Senior Data Engineer, Compliance Engineering & Technology

Block • San Francisco, CA

1d

About The Position

The Compliance Engineering & Technology (CET) team at Block supports the detection and reporting of suspicious financial crimes activity across Cash App, Square, and Afterpay. We work globally with partners in business, engineering, counsel, and product to provide a safe user experience for our customers while minimizing and potentially eliminating bad activity on our platform. You will report to the CET - Data Engineering Manager. As a Data Engineer you will handle everything from data architecture and modeling to data pipeline tooling and dashboarding. You will enable other compliance teams to make impactful business decisions by laying the foundation of our large and unique datasets that span across multiple products.

Requirements

• A minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or equivalent experience.
• High proficiency in SQL
• Working experience with Python, and Terraform
• 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 schema design and dimensional data modeling
• Experience with setting up data quality and data lineage monitoring

Nice To Haves

• Experience with financial crimes compliance systems, technologies, and processes is a big plus
• Experience driving data-driven decisions for AI initiatives / agent building is a big plus

Responsibilities

• Work with engineering and product teams to design, develop, and manage scalable ETL pipelines to unblock new product launches.
• Create brand new and optimize existing data models and schemas on top of Block data including but not limited to eventing, customer level, and process level data.
• Build monitoring to assess the health of the team’s infrastructure as well as data quality and lineage.
• 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 come up with automated end-to-end solutions.
• Standardize business and product metric definitions in curated and optimized datasets, and develop data dictionaries and other related documentation.
• Teach and encourage others to self-serve by building tools that make it simpler and faster for them to do so.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level