Senior Analytics Engineer, Marketing

Instacart is transforming the grocery industry by providing essential services and flexible earnings opportunities. They are seeking a Senior Analytics Engineer to design and maintain high-quality data models and pipelines that support marketing analytics, while leading efforts in data strategy and quality ownership.

Responsibilities:

• 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
• 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
• Lead efforts in data modeling, metric definition, testing, and documentation, owning data quality and resolving issues at their root cause across critical marketing workflows
• Set standards and guide execution for marketing data pipelines, reviewing designs and implementations to ensure reliability, scalability, and analytical usability
• Improve and evolve existing marketing data pipelines and workflows to reduce manual effort, improve performance, and increase the speed and confidence of analysis
• 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
• 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