Senior Data Engineer, Core Experience

Overview

At Instacart, our mission is to create a world where everyone has access to the food they love and more time to enjoy it together. Millions of customers every year use Instacart to buy their groceries online, and the Data Engineering team is building the critical data pipelines that underpin all of the myriad of ways that data is used across Instacart to support our customers and partners.

Instacart is a Flex First team

There's no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it's from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

About the Role

The data engineering team plays a critical role in defining how 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. You will be part of a team with a large amount of ownership and autonomy, working closely with product and data science partners from core experience, growth, fulfillment, and other teams to support various operational and analytical use cases.

About the Team

Data engineering is part of the Infrastructure Engineering pillar, collaborating closely with product teams to capture critical data needed for various use cases. Our team is responsible for building high-quality data products that empower stakeholders to make data-driven decisions, ensuring data accuracy, reliability, and accessibility across the organization.

About the Job

• Design, build, and maintain high-quality, scalable, and robust data pipelines and ETL / ELT processes.
• Collaborate with engineers and both internal and external stakeholders, owning a large part of the process from problem understanding to shipping the solution.
• Work closely with product and data science partners to capture critical data needed for various operational and analytical use cases.
• Drive organization-wide initiatives and suggest improvements to existing data processes.
• Maintain a sense of urgency while shipping high-quality and pragmatic solutions.
• Implement and maintain data quality monitoring and observability checks to ensure data accuracy and reliability.
• Address and manage data ambiguity by developing robust data validation and reconciliation processes.
• Utilize dbt (data build tool), Spark to transform raw data into meaningful datasets that meet business requirements.
• Define and document data requirements in collaboration with cross-functional teams to ensure alignment and clarity.

About You

Preferred Qualifications

LI-Remote

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Review our Flex First remote work policy. Currently, we are only hiring in the following provinces : Ontario, Alberta, British Columbia, and Nova Scotia.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings.

For Canadian based candidates, the base pay ranges for a successful candidate are listed below.

CAN $161,000 — $179,000 CAD

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