Lead Backend Engineer (Healthcare Data & ETL) at Vida Health

United States

Vida Health Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
HealthcareIndustries

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

Responsibilities

  • 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

Skills

ETL
Data Pipelines
Healthcare Data
Claims Data
Eligibility Data
Rx Data
Data Transformation
Data Normalization
Data Architecture
Backend Engineering

Vida Health

Personalized healthcare programs using technology

About Vida Health

Vida Health provides personalized healthcare programs targeting conditions like diabetes, obesity, depression, and hypertension. The company combines human-centered care with technology, employing registered dietitians, physicians, expert coaches, and therapists who connect with clients through video chats. This personal interaction is enhanced by customized digital interventions and educational content, which are tailored to each member's needs using machine learning and data from devices like glucose monitors and fitness trackers. Vida Health stands out from competitors by adopting a pay-for-performance model, where it only receives payment if it successfully helps clients improve their health outcomes. This commitment to results has led to significant improvements in medication adherence, weight loss, and reductions in depression among users.

San Francisco, CaliforniaHeadquarters
2014Year Founded
$210.6MTotal Funding
LATE_VCCompany Stage
AI & Machine Learning, HealthcareIndustries
501-1,000Employees

Risks

Increased competition from similar digital health platforms threatens Vida Health's market share.
Data privacy concerns could impact consumer trust in Vida Health's services.
Regulatory scrutiny on digital health solutions may increase compliance costs for Vida Health.

Differentiation

Vida Health combines mental and physical health treatment in a single platform.
The company offers a pay-for-performance model, ensuring accountability for health outcomes.
Vida Health integrates with over 100 devices and apps for personalized care.

Upsides

Growing demand for virtual mental health services boosts Vida Health's market potential.
Partnerships with large employers enhance Vida Health's reach and credibility.
Advancements in AI improve Vida Health's personalized healthcare offerings.

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