Senior Data Engineer II in Winnipeg

We're transforming the grocery industry at Instacart, where we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart is a Flex First team. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favourite coffee shop—while staying connected and building community through regular in-person events.

Overview: Our backend systems power the clients used by millions of customers every year to buy their groceries online. These systems must also support tight integration with the largest retailers in the US and Canada. Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open collaborative environment serving millions of requests daily.

Finance data engineering is part of the Data Infrastructure team, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. The team plays a critical role in defining how financial data is modeled and standardized for uniform, reliable, timely and accurate reporting. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart's products.

About the Job: You will work closely with finance, accounting, billing, and revenue teams to understand their main pain points and translate them into self-serve, reliable, and scalable data solutions. You are expected to mentor other team members and be a champion of engineering excellence across the organization. You will be part of a small team with a large amount of ownership and autonomy, managing initiatives directly from design through execution. You will own critical data integration pipelines and models, ensuring uniform, reliable, timely, and accurate financial reporting.

About You: Minimum Qualifications: 8+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines (specialized in financial data). Strong knowledge of cloud based warehouses like Snowflake, Redshift, BigQuery. Strong knowledge of common data infra technologies (Python, Airflow, Spark, Iceberg, Delta Lake) in a production environment. Expert in data modeling with experience in modeling complex financial data with scalability and usability in mind. Expert with SQL and dbt (Data Build Tool). Experience building high quality and complex ETL/ELT pipelines including pipelines for accounting/billing purposes. Experience with data immutability, auditability.