Senior Data Engineer, Healthcare Analytics & Data Pipelines

Paycom - ATS; Phoenix (AZ); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical plans (no-premium option)

Dental plans

Vision insurance

401(k) with company match

Paid time off

Employee wellness programs

Job summary

Terros Health is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and a comprehensive data warehouse ecosystem. You will ensure data quality, governance, and timely delivery to clinical and operational teams.

You will work with HL7/FHIR standards, APIs, and healthcare data formats, partnering across IT and business units to translate complex needs into robust, scalable solutions that improve patient outcomes.

Qualifications

• Bachelor’s degree in computer science, IT, engineering or math; advanced degree preferred.
• 7+ years of progressive experience in data engineering or data architecture.
• Experience with HL7, FHIR, APIs, SFTP and healthcare data integration.

Responsibilities

• Leads design, development, and maintenance of scalable data pipelines and ETL/ELT processes.
• Builds and optimizes enterprise data warehouse structures for analytics and operations.
• Implements data models and ensures data quality, lineage, and governance.
• Collaborates with clinical and business teams to translate requirements into technical solutions.
• Mentors juniors and peers; supports cross-functional initiatives.

Skills

Advanced SQL

ETL/ELT pipelines

Data warehousing

HL7 FHIR APIs

Data modeling

APIs SFTP data integration

Healthcare data standards

Education

Bachelor's degree in Computer Science, IT, Engineering, Mathematics, or related field

Master’s degree preferred

Job description

Terros Health is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and a comprehensive data warehouse ecosystem. You will ensure data quality, governance, and timely delivery to clinical and operational teams.

You will work with HL7/FHIR standards, APIs, and healthcare data formats, partnering across IT and business units to translate complex needs into robust, scalable solutions that improve patient outcomes.