Remote opportunity at
InstacartAnalytics Engineer II
Instacart operates a major grocery delivery and pickup platform that connects customers with local stores while offering earning opportunities for personal shoppers. The company employs a…
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About This Role
Instacart operates a major grocery delivery and pickup platform that connects customers with local stores while offering earning opportunities for personal shoppers. The company employs a Flex First remote work model, allowing staff to complete their tasks from home, an office, or other locations. The Marketing Enablement & Technology department sits inside the broader marketing division, managing data architecture that supports retail marketing, search engine optimization, and paid advertising attribution.…
Job Description
Instacart operates a major grocery delivery and pickup platform that connects customers with local stores while offering earning opportunities for personal shoppers. The company employs a Flex First remote work model, allowing staff to complete their tasks from home, an office, or other locations.
The Marketing Enablement & Technology department sits inside the broader marketing division, managing data architecture that supports retail marketing, search engine optimization, and paid advertising attribution. This group oversees datasets that guide hundreds of millions of dollars in marketing expenditures and growth measurement.
The organization seeks an Analytics Engineer II to design and evolve data foundations for marketing operations. In this position, the professional independently develops business-aware data models and pipelines relied upon by data scientists and analysts. Responsibilities include owning projects end-to-end, participating in code reviews, and elevating overall code quality within the marketing data platform.
This opportunity fits professionals who possess several years of background in analytics engineering or data engineering, expert-level SQL capabilities, and hands-on experience utilizing modern data stack tools. Ideal candidates can translate stakeholder needs into trusted datasets, implement robust testing frameworks, and collaborate effectively across cross-functional teams.
Responsibilities
- Build and maintain dimensional data models and ETL pipelines independently for paid marketing, SEO, retailer marketing, and attribution.
- Partner with data scientists, analysts, and marketing stakeholders to translate analytical needs into data requirements and decision-ready datasets.
- Manage data quality by writing tests, documentation, and monitoring systems while resolving root causes of data issues.
- Perform code reviews, share design documents publicly before building, and apply reusable modeling patterns.
- Improve existing marketing data pipelines to reduce manual effort, enhance performance, and increase observability.
- Participate in incident response protocols for the data platform.
Requirements
- Have three to five years of professional experience in analytics engineering, data engineering, or closely related fields.
- Possess strong SQL skills and practical experience building dimensional data models like star schemas, fact and dimension tables, and slowly changing dimensions.
- Demonstrate hands-on experience with the modern data stack, including dbt, Snowflake, and Apache Airflow.
- Understand marketing data and metrics or demonstrate the ability to ramp up quickly on paid media performance and attribution concepts.
- Show a proven ability to deliver complete data models and pipelines independently while writing clean, tested code.
Qualifications
- Experience partnering with data scientists on experimentation, attribution, or incrementality measurement.
- Familiarity with marketing platforms such as Google Ads, Meta, Google Analytics, and SEO tooling.
- Experience using Python for automation or advanced transformations.
- Comfort using AI-assisted developer tools to improve code quality and speed.
- Experience contributing to analytics engineering best practices like testing, documentation, or data quality standards.
Core Skills
Benefits
- Market-competitive compensation with a Canadian base pay range between CAN$139,000 and $146,500 CAD.
- New hire equity grant along with annual refresh grants.
- Flex First remote work policy allowing employees to choose their preferred workspace.
- Comprehensive benefits offerings provided by the employer.
Frequently Asked Questions
What is the remote work policy for this position?
Instacart follows a Flex First remote work model, allowing employees to choose whether they work from home, an office, or another location. However, candidates are currently only hired in the Canadian provinces of Ontario, Alberta, British Columbia, and Nova Scotia.
What is the salary range for the Analytics Engineer II role?
For Canadian-based candidates, the base pay ranges from CAN$139,000 to $146,500 CAD, with final offers varying based on experience and required skills.
What technical skills are required?
Candidates must have strong SQL skills, hands-on experience building dimensional data models, and experience with the modern data stack including dbt, Snowflake, and Airflow.
What additional financial compensation is offered besides base pay?
The role is eligible for a new hire equity grant as well as annual refresh grants.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.
