Senior Data Engineer, Risk

Block is a technology company whose Cash App, Square, and Afterpay products provide financial services and support risk and compliance operations. The Senior Data Engineer will design and optimize data models, build reliable data pipelines and monitoring, and create AI-enabled automation for risk and compliance data engineering. The role also partners with business and product teams to translate requirements into end-to-end data solutions and maintain critical pipelines.

Responsibilities:

• Lead the creation and optimization of existing data models through AI code generation on eventing, customer level, and process level data
• Standardize business and product metric definitions in curated and optimized datasets, and develop data dictionaries and other related documentation
• Build monitoring to assess data quality and lineage and on top 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 come up with automated end-to-end solutions

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