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Healthcare Data Modeling Jobs (NOW HIRING)

Health Care Data Engineer

New York, NY ยท On-site

$125K - $150K/yr

Experience with healthcare data and leading data teams * Agile development experience * Strong problem-solving and communication skills Responsibilities * Design and maintain scalable data pipelines ...

We are seeking a Healthcare Data Scientist (Real-World Evidence) to answer complex healthcare and ... R also welcome) to define cohorts, model patient journeys, and generate rigorous, reproducible ...

Senior Healthcare Data Analyst

Palo Alto, CA ยท On-site

$120K - $150K/yr

Latica is a secure data network and medical intelligence platform that gives the healthcare ecosystem the ability to quickly and safely access de-identified real-world health and patient data to ...

New

Health and Dependent Care Reimbursement Accounts * Insurance (Accident, Critical Illness , Hospital ... and physical data models for Authorized Data Store (ADS) aligned with business domains and ...

Required Skills Bachelor's Degree in related technical field of study. 12+ year's data modeling ... Experience with Healthcare data a big plus. Additional Information If you are interested in the ...

... model allow our health plan partners to deliver high-quality, value-based care to millions of ... The Technology & Data team is seeking an experienced Data Engineer II to support the design ...

AI Data Engineer

Boston, MA ยท On-site +1

$124K - $149K/yr

... models. This individual will be responsible for the entire data lifecycle, including gathering, cleaning, structuring, and optimizing large, diverse healthcare datasets. The ideal candidate will have ...

AI Data Engineer

Boston, MA ยท On-site +1

$124K - $149K/yr

... models. This individual will be responsible for the entire data lifecycle, including gathering, cleaning, structuring, and optimizing large, diverse healthcare datasets. The ideal candidate will have ...

Showing results 41-60

Healthcare Data Modeling information

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$10

$58

$83

How much do healthcare data modeling jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for healthcare data modeling in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.

What is healthcare data modeling?

Healthcare data modeling is the process of designing and structuring data systems to accurately represent, organize, and analyze healthcare information. This involves creating conceptual, logical, and physical models to ensure that data from sources like electronic health records, billing systems, and clinical databases can be integrated and used effectively. Effective data modeling helps healthcare organizations improve patient care, streamline operations, and comply with regulatory requirements by making data more accessible and meaningful for analysis and decision-making.

What are the key skills and qualifications needed to thrive as a healthcare data modeler?

To thrive as a Healthcare Data Modeler, you need expertise in data modeling concepts, healthcare data standards, and a background in computer science, information systems, or a related field. Proficiency with tools like SQL, ERwin, UML, and knowledge of HL7/FHIR standards is typically required, and certifications in data management or healthcare informatics are beneficial. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting complex data requirements and collaborating with diverse stakeholders. These capabilities are crucial for ensuring accurate, interoperable healthcare data solutions that support clinical decision-making and regulatory compliance.

What are some common challenges faced by professionals in healthcare data modeling, and how can they be addressed?

Healthcare data modeling professionals often encounter challenges such as integrating data from diverse sources, ensuring data privacy, and dealing with incomplete or inconsistent datasets. Addressing these issues typically involves collaborating closely with IT, clinical, and compliance teams to standardize data formats and adhere to regulatory requirements like HIPAA. Regular communication with stakeholders and ongoing training in the latest data management tools can also help overcome these obstacles, ensuring that data models remain accurate and actionable for healthcare decision-making.

What is the difference between Healthcare Data Modeling vs Healthcare Data Analysis?

AspectHealthcare Data ModelingHealthcare Data Analysis
Primary FocusDesigning data structures and models for healthcare data systemsInterpreting and analyzing healthcare data to derive insights
Skills & CertificationsData modeling, database design, SQL, healthcare informaticsStatistical analysis, data visualization, SQL, healthcare analytics tools
Work EnvironmentHealthcare IT teams, data warehouses, EHR systemsResearch teams, healthcare organizations, analytics departments
Industry UsageDeveloping healthcare data infrastructureImproving patient outcomes through data insights

Healthcare Data Modeling focuses on creating the structure for healthcare data systems, ensuring data is stored efficiently and accurately. Healthcare Data Analysis involves examining healthcare data to identify trends and support decision-making. Both roles are essential in healthcare IT but serve different purposes within the data lifecycle.

What other helpful pages are available for Healthcare Data Modeling?

Other pages related to Healthcare Data Modeling:

Infographic showing various Healthcare Data Modeling job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,123 per year, or $58.7 per hour.

Health Care Data Engineer

New York, NY โ€ข On-site

Saransh Inc
IT Servicesย โ€ขย 51 - 200 employees

$125K - $150K/yr

Contractor

Re-posted 22 days ago


Job description

 
 

Senior Data Engineer – Position Summary

The Senior Data Engineer designs and leads scalable data architectures and pipelines to support analytics and business intelligence. This role focuses on data optimization, workflow automation, and ensuring reliable data operations in a cloud-based environment.

Minimum Qualifications

  • 8+ years of IT experience, with 5+ years in:
  • Python, PySpark, and SQL for big data processing
  • Data lakes (Iceberg format), ETL (Informatica), and data quality
  • AWS services: S3, Glue, Redshift, Lambda, EMR, Airflow, Postgres
  • BASH/Shell scripting
  • Experience with healthcare data and leading data teams
  • Agile development experience
  • Strong problem-solving and communication skills

Responsibilities

  • Design and maintain scalable data pipelines and architectures
  • Lead data projects and ensure best practices
  • Collaborate across teams to meet data needs
  • Optimize data systems for analytics and reporting
Ensure data quality and system reliability in production environments