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Data Analytics Engineer Jobs in Washington, DC (NOW HIRING)

The Bulwark

Analytics Engineer

Washington, DC · On-site

$120K - $130K/yr

  • Medical

  • Retirement

  • PTO

Analytics Engineer Department: Sales & Marketing Employment Type: Full Time Location: Washington ... You'll connect data across subscriptions, newsletters, podcasts, video, live events, marketing ...

Quality Technology Services, LLC

Analytics Engineer III

Ashburn, VA · On-site

$117K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Analytics Engineer III role is responsible for bridging the gap between, data miners, product managers, and other Data Science & Engineering teams, and mentoring junior members of the analytics ...

Highspring

Senior Consultant - Data & Analytics

Mclean, VA

$86K - $109K/yr

The Team - Data & Analytics Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients ...

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Showing results 41-60

All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Washington, DC

Data Analytics Engineer information

See Washington, DC salary details

$50.2K

$146.4K

$200.3K

How much do data analytics engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data analytics engineer in Washington, DC is $146,365.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,200.00 and $155,100.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are the most commonly searched types of Data Analytics Engineer jobs in Washington, DC?

The most popular types of Data Analytics Engineer jobs in Washington, DC are:

What are popular job titles related to Data Analytics Engineer jobs in Washington, DC?

For Data Analytics Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Data Analytics Engineer jobs in Washington, DC look for?

The top searched job categories for Data Analytics Engineer jobs in Washington, DC are:

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $146,365 per year, or $70.4 per hour.

Systems Engineer - Data & Analytics

Tensley Consulting, Inc.

Annapolis Junction, MD • On-site

$190K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago

Job description

Job Description

Tensley Consulting is seeking a System Engineer to support analytical engineering, data analysis, and system modeling activities across mission-critical systems and enterprise environments. The System Engineer provides technical expertise supporting data-driven system analysis, requirements development, system architecture modeling, and analytical evaluation of complex systems. This role works closely with government stakeholders, analysts, and engineering teams to translate mission requirements into technical solutions using analytical methods, modeling techniques, and system performance analysis. The System Engineer supports the full system lifecycle, including requirements analysis, architecture modeling, integration planning, testing, and performance evaluation. Responsibilities include conducting technical and quantitative analysis, developing system models, supporting architecture frameworks, and providing insights that inform engineering decisions and improve mission system performance.


Education/Experience:

Bachelor’s degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or a related technical discipline from an accredited college or university is required.

Fourteen (14) years of experience as a System Engineer supporting programs and contracts of similar scope, type, and complexity is required. Five (5) years of additional system engineering experience may be substituted in place of the degree.


Salary: $190,000-$220,000. This represents the typical salary range for this position, but is not guaranteed. Salary is based on experience, location and contractual requirements which could fall outside of the range listed.

, Required Skills

Domain Experience:

Fourteen (14) years of demonstrated experience supporting systems engineering, analytical engineering, or technical analysis activities within complex enterprise or mission systems environments.

Experience performing system requirements analysis and translating operational requirements into technical solutions

Experience supporting data analysis, system modeling, or analytical evaluation of complex systems

Experience analyzing system performance metrics, operational data, or technical datasets to inform engineering decisions

Experience supporting system architecture development and engineering documentation

Experience conducting technical analysis, modeling, or trade studies to evaluate system capabilities and performance

Experience supporting system integration, testing, and verification activities

Experience supporting system lifecycle engineering activities including requirements development, architecture design, integration, and sustainment

Experience developing or analyzing system architectures using engineering frameworks such as DoDAF

Experience collaborating with engineering teams, analysts, and government stakeholders

Experience developing technical reports, analytical documentation, or engineering assessments

, Desired Skills

Experience supporting Department of Defense (DoD) or Intelligence Community (IC) programs

Experience performing data analysis using tools such as Python, R, MATLAB, or similar analytical platforms

Experience developing system models, simulations, or performance analysis tools

Experience supporting system architecture modeling using DoDAF or model-based systems engineering (MBSE) approaches

Experience analyzing large datasets or operational performance data to support mission systems

Experience supporting cybersecurity, information assurance, or secure system architectures

Experience supporting engineering trade studies, system performance optimization, or mission analysis

, About Tensley Consulting, Inc.
About TensleyTensley Consulting is a Service-Disabled Veteran-Owned Small Business focused on mission engineering in support of the United States Intelligence Community and the Department of Defense. Our team consists of System Engineers, Software Engineers, Test Engineers, and Signals Analysts performing work throughout the Continental United States (CONUS) and Outside the Continental United States (OCONUS).
Equal Opportunity, Diversity InclusionWe aim to build a team that represents a variety of backgrounds, perspectives, and skills. We embrace inclusion and ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, military or veteran status, or any other personal characteristic.
Benefits Include
100% paid medical coverage with HSA and company contribution
100% paid vision, dental, short-term, and long-term premium
12% 401(k) contribution (not a match)
Education and training budget
6 weeks and 3 days of PTO
And much more!
Come grow with us!