Instacart

Analytics Engineer II

Instacart$145K — $153K *
US-AnywhereRemote in Canada
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-5 years in Analytics Engineering or Data Engineering with production data ownership.
  • Strong SQL skills with dimensional data model experience (star schemas, SCDs).
  • Familiarity with modern data stack tools like dbt, Snowflake, and Airflow.
  • Knowledge of marketing data metrics and concepts, or capacity to learn swiftly.
  • Proven ability to independently manage multiple data model pipelines and priorities.
  • Effective communicator across data, marketing, and engineering teams.

Responsibilities

  • Build and maintain high-quality marketing analytics data models and ETL pipelines.
  • Translate analytical needs into data requirements in collaboration with Data Scientists and Marketing stakeholders.
  • Ensure data quality through testing, documentation, and root cause analysis of data issues.
  • Conduct thorough code reviews and design discussions to enhance the codebase.
  • Improve existing data pipelines for efficiency and performance monitoring.

Benefits

  • Remote work flexibility with a 'Flex First' policy.
  • Access to annual equity grants and refresh grants.
  • Inclusive company culture fostering collaboration.
  • Comprehensive health and wellness benefits.
  • Opportunities for personal and professional growth.
Full Job Description
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 an Analytics Engineer II to help build and evolve the marketing analytics data foundation. In this role, you'll 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 Ownership: Own data quality for the models you build - writing tests, documentation, and monitoring, and resolving data issues at their root cause across the marketing workflows you support.
  • Code Review & Design: Conduct thorough code reviews, write and share designs publicly before building, and apply simple, reusable modeling patterns that leave the codebase better than you found it.
  • Pipeline Evolution & Observability: Improve existing marketing data pipelines to reduce manual effort and improve performance, enhance observability (logging, metrics, freshness and quality checks), and participate in incident response for the data platform.

About You

Minimum Qualifications
  • 3-5 years of experience in Analytics Engineering, Data Engineering, or closely related roles, with hands-on ownership of production data models and pipelines.
  • Strong SQL skills and hands-on experience building well-architected dimensional data models (star schemas, fact/dimension tables, SCDs).
  • Hands-on experience with the modern data stack, including dbt, Snowflake, and Airflow.
  • Working knowledge of marketing data and metrics - including paid media performance, attribution concepts, and channel-level measurement - or the ability to ramp quickly.
  • Demonstrated ability to deliver complete data models and pipelines independently, manage multiple priorities, and write clean, well-documented, well-tested code.
  • Effective communicator who can collaborate across data, marketing, and engineering teams to understand requirements and deliver solutions.

Preferred Qualifications
  • Experience partnering 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.
  • Comfort using AI-assisted developer tools to improve code quality and speed (e.g., generating tests, validating logic, comparing suggestions).
  • Experience contributing to analytics engineering best practices such as testing, documentation, or data quality standards.

#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. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.

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 Canadian based candidates, the base pay ranges for a successful candidate are listed below.

CAN

$145,000-$153,000 CAD

About Instacart

Instacart is an American company that operates a grocery delivery and pick-up service in the United States and Canada. The company offers its services via a website and mobile app. The service allows customers to order groceries from participating retailers with the shopping being done by a personal shopper. Instacart was founded in 2012 by entrepreneur Apoorva Mehta, a former Amazon.com employee. Apoorva was born in India and moved with his family to Canada in 2000. He studied engineering at the University of Waterloo and graduated in 2008. He was a participant in Y Combinator's Summer 2012 batch, which eventually led to the creation of Instacart. In 2013, Mehta was included on the Forbes 30 Under 30 list. Apoorva previously worked at BlackBerry, Qualcomm, and then Amazon as a supply chain engineer, where he developed fulfillment systems to move packages from Amazon's warehouses to customers' homes. Before founding Instacart, Apoorva had tried to start at least 20 other services. He tried building an ad network for social gaming companies, and developing a social network specifically for lawyers, among other start-ups. Instacart originally launched in San Francisco. By April 2015, the firm had about 200 employees. It introduced a new policy around June allowing some shoppers to choose to be part-time employees, starting with Chicago and Boston and extending its offer to shoppers in Atlanta, Miami, and Washington D.C. the following month.
Learn more about Instacart
Industry
Founded
2012

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