Senior Data Engineer, Product

Bay Area, CA · US - OK - Remote · Remote · Posted Oct 1, 2026

At a glance

As a Data Engineer at Block, you will handle everything from data architecture and modeling to data pipeline tooling and dashboarding.
You will enable a range of other engineering and business teams to make impactful business decisions by laying the foundation of large and unique datasets spanning multiple products.

Lead the creation and optimization of data models across eventing, customer-level, and process-level data, leveraging AI-assisted development tools to accelerate delivery.
Take shared or independent technical ownership of critical data pipelines across Block — including foundational customer datasets, money transfer and movement pipelines, and the data infrastructure powering Block's experimentation platform.
Build monitoring to assess data quality and lineage and further, build AI agents for false positive reduction and automated resolution.
Participate in on-call rotation, monitor daily execution, diagnose and log issues, and fix business critical pipelines to ensure SLAs are met with internal stakeholders.
Work with non-technical partners and product teams to understand their needs, translate business requirements into applicable data requirements, and develop automated end-to-end solutions.

A minimum of 10 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or equivalent experience.
High proficiency in SQL, Python, and Dbt
Experience designing medium-to-large data engineering solutions and responsible for the entire lifecycle of projects including scoping, design, development, testing, deployment, and documentation
Experience with ETL scheduling technologies with dependency checking, such as Airflow or Prefect
Experience in schema design and dimensional data modeling
Experience with setting up data quality and data lineage monitoring
Experience with data driven decisions through AI and agentic automation