Data Engineer

Founded in 2020, Zip is the leading procurement orchestration platform helping companies manage billions in spend.
$150,000 - $200,000
Data
Mid-Level Software Engineer
Hybrid
2+ years of experience
Enterprise SaaS

Description For Data Engineer

Zip, a rapidly growing procurement orchestration platform founded in 2020, is seeking a Data Engineer to join their engineering team. With a $2.2 billion valuation and backing from prestigious investors, Zip has quickly become a category leader serving major companies like Instacart, Anthropic, and Sephora.

The role offers an exciting opportunity to work on business-critical data infrastructure, combining both technical expertise and business impact. As a Data Engineer, you'll be responsible for designing and implementing data models, building scalable pipelines, and delivering customer-facing analytics solutions. The position requires strong technical skills in data processing and warehousing technologies, along with the ability to communicate effectively with stakeholders.

This is an ideal role for someone who wants to make a significant impact in a fast-growing startup environment. You'll be working alongside team members from prestigious companies like Airbnb, Meta, and Google, contributing to a platform that manages billions in spend. The position offers competitive compensation ($150,000 - $200,000) and comprehensive benefits including equity, full healthcare coverage, and various lifestyle perks.

The hybrid work environment in San Francisco provides flexibility while maintaining collaborative opportunities. Zip values diversity and inclusion, encouraging applications from candidates of all backgrounds. The company's culture emphasizes ownership, open communication, and an underdog mindset, making it an excellent opportunity for those who want to drive innovation in business processes worldwide.

Last updated 9 days ago

Responsibilities For Data Engineer

  • Design business-critical data models for powering business decisions
  • Design, build, and maintain scalable data pipelines for stakeholders and customers
  • Deliver data products including data warehouse sharing and embedded analytics
  • Develop product analytics capability and empower data-driven decisions
  • Contribute to Data Analytics community at Zip to improve culture and productivity

Requirements For Data Engineer

Kubernetes
  • 2+ years of industry experience writing software for data engineering
  • Experience with data processing technologies (Airflow, luigi, dbt)
  • Experience with data warehousing technologies (Snowflake, Clickhouse, Redshift)
  • Ability to effectively communicate complex projects to non-technical stakeholders
  • Bachelor's and/or Master's degree in CS or engineering fields, or equivalent experience

Benefits For Data Engineer

Equity
Medical Insurance
Dental Insurance
Vision Insurance
Commuter Benefits
401k
  • Start-up equity
  • Full health, vision & dental coverage
  • Catered lunches & dinners for SF employees
  • Commuter benefit
  • Team building events & happy hours
  • Flexible PTO
  • Apple equipment plus home office budget
  • 401k plan

Interested in this job?

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