Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers.
As a Senior Data Engineer, Product, 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 our large and unique datasets that span across multiple products.
Responsibilities:
- 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.
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.
- Experience in schema design and dimensional data modeling.
- Experience with setting up data quality and data lineage monitoring.
Technologies We Use and Teach:
- Snowflake
- Databricks
- Dbt
- Github
- Airflow
- Prefect
- Omni
- Terraform
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace.
Salary Range: Zone A: $198,000-$297,000 USD Zone B: $188,100-$282,100 USD Zone C: $178,200-$267,400 USD Zone D: $168,300-$252,500 USD