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 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-RemoteInstacart 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