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Data Analytics Engineer Jobs in Ashburn, VA (NOW HIRING)

CGI Inc.

Senior Data Analytics Engineer

Reston, VA · On-site

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 ...

@Orchard

Lead Data Analytics Engineer

Washington, DC · Remote

$160K - $230K/yr

Lead Data Analytics Engineer Remote/Work from Home within the United States Must be a U.S. Citizen with an active or interim Secret Clearance. @Orchard LLC has an immediate need for a Lead Analytics ...

BRMi

Data Analytics Engineer - Pega CDH

Vienna, VA · On-site

$114K - $138K/yr

Overview BRMi is seeking an experienced Data Analytics Engineer to support analytics and modeling initiatives within a Pega Customer Decision Hub (CDH) environment. This role will focus on building ...

New

BRMi

Data Analytics Engineer - Pega CDH

Vienna, VA · On-site

$114K - $138K/yr

Overview BRMi is seeking an experienced Data Analytics Engineer to support analytics and modeling initiatives within a Pega Customer Decision Hub (CDH) environment. This role will focus on building ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Ashburn, VA

Data Analytics Engineer information

See Ashburn, VA salary details

$45.5K

$132.6K

$181.5K

How much do data analytics engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data analytics engineer in Ashburn, VA is $132,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,100.00 and $140,600.00 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 are the most commonly searched types of Data Analytics Engineer jobs in Ashburn, VA?

The most popular types of Data Analytics Engineer jobs in Ashburn, VA are:

What are popular job titles related to Data Analytics Engineer jobs in Ashburn, VA?

For Data Analytics Engineer jobs in Ashburn, VA, the most frequently searched job titles are:

What job categories do people searching Data Analytics Engineer jobs in Ashburn, VA look for?

The top searched job categories for Data Analytics Engineer jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Data Analytics Engineer jobs?

Cities near Ashburn, VA with the most Data Analytics Engineer job openings:

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Ashburn, VA as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 20% Part Time, and 13% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $132,649 per year, or $63.8 per hour.

Data Analytics Engineer (Datadog)

PROLIM Global Corporation

Frederick, MD • On-site

Full-time

Posted 8 days ago

Job description

PROLIM Global Corporation (www.prolim.com) is currently seeking Data Analytics Engineer for Frederick, Maryland, United State location for one of our Top clients.
Location: Frederick, MD
Experience: 8-12 Years
Duration: 6 Months [ With possible extension]
Job Description:
We are looking for an experienced Data Analytics Engineer with strong hands-on expertise in Datadog and Performance Capacity Management (PCM). The ideal candidate will be responsible for building monitoring dashboards, analyzing application and business performance data, identifying trends, supporting capacity planning, and delivering actionable insights to improve system reliability and business operations.
Key Responsibilities
  • Design, build, and maintain Datadog dashboards, monitors, alerts, and APM solutions.
  • Analyze application, infrastructure, and business performance metrics to identify trends, anomalies, and optimization opportunities.
  • Perform performance and capacity analysis using Performance Capacity Management (PCM) methodologies.
  • Create and maintain dashboards and reports for business and technical stakeholders.
  • Support root cause analysis using Datadog logs, traces, and APM.
  • Develop daily, weekly, and monthly reports on system health, performance, and capacity utilization.
  • Collaborate with Engineering, Operations, and Business teams to define KPIs, SLAs, and SLOs.
  • Translate technical monitoring data into meaningful business insights and recommendations.
  • Maintain documentation for monitoring standards, reporting processes, and capacity management.
  • Recommend process improvements based on data-driven analysis.

Required Skills
  • 8-12 years of experience as a Data Analytics Engineer, Performance Analyst, or similar role.
  • Strong hands-on experience with Datadog (Dashboards, Monitoring, APM, Log Management, Alerting).
  • Experience with Performance Capacity Management (PCM) and Capacity Planning.
  • Strong SQL skills for data analysis and reporting.
  • Experience analyzing system performance and business metrics.
  • Knowledge of KPI, SLA, and SLO monitoring.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work collaboratively with Engineering, Operations, and Business teams.

Preferred Skills
  • Power BI or Tableau.
  • Advanced Microsoft Excel.
  • AWS, Azure, or GCP monitoring experience.
  • Python or R for data analysis and forecasting.
  • Knowledge of ITIL / IT Service Management (ITSM).
  • Datadog or ITIL certification is a plus.

Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Business Analytics, or a related field.

If you're passionate about data analytics, observability, performance monitoring, and capacity management, and have strong Datadog expertise, we'd love to hear from you
About PROLIM Corporation
PROLIM is a leading provider of end-to-end IT, PLM and Engineering Services and Solutions for Global 1000 companies. They understand business as much as technology, and help their customers improve their profitability and efficiency by providing high value technology consulting, staffing, and project management outsourcing services.
Their IT and PLM consulting offerings include; Advisory, PLM Software/Services, Program Management, Solution Architecture Training/Staffing, Cloud Solutions, Servers/Networking, Infrastructure, ERP Practices and QA Services. Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering, Prototyping, and Testing/Validation within a wide range of markets and industries.

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