Lead Backend Engineer, Healthcare Data & ETL

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September 29

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Vida Health

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Healthcare Insurance • Wellness • SaaS

Vida Health is a company committed to improving health outcomes for various physical and mental health conditions, including diabetes, obesity, depression, and hypertension. They offer personalized, human-led care combined with digital technology to manage and treat these complex conditions. Vida Health partners with employers, health plans, and consultants to provide comprehensive health solutions. Their services include video chats and text-based messaging with healthcare providers, and they utilize machine learning and synced devices to personalize member care. They focus on significant cost savings and improved health outcomes for cardiometabolic conditions, guaranteeing results and offering up to 100% of fees at risk for both physical and mental healthcare.

501 - 1000 employees

Founded 2014

⚕️ Healthcare Insurance

🧘 Wellness

☁️ SaaS

📋 Description

• Own and lead backend data engineering efforts, from architecture to implementation. • Design and optimize ETL pipelines for healthcare datasets (eligibility, claims, Rx). • Transform and normalize raw healthcare data into usable formats for analytics, data science and product workflows. • Collaborate with data science, product and engineering teams to prioritize data needs and deliver reliable pipelines. • Establish best practices for data ingestion, validation, monitoring and performance optimization. • Mentor engineers and contribute to building a high-performing backend/data team. • Drive compliance and security for healthcare standards (HIPAA, PHI, audit requirements). • Evaluate and integrate new technologies (e.g., FHIR APIs, modern data frameworks) to keep our stack best-in-class.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering or related field (or equivalent experience). • 6–8+ years of backend or data engineering experience, including leading complex projects. • Strong expertise in Python (preferred) or another backend language (Java, Scala, Go). • Proven experience designing and managing ETL pipelines and data transformation frameworks (e.g., Airflow, dbt, Luigi). • Deep familiarity with healthcare data formats and workflows including Eligibility, Claims, Pharmacy/Rx. • Experience partnering with data science and transformation engineers to build production models and algorithms. • Experience with databases and data warehouses (Postgres, Redshift, BigQuery, Snowflake). • Cloud infrastructure knowledge (AWS, GCP, or Azure) with hands-on deployment experience. • Understanding of RESTful APIs, JSON and healthcare integration standards (FHIR, HL7). • Demonstrated ability to mentor junior engineers and lead cross-functional projects. • Bonus: prior experience with payer integrations, healthcare eligibility APIs, or high-volume healthcare data environments.