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Data Analytics Engineer Jobs in Virginia (NOW HIRING)

Maximus

Senior Engineer - Data Analytics

VA · On-site +1

$106K - $144K/yr

General information Job Posting Title Senior Engineer - Data Analytics Date Wednesday, June 24, 2026 City Remote Country United States Working time Full-time Description & Requirements Maximus is ...

TriOptus LLC

Senior Data Analytics Developer

Mclean, VA · On-site

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 ...

Highspring

Manager, Data & Analytics

Mclean, VA · On-site

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 ...

Highspring

Manager, Data & Analytics

Mclean, VA

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 ...

TLA-LLC

Data Analyst

Mclean, VA

Programming Languages: Experience with statistical programming languages such as Python (using libraries like Pandas, NumPy, and Matplotlib) or R for complex analysis and automation. Data ...

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

Partner with cybersecurity, engineering, product, and program management teams to align data platforms, applications, integrations, and analytics capabilities with enterprise standards. * Establish ...

ASCENDING LLC

Data Reporting Analyst

Richmond, VA · On-site +1

... data analytics platforms and visualization tools. The ideal candidate will collaborate with business leaders, engineers, analysts, and subject matter experts to understand reporting needs, enhance ...

Highspring

Senior Manager, Data & Analytics

Mclean, VA · On-site

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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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Virginia

Data Analytics Engineer information

See Virginia salary details

$44.1K

$128.6K

$176K

How much do data analytics engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data analytics engineer in Virginia is $128,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 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.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

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.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

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 systems 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 deliver actionable insights.
What are the most commonly searched types of Data Analytics Engineer jobs in Virginia? The most popular types of Data Analytics Engineer jobs in Virginia are:
What are popular job titles related to Data Analytics Engineer jobs in Virginia? For Data Analytics Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Virginia look for? The top searched job categories for Data Analytics Engineer jobs in Virginia are:
What cities in Virginia are hiring for Data Analytics Engineer jobs? Cities in Virginia with the most Data Analytics Engineer job openings:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Virginia as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $128,604 per year, or $61.8 per hour.

Data Analytics Engineer - PRIME, Hybrid - CI Poly

stanleyreid

Sterling, VA • Hybrid

$113K - $136K/yr

Full-time

Medical, Retirement, PTO

Posted 27 days ago

Job description

Who We Are
Stanley Reid is a specialized recruiting firm connecting top contractors with exciting IC/DoD opportunities.  We're dedicated to a personalized, stress-free job search, matching your unique skills and goals with the perfect role.
About Our Client
Our client is a woman-owned small business supporting critical missions in the IC/DoD.  They specialize in cybersecurity, software development, data science, and cloud migration.  Enjoy a close-knit team and exceptional benefits, including full-paid medical, 4 weeks PTO, 6% 401K match, and over $5K for training.
The Role
Our client is seeking a Data Profiler to support the research, normalization, and correlation of mission-critical data sets.  In this role, you will leverage SIEM platforms to author complex queries and develop analytics that drive data integrity.  You will work across a variety of cyber data sources to perform extraction, custom translation, and loading, ensuring data is properly prepped and labeled for high-level analytics.  This position is ideal for a detail-oriented professional who can navigate technical complexities and work effectively in both independent and team environments.
What You'll Bring
Experience:  Technical BS + 9 years of total relevant experience (3 years specific to the role plus 6 years in similar data analytical positions; 4 years of additional experience may substitue for a degree).
Technical Skills:  Proficiency with SIEM tools (Splunk, Elastic) and the ability to author complex queries (SPL, SQL Kibana, or Sigma Rules).
Core Competencies:  Fluency in ETL processes, custom translation development, and data labeling
Domain Knowledge:  Technical experience in cyber data analysis, including continuous monitoring, intelligence, and reporting
Desired Extras:  Familiarity with the OSI model, common network protocols, and various log formats (JSON, EML).  Experience with Jupyter notebooks or Big Data
Platforms (BDP/JCC2) is a plus
Certifications:  DoD IAT II or higher (Sec+, etc) required for consideration
*Please note:  Applicants may be required to complete a coding challenge during the interview process per customer requirements.
Clearance Requirement
Active Top Secret is required.  TS/SCI +  CI poly is preferred.  Please note, you must have the required clearance for consideration, under-cleared applicants will not receive a response
Location
San Antonio, TX: Columbia, MD; or Sterling, VA (Hybrid)
Ready for Next Steps?
We encourage you to apply and connect with us even if a direct match isn't currently listed.  Apply online at https://careers.stanleyreid.com/or contact our MD team for more info: mwhitford@stanleyreid.com, asmith@stanleyreid.com.
Please Note:  
Due to high application volume, we are unable to confirm receipt of submissions or provide updates.  Will will contact you directly if there is a match.  Opportunities change frequently; We cannot guarantee availability.
Posted on 03/17/2026