Senior Data Engineer, Catalog

Instacart
3dRemote

About The Position

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. 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.

Requirements

  • 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.

Nice To Haves

  • 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
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