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Associate Data Engineering Jobs in Virginia (NOW HIRING)

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 ...

Capital One

Principal Associate, Data Scientist

Mclean, VA

$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 ...

Cmu

Associate Data Scientist

Arlington, VA · On-site

$67K - $68K/yr

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy ...

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All JobsAssociate Data Engineering JobsAssociate Data Engineering Jobs in Virginia

Associate Data Engineering information

What are some typical projects an Associate Data Engineer might work on in their first year?

In their first year, an Associate Data Engineer often works on building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of new data sources. They may also assist in optimizing existing data workflows for better performance and reliability, as well as collaborating closely with data analysts and senior engineers to ensure data quality and accessibility. These projects help new team members develop a strong understanding of the organization's data infrastructure and best practices in data engineering.

What does an associate data engineer do?

An associate data engineer supports data collection, processing, and storage by developing and maintaining data pipelines and workflows. They often work with tools like SQL, Python, and cloud platforms, and may assist in data quality and integration tasks under the supervision of senior engineers.

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, a solid understanding of database systems, SQL, data modeling, and a relevant bachelor's degree in computer science or a related field is essential. Familiarity with ETL tools, cloud platforms like AWS or Azure, and programming languages such as Python or Java is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help set candidates apart in collaborative, data-driven environments. These skills and qualities are crucial for building reliable data pipelines, ensuring data quality, and enabling actionable business insights.

What is an Associate Data Engineer?

An Associate Data Engineer is an entry-level professional who assists in designing, building, and maintaining data pipelines and infrastructure. They typically work with senior data engineers to ensure data is collected, stored, and processed efficiently for analytics and business use. Responsibilities often include data cleaning, integration, and supporting the development of scalable data solutions. Associate Data Engineers usually have foundational knowledge of programming, databases, and cloud technologies.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation often involves leadership roles, specialized knowledge, or working in high-demand industries such as finance or technology. Achieving this level typically requires a combination of technical proficiency, certifications, and strategic career development.

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

AspectAssociate Data EngineeringData Engineer
Required CredentialsBachelor's degree in CS, IT, or related field; some certificationsBachelor's or master's degree; extensive experience preferred
Work EnvironmentEntry-level, team-focused, supporting data pipelinesDesigning, building, and maintaining large-scale data systems
Employer & Industry UsageCommon in tech companies, finance, healthcareUsed across industries for advanced data infrastructure roles
Search & Comparison IntentEntry-level, learning, support rolesAdvanced, specialized data infrastructure roles

The main difference between Associate Data Engineering and Data Engineer lies in experience and responsibilities. Associate Data Engineers are typically entry-level, focusing on supporting data pipelines and gaining hands-on experience. Data Engineers have more experience, handling complex data architecture, optimization, and system design. Both roles require similar educational backgrounds, but Data Engineers usually have more technical expertise and responsibility.

Can I make 200K as a data engineer?

Senior data engineers with extensive experience, specialized skills in tools like Spark or cloud platforms, and working in high-cost-of-living areas can earn salaries around or above $200,000 annually. Entry-level or mid-level data engineers typically earn less, with salaries increasing with expertise, certifications, and industry demand.

What engineers make 200,000 a year?

Senior data engineers and specialized software engineers often earn $200,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and certifications. High salaries are common in competitive markets and large organizations that require complex data infrastructure and engineering expertise.
What are the most commonly searched types of Data Engineering jobs in Virginia? The most popular types of Data Engineering jobs in Virginia are:
What cities in Virginia are hiring for Associate Data Engineering jobs? Cities in Virginia with the most Associate Data Engineering job openings:
Associate Data Engineering jobs near you
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 1 day ago. 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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