[Hiring] Data Engineer I @Personify Health

Role Description

Data Engineer I perform development activities with the guidance of another member of the data engineering team. This position sits within one of our analytics and reporting teams and will work closely with account management, data warehouse, product and other teams as you develop data pipelines and enhancements and investigate and troubleshoot issues.

• Extracting, cleansing, and loading data.
• Building data pipelines using SQL and Python.
• Triage incoming bugs and incidents.
• Perform technical operation tasks.
• Investigate and troubleshoot issues with data and data pipelines.
• Help monitor areas of the data pipeline and raise awareness to team when issues arise.
• Performing quality assurance work to verify the accuracy of code and data results.

Qualifications

• 1 – 2 years experience in data engineering.
• SW certification or degree in IT related field.
• Solid grasp of modern relational and non-relational models and differences between them.
• Proficiency in writing SQL.
• Creating and maintaining PowerPoint Templates for standardized reporting.
• Familiarity with AI Tools (Claude, Coco) preferred.
• Detail oriented and able to examine data and code for quality and accuracy.
• Knowledge of Agile environments, including Scrum and Kanban methodologies.
• Python experience preferred.
• ETL experience preferred.
• Git and Snowflake experience preferred.

Benefits

• Competitive base salary and benefits effective day one.
• Comprehensive medical and dental through our own health solutions (yes, we use what we build).
• Unlimited PTO—rest and recharge time is non-negotiable.
• Mental health support, retirement planning, and financial protection.
• Professional development with clear career progression and learning budgets.
• Mission-driven culture where diverse perspectives drive real impact on people's health.