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Senior Data Engineer Jobs in Springfield, 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 ...

540

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 for the Department of War. You will lead the design and evolution of Databricks-based data ...

540

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 for the Department of War. You will lead the design and evolution of Databricks-based data ...

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 ...

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

$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

$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 ...

Mastercard, Inc.

Senior Data Engineer

Arlington, VA · On-site

$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 ...

Elevance Health

Senior Data Engineer

Ashburn, VA · Hybrid

$108K - $147K/yr

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 productivity and work ...

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 · On-site

$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 ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Springfield, VA

Senior Data Engineer information

See Springfield, VA salary details

$84.6K

$132K

$182.8K

How much do senior data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior data engineer in Springfield, VA is $131,953.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,700.00 and $150,400.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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 strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

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

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are the most commonly searched types of Data Engineer jobs in Springfield, VA?

The most popular types of Data Engineer jobs in Springfield, VA are:

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

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

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

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

What cities near Springfield, VA are hiring for Senior Data Engineer jobs?

Cities near Springfield, VA with the most Senior Data Engineer job openings:

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Springfield, VA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $131,953 per year, or $63.4 per hour.

Senior Data Engineer

ANALYTICA

Washington, DC • On-site

$120K - $163K/yr

Other

Re-posted 8 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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