Data Engineer

Zip is a procurement orchestration platform providing simple, consumer-grade user experience for managing business spend.
$150,000 - $200,000
Data
Mid-Level Software Engineer
Hybrid
101 - 500 Employees
2+ years of experience
Enterprise SaaS
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Description For Data Engineer

Zip, a rapidly growing procurement orchestration platform valued at $2.2 billion with $370 million in funding, is revolutionizing how companies manage their spend. Founded in 2020, Zip has quickly become the leader in the $50B+ TAM procurement space, serving major clients like Instacart, Anthropic, Sephora, and Reddit.

As a Data Engineer at Zip, you'll join a dynamic team focused on building and advancing self-serve tools for product analytics, data ingestion, and warehousing pipelines. The role combines technical expertise with business impact, requiring skills in data modeling, pipeline development, and analytics tool implementation. You'll work with modern technologies including data warehousing platforms like Snowflake and processing frameworks like Airflow.

The position offers competitive compensation ($150,000 - $200,000) and comprehensive benefits including equity, full healthcare coverage, and various perks. You'll be part of a team that values ownership, open communication, and innovation, working alongside experienced professionals from companies like Airbnb, Facebook, and Google.

This is an excellent opportunity for a data engineering professional with 2+ years of experience to make a significant impact in a fast-growing company that's reshaping enterprise procurement. The hybrid work environment in San Francisco provides flexibility while maintaining collaborative opportunities with the team.

Last updated a month 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 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

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