Software Engineer, Data Products

Position Overview

Our company, Zip, was founded in 2020 to simplify the complex process of buying software, tools, and services for enterprises. With a purpose-built procurement platform trusted by industry leaders like OpenAI, Snowflake, Anthropic, Coinbase, and Prudential, we have created a new category within a $50B+ TAM space. Leveraging a world-class team from Airbnb, Meta, Stripe, Salesforce, Apple, and Google, we are committed to developing cutting-edge technology and expanding into new global markets.

We are seeking an experienced Software Engineer, Data Products to join our Foundations team. You will create customer-facing products, drive self-serve product analytics and enhance our data ingestion and warehousing pipelines. Compensation: $150,000 - $210,000 (salary determined based on location, experience, education, and skills).

Key Responsibilities

• Deliver data products that our customers can use, including data warehouse sharing and embedded analytics.
• Design business-critical data models to power key decisions while ensuring data quality and consistency.
• Design, build, and maintain scalable, robust, and reliable data pipelines for internal stakeholders and customers.
• Manage our data platform infrastructure and scale it to meet evolving data product and analytics demands.
• Help develop a mature product analytics capability to empower data-driven decision-making.
• Contribute to the broader Data Analytics community at Zip to influence tooling and standards.

Required Qualifications

• 3+ years of industry software development experience within the Data domain
• Experience with data processing technologies and frameworks, such as Airflow, Luigi, dbt, etc.
• Experience with data warehousing technologies such as Snowflake, Clickhouse, Redshift, etc.
• Ability to effectively communicate complex projects to non-technical stakeholders
• Bachelor's and/or Master's degree in CS, engineering, or related fields, or equivalent experience

Preferred Qualifications

• Experience building customer-facing data products
• Experience with analytics tools such as Superset and Looker
• Experience with deploying data systems on AWS and Kubernetes

Benefits & Perks

• 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