
1001 - 5000 employees
Founded 2023
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
Personify Health is the first personalized health platform company, designed to empower individuals and organizations to achieve better health outcomes through tailored solutions and services. They offer a comprehensive range of solutions including wellbeing navigation, care management, and health plan administration, catering to employers, health systems, health plans, and brokers. Their goal is to simplify healthcare experiences and enhance engagement, ultimately helping businesses optimize their investment in employee health and wellbeing.
🔥 3 minutes ago
Where this job comes from
Posted on Personify Health's careers page ↗, not through a job board
First seen by Remote Rocketship 3 minutes ago

1001 - 5000 employees
Founded 2023
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
Personify Health is the first personalized health platform company, designed to empower individuals and organizations to achieve better health outcomes through tailored solutions and services. They offer a comprehensive range of solutions including wellbeing navigation, care management, and health plan administration, catering to employers, health systems, health plans, and brokers. Their goal is to simplify healthcare experiences and enhance engagement, ultimately helping businesses optimize their investment in employee health and wellbeing.
• Perform development activities with the guidance of another member of the data engineering team • Work within an analytics and reporting team • Work closely with account management, data warehouse, product and other teams • Extract, cleanse, and load data • Build 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 the team when issues arise • Perform quality assurance work to verify the accuracy of code and data results
• 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
• Competitive base salary and benefits effective day one • Comprehensive medical and dental through our own health solutions • Unlimited PTO • Mental health support • Retirement planning • Financial protection • Professional development with clear career progression and learning budgets • Mission-driven culture where diverse perspectives drive real impact on people's health • Wellness programs • Other employee perks
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