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Remote Healthcare Data Engineer Jobs in Virginia

GRVTY

Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

Booz Allen Hamilton, Inc.

Data Engineer, Mid

Alexandria, VA · On-site +1

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: Hybrid Job Number: R0240987 Location: Alexandria,VA,US Share job via: Share Data ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

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All JobsHealthcare Data Engineer JobsRemote Healthcare Data Engineer JobsRemote Healthcare Data Engineer Jobs in Virginia

Remote Healthcare Data Engineer information

What is the difference between Remote Healthcare Data Engineer vs Remote Healthcare Data Analyst?

AspectRemote Healthcare Data EngineerRemote Healthcare Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; experience with data pipelinesBachelor's in Statistics, Data Analysis, or related; proficiency in data visualization
Work EnvironmentDevelops data infrastructure, manages pipelines, collaborates with engineersInterprets data, creates reports, supports decision-making
Industry UsageDesigns data systems for healthcare organizations, research institutionsAnalyzes healthcare data for insights, reporting, and compliance
Common Search/ComparisonOften compared for technical roles in healthcare data managementRelated but focuses on analysis rather than infrastructure

The main difference is that Remote Healthcare Data Engineers build and maintain data systems and pipelines, while Remote Healthcare Data Analysts interpret data and generate reports. Both roles require healthcare industry knowledge, but engineers focus on data infrastructure, whereas analysts focus on data insights.

What skills and qualifications are needed to thrive as a remote healthcare data engineer?

To thrive as a Remote Healthcare Data Engineer, you need expertise in data architecture, database management, and healthcare data standards, often supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, cloud platforms (e.g., AWS or Azure), and knowledge of healthcare-specific systems such as HL7 or FHIR is crucial. Strong problem-solving skills, attention to detail, and effective remote communication are standout soft skills in this role. These competencies ensure secure, accurate handling of sensitive health information and support effective data-driven decisions in healthcare organizations.

How does a remote healthcare data engineer collaborate with clinical and IT teams to ensure data accuracy and security?

Remote Healthcare Data Engineers frequently work cross-functionally with clinical staff, IT professionals, and data analysts to design, implement, and maintain secure data pipelines. They participate in virtual meetings to understand data requirements, clarify data definitions, and ensure compliance with healthcare regulations such as HIPAA. Collaboration tools and secure communication platforms are essential to share updates, resolve issues, and document workflows. This teamwork helps ensure that data is accurate, accessible, and protected, ultimately supporting improved patient outcomes and operational efficiency.

What does a remote healthcare data engineer do?

A Remote Healthcare Data Engineer designs, builds, and maintains data systems that collect, store, and process healthcare data, all while working from a remote location. They ensure that large volumes of medical records, patient information, and other healthcare-related data are organized and secure. Their work supports healthcare providers and researchers in making data-driven decisions, improving patient outcomes, and ensuring compliance with privacy regulations. Remote Healthcare Data Engineers often collaborate with data scientists, analysts, and IT teams to create efficient and scalable data pipelines tailored to the unique needs of healthcare organizations.
What are popular job titles related to Remote Healthcare Data Engineer jobs in Virginia? For Remote Healthcare Data Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Healthcare Data Engineer jobs in Virginia look for? The top searched job categories for Remote Healthcare Data Engineer jobs in Virginia are:
What cities in Virginia are hiring for Remote Healthcare Data Engineer jobs? Cities in Virginia with the most Remote Healthcare Data Engineer job openings:
Remote Healthcare Data Engineer jobs near you
Infographic showing various Remote Healthcare Data Engineer job openings in Virginia as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% Remote job distribution.

Data Engineer

GRVTY

Chantilly, VA • On-site, Remote

$117K - $140K/yr

Full-time

Re-posted 29 days ago

Job description

What Impact You'll Have

GRVTY's team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations.
This is a time of development and growth on the program, with an increasing number of missions being supported. The work is high impact and important, and the customer moves quickly. The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects. The customer cares more about what you can do as opposed to your years of
experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer).

What You'll Be Owning

GRVTY is seeking a Data Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA.  

Responsibilities

  • Develop new tools, code & services to execute data engineering activities. Activities include the following tasks: 
  • Movement of structure & unstructured data using approved methods. Execute data ingestion activities for storing data in a local or enterprise level location. View data in its source format.
  • Develop code to format data that supports exploration. Analyze source data formats & work with Data Scientists & partners to determine the formats & transforms that best meet mission objectives.
  • Develop code and tools to provide one-time & on-going data formatting & transformations into enterprise or boutique data models. Implement existing ETL code & best practices/standards.
  • Develop an ETL Code Transition Plan. Develop & deliver documentation for each project including ETL mappings, code use guide, code location & access instructions.
  • Facilitate Code Reviews. Provide consulting services to support data transport, ingestion, conditioning, access, & management. 

What You Must Have

  • Active TS/SCI with Polygraph Clearance
  • Ability and willingness to quickly learn a new tool 
  • Strong communication skills with both your teammates, and your leads 
  • SQL, Python, Pyspark experience. 
  • Willingness to do development type work when needed (junior level development at best)
  • Ability to be a self starter and ask questions when needed 
  • Comfortable working with and manipulating data in compliance with the offices workflow
  • Extract, Transform and Load (ETL) tools and processes.  
  • AWS 
  • APIs 
  • Linux 
  • Geospatial tools/data 

What Would Be Nice to Have

  • Palantir Foundry Experience
  • Kubeflow 
  • Experience with OCR and text extraction of PDFs. 
  • Experience with data validation / data quality after ETLing to be sure it's ready for end users
  • Docker
  • Jenkins
  • Hadoop/Spark
  • Kibana
  • Kafka
  • NiFi
  • ElasticSearch  

Apply