Analytics Engineer II

🔥 12 hours ago

🇨🇦 Canada – Remote

💵 $145k - $153k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Instacart

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

🍽️ Food & Beverage

📦 Logistics

🛍️ eCommerce

💰 $232M Venture Round on 2021-11

Food & Beverage • Logistics • eCommerce

Instacart is a company that offers a flexible approach to work while transforming the grocery industry. It provides an essential service by delivering groceries and household goods to customers' doors in as little as 30 minutes. Instacart offers safe and flexible earning opportunities to personal shoppers and tackles challenges such as rerouting deliveries during snowstorms and connecting customers with coupons and deals. It aims to be the operating system for the grocery industry, thus helping customers save time for other activities. Instacart emphasizes diversity, equity, and belonging in its work culture.

📋 Description

• Build and maintain dimensional data models and ETL pipelines supporting Paid Marketing, SEO, Retailer Marketing, and attribution • Deliver complete data assets end-to-end with minimal oversight • Collaborate with Data Scientists, Analysts, and Marketing stakeholders to translate analytical needs into data requirements • Deliver trusted, decision-ready datasets • Own data quality through tests, documentation, monitoring, and root-cause resolution of data issues • Conduct code reviews and share designs before implementation • Apply simple, reusable modeling patterns • Improve marketing data pipelines to reduce manual effort and improve performance • Enhance observability through logging, metrics, freshness checks, and quality checks • Participate in data platform incident response

🎯 Requirements

• 3–5 years of experience in Analytics Engineering, Data Engineering, or closely related roles • Hands-on ownership of production data models and pipelines • Strong SQL skills • Experience building dimensional data models, including star schemas, fact/dimension tables, and SCDs • Experience with dbt, Snowflake, and Airflow • Working knowledge of marketing data and metrics, including paid media performance, attribution concepts, and channel-level measurement, or ability to ramp quickly • Ability to deliver complete data models and pipelines independently • Ability to manage multiple priorities • Ability to write clean, well-documented, well-tested code • Effective communication and cross-functional collaboration skills • Experience partnering with Data Scientists on experimentation, attribution, or incrementality measurement preferred • Familiarity with Google Ads, Meta, Google Analytics, and SEO tooling preferred • Python experience preferred • Comfort using AI-assisted developer tools preferred • Experience contributing to analytics engineering best practices preferred

🏖️ Benefits

• New hire equity grant • Annual refresh grants • Flexible choice of work location (home, office, or coffee shop) • Regular in-person events • Market-competitive compensation and benefits