5 дней назад
Senior Data Engineer (Data Platform)
160 000 - 170 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (Data Platform): Building and operating production data systems that ingest, validate, transform, and serve healthcare, claims, billing, and analytics data with an accent on data correctness, resilient pipelines, and clear data contracts. Focus on designing distributed batch and asynchronous pipelines, evolving schemas safely, improving observability and performance, and managing retries, backfills, and reprocessing.
Location: Remote within the United States only. Applicants must be authorized to work in the U.S.; international work is prohibited. Vida is unable to sponsor work visas, and employment is limited to states where Vida is registered.
Salary: $160,000–$170,000 per year
Company
is a virtual personalized obesity-care provider combining technology with physicians, dietitians, coaches, and therapists to support patients managing obesity and related conditions.
What you will do
- Own production data systems and domains from ingestion through storage, transformation, and delivery.
- Design ingestion patterns for incomplete, duplicated, delayed, malformed, and changing partner data.
- Define contracts between source systems, ingestion, transformation, and downstream consumers.
- Design data models with clear grain, keys, history, and definitions across identity, eligibility, claims, billing, reporting, and analytics.
- Evolve schemas, pipelines, and datasets safely using retries, backfills, replay, and reversible production changes.
- Collaborate with Engineering, Product, Operations, and Analytics to resolve incomplete or ambiguous data requirements.
Requirements
- Must reside in and be able to work from the United States.
- U.S. work authorization is required; visa sponsorship is not available.
- Bachelor’s degree and 5+ years of experience building production data systems.
- Strong SQL and data modeling skills, including grain, keys, history, dimensional modeling, and representation tradeoffs.
- Experience designing and operating batch and asynchronous data pipelines, cloud data platforms, and distributed systems.
- Working proficiency in Python, with strong attention to validation, idempotency, schema changes, backfills, reprocessing, observability, and failure handling.
Culture & Benefits
- Remote work is available within the United States.
- Work on healthcare data supporting obesity care and related clinical programs.
- Collaborate across Engineering, Product, Operations, and Analytics.
- Vida supports a diverse workplace and provides reasonable accommodations for qualified individuals with disabilities and disabled veterans.
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