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Associate Data Engineer Jobs in Virginia Beach, VA

Sentara Healthcare

Data Engineer - Remote

Virginia Beach, VA · On-site +1

$108K - $130K/yr

Sentara is hiring a Data Engineer! This is a fully remote position. Work Location: Remote ... For positions that are available as remote work, Sentara Health employs associates in the following ...

CDIT LLC

AI Engineer

Norfolk, VA · On-site

The engineer will work directly with data scientists, software engineers, Navy subject-matter ... Associate or Professional • Certified Ethical Hacker (CEH) or CISSP

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All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Virginia Beach, VA

Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for associate data engineer in Virginia Beach, VA is $17.78, according to ZipRecruiter salary data. Most workers in this role earn between $14.62 and $18.94 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 Virginia Beach, VA? The most popular types of Data Engineer jobs in Virginia Beach, VA are:
What are popular job titles related to Associate Data Engineer jobs in Virginia Beach, VA? For Associate Data Engineer jobs in Virginia Beach, VA, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineer jobs in Virginia Beach, VA look for? The top searched job categories for Associate Data Engineer jobs in Virginia Beach, VA are:
What cities near Virginia Beach, VA are hiring for Associate Data Engineer jobs? Cities near Virginia Beach, VA with the most Associate Data Engineer job openings:
Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in Virginia Beach, VA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $36,987 per year, or $17.8 per hour.

Data Engineer - Remote

Sentara Healthcare

Virginia Beach, VA • On-site, Remote

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Sentara Health rating

6.8

Company rating: 6.8 out of 10

Based on 398 frontline employees who took The Breakroom Quiz

491st of 887 rated healthcare providers

Job description

City/State
Virginia Beach, VA
Work Shift
First (Days)
Overview:
Sentara is hiring a Data Engineer!
This is a fully remote position.
Work Location:
Remote opportunities available in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington (state), West Virginia, Wisconsin, Wyoming
Overview
We are looking for a Data Engineer to support a modern data platform built on Databricks. This role will focus on building scalable data pipelines, supporting a metadata-driven ingestion framework, and ensuring data quality and governance are embedded into the platform.
Key Responsibilities
  • Develop and maintain data pipelines using PySpark and Databricks
  • Work within a metadata-driven ingestion framework to onboard new datasets
  • Implement data quality checks and validation rules within pipelines
  • Support ingestion from file-based sources and ingestion tools (e.g., Fivetran)
  • Handle schema changes, incremental loads, and file processing patterns
  • Contribute to data governance practices including tagging, metadata, and lineage
  • Troubleshoot and resolve pipeline failures and performance issues
  • Collaborate with architects and stakeholders on data onboarding and requirements
  • Follow and contribute to coding standards, reusable components, and best practices

Education
  • Experience in lieu of a Bachelor's Degree
  • 3+ years of relevant experience with a degree
  • 5+ years of relevant experience without a degree

Certification/Licensure
  • No specific certification or licensure requirements

Experience
  • Required to 3 to 5 years of relevant experience
  • Hands-on experience with PySpark and Databricks
  • Strong SQL skills
  • Experience building ETL/ELT data pipelines
  • Understanding of Delta Lake concepts (merge, schema evolution, partitions)
  • Familiarity with cloud platforms (Azure preferred)
  • Basic experience with Git and version control
  • Exposure to data catalog or governance tools (e.g., DataHub)
  • Experience with Fivetran or similar ingestion tools
  • Understanding of data quality and validation concepts
  • Experience working with metadata-driven frameworks
  • Strong problem-solving and debugging skills
  • Ability to work in a structured, framework-driven environment
  • Focus on data quality, not just pipeline execution
  • Willingness to learn and adapt in a fast-evolving data ecosystem

We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is: 80,204.80 - 133,681.60. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.
Keywords: Data Engineer, Azure, ACP, Azure Cloud Platform, Fivetran, metadata, PySpark, Databricks
Benefits: Caring For Your Family and Your Career
• Medical, Dental, Vision plans
• Adoption, Fertility and Surrogacy Reimbursement up to 10,000
• Paid Time Off and Sick Leave
• Paid Parental & Family Caregiver Leave
• Emergency Backup Care
• Long-Term, Short-Term Disability, and Critical Illness plans
• Life Insurance
• 401k/403B with Employer Match
• Tuition Assistance - 5,250/year and discounted educational opportunities through Guild Education
• Student Debt Pay Down - 10,000
• Reimbursement for certifications and free access to complete CEUs and professional development
• Pet Insurance
• Legal Resources Plan
• Colleagues have the opportunity to earn an annual discretionary bonus if established system and employee eligibility criteria is met.
Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves.
In support of our mission "to improve health every day," this is a tobacco-free environment.
For positions that are available as remote work, Sentara Health employs associates in the following states:
Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

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