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Sr Data Engineer Jobs in Reston, VA (NOW HIRING)

ANALYTICA

Senior Data Engineer

Washington, DC · On-site

$120K - $163K/yr

Analytica is seeking a Senior Data Engineer to support large-scale Health care data modernization and analytics initiatives. This role is responsible for designing, building, optimizing, 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 ...

540

Senior Data Engineer

Arlington, VA

$121K - $165K/yr

540 is seeking a Senior Data Engineer to support a mission-critical technology modernization effort for the Department of War. You will lead the design and evolution of Databricks-based data ...

540

Senior Data Engineer

Arlington, VA

$121K - $165K/yr

540 is seeking a Senior Data Engineer to support a mission-critical technology modernization effort for the Department of War. You will lead the design and evolution of Databricks-based data ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Range

Senior Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

About the role As a Senior Data Engineer at Range, you'll be the technical owner of Range's data infrastructure at a pivotal moment. We've grown organically and have different warehouses and a ...

VT Group (VTG)

Senior Data Engineer

Chantilly, VA · On-site

$109K - $148K/yr

VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator between business needs and technical solutions. In this dynamic role, you will support the team in ...

NS2 Mission

Senior Data Engineer

Chantilly, VA · On-site

$108K - $147K/yr

NS2 Mission is seeking a Senior Data Engineer to join a growing engineering team in Chantilly, VA . This role is ideal for a seasoned data engineering professional who not only brings deep technical ...

Steampunk

Senior Data Engineer

Mclean, VA

$125K - $165K/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 ...

Steampunk

Senior Data Engineer

Mclean, VA · On-site

$125K - $165K/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 ...

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Showing results 21-40

All JobsSr Data Engineer JobsSr Data Engineer Jobs in Reston, VA

Sr Data Engineer information

See Reston, VA salary details

$84.3K

$131.4K

$182.1K

How much do sr data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for sr data engineer 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 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 are popular job titles related to Sr Data Engineer jobs in Reston, VA?

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

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

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

What cities near Reston, VA are hiring for Sr Data Engineer jobs?

Cities near Reston, VA with the most Sr Data Engineer job openings:

Sr Data Engineer jobs near you
Infographic showing various Sr Data Engineer job openings in Reston, VA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $131,426 per year, or $63.2 per hour.

Senior Data Engineer

ANALYTICA

Washington, DC • On-site

$120K - $163K/yr

Other

Re-posted 10 days ago

Job description

Analytica is seeking a Senior Data Engineer to support large-scale Health care data modernization and analytics initiatives. This role is responsible for designing, building, optimizing, and operating enterprise-grade data platforms and pipelines that support mission-critical healthcare programs. The ideal candidate possesses deep expertise in cloud-native data engineering, DataOps practices, and regulated healthcare environments.
The Senior Data Engineer will lead the development and maintenance of scalable, secure, and auditable data pipelines while ensuring data quality, reliability, and compliance with federal healthcare regulations and CMS data governance requirements. This individual will serve as a technical leader, collaborating with data architects, data scientists, business analysts, and program stakeholders to deliver high-quality data products and operational capabilities.
Analytica has been recognized byInc. Magazineas one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products thatimpactour day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401kmatch.
Key Responsibilities:
Data Engineering & Platform Development
  • Design, develop, and maintain scalable batch and streaming data pipelines using Databricks and/or cloud-native services.
  • Build and optimize ETL/ELT workflows that support operational reporting, analytics, machine learning, and data-sharing initiatives.
  • Develop and maintain medallion architecture patterns (Bronze, Silver, Gold) within Databricks Lakehouse environments.
  • Implement data integration solutions across multiple structured and unstructured healthcare data sources.
  • Design reusable frameworks, templates, and accelerators that improve engineering productivity and consistency.

Data Operations (DataOps)
  • Establish and maintain DataOps processes that support reliable, automated, and observable data pipelines.
  • Monitor pipeline health, performance, data quality, and operational SLAs.
  • Implement automated testing, deployment, version control, and CI/CD practices for data products.
  • Develop proactive monitoring, alerting, and incident response procedures.
  • Troubleshoot and resolve production data issues while minimizing operational impact.

Healthcare & Regulatory Compliance
  • Ensure solutions comply with CMS, federal, and healthcare-specific security, privacy, and data governance requirements.
  • Support environments containing protected health information (PHI), personally identifiable information (PII), and other sensitive healthcare datasets.
  • Implement auditability, lineage, metadata management, and data quality controls.
  • Partner with governance and security teams to ensure compliance with applicable standards and policies.

Architecture & Technical Leadership
  • Collaborate with solution architects and customer stakeholders to define data platform strategy and implementation roadmaps.
  • Lead technical design reviews and contribute to enterprise data architecture decisions.
  • Optimize data storage, processing performance, and cost management within cloud environments.
  • Mentor junior engineers and promote engineering best practices across teams.

Required Qualifications:
Experience
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related technical discipline.
  • 8+ years of data engineering experience, including large-scale enterprise data environments.
  • 3+ years supporting CMS or other federal healthcare programs.
  • Experience operating and supporting production-grade data platforms in regulated environments.
  • Demonstrated experience with DataOps and modern data engineering practices.

Technical Skills
  • Expert-level experience with Databricks Lakehouse Platform.
  • Strong proficiency with Apache Spark, PySpark, SQL, and Python.
  • Experience designing and maintaining operational data pipelines at enterprise scale.
  • Hands-on experience with cloud data platforms in AWS or Azure cloud environments.
  • Experience implementing CI/CD pipelines using Git-based development workflows.
  • Expertise in data quality, observability, lineage, metadata management, and monitoring frameworks.
  • Experience with orchestration and workflow management tools.
  • Strong knowledge of lakehouse, warehouse, and modern data architecture patterns.

Regulatory & Healthcare Knowledge
  • Experience supporting CMS, Medicare, Medicaid, or other federal healthcare data programs.
  • Understanding of healthcare data governance, security, privacy, and compliance requirements.
  • Experience working with healthcare data standards and regulated datasets.
  • Familiarity with Federal Information Security requirements and operational controls.

Preferred Qualifications
  • Databricks Certified Data Engineer Professional
  • Additional Databricks certifications.
  • Experience supporting cloud-native analytics platforms for CMS.
  • Experience implementing Delta Lake, Unity Catalog, and advanced Databricks governance capabilities.
  • Familiarity with machine learning operations (MLOps) and AI/ML data pipelines.
  • Experience with Collibra, Informatica, Unity Catalog or comparable data governance platforms.
  • Experience supporting FedRAMP or FISMA-compliant environments.
  • Prior experience leading technical teams or serving as a technical lead.

Desired Competencies:
  • Deep technical expertise in modern data engineering and DataOps practices.
  • Strong problem-solving and troubleshooting abilities.
  • Exceptional written and verbal communication skills.
  • Ability to translate business requirements into scalable technical solutions.
  • Proven ability to operate effectively in highly regulated healthcare environments.
  • Commitment to data quality, operational excellence, and continuous improvement.

AboutAnalytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified small businessthat hasbeen recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growingcompanies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The companyis appraised by the Software Engineering Institute (SEI) at CMMI Maturity Level 3 and is an ISO 9001:2008 certified provider.
Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.
To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.
  • Application Review: AI tools may help identify skills and experiences relevant to the role.
  • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.
By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.
When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

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