Senior Data Engineer, Product

Job Description

REQUIREMENTS

• 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, as well as 
• 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

RESPONSIBILITES

• 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. Automate this process through AI agents to focus human effort on highest priority tasks.
• 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.

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