior Data Engineer to support a mission-critical federal health data ... Advanced proficiency with Python and SQL * Strong experience with Apache Spark and distributed data ...

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

Arlington, VA · On-site

$121K - $165K/yr

540 is seeking a Senior Data Engineer to support a mission-critical technology modernization effort ... Architect automated ETL/ELT pipelines using Python, SQL, PySpark, Apache Spark, and Delta Lake

Senior Data Engineer

Arlington, VA · On-site

$121K - $165K/yr

540 is seeking a Senior Data Engineer to support a mission-critical technology modernization effort ... Architect automated ETL/ELT pipelines using Python, SQL, PySpark, Apache Spark, and Delta Lake

Senior Data Engineer

Chantilly, VA · On-site

$109K - $148K/yr

Job Summary : VTG is seeking a talented and experienced Senior Data Engineer to serve as an ... in Python and SQL to condition and normalize both raw and structured data, enhancing its usability ...

Senior Data Engineer

Washington, DC · On-site +1

$120K - $163K/yr

Actifai is seeking experienced Senior Data Engineers. The Company Actifai is an AI company helping ... Proven ability in writing clean, scalable code with significant programming experience in Python ...

Senior Data Engineer

Washington, DC · Remote

$108K - $147K/yr

Actifai is seeking experienced Senior Data Engineers. The Company Actifai is an AI company helping ... Proven ability in writing clean, scalable code with significant programming experience in Python ...

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Senior Data Engineer Python information

See Reston, VA salary details

$84.3K

$131.4K

$182.1K

How much do senior data engineer python jobs pay per year?

As of Aug 25, 2026, the average yearly pay for senior data engineer python in Reston, VA is $131,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,300.00 and $149,800.00 per year, depending on experience, location, and employer.

What does a senior data engineer python do?

A Senior Data Engineer Python is responsible for designing, building, and maintaining complex data pipelines and architectures using Python as a primary programming language. They work with large datasets, ensuring data is collected, stored, and processed efficiently to support analytics and business intelligence. Their role often includes optimizing data workflows, collaborating with data scientists, and implementing data quality and security best practices. Senior Data Engineers also mentor junior team members and may help define data engineering strategies for their organization.

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

To thrive as a Senior Data Engineer Python, you need deep expertise in Python programming, data modeling, and ETL pipeline design, often supported by a degree in computer science or a related field. Familiarity with big data frameworks (such as Spark or Hadoop), cloud platforms (like AWS, GCP, or Azure), and relevant certifications are highly valued. Strong problem-solving, communication, and leadership skills enable effective collaboration and project delivery in cross-functional teams. These competencies are crucial for building robust, scalable data solutions that drive business insights and operational efficiency.

How does a senior data engineer python typically collaborate with data scientists and other engineering teams?

A Senior Data Engineer working with Python often plays a central role in bridging the gap between data science and engineering teams. They design and maintain robust data pipelines that ensure clean, reliable data is available for analytics and machine learning projects. Collaboration involves frequent communication with data scientists to understand data requirements and with software engineers to integrate data solutions into production systems. This multidisciplinary teamwork helps streamline project workflows and drives the development of scalable data solutions across the organization.

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

AspectSenior Data Engineer PythonData Engineer Python
Required Experience5+ years, leadership skills1-3 years, foundational skills
ResponsibilitiesDesigning architecture, mentoring, complex data pipelinesBuilding data pipelines, data collection, basic ETL tasks
CertificationsRelevant certifications (e.g., AWS, GCP)Entry-level certifications preferred
Work EnvironmentCross-functional teams, project leadershipData teams, development environment

Senior Data Engineer Python roles typically require more experience, leadership, and complex project responsibilities compared to Data Engineer Python roles, which focus on building and maintaining data pipelines with less emphasis on leadership.

What are popular job titles related to Senior Data Engineer Python jobs in Reston, VA?

For Senior Data Engineer Python jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer Python jobs in Reston, VA look for?

The top searched job categories for Senior Data Engineer Python jobs in Reston, VA are:

Infographic showing various Senior Data Engineer Python job openings in Reston, VA as of August 2026, with employment types broken down into 68% Full Time, and 32% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $131,426 per year, or $63.2 per hour.

Data Engineer / Python & SQL Developer

Washington, DC • Remote

$57 - $78.50/hr

Full-time

Posted 6 days ago


Job description

Data Engineer / Python & SQL Developer

Our client is seeking a highly qualified Data Engineer / Python & SQL Developer to support the design, development, and deployment of data engineering and ETL solutions in a mission-focused environment. This role requires advanced expertise in Python and SQL, with demonstrated experience developing scalable data pipelines, cloud-based integrations, and backend data processing solutions using AWS services. The ideal candidate will also bring strong database design capabilities, technical documentation skills, and experience working within Agile delivery environments.

Location: Remote (Preference for Dayton, OH or Washington, DC Metro Area)

Key Responsibilities:

  • Design, develop, enhance, and maintain data pipelines, ETL workflows, and backend data processing solutions using Python and SQL
  • Implement and support cloud-based data engineering solutions leveraging AWS Lambda, AWS Glue, Amazon S3, and related AWS services
  • Design and maintain database schemas, tables, data models, and stored procedures
  • Apply database design best practices, including normalization, performance optimization, data integrity, and scalable architecture
  • Analyze business and technical requirements and translate them into secure, scalable, and maintainable data solutions
  • Develop and maintain technical documentation, including solution documentation, interface specifications, data flow diagrams, and operational procedures
  • Participate in Agile ceremonies and delivery activities, including backlog management, sprint planning, status tracking, and issue resolution using Jira
  • Troubleshoot and resolve data quality, integration, ETL, and performance issues across the solution environment
  • Test ETL pipelines and data workflows to validate functionality, reliability, and data quality
  • Perform peer code reviews for other Data Engineers and provide technical guidance as appropriate
  • Collaborate with developers, architects, analysts, program leadership, and other cross-functional stakeholders to support successful delivery outcomes

Required Skills:

Experience:

  • Proven advanced or expert-level experience developing solutions using Python and SQL
  • Hands-on experience designing, developing, and maintaining ETL pipelines and data workflows
  • Experience with AWS Lambda, AWS Glue, Amazon S3, and related cloud data integration technologies
  • Experience with database design, schema development, data modeling, table design, and stored procedure scripting
  • Experience troubleshooting data quality, integration, and performance issues
  • Experience testing ETL pipelines and conducting code reviews
  • Consultant/Senior Consultant or USDC/PDM/Specialist equivalent experience

Skills:

  • Strong understanding of database design and data architecture best practices
  • Strong Python development and SQL scripting capabilities
  • Ability to design scalable, maintainable, and secure data engineering solutions
  • Ability to produce clear and structured technical documentation for development and operational use
  • Strong analytical, troubleshooting, problem-solving, and communication skills
  • Ability to work independently and collaboratively in a fast-paced, deadline-driven environment

Desired:

  • Prior experience supporting the Department of Defense (DoD) or U.S. Air Force programs
  • Experience working in complex enterprise data environments with multiple upstream and downstream integrations
  • Experience supporting mission-oriented technology programs
  • Experience working within secure or controlled government environments

Credentials / Clearance:

  • Ability to meet applicable government security and access requirements