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Data Analytics Engineer Jobs in Virginia (NOW HIRING)

Palnar

Data Analytics

Reston, VA · On-site

... engineering, business administration, or other related discipline. Masters degree in a related ... Data Analyst teams to develop and implement the Ab Initio solution - Develop generic solutions ...

Ag

Data Analytics Specialist

Dulles, VA · On-site +1

Bachelors degree in Engineering, Computer Science, Data Science or related field * 10% Domestic and ... and analytics adoption * Fluent in English, both spoken and written * Robust coding abilities ...

Airbus

Data Analytics Specialist

Dulles, VA · On-site

Bachelors degree in Engineering, Computer Science, Data Science or related field * 10% Domestic and ... and analytics adoption * Fluent in English, both spoken and written * Robust coding abilities ...

Mitre

Software Developer, Data Analytics

Mclean, VA · On-site

$115K - $139K/yr

Perform requirements engineering, and systems analysis for the integration of legacy functions and data into enterprise-level data management systems Qualifications: * Hands-on software development ...

MAG Aerospace

$80.50 - $149.50/hr

Position Summary MAG is staffing for a Data Management and Analytics Engineer to transform raw data into strategic intelligence through advanced analytics and data engineering. You'll architect ...

New

Applied Information Sciences

Data Engineer

Alexandria, VA · On-site

$110K - $166K/yr

For this position, we are seeking a talented individual to join AIS as a Senior Data Analytics Engineer. * Core Knowledge & Skills: Optimizes complex SQL; applies advanced data modeling; leads robust ...

Ignite Digital

Data Analyst

Chesapeake, VA

$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 ...

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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 Sep 3, 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.

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?

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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $128,604 per year, or $61.8 per hour.

Data Analytics

Palnar

Reston, VA • On-site

Full-time

Re-posted 27 days ago

Job description


5 Years' Experience
- Bachelor's degree in computer science, decision support systems (DSS), information engineering, business administration, or other related discipline. Masters degree in a related discipline is a plus.
- Experience with hands-on work designing and implementing data integration, Big Data, and/or business intelligence solutions
- Experience in design, development and tuning industry leading ETL, Big Data, and/or Business Intelligence software tools in data intensive, large scale environments.
- Must have hands-on Ab Initio ETL experience in a work (professional) setting.
- Good to have hands-on development experience with Hadoop and the Hadoop ecosystem including tools such as Hive, Spark, Spark Streaming, Kafka, Sqoop, Flume, etc.
- Strong SQL and data modelling skills like 3rd normal form and dimensional modelling
- Strong DB2/or any relational database, Java, and UNIX skills
- Understanding of newer or emerging trends such as Big Data, Columnar databases, NoSQL, Hadoop, MapReduce, social media, data visualization, XML, and unstructured text is a plus.
The responsibilities include, but not limited to:
- Coordinate with Enterprise Big Data Platform development and Data Product teams to understand the requirement
- Coordinate with Big Data, Ab Initio Admin, Data Architecture, and Data Analyst teams to develop and implement the Ab Initio solution
- Develop generic solutions using Ab Initio for new data integration requests
- Analyze and investigate data quality issues reported by Data Product teams
- Coordinate with Development and Prod Support team to investigate and address production issues
- Support releases by validating the data after deployments, as needed
Additional Skills:
- Excellent written and verbal communication
- Good to have hands on experience with CI/CD (Jenkins)
- Developing generic framework and automation
This is a hybrid role and the developer will be engaged in new development and operational tasks

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