Data Operations Engineer — ETL Pipelines (Tempe On-Site)

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

Benefits offered by this job

Competitive base salary

Medical & dental benefits

Unlimited PTO

Mental health support

Career development

Diversity & inclusion

Job summary

Personify Health, Inc. on-site in Tempe, AZ, seeks a Data Operations Engineer to support data systems used in healthcare and TPA claims processing.

You will build and troubleshoot pipelines across on-prem and cloud, using Python and SQL, and collaborate with senior engineers and business teams. This role involves ~50% ticket handling, monitoring production processes, and contributing to data quality, reporting, and data workflows across the organization.

Qualifications

• 2–3 years of experience in data engineering or related technical role.
• Proficiency in Python and SQL, including writing queries and troubleshooting.
• Experience with PostgreSQL and Oracle, plus AWS RDS.
• Understanding of ETL/ELT pipelines and data quality monitoring.
• Ability to handle support tickets ~50% of the time and collaborate with cross-functional teams.

Responsibilities

• Maintain and troubleshoot ETL/ELT data pipelines for healthcare and TPA claims.
• Support data extraction, transformation, validation, and loading across on-prem and cloud.
• Monitor pipeline performance and resolve data issues.
• Learn data workflows and reporting processes with senior teammates.

Skills

Python

SQL

ETL/ELT

Data pipelines

Data quality

AWS

Linux

Tools

PostgreSQL

Oracle

AWS RDS

JIRA

Git/Bitbucket

Airflow

Docker

CI/CD

Job description

Personify Health, Inc. on-site in Tempe, AZ, seeks a Data Operations Engineer to support data systems used in healthcare and TPA claims processing.

You will build and troubleshoot pipelines across on-prem and cloud, using Python and SQL, and collaborate with senior engineers and business teams. This role involves ~50% ticket handling, monitoring production processes, and contributing to data quality, reporting, and data workflows across the organization.