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Senior Data Analytics Engineer Jobs in Reston, VA

Elder Research

Senior Data Engineer

Arlington, VA · Hybrid

$121K - $165K/yr

Integrate analytical models and rules into operational production systems. * Ensure reliability and continuity of production analytics workflows during operational cycles. * Support testing ...

Elder Research

Senior Data Engineer

Arlington, VA · On-site

$121K - $165K/yr

Integrate analytical models and rules into operational production systems. * Ensure reliability and continuity of production analytics workflows during operational cycles. * Support testing ...

Applied Information Sciences

Data Engineer

Alexandria, VA · On-site

$110K - $166K/yr

For this position, we are seeking a talented individual to join AIS as a Senior Data Analytics Engineer. * Core Knowledge & Skills: Optimizes complex SQL; applies advanced data modeling; leads robust ...

ProSidian Consulting

Senior Data Analyst

Rockville, MD

$87K - $110K/yr

ProSidian Seeks a Senior Data Analyst (Contract Contingent) in Rockville, MD to support an ... Experience with supervising a team of staff (programming staff or other). The Analyst will also ...

Guidehouse

Senior Data Analyst

Mclean, VA · On-site

$86K - $109K/yr

Use analytics tools to build dashboards, key risk indicators (KRIs), and trend analyses that ... TWELEVE (12) or more years of experience in data analysis, engineering, data visualization, data ...

Navigant Consulting

Senior Data Analyst

Mclean, VA · On-site

$88K - $111K/yr

Use analytics tools to build dashboards, key risk indicators (KRIs), and trend analyses that ... TWELEVE (12) or more years of experience in data analysis, engineering, data visualization, data ...

Guidehouse

Senior Data Analyst

Mclean, VA · Hybrid

$86K - $109K/yr

Use analytics tools to build dashboards, key risk indicators (KRIs), and trend analyses that ... TWELEVE (12) or more years of experience in data analysis, engineering, data visualization, data ...

Highspring

Senior Consultant - Data & Analytics

Mclean, VA · On-site

$86K - $109K/yr

Your Impact As a Senior Consultant, Data & Analytics, you will: * Design and build modern data ... Bachelor's degree in Information Systems, Computer Science, Data Analytics, Engineering, or a ...

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All JobsData Analytics Engineer JobsSenior Data Analytics Engineer JobsSenior Data Analytics Engineer Jobs in Reston, VA

Senior Data Analytics Engineer information

See Reston, VA salary details

$84.3K

$131.4K

$182.1K

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

As of Aug 20, 2026, the average yearly pay for senior data analytics 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 does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What are the key skills and qualifications needed to thrive as a senior data analytics engineer, and why are they important?

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.

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

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

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

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

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

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

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

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

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

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

Senior Data Analytics Engineer jobs near you
Infographic showing various Senior Data Analytics 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

Elder Research

Arlington, VA • Hybrid

$121K - $165K/yr

Full-time

Re-posted yesterday

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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