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Latest Data Engineering jobs at Instacart

5 jobs

Job results

Instacart

Instacart

Canada

Analytics Engineer II
CA$145k+/yrRemote3+ YOEData Engineering

Build and own trusted marketing analytics data models and pipelines supporting attribution, paid marketing, SEO, and retailer marketing. The role requires 3+ years of analytics or data engineering experience, strong SQL and dimensional modeling skills, and hands-on experience with dbt, Snowflake, and Airflow.

Instacart

Instacart

United States
Senior Data Engineer II, Finance
CA$188k+/yrRemote8+ YOEData Engineering

Own financial data integration pipelines and scalable data models supporting accounting, billing, revenue, and financial reporting. The role requires 8+ years of data or software engineering experience, strong cloud warehouse and data infrastructure expertise, and the ability to lead cross-functional initiatives.

Instacart

Instacart

Canada

Senior Software Engineer II, Ads Data Solutions Engineering
CA$196k+/yrRemote8+ YOEData Engineering

Leads architecture and delivery of large-scale advertising data systems, including off-platform integrations, cleanroom workflows, taxonomy automation, and measurement pipelines. The role requires 8+ years of backend or data engineering experience, strong Python, data-platform expertise, privacy knowledge, and hands-on AI-assisted development.

Instacart

Instacart

United States

Staff Software Engineer, Data Governance & Foundations
$221k+/yrRemote10+ YOEData Engineering

Leads architecture and delivery of Instacart’s open lakehouse foundation, governance controls, and multi-engine compute strategy. Requires 10+ years building production-scale data infrastructure or distributed systems, with expertise in lakehouse, streaming, and platform migrations.

Instacart

Instacart

Canada

Senior Software Engineer, Ads
CA$168k+/yrRemote5+ YOEData Engineering

Build scalable reporting, data processing, and metrics delivery systems for Instacart’s advertising platform. The role requires 5+ years of software engineering experience, distributed systems expertise, strong SQL, and experience with data technologies such as DBT and Airflow.