Data Operations Engineer - ETL & Health Data Pipelines

Personify Health, Inc.; Tempe (AZ); Hybrid; USD 84,000 - 87,000; Full time

Benefits offered by this job

Competitive base salary

Job summary

Personify Health is seeking a Data Operations Engineer to support ETL/ELT pipelines for healthcare and TPA claims. The role emphasizes Python/SQL work, data extraction and loading, and ensuring data accuracy across on‑prem and cloud platforms.

Ideal candidates have 2–3 years in data engineering, exposure to AWS/GCP environments, and strong problem-solving skills. The role involves about 50% ticket-based support and collaboration with analysts and business teams.

Qualifications

• 2–3 years of experience in data engineering, analytics engineering, or a related technical role.
• Proficiency in Python and SQL, including writing queries, joins, and basic transformations.
• Hands-on experience with relational databases such as PostgreSQL and Oracle; familiarity with AWS RDS.

Responsibilities

• Assist in maintaining and troubleshooting ETL/ELT data pipelines for healthcare and TPA claims processing.
• Work with Python and SQL to support data extraction, transformation, validation, and loading across on‑prem and cloud environments.
• Monitor pipeline performance, review logs, investigate failed jobs, and correct data discrepancies.

Skills

Python

SQL

ETL/ELT

Data quality monitoring

Linux command line

Tools

PostgreSQL

Oracle

AWS RDS

JIRA

Git/Bitbucket

Job description

Personify Health is seeking a Data Operations Engineer to support ETL/ELT pipelines for healthcare and TPA claims. The role emphasizes Python/SQL work, data extraction and loading, and ensuring data accuracy across on‑prem and cloud platforms.

Ideal candidates have 2–3 years in data engineering, exposure to AWS/GCP environments, and strong problem-solving skills. The role involves about 50% ticket-based support and collaboration with analysts and business teams.