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How much do associate data engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for associate data engineer in Park, VA 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?

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 Park, VA? The most popular types of Data Engineer jobs in Park, VA are:
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Associate Data Engineer jobs near you

Research Associate in Chemical Engineering

University of Virginia

Charlottesville, VA • On-site

Full-time

Posted 11 days ago

University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

208th of 617 rated colleges and universities

Job description

We are seeking a Postdoctoral Research Associate (Postdoc) to develop a deep learning pipeline aimed at benchmarking alternative methods for representing proteins and protein surfaces. The Postdoc will join Dr. Camille Bilodeau's research group in the Department of Chemical Engineering at the University of Virginia and will collaborate closely with research partners within the department and at other institutions to lead and contribute to projects involving developing machine learning methods to predict protein properties, using molecular simulations to generate training data, and constructing software pipelines to interface the machine learning or molecular models with transport models.
Key Responsibilities
The Postdoc will play a critical role in advancing our understanding of protein representation in neural networks with an emphasis on surface-based representations and will develop approaches for interfacing deep learning models (trained on simulations and/or experiments) with transport models. Working collaboratively with faculty and research partners at UVA and other institutions, the Postdoc will take ownership of research activities while contributing to the broader mission of the group. Specific responsibilities include:
  • Develop a python-based pipeline to generate machine learning inputs from protein sequence/structure data
  • Develop a Pytorch-based pipeline to predict the properties of proteins based on a wide array of protein representations including both standard and custom representations
  • Perform large scale molecular simulations to generate training data for deep learning models
  • Construct an open-source python-based software package that allows pretrained models to be used in combination with transport models developed by collaborators
  • Lead team meetings and provide regular updates to collaborators
  • Synthesize and disseminate research findings through peer-reviewed publications, technical reports, and presentations
  • Mentor graduate and undergraduate students and contribute to an inclusive and collaborative research environment
  • Contribute to proposal development and identification of new funding opportunities

QUALIFICATION REQUIREMENTS
Candidates must have a Ph.D. in chemical engineering, biomedical engineering, computer science, or a closely related field by the appointment start date. Candidates with expertise in one or more of the following areas will be given priority consideration:
  • Deep learning
  • Molecular simulations
  • Biophysics of proteins
  • Python-based coding/software development

The successful candidate will demonstrate the ability to conduct independent research, communicate effectively across disciplinary boundaries, and work collaboratively with academic, government, and community partners. Experience mentoring students is a plus.
APPLICATION PROCEDURE
Apply online at https://jobs.virginia.edu/us and search for R0085707. and attach the following materials: (1) a cover letter, (2) a comprehensive curriculum vitae, and (3) contact information for three professional references (letters will be requested later). In your cover letter, please describe your research background and interests, how your expertise aligns with this position, and evidence of your ability to conduct independent research. If you have a manuscript currently under review or in preparation that is not yet publicly available, you are encouraged to submit it as an optional writing sample.
APPLICATION DEADLINE
Review of applications will begin on August 7, 2026, but the position will remain open until filled. The University will perform background checks on all new hires prior to employment.
The anticipated start date is September 15, 2026. A later start date may be accommodated.
This position is a one-year appointment; however, the appointment may be renewed for an additional one-year increment, contingent upon available funding and satisfactory performance.
For questions regarding this position, contact Camille Bilodeau ( cur5wz@virginia.edu ).
For questions regarding the application process, contact Rich Haverstrom, Academic Recruiter, at rkh6j@virginia.edu .
For more information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits .
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819

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