Senior Data Engineer

🕒 il y a 28 jours

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Hopscotch Health

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11 - 50 employés

💼 Conseil

📦 Logistique

🏥 Santé

Consulting • Logistics • Healthcare

Chez Hopscotch Primary Care, nous croyons que les soins de santé de qualité doivent être accessibles à tous, dans toutes les communautés. Notre mission est de transformer la vie dans les communautés rurales grâce à des soins proactifs et accessibles basés sur la valeur.

Description

• Architect, build, and maintain our data model, data pipelines, and data access layer that support our care delivery, operations, and analytics in collaboration with the data platform team. • Own the end-to-end lifecycle of data pipelines that enable key business operations, support third-party integrations, and ensure timely, accurate data delivery across internal and external platforms. • 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 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 high quality workflow enhancements as well as advanced analytics and AI. • Contribute where business needs are highest: 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.

🎯 Exigences

• 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, 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

🏖️ Avantages

• 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!