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Senior Analytics Engineer Jobs in Virginia (NOW HIRING)

Senior Data Analytics Engineer Category: Business Analysis (functional and technical) Main location: United States, Virginia, Reston Position ID:J0726-0947 Employment Type: Full Time U.S. - Finding ...

Data Analytics Engineer

Glen Allen, VA · On-site

$106K - $127K/yr

This is a senior individual contributor role. You'll lead through technical ownership, influence ... Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities ...

Data Analytics Engineer

Glen Allen, VA · On-site

$180K - $200K/yr

This is a senior individual contributor role. You'll lead through technical ownership, influence ... Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities ...

Conduct or assess ad-hoc quantitative analyses, modeling, or programming using SAS, SQL, R, or ... Modeling - Senior Associate Target Pay Range: $123,000 - $161,000 a year #LI-Hybrid #LI-ME1 ...

Senior Data Engineer

Reston, VA · On-site

$110K - $149K/yr

Senior Data Engineer Job Category: Information Technology Time Type: Full time Minimum Clearance ... In this role, you will lead complex initiatives focused on data integration, analytics enablement ...

Sr.People Analytics Analyst

Arlington, VA · On-site

$100K - $133K/yr

Summary Lidl US is seeking a Senior Analyst, People Analytics to join our HR team. This highly ... Engineer and maintain interactive reporting tools, dynamic dashboards, and lightweight data ...

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Senior Analytics Engineer information

See Virginia salary details

$59K

$125.5K

$181.9K

How much do senior analytics engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for senior analytics engineer in Virginia is $125,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $142,300.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior Analytics Engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in data modeling, SQL, and tools like Python or Spark, and working in high-demand industries or companies. Compensation varies based on location, company size, and individual expertise, often including bonuses and stock options.

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.

What does a senior analytics engineer do?

A senior analytics engineer designs, develops, and maintains data pipelines and analytics solutions to support business decision-making. They work with large datasets, use tools like SQL, Python, or cloud platforms, and often collaborate with data scientists and business teams to ensure data accuracy and accessibility.

How much do senior analytics engineers make?

Senior analytics engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have expertise in data modeling, SQL, and analytics tools like Tableau or Looker, which can influence salary levels.

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 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 engineer makes $500,000 a year?

Senior Analytics Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in data modeling, SQL, and cloud platforms, and roles in high-paying industries or companies. Such compensation often includes base salary, bonuses, and stock options, typically in senior or executive-level positions.

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 most commonly searched types of Analytics Engineer jobs in Virginia? The most popular types of Analytics Engineer jobs in Virginia are:
What cities in Virginia are hiring for Senior Analytics Engineer jobs? Cities in Virginia with the most Senior Analytics Engineer job openings:
Sr. Data Analytics Engineer

Sr. Data Analytics Engineer

Thomas Edwards Group

Midlothian, VA

$100K - $136K/yr

Full-time

Posted 3 days ago


Job description

Sr. Data Analytics Engineer 10874

A growing organization is seeking a Senior Analytics Engineer to lead the modernization of its enterprise data platform. This individual will evaluate, design, and implement a scalable data warehouse architecture while consolidating legacy reporting systems into a governed, centralized environment.

This is a hands-on technical role responsible for building and owning the organization's analytics platform, data pipelines, governance framework, and Power BI reporting environment. The position will partner with internal stakeholders and external resources during a knowledge transfer period before assuming full ownership of the function.

Key Responsibilities
  • Evaluate and implement a modern cloud data platform (e.g., Microsoft Fabric, Snowflake, Azure Synapse, Databricks, or similar).
  • Design and maintain ETL/ELT pipelines integrating data from multiple ERP and business systems.
  • Develop scalable data models and establish enterprise data standards and governance.
  • Standardize reporting using Power BI and retire legacy reporting tools.
  • Manage data security, access controls, and documentation.
  • Partner with business and technical stakeholders to deliver reliable, reusable reporting solutions.
  • Support ERP initiatives and integration of newly acquired business units.
Qualifications

Required

  • 5+ years of analytics or data engineering experience.
  • Hands-on experience building modern data warehouse solutions.
  • Strong ETL/ELT, SQL, data modeling, and Power BI expertise.
  • Experience implementing data governance and data quality practices.
  • Ability to evaluate technology platforms and recommend scalable solutions.
  • Experience working with complex, multi-source or multi-entity data environments.

Preferred

  • Experience with ERP systems such as Sage 100, Acumatica, or similar.
  • Python or other scripting experience for automation.
  • Experience modernizing legacy data environments or bringing outsourced analytics capabilities in-house.
  • Experience in acquisition-focused or high-growth organizations.
#ZR

Company Description

Thomas Edwards Group is an Executive Search Firm specializing in the direct hire and interim placement of Accounting, Finance, HR and IT professionals. We’ve been in business since 1997 and the Dallas Business Journal has ranked us a Top Search Firm in Dallas and one of the “Best Places to Work” multiple times. Thomas Edwards Group also made the Inc. 5000 list in 2016 and our award-winning team of Search Consultants, which rank among the best and most experienced in the area, includes MBAs, CPAs, former Big 4 Professionals, Controllers, IT Search Professionals, Finance/Banking, and Business Professionals.