Senior Analytics Engineer, Marketing

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 Data 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 pipelines — setting standards, guiding execution, and raising the bar for how data is built, validated, and delivered. About the Job Marketing Analytics Data Development: Design, build, and maintain high-quality dimensional data models and ELT pipelines that support marketing analytics across Paid Marketing, SEO, and Retailer Marketing, and attribution. Cross-functional Partnership: Work closely with Data Scientists, Analysts, Data Engineers, and Marketing stakeholders to understand analytical needs, translate business questions into data requirements, and deliver trusted, decision-ready data assets. Data Strategy Quality Ownership: Lead efforts in data modeling, metric definition, testing, and documentation, owning data quality and resolving issues at their root cause across critical marketing workflows. Technical Leadership Execution: Set standards and guide execution for marketing data pipelines, reviewing designs and implementations to ensure reliability, scalability, and analytical usability. Pipeline Evolution Optimization: Improve and evolve existing marketing data pipelines and workflows to reduce manual effort, improve performance, and increase the speed and confidence of analysis. Scalable Analytics Infrastructure: Develop scalable analytics engineering patterns, including dimensional models, testing frameworks, and monitoring approaches, to support evolving marketing measurement needs. About You Minimum Qualifications 5+ years of experience in Analytics Engineering, Data Engineering, or closely related roles, with clear ownership of production data systems. Advanced SQL skills and deep experience designing well-architected dimensional data models (star schemas, fact/dimension tables, SCDs). Hands-on experience with the modern data stack, including dbt, Snowflake, and Airflow. Strong understanding of marketing data and metrics, including paid media performance, attribution concepts, and channel-level measurement. Demonstrated experience providing technical leadership on complex data projects, including setting standards, guiding execution, and supporting the growth of other engineers. Excellent judgment and product thinking — you know how to balance speed, correctness, and long-term maintainability. Pre ... (truncated, view full listing at source)