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

Instacart's Core Data Engineering team plays a critical role in defining and maintaining company-wide datasets, standardized for uniform, reliable, timely and accurate insights from our data. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart's products. This role is an exciting opportunity to join a key team shaping our most critical data.

About the Team

Core Data Engineering is part of the Infrastructure Engineering pillar, working closely with data engineers, data scientists and senior leaders across the company on developing and standardizing critical company-wide datasets. Our team also collaborates closely with other data infrastructure teams on designing and building key data platforms, systems and tools to make everyone at Instacart more productive with data.

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 critical 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 knowledge of SQL and Python.
• Experience building high quality ETL/ELT pipelines.
• 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 cross functional stakeholders on metric development, including data scientists, analysts, finance and senior leaders.
• 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 and Airflow
• Experience with data quality monitoring/observability, either using custom frameworks or tools like Great Expectations, Monte Carlo or similar

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.

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

CA, NY, CT, NJ

$192,000-$213,000 USD

WA

$184,000-$204,000 USD

OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI

$176,000-$196,000 USD

All other states

$159,000-$177,000 USD