Lead Data Engineer

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September 9

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Hopscotch Health

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Healthcare Insurance

Hopscotch Health is a healthcare provider focused on delivering exceptional primary care services to rural communities, with a particular emphasis on Medicare patients, especially seniors. The company is committed to transforming lives through accessible and proactive value-based care, providing comprehensive healthcare solutions both in clinics and beyond. Hopscotch Health specializes in creating a community of care centered around the needs of its patients, offering partnerships with local organizations to enhance patient support and care quality. The company is dedicated to building strong relationships with patients, ensuring personalized attention and a full care team to address their healthcare needs.

11 - 50 employees

⚕️ Healthcare Insurance

📋 Description

• Own our data platform: architect, build, and maintain our data model, data pipelines, and data access layer that support our care delivery, operations, and analytics • Ensure data quality & governance: implement practices that make our data trustworthy and usable for all stakeholders, from clinicians to operators • Monitor and optimize data infrastructure: troubleshoot issues, improve system performance, and drive efficiency through automation and process enhancements • Lead with technical depth: review code, mentor engineers, and set engineering best practices across the team • Think big picture: design today’s infrastructure with tomorrow’s needs in mind, laying the foundation for advanced analytics and AI • Be hands-on: flex across the stack, from backend data engineering to occasional contributions in frontend applications that bring data to life • Collaborate with cross-functional teams: work with product managers, analytics, operations, and care delivery stakeholders to translate business needs into scalable data solutions • Report to the Director of Engineering as a technical leader (not a people manager), mentoring junior engineers and shaping long-term data ecosystem direction

🎯 Requirements

• 5+ years of professional experience in data engineering and software architecture shipping production level code, preferably in healthcare services • Strong programming skills (Python, Pyspark, or similar) with proven experience in building and scaling reusable, testable, and maintainable data pipelines • 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 • Can run with problems; take high-level business and technical challenges, frame them into actionable work, and deliver solutions with minimal oversight • Are customer-focused – with a passion for serving patients and providers who make healthcare possible • Are results-driven, focusing time and resources against the most important priorities • Comfortable with ambiguity and bring a structured, proactive approach to executing • Energized by building relationships and finding creative solutions • Articulate and succinct with communication about complex concepts, both verbally and in writing

🏖️ 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 • And more!