# Senior Data Engineer, Product

**Company**: Block
**Location**: Bay Area, CA
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/block/jobs/5442647008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_64d5686d-264

## 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

## Skills

### Required
- SQL
- Python
- Dbt
- Airflow
- Prefect
- Snowflake
- Databricks
- Terraform

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/block/jobs/5442647008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)