ZipRecruiter

Log In

2

Remote Healthcare Data Engineer Jobs in Houston, TX

Johnson Service Group

Be Seen First

Data Migration Engineer

Pearland, TX · Remote

$65/hr

... healthcare data from legacy applications into the client's Clinical Data Repository. 100% remote ... In addition to executing migration activities, the engineer will provide technical guidance during ...

next page

Showing results 1-20

All JobsHealthcare Data Engineer JobsRemote Healthcare Data Engineer JobsRemote Healthcare Data Engineer Jobs in Houston, TX

Remote Healthcare Data Engineer information

See Houston, TX salary details

$42.5K

$123.9K

$169.5K

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

As of Aug 30, 2026, the average yearly pay for remote healthcare data engineer in Houston, TX is $123,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $131,300.00 per year, depending on experience, location, and employer.

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 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 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 are popular job titles related to Remote Healthcare Data Engineer jobs in Houston, TX?

For Remote Healthcare Data Engineer jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Remote Healthcare Data Engineer jobs in Houston, TX look for?

The top searched job categories for Remote Healthcare Data Engineer jobs in Houston, TX are:

What cities near Houston, TX are hiring for Remote Healthcare Data Engineer jobs?

Cities near Houston, TX 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 Houston, TX as of June 2026, with employment types broken down into 76% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $123,876 per year, or $59.6 per hour.

W2 Only :: Snowflake Data Engineer - (HL7 / Healthcare Data) exp. Must- need 10+ Yrs profiles

Houston, TX • Remote

Noblesoft Technologies
Software Development • 51 - 200 employees
Learn more about Noblesoft Technologiesexternal

$117K - $140K/yr

Contractor

Re-posted 25 days ago

Job description

W2 Contract Only
 
Job Description – Snowflake Data Engineer (HL7 / Healthcare Data) 

Role Overview
- Design and implement Snowflake-based data platform using Medallion Architecture
- Work on HL7, DICOM, and SQL Server data pipelines
Skill :
Snowflake – 5/5
Mssql – 5/5
.Net – 5/5
Healthcare Background(hl7) : 3/5
Key Responsibilities
- Gather requirements and analyze existing HL7 → SQL Server → ETL workflows
- Design Bronze, Silver, Gold layers in Snowflake
- Build data ingestion pipelines for HL7 messages (ADT, ORM, ORU)
- Parse and map HL7 data into structured relational models
- Perform data transformation, cleansing, and normalization
- Reverse engineer SQL Server databases (tables, SPs, jobs, dependencies)
- Migrate ETL and batch jobs to Snowflake (Tasks/Streams/ADF/Airflow)
- Develop data models (fact & dimension tables) for analytics
- Ensure data quality, lineage, and governance
- Implement scheduling, monitoring, and performance optimization
Required Skills
- Strong experience in Snowflake (Medallion Architecture)
- Expertise in SQL Server (Schema, SPs, Jobs, Performance tuning)
- Knowledge of HL7 data structures & healthcare workflows
- Experience in ETL/ELT tools (ADF, Airflow, etc.)
- Data modeling (Dimensional / Star Schema)
- Handling semi-structured data (JSON/VARIANT)
Good to Have
- DICOM data exposure
- Real-time streaming (Kafka/Event Hub)
- Healthcare domain experience
- Data governance & security (HIPAA awareness)
Deliverables
- Data architecture design
- HL7-to-Snowflake mapping documentation
- Pipeline implementations
- SQL Server reverse engineering artifacts
- Reporting-ready data models