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Associate Data Engineer Jobs in Virginia (NOW HIRING)

VivSoft Technologies LLC

Data Engineer

Herndon, VA · On-site +1

$117K - $141K/yr

AWS Certified Data Engineer - Associate, AWS Certified Solutions Architect, Certified Data Management Professional (CDMP), Security+ or equivalent DoD 8140/8570 certification, or Certified Scrum ...

Pwc

Data Engineer - Senior Associate

Richmond, VA

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Nightwing

Data Engineer

Sterling, VA · On-site

$113K - $136K/yr

Azure Data Engineer Associate * Google Cloud Certified Professional Cloud Data Engineer * IBM Data Engineering Professional Certificate * IBM Data Warehouse Engineer Professional Certificate * Meta ...

Nwis

Data Engineer

Sterling, VA

$113K - $136K/yr

Azure Data Engineer Associate * Google Cloud Certified Professional Cloud Data Engineer * IBM Data Engineering Professional Certificate * IBM Data Warehouse Engineer Professional Certificate * Meta ...

Nightwing

Data Engineer

Sterling, VA · On-site

$113K - $136K/yr

Azure Data Engineer Associate • Google Cloud Certified Professional Cloud Data Engineer • IBM Data Engineering Professional Certificate • IBM Data Warehouse Engineer Professional Certificate ...

Entarian

Data Engineer

Yorktown, VA

$101K - $121K/yr

AWS Certified Solutions Architect or AWS Certified Data Engineer or similar equivalent Cloud environment certification or Oracle Database Certified Associate or equivalent Database Certification ...

Accenture Federal Services

Data Engineer

Arlington, VA

$93K - $176K/yr

Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar As required by local ...

Capital One

Principal Associate, Data Scientist

Mclean, VA · On-site

$59K - $60K/yr

Principal Associate, Data Scientist Data is at the center of everything we do. As a startup, we ... Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of ...

Cypress HCM

Sr. Data Center Technician

Ashburn, VA

$40 - $50.60/hr

As a Senior Data Center Technician, you will act as a point of escalation for L1 associate data center engineers and L2 data center engineers. This position will work directly with our contracted L2 ...

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All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Virginia

Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for associate data engineer in Virginia is $18.58, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $19.76 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate Data Engineer, and why are they important?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

What does an Associate Data Engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are some common challenges an Associate Data Engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.
What are the most commonly searched types of Data Engineer jobs in Virginia? The most popular types of Data Engineer jobs in Virginia are:
What are popular job titles related to Associate Data Engineer jobs in Virginia? For Associate Data Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineer jobs in Virginia look for? The top searched job categories for Associate Data Engineer jobs in Virginia are:
What cities in Virginia are hiring for Associate Data Engineer jobs? Cities in Virginia with the most Associate Data Engineer job openings:
Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 67% Full Time, 30% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $38,640 per year, or $18.6 per hour.
Associate Biostatistician / Associate Data Scientist

Associate Biostatistician / Associate Data Scientist

United Network for Organ Sharing

Richmond, VA • On-site

$58K - $59K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Description

Position Description

UNOS is seeking an Associate Biostatistician / Associate Data Scientist to support data-driven research, analytics, and initiatives aligned with organizational priorities.

This role is designed for early-career professionals seeking to build foundational skills in biostatistics and data science within a healthcare research setting. In this role, you will work with complex datasets under guidance to support research and analytical efforts. You will apply established statistical and analytical methods to solve well-defined problems while developing expertise in transplantation, healthcare data, and organizational processes.

Key Responsibilities

  • Execute analysis plans using statistical and data science methods (e.g., regression, survival analysis, predictive modeling, machine learning)
  • Support data cleaning, management, and transformation
  • Execute analyses that generate insights and support decision-making
  • Prepare summaries, visualizations, and reports for a range of audiences
  • Contribute to research projects, analytical initiatives, and data-driven product development efforts
  • Collaborate with cross-functional teams including research, data engineering, software development, and DevOps to support model development and deployment
  • Build and maintain reproducible analytical workflows and contribute to shared codebases following established development standards
  • Support the development, testing, and implementation of statistical and machine learning models under the guidance of more experienced team members
  • Use AI-assisted tools (e.g., Copilot, Claude, or similar) to enhance coding, analysis, and documentation workflows
  • Participate in quality checks to ensure accuracy, reproducibility, and reliability of results
  • Manage assignments and meet deadlines with guidance
  • Support development of manuscripts, abstracts, and presentations
  • Actively develop skills through mentorship and training

Minimum Requirements

  • Minimum 2 years of experience in statistical analysis or data science (including graduate research experience).
  • Experience working with real-world datasets and analytical tools

Critical Skills

  • Foundational statistical analysis
  • Data manipulation, management, and reproducible workflows
  • Programming in R, Python, SQL, or similar tools
  • Experience with version control systems (e.g., Git)
  • Strong problem-solving skills and attention to detail
  • Effective written and verbal communication skills
  • Willingness to learn new tools, methods, and subject areas

Preferred Skills & Qualifications

  • Experience working with healthcare or health-related data
  • Experience with data visualization tools (e.g., Tableau, Power BI, or similar)
  • Exposure to machine learning concepts or predictive modeling
  • Familiarity with cloud platforms, big data tools, or high-performance computing
  • Exposure to model deployment or data engineering concepts through coursework or projects
  • Experience contributing to presentations or publications

Education

  • Master's degree in Statistics, Biostatistics, Data Science, Computer Science, Bioinformatics, or a related field.

Physical Requirements

  • General office demands
    • Prolonged periods of sitting at a desk and working on a computer.
    • Frequent reaching, handling, and fine manipulation for using office equipment, filing, and managing paperwork.
    • Manual dexterity sufficient to operate a keyboard, mouse, and other office tools.
    • Occasional standing, walking, and bending.
    • Ability to lift up to 10-20 pounds occasionally.
    • Vision abilities required include close vision for computer work and reading documents.
    • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

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