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Senior Data Analytics Engineer Jobs in Reston, VA

Senior Data Analytics Engineer

Reston, VA · On-site

$110.30K - $149.80K/yr

NVR, Inc. is seeking Senior Data Analytics Engineer (Microsoft Fabric) to work on site in Reston, VA NVR's technology teams thrive on providing multiple business lines with the tools and cutting-edge ...

Senior Data Analytics Engineer

Reston, VA

$58 - $76.75/hr

Summary Asa Senior Data Analytics Engineer, you willdesign, build, and support scalable analytical data solutions using Microsoft Fabric. This role focuses on handson development of wellmodeled data ...

Senior Manager, Data Analytics At Capital One, data is at the center of everything we do. When we ... Master's Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering ...

Data Analytics Engineer

Chantilly, VA · On-site +1

$142.79K - $169.83K/yr

Yes As a Data Analytics Engineer, you will: * Evolve Extract, Transform, Load (ETL) pipelines of ... Provide support and presentations of the visualization platform to internal customers and senior ...

Senior Data Analyst (Ab Initio)

Mclean, VA · On-site

$86.90K - $109.70K/yr

Tiger Analytics is looking for experienced Senior Data Analyst to join our fast-growing advanced ... Required Skills * 10 years of experience in Data Analytics or Data Engineering roles. * 5 years of ...

Senior Data Analyst (Ab Initio)

Mclean, VA · On-site

$86.90K - $109.70K/yr

Tiger Analytics is looking for experienced Senior Data Analyst to join our fast-growing advanced ... Required Skills * 10 years of experience in Data Analytics or Data Engineering roles. * 5 years of ...

Use technology tools to conduct analysis; apply techniques such as SQL querying and macro development to extract data for populating models * Gain a good understanding of the relevant processes and ...

Senior Data Analyst (Ab Initio)

Mclean, VA · On-site

$86.90K - $109.70K/yr

Tiger Analytics is looking for experienced Senior Data Analyst to join our fast-growing advanced ... Required Skills * 10 years of experience in Data Analytics or Data Engineering roles. * 5 years of ...

Sr. Data Engineer

Arlington, VA · On-site

$131.70K - $158.20K/yr

The Sr. Data Engineer will work closely with data scientists, analyst, and other stakeholders to ensure the seamless flow and integrity of data across the organization. ***This position requires ...

Sr. Data Analyst

Washington, DC · On-site

$110K - $150K/yr

Senior Data Analyst Washington, DC Metro Area (On-Site) | US Citizenship Required A mission-driven ... S. Citizenship (required) * 3-7 years of experience in data analytics, implementation, or ...

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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 May 30, 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 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.

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 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.

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 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:
Infographic showing various Senior Data Analytics Engineer job openings in Reston, VA as of May 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $131,426 per year, or $63.2 per hour.
Senior Data Analytics Engineer

Senior Data Analytics Engineer

NVR, Inc.

Reston, VA • On-site

$110.30K - $149.80K/yr

Full-time

Retirement

Posted 15 hours ago


NVR rating

8.4

Company rating: 8.4 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

10th of 77 rated construction


Job description

NVR, Inc. is seeking Senior Data Analytics Engineer (Microsoft Fabric) to work on site in Reston, VA
NVR's technology teams thrive on providing multiple business lines with the tools and cutting-edge technologies that support NVR's mission to create a better living experience for our customers. Join NVR Technology and be a part of a collaborative team that welcomes innovation, encourages continuous learning, and helps you achieve your career goals.
Summary
As a Senior Data Analytics Engineer, you will design, build, and support scalable analytical data solutions using Microsoft Fabric. This role focuses on hands-on development of well-modeled data assets and analytics solutions while collaborating closely with business partners and technical peers.
The ideal candidate brings strong technical depth in SQL, dimensional modeling, and Fabric, paired with solid customer engagement skills and a practical approach to ML and AI capabilities.
Key Job Responsibilities
  • Design and implement dimensional data models, including fact tables and slowly changing dimensions, to support analytics, reporting, and downstream consumption.
  • Develop and maintain data pipelines in Microsoft Fabric, supporting ingestion, transformation, and modeling using a medallion architecture (Bronze, Silver, Gold).
  • Build and maintain transformations using SQL, SparkSQL, PySpark, and Python within Fabric Notebooks.
  • Apply sound database and data modeling practices to ensure performant, reliable, and maintainable analytics solutions.
  • Implement machine learning and AI solutions using tools available within the Microsoft Fabric and Foundry ecosystem, with guidance as needed for more advanced use cases.
  • Partner with business stakeholders and internal customers to gather requirements, clarify needs, and translate them into effective data solutions.
  • Participate in Git-based version control and CI/CD workflows, following established team practices.
  • Follow data governance, security, and compliance standards when designing and delivering data, ML, and AI solutions.
  • Contribute to team documentation, data standards, and reusable patterns.
  • Troubleshoot and enhance existing pipelines, data models, and notebooks to improve reliability and performance.

Job Qualifications
  • 5+ years of experience in a Data and Analytics Engineer role.
  • Strong experience with SQL and dimensional modeling, including familiarity with fact tables, dimensions, and slowly changing dimensions.
  • Proficiency in Python, PySpark, and SparkSQL, with experience working in Fabric Notebooks.
  • Hands-on experience developing end-to-end solutions in a Medallion architecture, including data ingestion, transformation, and modeling.
  • Working experience with machine learning and AI concepts, with exposure to implementation in Fabric or similar platforms.
  • Experience using Git for source control in a collaborative development environment.
  • Understanding of data governance and security practices as applied to analytics and data platforms.
  • Ability to engage effectively with customers, understand business questions, and deliver practical, high-quality solutions.

Preferred but not required:
  • Experience supporting analytics platforms in a governed enterprise environment.
  • Familiarity with Power BI semantic models and analytics consumption patterns.
  • Exposure to ML lifecycle considerations or MLOps practices.
  • Experience working on cross-functional data or analytics teams.
  • Hands-on experience in Microsoft Fabric.

Life at NVR
As the parent company of Ryan Homes, NVHomes and Heartland Homes, NVR is committed to your success and we will give you the tools, training, and industry knowledge you need to excel and thrive. Our management team is tenured and talented, nearly 80% of them promoted from within, so you will have mentors who can share their knowledge and provide career guidance and encouragement.
NVR offers traditional benefits, among the best in the industry. In addition, we offer all employees stock ownership through a profit sharing trust as part of our retirement savings package. NVR has had the highest Earnings Per Share growth rate in the homebuilding industry for the past 10 years, so as we grow financially, so do you!
View more about our exceptional culture and comprehensive benefits athttps://www.nvrcareers.com/
We are an Equal Opportunity Employer.
Drug Testing and Credit Check are required.
Applicants must be legally entitled to work in the United States, as NVR does not provide visa sponsorship.
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