Staff Software Engineer, Data Infrastructure

Zocdoc

Remote
Base: $180,000 - $275,000 usd; bonus/equity: not s...
Remote
Design and develop software platforms
Distributed systems abstractions
Lakehouse tech and data contracts
As a Staff Software Engineer (Data Infrastructure), you’ll lead the design and development of the software that underpins our data platform: ingestion frameworks, execution services, orchestration, metadata, data governance, and developer experience

Job Summary

  • As a Staff Software Engineer (Data Infrastructure), you’ll lead the design and development of the software that underpins our data platform: ingestion frameworks, execution services, orchestration, metadata, data governance, and developer experience.
  • You’ll enjoy this role if you are a builder of platforms and frameworks, comfortable with distributed systems abstractions, and excited by lakehouse tech and modern data contracts.
  • Zocdoc is committed to fair and equitable compensation practices, with a NYC Base Salary Range of $180,000 — $275,000 USD.

Matching Summary

As a Staff Software Engineer (Data Infrastructure), you’ll lead the design and development of the software that underpins our data platform: ingestion frameworks, execution services, orchestration, metadata, data governance, and developer experience.

Salary

Base: $180,000 - $275,000 USD; Bonus/Equity: Not specified; Benefits: 100% paid employee health benefit options, Unlimited Vacation, 401(k) with employer funded match, Sabbatical leave, etc.

Skills & Requirements

Must-have

  • design and develop software platforms
  • distributed systems abstractions
  • lakehouse tech and data contracts
  • Spark execution and scheduling
  • Snowflake and data warehouse optimization
  • build platform APIs and SDKs

Nice-to-have

  • petabyte-scale data platforms
  • metadata and governance tech familiarity

Key Requirements

  • 8+ years backend/platform software
  • Python/Scala/Java and strong SQL
  • proven track record designing distributed systems
  • Deep experience with Spark
  • Hands-on data warehouse optimization
  • Experience building platform APIs/SDKs

Work Rights

Not specified

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