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Data Analytics Engineer Jobs in Virginia Beach, VA

Ignite Digital

Data Analyst

Chesapeake, VA · On-site

$90K/yr

Ignite Digital is seeking a MidLevel Data Analyst to support a US Navy data analytics, cloud ... Collaborate with analysts, developers, and system engineers to design and implement datacentric ...

Leidos

Data Analytics Instructor

Hampton, VA · On-site

$65K - $118K/yr

... prompt engineering and automated workflow creation. * Instruct personnel on the underlying ... Familiarity with basic data analytics, LLMs, and AI/ML related concepts * Understanding of ...

Leidos

Data Analytics Instructor

Hampton, VA · On-site

$65K - $118K/yr

... prompt engineering and automated workflow creation. * Instruct personnel on the underlying ... Familiarity with basic data analytics, LLMs, and AI/ML related concepts * Understanding of ...

Ignite Digital

Senior Data Analyst

Chesapeake, VA · On-site

$100K/yr

... analytics engineering, or related disciplines. * Expert-level proficiency in R or Python, SQL, and ... Experience with data governance, data quality, and enterprise data management principles. Education:

Standard Calibrations Inc

Data Engineer

Chesapeake, VA

$85K - $105K/yr

Description We are seeking a Data Engineer to help us build and scale the data infrastructure that ... You will help define our technical foundation, accelerate analytics maturity, and enable teams ...

Standard Calibrations, Inc

Data Engineer

Chesapeake, VA · On-site

$85K - $105K/yr

You will help define our technical foundation, accelerate analytics maturity, and enable teams ... Advocate for best practices in data management, engineering, and analytics. * Contribute to ...

Standard Calibrations Inc

Data Engineer

Chesapeake, VA · On-site

$85K - $105K/yr

We are seeking a Data Engineer to help us build and scale the data infrastructure that powers ... You will help define our technical foundation, accelerate analytics maturity, and enable teams ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Virginia Beach, VA

Data Analytics Engineer information

See Virginia Beach, VA salary details

$42.2K

$123.1K

$168.5K

How much do data analytics engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data analytics engineer in Virginia Beach, VA is $123,104.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,700.00 and $130,500.00 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 Virginia Beach, VA?

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

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

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

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

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

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

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

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Virginia Beach, VA 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 $123,104 per year, or $59.2 per hour.

Data, Analytics, & Integration Engineer

MIRLOGIC SOLUTIONS CORPORATION

Cape Charles, VA • On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Job description

Position: Data, Analytics, & Integration Engineer

Location: Onsite (MirLogic HQ – Alexandria)

Clearance: Secret


About Us:

Founded in 2008 and headquartered in Alexandria, Virginia, MirLogic Solutions Corporation is a Small Business delivering innovative IT, cybersecurity, cloud, and digital transformation solutions to Federal Government customers. With more than 30 years of industry experience, our leadership team is committed to helping agencies modernize technology, strengthen security, and achieve mission success. At MirLogic, our people are our greatest asset. We foster a collaborative culture that values integrity, innovation, and professional growth while providing employees with the opportunity to work on meaningful projects that support critical government missions.

Benefits

MirLogic offers a competitive compensation and benefits package, including:

  • Medical, Dental, and Vision Insurance
  • Paid Time Off (PTO) and Paid Holidays
  • 401(k) Retirement Plan
  • Company-Paid Life Insurance
  • Short-Term and Long-Term Disability Insurance
  • Commuter Benefits
  • Professional Development Opportunities


Primary Responsibilities:

  • Design, develop, and maintain Power BI dashboards and reports supporting executive, operational, and store-level reporting.
  • Build and maintain enterprise data models, semantic layers, and DAX measures to deliver meaningful business insights and KPIs.
  • Transform, integrate, and validate data from Microsoft 365, SharePoint, SQL Server, Azure, and other enterprise systems.
  • Develop reporting processes, data quality standards, and dashboard performance monitoring.
  • Collaborate with application developers and business stakeholders to define reporting requirements and support data-driven decision making.
  • Recommend improvements to reporting architecture, analytics, and overall data quality.


Minimum Qualification(s):

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Information Technology, or a related field (preferred).
  • Five (5)+ years of experience in business intelligence, data analytics, or data engineering.
  • Four (4)+ years of Microsoft Power BI development.
  • Experience designing enterprise reporting solutions, dashboards, and data models.
  • Experience integrating data from Microsoft 365, SharePoint, SQL Server, or similar enterprise platforms.


Required Technical Skills:

  • Microsoft Power BI, Power Query, and DAX.
  • SQL querying and enterprise data modeling.
  • Microsoft 365 and SharePoint data integration.
  • Azure data services and API integration concepts.
  • Data quality management and KPI development.
  • Strong analytical, troubleshooting, and problem-solving skills.


Preferred Qualifications:

  • Experience with Microsoft Fabric, Azure Synapse, or Azure Data Factory.
  • Experience with Power Platform, Python, or R.
  • Experience implementing Power BI Row-Level Security (RLS).
  • Microsoft Power BI, Azure, Fabric, SQL, or related analytics certifications.