About the company
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 47 million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible. Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.
Job Summary
Key Responsibilities
📍Create brand new and optimize existing data models in the Commerce domain at Cash App. 📍Build strong partnerships with Product Data Scientist, Product Manager, and Software Engineer teams by understanding their priorities and pain points and deliver values from our data, reporting, and interactive data products. 📍Build reusable data engineering framework to improve the data quality, reliability, and scalability of our ETLs using a combination of tools like dbt, prefect, airflow, databricks, spark, etc. 📍Mentor and coach team members to adopt data modeling best practice, improve data engineering solutions, and adopt developing, testing, and release best practice. 📍Collaborate with external teams including data infrastructure, tooling, and raw data provision teams to keep updated on data engineering framework, tooling, and engineering excellence. 📍Enable stakeholders from less technical teams to self service data pipelines using UI-based task orchestration tools.
Qualifications
You have: 📍Background/knowledge in Computer Science, Applied Math, Engineering, Stats, Physics, or something comparable 📍7+ years of industry experience building complex, scalable ETLs for a variety of different business and product use cases. 📍3+ years of experience in ETL orchestration and workflow management tools like Airflow, Prefect 📍Experience working with Snowflake, Databricks, Redshift, PostgreSQL and/or other DBMS platforms. 📍Experience using CI/CD tools in data engineering pipelines. Experience using dbt in building and enriching data models. Experience in building interactive data products to automate internal business processes will be a plus. 📍An interest in advancing Cash App's vision of building products for economic empowerment - this should be something that legitimately excites you 📍Comfortable working in fast paced environment, are a self starter and self organizing
