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

United States

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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

Key technologies and capabilities for this role

ETLData PipelinesHealthcare DataClaims DataEligibility DataRx DataData TransformationData NormalizationData ArchitectureBackend Engineering

Questions & Answers

Common questions about this position

What experience level is required for the Lead Backend Engineer role?

The role requires 6–8+ years of backend or data engineering experience, including leading complex projects.

What technical skills are essential for this position?

Strong expertise in Python (preferred) or another backend language like Java, Scala, or Go is required, along with proven experience designing and managing ETL pipelines (e.g., Airflow, dbt, Luigi) and deep familiarity with healthcare data formats including Eligibility, Claims, and Pharmacy/Rx.

Is this a remote position, and are there location restrictions?

Vida is authorized to do business in many, but not all, states, and candidates must be located in or able to work from a state where Vida is registered to be eligible for employment.

What is the salary or compensation for this role?

This information is not specified in the job description.

What education or qualifications make a strong candidate?

A Bachelor’s degree in Computer Science, Engineering or related field (or equivalent experience) is required, along with experience in healthcare data compliance like HIPAA and PHI.

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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