Senior Data Engineer – Data Platform

🕒 October 7

🇺🇸 United States – Remote

💵 $160k - $170k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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• Open for 39 days.
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Vida Health

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2014

🏥 Healthcare

🍽️ Food & Beverage

💼 Consulting

Healthcare • Food & Beverage • Consulting

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.

📋 Description

• Own production data systems and domains from ingestion through delivery. • Design ingestion patterns that handle 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. • Evolve schemas, pipelines, and datasets safely with retries, backfills, and replay that avoid corruption or duplication. • Improve pipeline performance, observability, and failure handling. • Work with Engineering, Product, Operations, and Analytics to determine data requirements. • Make architecture decisions and change production systems safely. • Help other engineers make effective decisions about data infrastructure. • Perform additional responsibilities as needed.

🎯 Requirements

• 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. • Applicants must be authorized to work in the U.S.; Vida is unable to sponsor work visas. • Employees must reside in/be able to work from the U.S.; international work is prohibited. • You do not need previous healthcare experience or experience with every technology Vida uses.

🏖️ Benefits

• Equal Employment Opportunity and Affirmative Action employer • Reasonable accommodations for qualified individuals with disabilities and disabled veterans in job application procedures

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