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Data Engineer l

  • United States

Compensation: This position offers a base salary range of $68,800 - $95,000, depending on location, skills, and experience.

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Job details

Pay
Compensation: This position offers a base salary range of $68,800 - $95,000, depending on location, skills, and experience.
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Experience
1 – 2 years experience in data engineering
Posting language
English
Posted

Original job description

Overview

Who We Are

Because health is personal. That's why Personify Health created the first and only personalized health platform - bringing health plan administration, holistic wellbeing solutions, and comprehensive care navigation together in one place. We serve employers, health plans, and health systems with data-driven solutions that reduce costs while actually improving health outcomes. Together, our team is on a mission to empower people to lead healthier lives.

Learn even more about the work that drives us at personifyhealth.com.

Responsibilities

What You'll Do

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.

In this role you will wear many hats, but your knowledge will be essential in the following:

  • 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

What You Bring to Our Team

  • 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

The Highlights:

  • 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

Want the full picture? Visit personifyhealthbenefits.com to explore our complete benefits package, wellness programs, and other employee perks.

Compensation: This position offers a base salary range of $68,800 - $95,000, depending on location, skills, and experience. You're eligible for our full benefits package starting day one.

Our Commitment: Personify Health is an equal opportunity employer committed to diversity, equity, inclusion, and belonging. We cultivate a work environment where differences are celebrated, and employees of all backgrounds are empowered to thrive - because diversity is core to who we are and critical to our work in health and wellbeing.

Stay Safe: Personify Health will never ask for payment or sensitive personal information like social security numbers during hiring. All official communication comes from verified company email addresses and or our secure applicant tracking system. Suspicious requests? Report them to talent@personifyhealth.com. View all legitimate openings at personifyhealth.com/careers.

More about this job

Skills

  • Data engineering
  • Reporting
  • Data warehouse
  • Troubleshoot
  • SQL
  • Python
  • Quality assurance
  • Microsoft PowerPoint
  • Agile
  • Scrum
  • Kanban
  • Git
  • Snowflake

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