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Senior Data Engineering Jobs in Virginia (NOW HIRING)

Elder Research

Senior Data Engineer

Arlington, VA · Hybrid

$122K - $165K/yr

Senior Data Engineer General Information Requisition # 683 Locations USA-VA-Arlington Posting Date ... The ideal candidate brings deep engineering expertise and experience supporting analytics in large ...

Elder Research

Senior Data Engineer

Arlington, VA · Hybrid

$121K - $165K/yr

Senior Data Engineer General Information Requisition # 683 Locations USA-VA-Arlington Posting Date ... The ideal candidate brings deep engineering expertise and experience supporting analytics in large ...

Elder Research

Senior Data Engineer

Arlington, VA · On-site

$122K - $165K/yr

Senior Data Engineer General Information Requisition # 683 Locations USA-VA-Arlington Posting Date ... The ideal candidate brings deep engineering expertise and experience supporting analytics in large ...

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 ... They must have minimum 5 years Data Engineering experience * Must have a secret clearance Desired:

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 ... They must have minimum 5 years Data Engineering experience * Must have a secret clearance Desired:

CACI International, Inc.

Senior Data Engineer

Reston, VA · On-site

$110K - $149K/yr

Senior Data Engineer Job Category: Information Technology Time Type: Full time Minimum Clearance ... Stay current on advancements in data engineering, analytics architecture, data quality practices ...

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 ...

VivSoft Technologies LLC

Senior Data Architect

Herndon, VA · On-site

$69.25 - $92.50/hr

Senior Data Architect Location: Remote Clearance: Public Trust Type: Full-time, W2 About VivSoft ... Collaborate with executives, product owners, developers, and data engineering teams. * Review ...

VivSoft Technologies

Senior Data Architect

Herndon, VA · On-site

$69.25 - $92.50/hr

Senior Data Architect Location: Remote Clearance: Public Trust Type: Full-time, W2 About VivSoft ... Collaborate with executives, product owners, developers, and data engineering teams. * Review ...

TekSynap

Senior Data Engineer

Ashburn, VA

$150K - $200K/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 ...

The Swift Group, LLC

Senior Data Engineer

Reston, VA · On-site

$110K - $150K/yr

They are looking for a Senior Data Engineer to join their dynamic data ... engineering team in Tysons Corner, VA, where the role involves designing, building, and ...

TekSynap

Senior Data Engineer

Ashburn, VA · On-site

$150K - $200K/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 ...

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Senior Data Engineering information

Can I make 200K as a data engineer?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in tools like Spark or Hadoop can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or within large organizations. Salary levels depend on factors such as location, industry, certifications, and the complexity of projects handled.

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 is the highest salary for a senior data engineer?

The highest salaries for senior data engineers can exceed $150,000 to $200,000 annually, especially in high-cost living areas or with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark or Hadoop. Compensation may also include bonuses, stock options, and other benefits depending on the company and location.

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.

What engineer makes $500,000 a year?

Senior Data Engineers in high-demand industries or with extensive experience, specialized skills in cloud platforms, and advanced certifications can earn salaries approaching or exceeding $500,000 annually, especially in major tech companies or financial institutions. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise in data pipelines, distributed systems, and big data tools.

What engineers make $300,000 a year?

Senior Data Engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark or Hadoop. Compensation varies by industry, location, and company size, with some roles in finance or technology offering higher salaries for senior-level professionals.

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 Virginia? The most popular types of Data Engineering jobs in Virginia are:
What are popular job titles related to Senior Data Engineering jobs in Virginia? For Senior Data Engineering jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineering jobs in Virginia look for? The top searched job categories for Senior Data Engineering jobs in Virginia are:
What cities in Virginia are hiring for Senior Data Engineering jobs? Cities in Virginia with the most Senior Data Engineering job openings:
Senior Data Engineering jobs near you
Senior Data Engineer

Senior Data Engineer

Elder Research

Arlington, VA • Hybrid

$122K - $165K/yr

Full-time

Posted 24 days ago

Job description

Senior Data Engineer

General Information

Requisition # 683

Locations USA-VA-Arlington

Posting Date 03/20/2026

Security Clearance Required - ACTIVE IRS MBI

Remote Type Hybrid

Time Type Full time

Description & Requirements

Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Senior Data Engineer to join our team in Arlington, VA. This is a hybrid position with several days onsite over the course of a month.

We are seeking a Senior Data Engineer to support the infrastructure and pipelines powering mission-critical fraud detection analytics. This role ensures reliable integration, execution, and performance of analytical workflows across both legacy and modern analytics environments.

The ideal candidate brings deep engineering expertise and experience supporting analytics in large-scale production systems within regulated environments.

Responsibilities include but are not limited to:

  • Design, develop, and maintain data pipelines and analytical infrastructure supporting fraud detection analytics.
  • Integrate analytical models and rules into operational production systems.
  • Ensure reliability and continuity of production analytics workflows during operational cycles.
  • Support testing, validation, and migration of analytical models and logic across platforms.
  • Perform data extraction, transformation, and feature engineering for large-scale analytics datasets.
  • Collaborate with IT and platform teams to resolve data and infrastructure issues.
  • Support modernization efforts to improve scalability and performance of analytical environments.
  • Maintain documentation for data pipelines, analytical workflows, and system integrations.

Minimum Qualifications:

  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences
  • 8+ years of experience in data engineering, analytics engineering, or production analytics system support.
  • 3+ years supporting analytics in fraud detection, compliance, identity theft, or similarly regulated environments.
  • Strong experience supporting analytics across legacy and modern enterprise platforms.
  • Expertise working with large and complex datasets in distributed environments.
  • Proficiency with SQL, Python, and data engineering frameworks used in analytics development.
  • Experience with Databricks, PostgreSQL, or comparable enterprise analytics platforms.
  • Demonstrated ability to support data extraction, transformation, feature engineering, and model execution pipelines.
  • Experience supporting testing, validation, troubleshooting, and migration of analytical logic and models.

Preferred Qualifications:

  • Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision science, or related fields
  • Ability to coordinate effectively with IT teams, data scientists, and program stakeholders.
  • Strong documentation and communication skills for technical and operational audiences.

Clearance Requirements:

  • Must currently possess an IRS Public Trust clearance with Full Background Investigation

Physical Requirements:

  • Must be able to remain in a stationary position 50%
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
  • Must be able to exchange accurate information in these situations

About Elder Research, Inc - People Centered. Data Driven

Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.

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