Analytics Engineer II

Instacart

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Ontario, CanadaAlberta, CanadaBritish Columbia, CanadaNova Scotia, Canada
Salary
$139,000–$146,500 / yr
Posted
11 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $148k
This role $143k
$100k most similar roles pay here $204k

This role pays less than 63% of similar roles. Most pay $126,912–$169,475 — the shaded band above. At the midpoint, this role pays about $143k versus about $148k for comparable roles.

Based on 240 similar postings.

Employer

About Instacart

Instacart (Maplebear Inc.) is a North American grocery technology company that operates an online marketplace and delivery service connecting customers with personal shoppers who pick and deliver orders from local retailers. It also sells retail e-commerce software and advertising services to grocers and brands.

Instacart currently has 49 open roles on FindRole.

Listed pay typically runs $196,000–$207,000 across 49 roles with salary data.

Most-posted roles

View all roles at Instacart

At a glance

TL;DR · Analytics Engineer II

The Analytics Engineer II joins the Marketing Enablement & Technology team to build and evolve the marketing analytics data foundation. This role involves independently designing and delivering high-quality dimensional data models and ETL pipelines that support Paid Marketing, SEO, Retailer Marketing, and attribution. The successful candidate will translate business questions into technical requirements, own data quality through testing and documentation, and improve pipeline observability while participating in code reviews. Key responsibilities include creating decision-ready datasets for Data Scientists and Analysts to inform marketing spend and growth measurements. Required skills include expert SQL proficiency, experience with dbt, Snowflake, and Airflow, and a working knowledge of marketing metrics like paid media performance and attribution. Preferred qualifications include Python experience, familiarity with Google Ads or Meta platforms, and the use of AI-assisted developer tools for code quality.

What you'll do

  • Build and maintain high-quality dimensional data models and ETL pipelines for marketing analytics.
  • Translate business questions from stakeholders into technical requirements to deliver decision-ready datasets.
  • Own the end-to-end quality of data models by writing tests, documentation, and monitoring systems.
  • Conduct thorough code reviews and share public designs before building new features.
  • Implement reusable modeling patterns to improve codebase quality and maintainability.
  • Optimize existing pipelines to reduce manual effort and improve performance.
  • Enhance pipeline observability through logging, metrics, and automated freshness checks.
  • Participate in incident response for the marketing data platform.

What we're looking for

  • 3–5 years of experience in Analytics Engineering, Data Engineering, or closely related roles.
  • Strong SQL skills and experience building well-architected dimensional data models like star schemas and SCDs.
  • Hands-on experience with the modern data stack including dbt, Snowflake, and Airflow.
  • Working knowledge of marketing data, metrics, attribution concepts, and channel-level measurement.
  • Ability to deliver complete data models and pipelines independently while managing multiple priorities.
  • Proficiency in writing clean, well-documented, and well-tested code.
  • Strong communication skills to collaborate across data, marketing, and engineering teams.
  • Experience with Python for automation or advanced transformations is preferred.

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