ZipRecruiter

Log In

1

Healthcare Data Engineer Jobs in Texas (NOW HIRING)

MPOWERHealth

Data Engineer

Addison, TX · On-site

$120 - $150/hr

Overview The Data Engineer will play a lead role in acquiring, transforming, and integrating data ... Strong expertise in healthcare data domains is highly preferred. NOTE: THIS IS A HYBRID ROLE. MUST ...

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · Remote

$113K - $136K/yr

Our client is a leading healthcare technology company, dedicated to transforming the patient and ... Strong programming skills in Python & SQL and at least one major data platform ( Snowflake ...

Astera Cancer Care

Sr. Data Engineer

Austin, TX · On-site

$130 - $170/hr

Stay current with emerging technologies and industry standards, applying best practices in healthcare data engineering & development. Additional responsibilities as assigned to help drive our mission ...

New

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · On-site +1

$113K - $136K/yr

Our client is a leading healthcare technology company, dedicated to transforming the patient and ... Strong programming skills in Python & SQL and at least one major data platform ( Snowflake ...

MPOWERHealth

Sr. Data Engineer

Addison, TX · Hybrid

$102K - $139K/yr

Overview The Senior Data Engineer will play a lead role in acquiring, transforming, and integrating ... Strong expertise in healthcare data domains is highly preferred. NOTE: THIS IS A HYBRID ROLE. MUST ...

previous pagenext page

Showing results 21-40

All JobsHealthcare Data Engineer JobsHealthcare Data Engineer Jobs in Texas

Healthcare Data Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do healthcare data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for healthcare data engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What is a healthcare data engineer?

A Healthcare Data Engineer is responsible for designing, building, and maintaining data infrastructure in the healthcare industry. They work with large datasets from electronic health records (EHRs), medical devices, and other sources to ensure data is stored, processed, and accessed efficiently. Their role includes developing data pipelines, ensuring compliance with healthcare data regulations (such as HIPAA), and optimizing data for analytics and machine learning. By enabling secure and efficient data management, Healthcare Data Engineers help improve patient care, streamline operations, and support medical research.

What are some typical projects or challenges a healthcare data engineer might face in their day-to-day work?

As a Healthcare Data Engineer, you may work on projects such as designing data pipelines to aggregate data from multiple EHR systems, ensuring data integrity and security throughout the process. A common challenge in this role is working with complex, sensitive datasets that must remain compliant with healthcare privacy regulations while still being accessible and useful for analysis. You’ll likely collaborate closely with data scientists, clinicians, and IT teams to understand data requirements and optimize system performance. Troubleshooting data quality issues and continuously improving data architecture are regular tasks, making adaptability and continuous learning important for ongoing success.

What are the key skills and qualifications needed to thrive as a healthcare data engineer, and why are they important?

To thrive as a Healthcare Data Engineer, you need a solid background in computer science, data modeling, and understanding of healthcare data standards, often supported by a relevant degree and experience with big data technologies. Proficiency in programming languages like SQL, Python or R, knowledge of data warehousing solutions, and familiarity with HIPAA regulations or health information systems are typically required, along with certifications such as AWS Certified Data Analytics or Certified Health Data Analyst (CHDA). Strong problem-solving abilities, attention to detail, and effective communication skills are highly valued for collaborating with cross-functional teams. These skills are essential for building secure, reliable data systems that support healthcare analytics and ensure regulatory compliance.

How do you become a healthcare data engineer?

To become a healthcare data engineer, one typically needs a bachelor's degree in computer science, data science, or a related field, along with experience in data management, programming languages like Python or SQL, and familiarity with healthcare data standards such as HL7 or FHIR. Gaining knowledge of healthcare regulations like HIPAA and obtaining relevant certifications can also enhance job prospects. Practical experience with data pipelines, cloud platforms, and database systems is essential for this role.

What are the most commonly searched types of Healthcare Data Engineer jobs in Texas?

The most popular types of Healthcare Data Engineer jobs in Texas are:

What are popular job titles related to Healthcare Data Engineer jobs in Texas?

For Healthcare Data Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Healthcare Data Engineer jobs in Texas look for?

The top searched job categories for Healthcare Data Engineer jobs in Texas are:

What cities in Texas are hiring for Healthcare Data Engineer jobs?

Cities in Texas with the most Healthcare Data Engineer job openings:

Healthcare Data Engineer jobs near you
Infographic showing various Healthcare Data Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

Data Analyst/Data Engineer (Healthcare) (69269)

PRIORITY MANAGEMENT

Dallas, TX • On-site

$125K - $145K/yr

Full-time

Re-posted 10 days ago

Job description

Salary $125,000-$145,000

Data Analyst /Data Engineer (Healthcare)

Location: Downtown Dallas, TX (In-Office)
Company: Priority Management Group

About the Role

Priority Management Group is seeking a Data Engineer with strong analytics capabilities to help build and scale our internal data infrastructure. This role will play a critical part in designing how our organization collects, organizes, and analyzes operational, financial, and clinical data across our healthcare facilities.

This position is ideal for someone who enjoys building data pipelines and infrastructure, but also has the ability to analyze the data and turn it into actionable insights for leadership.

You will work closely with our IT, finance, and operations teams to transform raw data from multiple systems into reliable dashboards and reports that drive better decision-making across the company.

This is a full-time, in-office role located in Downtown Dallas.

Key Responsibilities

Data Analytics & Reporting

  • Develop and maintain operational, financial, and clinical dashboards using Tableau and/or Power BI
  • Write advanced SQL queries for data extraction, transformation, and validation
  • Use Python for automation, data cleaning, and advanced analysis
  • Build recurring reports related to:
    • Census trends
    • Reimbursement & payer mix
    • Labor productivity
    • Clinical performance metrics
    • Revenue cycle metrics

Data Engineering & Infrastructure

  • Design, build, and maintain data pipelines and centralized datasets from multiple healthcare systems
  • Develop processes for data ingestion, transformation, and validation
  • Build and maintain a scalable internal data warehouse or data storage environment
  • Ensure data quality, governance, and consistency across multiple platforms
  • Automate manual reporting and data workflows

Business Collaboration

  • Partner with operations, finance, and executive leadership to identify performance gaps
  • Translate complex business questions into data-driven insights
  • Provide analytics that support strategic and operational decision-making

Required Qualifications

  • 2–5+ years of experience in Data Engineering, Data Analytics, or a similar role
  • Strong SQL skills (joins, CTEs, window functions, performance optimization)
  • Strong Python skills (pandas, automation scripts, data transformation)
  • Experience building Tableau and/or Power BI dashboards
  • Experience building data pipelines or structured datasets
  • Strong understanding of KPIs, reporting metrics, and business analytics
  • Self-starter with the ability to work independently
  • Strong problem-solving and analytical thinking skills

Preferred Qualifications

  • Experience working with healthcare, SNF, or post-acute care datasets
  • Experience with data warehouses or cloud storage platforms (Azure, AWS, Snowflake, etc.)
  • Experience integrating data from multiple software systems or APIs
  • Familiarity with ETL/ELT processes

What We Offer

  • Opportunity to build the data infrastructure for a growing healthcare organization
  • Work directly with executive leadership and operations teams
  • High visibility role with the ability to make a measurable impact
  • Competitive salary based on experience

Apply