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Healthcare Data Technology Jobs (NOW HIRING)

Healthcare Data Engineer

New York, NY · Remote

$117K - $140K/yr

Job Requirements Education: Master's or Bachelor's degree in Engineering (IT, Electronics ... Experience with healthcare data and health forms. Analytics: Experience in advanced analytics.

Healthcare Data Architect

Dallas, TX

$63 - $81/hr

Proficiency with real-time streaming technologies such as Apache Kafka * Understanding of Lakehouse ... Strong experience in healthcare data environments, including EMR/EHR systems and Epic and Cerner

Maintains knowledge of technology and systems to ensure proficiency. * Stays up-to-date of changes ... Eagle Physicians will be seen as the healthcare organization of choice by patients, staff and the ...

Healthcare Data Architect

Richmond, VA · On-site

$63 - $81.25/hr

Position: Healthcare Data Architect Location: Richmond, VA Length: 3 months- w/option for extension MUST HAVE Healthcare Payer experience from one of the following companies: Aetna, Cigna, Humana ...

Senior Healthcare Data Analyst

Palo Alto, CA

$101K - $127K/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 ...

Healthcare Data Analyst Sr.

VA · Remote

$88K - $111K/yr

Data Science and Bioinformatics Team - Healthcare Data Analyst Sr. Responsibilities of the Health ... Data Lake technology, such as Databricks Delta Lake, and Data Warehousing ii. iii. * Object ...

Sr. Healthcare Data Analyst - Epic

Dallas, TX · On-site +1

$85K - $107K/yr

Bachelor's degree, preferably in healthcare analytics, computer science, data science, information technology, computer engineering, or other computational quantitative field required. * Master ...

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Healthcare Data Technology information

See salary details

$10

$35

$79

How much do healthcare data technology jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for healthcare data technology in the United States is $35.52, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $48.32 per hour, depending on experience, location, and employer.

What is the difference between Healthcare Data Technology vs Healthcare Data Analyst?

AspectHealthcare Data TechnologyHealthcare Data Analyst
Required CredentialsDegree in Health Informatics, IT, or related field; certifications like Certified Healthcare Technology Specialist (CHTS)Degree in Health Informatics, Data Science, or related field; certifications like Certified Health Data Analyst (CHDA)
Work EnvironmentHealthcare IT departments, hospitals, clinics, health tech companiesHospitals, clinics, research institutions, healthcare consulting firms
Employer & Industry UsageFocuses on implementing and managing healthcare technology systemsAnalyzes healthcare data to improve patient outcomes and operational efficiency

Healthcare Data Technology professionals focus on deploying and maintaining healthcare IT systems, while Healthcare Data Analysts interpret data to support decision-making. Both roles require similar educational backgrounds and certifications but serve different functions within the healthcare industry.

What is healthcare data technology?

Healthcare data technology refers to the use of digital tools and systems to collect, store, manage, and analyze health-related information. This field encompasses electronic health records (EHRs), health information exchanges, data analytics platforms, and other digital solutions aimed at improving patient care, streamlining operations, and supporting medical research. Professionals in healthcare data technology work to ensure data accuracy, security, and accessibility for healthcare providers and patients. The goal is to leverage data to make informed decisions that enhance the quality and efficiency of healthcare services.

What are some common challenges faced by professionals in Healthcare Data Technology roles, and how can they be addressed?

Professionals in Healthcare Data Technology often encounter challenges such as integrating disparate data systems, ensuring patient data privacy, and keeping up with rapidly evolving health IT standards. Effective communication with clinical and administrative teams is essential to understand data needs and workflows. Addressing these challenges typically involves ongoing training in compliance regulations like HIPAA, adopting interoperable systems, and fostering a collaborative environment to bridge gaps between IT and healthcare staff.

What are the key skills and qualifications needed to thrive in Healthcare Data Technology, and why are they important?

To thrive in Healthcare Data Technology, you need a solid background in data analysis, healthcare informatics, and database management, typically supported by a degree in computer science, information systems, or health informatics. Familiarity with tools such as SQL, Python, EHR systems, and certifications like Certified Health Data Analyst (CHDA) are highly valuable. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for ensuring data accuracy and collaborating with clinical teams. These competencies are essential for optimizing healthcare delivery, maintaining data integrity, and supporting informed decision-making in a highly regulated environment.
More about Healthcare Data Technology jobs
Infographic showing various Healthcare Data Technology job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $73,875 per year, or $35.5 per hour.

Healthcare Data Engineer

1 point system

New York, NY • Remote

$117K - $140K/yr

Contractor

Posted 13 days ago


Job description

You will work with the development team to build and maintain our legacy claim auditing system. You will analyze the needs and the environment to ensure the solutions you develop consider the current architecture and operating environment, as well as future functionality and enhancements.

Job Duties & Responsibilities

Domain Expertise: Maintain a strong knowledge of medical claims, member data, and provider data.

Agile Development: Participate actively in Agile-based projects.

System Maintenance: Modify existing programs to align with new standards.

Testing & Deployment:

Conduct unit testing of all developed programs.

Create migration packages for system testing, user testing, and implementation.

Job Requirements

Education: Master’s or Bachelor’s degree in Engineering (IT, Electronics, Communication, Computer Science, or Information Systems).

Database Expertise: Extensive experience with large datasets and relational databases, specifically Microsoft SQL Server.

Technical Stack: Proficiency in SQL, PL/SQL, T-SQL, Hadoop, Python, and Java.

Optimization: Hands-on experience in SQL optimization and tuning using SQL Profiler and Query Execution Plans.

Methodology & Lifecycle:

In-depth understanding of the SDLC.

Experience working in Agile environments.

Data Operations:

Experience with ETL processes and QA within a SQL environment.

Experience addressing operational data issues and ensuring optimal performance.

Healthcare Domain: Experience with healthcare data and health forms.

Analytics: Experience in advanced analytics.

Required Skills

Professionalism: Handles confidential information with sensitivity and maintains high ethical standards.

Interpersonal: Develops positive working relationships and possesses strong communication skills.

Teamwork: Shares ideas and information freely; proactively assists colleagues unprompted.

Mindset: Passionate about technology, self-motivated, and committed to continuous learning.

Desired Skills & Experience

Advanced Frameworks: Knowledge of SAFe (Scaled Agile Framework) or other Agile frameworks.

Big Data Tech: Experience with PySpark and Cloudera Hadoop.

Skills & Competencies

Communication: Excellent verbal and written communication skills.

Adaptability: Strong organizational skills with the ability to adapt to rapidly changing priorities and workloads.

Autonomy: Ability to work well independently and maintain focus in a highly dynamic work environment.

Global Collaboration: Comfort working with remote team members located in the US, India, or other geographies.