Data Engineer I - Pipelines & Health Insights

Personify Health; United States; Remote; USD 69,000 - 95,000; Full time

Benefits offered by this job

Competitive base salary & benefits

Medical and dental benefits

Unlimited PTO

Mental health support

Career development budgets

Mission-driven culture

Job summary

Personify Health in the United States seeks a Data Engineer I to help build data pipelines and enhancements under guidance from senior teammates. You will collaborate with account management, data warehouse, and product teams to deliver reliable data solutions.

Key duties include extracting, cleansing, and loading data, writing SQL and Python, triaging incidents, and ensuring data quality while supporting analytics and reporting efforts. This role supports a mission-driven health platform.

Qualifications

• 1–2 years of data engineering experience.
• Solid SQL skills and data modelling knowledge.
• Relational and non-relational data model familiarity.
• Python experience preferred.
• Agile environment experience (Scrum/Kanban).
• ETL experience preferred.
• Git version control experience.

Responsibilities

• Extract, cleanse, and load data for pipelines.
• Build data pipelines using SQL and Python.
• Triage bugs and incidents in data systems.
• Perform technical operations tasks.
• Investigate and troubleshoot data pipeline issues.
• Monitor data pipelines and raise issues to the team.
• Conduct QA checks to verify data accuracy.

Skills

SQL

Python

Git

Snowflake

Agile methodologies

AI Tools

Data quality

Relational databases

Education

IT-related degree

Tools

PowerPoint Templates

Snowflake

Claude/Coco

Job description

Personify Health in the United States seeks a Data Engineer I to help build data pipelines and enhancements under guidance from senior teammates. You will collaborate with account management, data warehouse, and product teams to deliver reliable data solutions.

Key duties include extracting, cleansing, and loading data, writing SQL and Python, triaging incidents, and ensuring data quality while supporting analytics and reporting efforts. This role supports a mission-driven health platform.