Job description

ABOUT US At Vida, we help people get better- and we're helping the healthcare system get better, too. Vida is a virtual, personalized obesity care provider that uses evidence-based treatment to help patients manage obesity and related conditions like diabetes, high blood pressure, anxiety and depression. Vida's team of Obesity Medicine-Certified Physicians, Registered Dietitians, Expert Coaches and Licensed Therapists takes a whole-person approach to care, helping people lose weight, reduce stress and improve their overall health. By combining advanced technology with top-notch healthcare providers, Vida is breaking down the barriers that have historically kept people from getting the best care. It's trusted by Fortune 100 companies, major national payers and large providers to enable their employees to live their healthiest lives. Vida is looking for a Senior Data Engineer to help shape the data platform that supports much of Vida's business. Our team builds and operates the systems that ingest, validate, transform, and serve data across Vida. We work with data from health plans, employers, clinical programs, and internal systems across member identity, eligibility, claims, billing, reporting, and analytics. You will own data systems and domains end to end, from ingestion and validation through storage, transformation, and delivery. You will make architecture decisions, change production systems safely, and help other engineers make good decisions about data infrastructure. Responsibilities: Own production data systems and domains from ingestion through delivery. Design ingestion patterns that handle incomplete, duplicated, delayed, malformed, and changing partner data. Define the contracts between source systems, ingestion, transformation, and downstream consumers. Design data models with clear grain, keys, history, and definitions so the same question doesn't get two different answers. Evolve schemas, pipelines, and datasets safely, with retries, backfills, and replay that don't corrupt or duplicate data. Improve pipeline performance, observability, and failure handling so you can tell when something is wrong and why. Work with Engineering, Product, Operations, and Analytics to figure out what the data needs to represent when requirements are incomplete or messy. Additional responsibilities as needed. Qualifications: Bachelor's degree at a minimum. 5+ years building production data systems. Strong SQL and data modeling fundamentals, including grain, keys, history, dimensional modeling, and the tradeoffs between different representations of the same data. Experience designing and operating batch and asynchronous data pipelines, including the failure modes that appear in distributed systems. Experience with a cloud data platform and an understanding of storage, query performance, and cost. Strong instincts around data correctness, including validation, idempotency, late and duplicated records, schema changes, backfills, and reprocessing. Working proficiency in Python for pipelines, services, tooling, and tests. The ability to change production systems in ordered, reversible steps without breaking their consumers. Clear written communication, including documenting technical decisions and explaining changes to people outside of engineering. You do not need previous healthcare experience or experience with every technology we use. Vida is proud to be an Equal Employment Opportunity and Affirmative Action employer. Diversity is more than a commitment at Vida—it is the foundation of what we do. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, religion, gender, gender identity or expression, sexual orientation, marital status, national origin, genetics, disability, age, or Veteran status. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We seek to recruit, develop and retain the most talented people from a diverse candidate pool. We don’t just accept differences — we celebrate them, we support them, and we thrive on them for the benefit of our employees, our platform and those we serve. Vida is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at Vida in any form without a valid, signed search agreement in place for the specific position will be deemed the sole property of Vida. No fee will be paid in the event the candidate is hired by Vida as a result of the unsolicited referral. **Vida is authorized to do business in many, but not all, states. If you are not located in or able to work from a state where Vida is registered, you will not be eligible for employment. Please speak with your recruiter to learn more about where Vida is registered. Please note: Applicants must be authorized to work in the U.S. as Vida is unable to sponsor work visas for any position. All Vida Employees must reside in/be able to work from the U.S.- international work is prohibited. Job postings at Vida will remain open through end of year, until filled. #LI-remote

Requirements

Must-haves

Own production data systems and domains from ingestion through delivery.
Design ingestion patterns that handle incomplete, duplicated, delayed, malformed, and changing partner data.
Define the contracts between source systems, ingestion, transformation, and downstream consumers.
Design data models with clear grain, keys, history, and definitions so the same question doesn't get two different answers.
Evolve schemas, pipelines, and datasets safely, with retries, backfills, and replay that don't corrupt or duplicate data.
Improve pipeline performance, observability, and failure handling so you can tell when something is wrong and why.
Work with Engineering, Product, Operations, and Analytics to figure out what the data needs to represent when requirements are incomplete or messy.
Additional responsibilities as needed.
Bachelor's degree at a minimum.
5+ years building production data systems.
Strong SQL and data modeling fundamentals, including grain, keys, history, dimensional modeling, and the tradeoffs between different representations of the same data.
Experience designing and operating batch and asynchronous data pipelines, including the failure modes that appear in distributed systems.
Experience with a cloud data platform and an understanding of storage, query performance, and cost.
Strong instincts around data correctness, including validation, idempotency, late and duplicated records, schema changes, backfills, and reprocessing.
Working proficiency in Python for pipelines, services, tooling, and tests.
The ability to change production systems in ordered, reversible steps without breaking their consumers.
Clear written communication, including documenting technical decisions and explaining changes to people outside of engineering.
You do not need previous healthcare experience or experience with every technology we use.
Vida is proud to be an Equal Employment Opportunity and Affirmative Action employer.
Please note: Applicants must be authorized to work in the U.S. as Vida is unable to sponsor work visas for any position.
All Vida Employees must reside in/be able to work from the U.S.- international work is prohibited. Job postings at Vida will remain open through end of year, until filled.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpython

Platform: lever
Effort: quick