Senior Data Engineer

The role

You will architect, build, and maintain data models, pipelines, and the data access layer. You will design and scale systems to ensure data is trustworthy for operations and AI applications.

What you will do

• Architect, build, and maintain data model, data pipelines, and data access layer
• Own the end-to-end lifecycle of data pipelines
• Ensure data quality and governance
• Monitor and optimize data infrastructure
• Review code and set engineering best practices
• Design infrastructure for advanced analytics and AI
• Flex across the stack from backend data engineering to occasional frontend contributions
• Collaborate with cross-functional teams to translate business needs into data solutions

Required qualifications

• Bachelor’s degree in computer science, engineering, or related field
• 4+ years of professional experience in data engineering and software architecture shipping production level code
• Strong programming skills (Python, Pyspark, or similar)
• Experience designing and optimizing data models, warehouses, and/or lakehouses
• Familiarity with modern data platforms and cloud ecosystems (ex. Palantir Foundry, DBT, Databricks, Snowflake, AWS/GCP/Azure)
• Track record of ensuring data quality, governance, and reliability
• Ability to balance high-level architecture with tactical execution

Nice to have

• experience in healthcare services

Benefits

• Paid holidays + PTO
• Company sponsored medical, dental, and vision insurance for you + your family
• FREE short-term and long-term disability insurance
• FREE $100k life insurance policy
• 401k plan with 4% company match + no vesting period
• $720 - $1,000 added to employee Health Savings Account annually for eligible health plans

About the company

Hopscotch Primary Care aims to transform healthcare in rural America by providing high-quality primary care through a robust care model and comprehensive care team.