Senior Software Engineer II, Ads Data Solutions Engineering

🕒 October 1

🏄 California, Colorado, +17 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🏛️ District of Columbia – Remote 🌺 Hawaii – Remote 🌽 Illinois – Remote 🦞 Maine – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🤠 Texas – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $192k - $242.5k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

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

• 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 integrations with external advertising platforms • Design privacy-forward activation and identity workflows • Build measurement ingestion pipelines for reach, frequency, and conversions • Extend cleanroom orchestration and governance tooling • Develop reusable query templates and partner configurations • Optimize pipelines for cost and performance • Lead Ads Taxonomy intake automation and release workflow improvements • Assist with platform modernization and developer tooling improvements • 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 cross-team partnerships with Ads Manager, Measurement Science, Data Platform, Privacy/Legal, and external platforms • Help define the future on-call model and operational excellence standards

🎯 Requirements

• 8+ years of software engineering experience (typically 10+ for this level) 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 • Snowflake and AWS experience • Workflow orchestration and event-driven patterns • Ad-tech/programmatic and measurement integrations • Cleanrooms, identity/matching, and deconfliction • Working knowledge of GDPR/CCPA privacy and compliance practices • CI/CD, containers, test strategy, 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; familiarity with evaluation, guardrails, security, and privacy implications • Clear technical writing and stakeholder management • Ability to drive consensus and unblock execution

🏖️ Benefits

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