Job Description
We’re 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 Instacart’s 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. We’re hiring a Senior Analytics Engineer to own and evolve the marketing analytics data foundation. In this role, you’ll design high-quality, business-aware data models that Data Scientists and Analysts trust, while also providing technical leadership across marketing data modeling—setting standards, guiding execution, and raising the bar for how data is built, tested, documented, and delivered.
About the Job
- Analytics Data Modeling: Design, build, and maintain high-quality dimensional and semantic data models using dbt that support marketing analytics across Paid Marketing, SEO, Retailer Marketing, and attribution.
- Cross-functional Partnership: Work closely with Data Scientists, Analysts, and Marketing stakeholders to understand analytical needs, translate business questions into data requirements, and deliver trusted, decision-ready data assets.
- Metrics & Definitions Ownership: Lead efforts in metric definition, business logic standardization, testing, and documentation to ensure consistent, trusted reporting across marketing.
- Technical Leadership: Set standards for analytics engineering best practices—including code review, testing frameworks, and modeling patterns—to ensure scalability, reliability, and maintainability across the marketing data ecosystem.
- Model Evolution & Optimization: Continuously improve existing data models to reduce complexity, improve query performance, and increase analyst self-service capabilities.
- Scalable Analytics Infrastructure: Develop scalable analytics engineering patterns, including dimensional models, semantic layers, testing frameworks, and monitoring approaches, to support evolving marketing measurement needs.
- AI & ML Enablement: Partner with Data Scientists & Analysts to build and maintain curated datasets that provide context for ML & AI-driven marketing applications.
About You
Minimum Qualifications
- 5+ years of experience in Analytics Engineering or a closely related role, with ownership of production-grade analytical data models.
- Expert-level SQL skills and deep experience designing dimensional models (star schemas, fact/dimension tables, SCDs).
- Strong proficiency with dbt, including project structure, testing, documentation, and macros.
- Experience with Snowflake or similar cloud data warehouses.
- Solid understanding of marketing data and metrics, including paid media performance, attribution concepts, and channel-level measurement.
- Demonstrated ability to set standards, guide execution, and mentor others on analytics engineering best practices.
- Excellent judgment and product thinking—you know how to balance speed, correctness, and long-term maintainability.
Preferred Qualifications
- Experience building or contributing to a metrics/semantic layer.
- Familiarity with BI tools (Looker, Tableau, Hex, etc.) and optimizing models for analyst consumption.
- Experience working directly with Data Scientists on experimentation, attribution, or incrementality measurement.
- Familiarity with marketing platforms (e.g., Google Ads, Meta, Google Analytics, SEO tooling).
- Python experience for automation or advanced transformations.
- Experience introducing analytics engineering best practices in an organization that didn’t previously have them.
#LI-Remote
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For US based candidates, the base pay ranges for a successful candidate are listed below.
CA, NY, CT, NJ
$191,000—$201,500 USD
WA
$183,000—$193,000 USD
OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI
$175,000—$184,500 USD
All other states
$159,000—$168,000 USD
