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Senior Data Analytics Engineer Jobs in Reston, VA

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

Data Analytics Engineer

Washington, DC · Remote

$129K - $155K/yr

Data Analytics Engineer Clearance Requirement: Active DoD Secret Clearance required Location: Remote / Pentagon Position Overview The Data Analytics Engineer is a hybrid role combining Data Analyst ...

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 ...

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 ...

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

Washington, DC · On-site

$97K - $122K/yr

Senior Data Analyst The Senior Data Analyst will serve as a senior technical and analytical ... analytics, data science, business intelligence, reporting, data engineering, or a related ...

Sr. Data Engineer

Arlington, VA · On-site

$131K - $158K/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 ...

... Senior Data Scientist to Join our Team in Washington, DC . At ICI Services, our employee-owners ... Our diverse team of acquisition experts, financial analysts, engineers, logisticians, IT ...

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 ...

Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to ...

Senior Data Engineer

Reston, VA · On-site

$70 - $75/hr

Senior Data Engineer Location: Remote Pay Range: $70/hr. To $75/hr. On w2. Profile ... Data Analyst will work closely with Architects and leads in the Interflow team, key business ...

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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 Jun 19, 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 engineer makes $500,000 a year?

Senior Data Analytics Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in data modeling and tools like SQL and Python, and roles in high-paying industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly at senior levels or in competitive markets.

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.

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.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. Senior Data Analytics Engineers often develop and implement AI models, but human expertise remains essential for interpreting results and guiding business strategies. AI tools complement rather than replace data analysts, emphasizing the need for skills in data management, programming, and critical thinking.

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 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 engineers make $300,000 a year?

Senior Data Analytics Engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like SQL, Python, or cloud platforms. High compensation often reflects leadership roles, specialized expertise, or work in competitive industries such as finance or technology.

Is 40 too late for data science?

Age is not a barrier to becoming a Senior Data Analytics Engineer or entering data science. Many professionals successfully transition into data roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience, continuous learning, and practical skills are more important than age in this field.
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 June 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

Axon

Sterling, VA

Other

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


Axon rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

15th of 139 rated electronics manufacturers


Job description

Join Axon and be a Force for Good.

At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.
Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.

Your Impact 
Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software applications. This role is responsible for configuring system databases, designing and maintaining scalable analytics solutions, and developing reports and dashboards tailored to customer needs. The ideal candidate will work with data engineers, business stakeholders, and customers. They will make visualizations and reports that are easy to understand. They will also develop training strategies, create instructional materials, and provide support resources for deployment. Robust analytical skills, attention to detail, and the ability to communicate proficiently with both technical and non-technical audiences are essential.

What You'll Do 
Location: Hybrid in office + up to 50% travel required.
Must be within commutable distance to one of our Hub locations listed below:
(Scottsdale AZ, Seattle WA, Boston MA, Atlanta GA)
Reports to: Director, Data Integration and Architecture

  • Develop and maintain data pipelines, models, and dashboards to support business analytics and reporting needs.
  • Partner with our public safety client agencies to understand their business processes, organizational needs, and how our products achieve their digital transformation objectives for their reporting and analytics needs
  • Configure system databases to prepare the Axon Records, and Standards analytics
  • Author and configure Power BI and/or SSMS reports, dashboards, and analytics as needed for our customers
  • Train public safety agencies on Power BI and/or SSMS reporting capability in Axon's applications
  • Build tools that support our clients to successfully manage and navigate the digital transformation journey within their own agencies
  • Create training strategies and plans. Also, make instructional materials for introducing customer software.
  • Use effective instructional design methodologies and technologies as it relates to reporting & analytics
  • Communicate testing plans, training plans, activities, and outcomes to appropriate internal and external stakeholders
  • Partner with key stakeholders including Axon Academy on the development of eLearning training assets and delivery via Axon's learning management system
  • Partner with the product engineering teams to assess content, system developments/customization to maintain testing/training materials, and update for clients as needed
  • Be a product subject matter expert (SME) in crime analytics and reporting
  • Optimize data models and queries for performance and efficiency.
  • Leverage AI tools (eg., Cursor, Claude, Gemini) to accelerate SQL query development, dashboard building and data model optimization.
  • Lead complex, multi-agency analytics implementations end to end with minimal supervision
  • Mentor and Provide technical guidance to juinior team members
  • Drive best practices for SQL development, dashboard design, template versioning and data modeling across the team
  • serve as primary technical SME and escalation point for customer analytics issues

What You Bring

  • 7+ years of experience delivering and/or managing public safety software testing, training, and/or implementation projects
  • Demonstrated ability to operate independently on ambigious, high-visibility projects
  • Experience mentoring or technically leading peers
  • Bachelor's Degree or equivalent experience in computer science/data analytics is preferred
  • Proficiency in SQL management studio, Power BI, or similar reporting language
  • Familiarity with AI assisted development tools to write, optimize and troubleshoot SQL queries and build dashboards more efficiently
  • Deep level knowledge of Public Safety crime analysis is preferred
  • Top-notch communication skills and the ability to communicate to both technical and non-technical customers/colleagues.
  • Exposure to software development and continuous process improvement processes
  • Proven success in transforming raw content into informative, engaging, and compelling learning experiences
  • Must be able to write clear copy, instructions, and messages for both internal and external audiences, as well as scripts for audio and video.
  • Must pass a Criminal Justice Information Services (CJIS) background check and maintain confidential and highly sensitive information.
Benefits that Benefit You
  • Competitive salary and 401k with employer match
  • Discretionary paid time off
  • Paid parental leave for all
  • Medical, Dental, Vision plans
  • Fitness Programs
  • Emotional & Mental Wellness support
  • Learning & Development programs
  • And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work


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