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Senior Analytics Engineer Jobs in Reston, VA (NOW HIRING)

KBR, Inc.

Senior Structural Analysis Engineer

Greenbelt, MD · On-site

$137K - $206K/yr

Senior Structural Analysis Engineer BELONG. CONNECT. GROW. with KBR. Around here, we define the future. We are a company of innovators, thinkers, creators, explorers, volunteers, and dreamers. But we ...

KBR

Senior Structural Analysis Engineer

Greenbelt, MD · On-site +1

$137K - $206K/yr

Senior Structural Analysis Engineer BELONG. CONNECT. GROW. with KBR. Around here, we define the future. We are a company of innovators, thinkers, creators, explorers, volunteers, and dreamers. But we ...

ProSidian Consulting

Senior Programmer Analyst

Rockville, MD

$45.50 - $61.50/hr

ProSidian Seeks a Senior Programmer Analyst (Contract Contingent) in Rockville, MD to support an engagement for an independent agency of the United States Federal Govt. that supports health services ...

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All JobsAnalytics Engineer JobsSenior Analytics Engineer JobsSenior Analytics Engineer Jobs in Reston, VA

Senior Analytics Engineer information

See Reston, VA salary details

$62K

$131.9K

$191.3K

How much do senior analytics engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for senior analytics engineer in Reston, VA is $131,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $149,600.00 per year, depending on experience, location, and employer.

What is a senior analytics engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

How does a senior analytics engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.

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

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

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

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

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

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

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

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

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

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

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

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

Senior Analytics Engineer jobs near you
Infographic showing various Senior Analytics Engineer job openings in Reston, VA as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $131,664 per year, or $63.3 per hour.

Senior People Analytics Analyst (Remote) - 1079

Braintrust

Washington, DC • Remote

$80 - $88/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Company
Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams. Job description
Senior Analyst, People Insights & Engineering (IC3)  – Contractor

Job Description: As a Senior Analyst on the People Insights & Engineering (PIE) team, you'll help sustain and advance the data infrastructure, business intelligence, and reporting that Etsy's people analytics run on. This is a hands-on delivery role focused on execution and infrastructure progression, working closely with — and under the direction of — the PIE technical lead. Your work will keep our governed analytics environment running while moving key infrastructure forward.

The Senior Analyst will be responsible for:

  • Delivering recurring and clearly-scoped reporting, and identifying, analyzing, and interpreting trends across disparate data sources.
  • Building and extending canonical people data tables (BigQuery / dbt) to support governed analytics and agentic/LLM use, under the direction of the PIE technical lead.
  • Supporting warehouse and data-modeling work in partnership with the PIE technical lead — e.g., informing backfill strategy, reviewing org/hierarchy mapping, and evaluating data-quality checks.
  • Migrating, maintaining, and enhancing existing governed dashboards as part of our BI tooling migration, ensuring metric consistency with the governed layer.
  • Running and improving the market/compensation benchmark data extraction process (e.g., Radford, Mercer).

The Senior Analyst will demonstrate:

  • 3+ years of HR/people analytics reporting experience, ideally at a fast-growing company.
  • Strong SQL for reporting, data manipulation, and modeling.
  • Hands-on experience with a cloud data warehouse (BigQuery preferred).
  • Experience with dbt or a comparable data transformation/modeling tool (preferred).
  • Experience working with version control systems (git/github).
  • Proficiency with BI/dashboarding tools (Looker preferred; Tableau, Power BI, etc.); LookML a plus.
  • Experience with R or Python for data analysis/visualization (preferred).
  • Experience using modern LLM tools (e.g., Claude Code) as a productivity multiplier and quality enhancer (preferred).
  • Experience working with data from disparate sources of varying quality.
  • Working knowledge of data privacy best practices for employee/people data.
  • Working knowledge of canonical HR functions (Talent Acquisition, Operations, Development, etc.).

Apply