Responsibilities

• 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.

Requirements

• 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.

Preferred

• Experience working directly with Data Scientists on experimentation, attribution, or incrementality measurement.
• Familiarity with marketing platforms (ie 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.

Benefits

• 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 rea d more about our benefits offerings here .
• Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.