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Remote Data Platform Engineer Jobs in Chesapeake, VA

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 ... Familiarity with cloud platforms (Azure preferred) * Basic experience with Git and version control

... healthcare data platform. You will bridge the gap between engineering and operations-embedding ... This is a remote position. While performing the duties of this job, the employee regularly works in ...

Data Scientist

Suffolk, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0245322 Location: Suffolk,VA,US Share job via: Share Data ... Experience with software development or engineering, including in an academic or professional ...

We combine quality data-driven solutions that fuel answers, technology that advances performance ... Familiarity with other cloud platforms (Azure, Google Cloud) * AI/ML skills *Commence' headquarters ...

Systems Engineer

Hampton, VA · Remote

$80K - $120K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is looking for a Data Integrity Associate System Engineer to join our team of the Air Operations Center Weapons System (AOC WS) Falconer ...

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Remote Data Platform Engineer information

See Chesapeake, VA salary details

$43.2K

$126K

$172.4K

How much do remote data platform engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote data platform engineer in Chesapeake, VA is $125,979.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,200.00 and $133,500.00 per year, depending on experience, location, and employer.

What is a remote data platform engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.

What are the key skills and qualifications needed to thrive as a remote data platform engineer?

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a remote data platform engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

What is the difference between Remote Data Platform Engineer vs Data Engineer?

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

What are popular job titles related to Remote Data Platform Engineer jobs in Chesapeake, VA?

For Remote Data Platform Engineer jobs in Chesapeake, VA, the most frequently searched job titles are:

What job categories do people searching Remote Data Platform Engineer jobs in Chesapeake, VA look for?

The top searched job categories for Remote Data Platform Engineer jobs in Chesapeake, VA are:

What cities near Chesapeake, VA are hiring for Remote Data Platform Engineer jobs?

Cities near Chesapeake, VA with the most Remote Data Platform Engineer job openings:

Data Engineer - Remote

Sentara Healthcare

Virginia Beach, VA • On-site, Remote

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Sentara Health rating

6.7

Company rating: 6.7 out of 10

Based on 412 frontline employees who took The Breakroom Quiz

534th of 893 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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