
1001 - 5000 employees
Founded 2012
🍽️ Food & Beverage
📦 Logistics
🛍️ eCommerce
đź’° $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.
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🇺🇸 United States – Remote
đź’µ $192k - $242.5k / year
⏰ Full Time
đźź Senior
📊 Analytics Engineer
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1001 - 5000 employees
Founded 2012
🍽️ Food & Beverage
📦 Logistics
🛍️ eCommerce
đź’° $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.
• Lead architecture for reusable, scalable systems across off-platform workflows, cleanrooms, taxonomy automation, and the Ads Data Solutions Platform • Evolve core abstractions, testing, CI/CD, observability, and cost efficiency • Propose and drive engineering initiatives, align stakeholders, and manage dependencies • Expand and harden external advertising platform integrations • Design privacy-forward activation and identity workflows • Build measurement ingestion pipelines for reach, frequency, and conversion signals • Extend cleanroom orchestration and governance tooling • Develop reusable query templates and partner configurations • Optimize data pipelines for cost and performance • Lead Ads Taxonomy intake automation and release workflow improvements • Contribute to platform modernization, developer tooling, on-call, and SLO strategy • Use AI-assisted tools for design, coding, testing, and documentation • Translate ambiguous requirements into phased delivery with clear SLAs/SLOs • Champion security-by-design, data governance, and privacy compliance • Mentor engineers up to L5 and set code quality and review standards • Build partnerships across Ads Manager, Measurement Science, Data Platform, Privacy/Legal, and external platforms
• 8+ years of software engineering experience, typically 10+ for this level • Experience delivering and operating large-scale backend/data systems • Experience leading cross-team projects and architectural decisions • Strong Python and one of Ruby or Go • Experience with REST/gRPC services and third-party API integrations • Experience with DBT, Airflow, Spark/Databricks, advanced SQL, and performance tuning • Experience with Snowflake and AWS • Experience with workflow orchestration and event-driven patterns • Experience with ad-tech/programmatic and measurement integrations • Experience with cleanrooms, identity/matching, and deconfliction • Working knowledge of GDPR/CCPA privacy and compliance practices • Experience with CI/CD, containers, testing, observability, incident readiness, and SLOs • Recent hands-on use of AI-assisted development tools • Experience defining reusable AI prompts/workflows and contributing to AI-enabled tools or automation • Ability to evaluate AI versus deterministic systems, including evaluation, guardrails, and security/privacy implications • Clear technical writing, stakeholder management, consensus-building, and execution skills
• Flexible work location: home, office, or coffee shop • Regular in-person events • New hire equity grant • Annual refresh grants • Market-competitive compensation and benefits • Occasional trips to the Toronto office • AI-assisted development tools and workflows
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