Analytics Engineer II

Were transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together

Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview

The Marketing Enablement & Technology (MET) team sits natively within Instacarts Marketing organization, owning the data foundations that power Paid Marketing, SEO, and Retailer Marketing attribution. These datasets directly inform how we allocate hundreds of millions of dollars in marketing spend and how we measure growth.

Were hiring an Analytics Engineer II to help build and evolve the marketing analytics data foundation.

In this role

, youll independently design and deliver high-quality, business-aware data models and pipelines that Data Scientists and Analysts trust — owning your work end-to-end, raising the quality bar through code reviews and design discussion, and growing toward broader technical ownership of marketing data.

About the Job

Marketing Analytics Data Development: Independently build and maintain high-quality dimensional data models and ETL pipelines that support marketing analytics across Paid Marketing, SEO, Retailer Marketing, and attribution — delivering complete data assets end-to-end with minimal oversight

Cross-functional Partnership: Work closely with Data Scientists, Analysts, and Marketing stakeholders to translate analytical needs and business questions into data requirements, and deliver trusted, decision-ready datasets

Data Quality Owners