Senior Data Engineer, Marketing

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 Growth Data and Marketing team is an integral piece of Growth at Instacart, and is directly responsible for modeling the Paid Marketing world to ensure accurate and timely data. This role will be pivotal in building and maintaining data infrastructure that supports the performance and optimization of paid marketing campaigns. You will be at the center of driving data-driven decisions for paid marketing strategies.

About the Team -

The Growth Data and Marketing team is part of the Growth Systems org, working closely with Frontend and Backend Engineering, Data Scientists, and Machine Learning teams to drive and support key data decisions to dictate product, partnerships. Our team works closely with product and marketing teams to ensure the right data is used at the right time to drive key business metrics.

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 marketing 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 data quality monitoring/observability, either using custom frameworks or tools like Great Expectations, Monte Carlo etc.