Job description
We’re transforming the grocery industry
At Instacart, 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. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. 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 has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.
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.
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.
About the Role
The Catalog data engineering team plays a critical role in defining how catalog data is structured and standardized for consistent, reliable, timely, and accurate product information. This is a high impact, high visibility role owning essential data integration pipelines and models across all of Instacart’s offerings. You will enable efficient, high-quality data workflows that support Instacart’s platform and its ability to deliver exceptional shopping experiences.
About the Team
The Catalog Engineering team is responsible for ensuring that the best possible representation of products is available to users, shoppers, and advertisers. They achieve this by ingesting data from retailers, third parties, and brands, and processing it to create accurate and comprehensive product listings. The team handles various aspects of catalog management, including data acquisition, product ingestion, inventory management, quality assurance, and enrichment of product attributes. Our systems processes approximately 8 billion updates each day
About the Job
- You will be part of a team with a large amount of ownership and autonomy.
- Large scope for company-level impact working on catalog data.
- You will work closely with engineers and both internal and external stakeholders, owning a large part of the process from problem understanding to shipping the solution.
- You will ship high quality, scalable and robust solutions with a sense of urgency.
- You will have the freedom to suggest and drive organization-wide initiatives.
About You
Minimum Qualifications
- 6+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines.
- Expert with SQL and knowledge of Python.
- Experience building high quality ETL/ELT pipelines.
- Past experience with data immutability, auditability, slowly changing dimensions or similar concepts.
- Experience building data pipelines for accounting/billing purposes.
- Experience with cloud-based data technologies such as Snowflake, Databricks, Trino/Presto, or similar.
- Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.
- A strong sense of ownership, and an ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
- Experience working with a large codebase on a cross functional team.
Preferred Qualifications
- Bachelor’s degree in Computer Science, computer engineering, electrical engineering OR equivalent work experience.
- Experience with Snowflake, dbt (data build tool) and Airflow
- Experience with building Flink pipelines
- Experience with data quality monitoring/observability
#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. Please review our Flex First remote work policy here. 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 here.
For Canadian based candidates, the base pay ranges for a successful candidate are listed below.
CAN
$161,000—$179,000 CAD
