# Senior Data Engineer, Risk

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

**Apply**: https://job-boards.greenhouse.io/block/jobs/5281312008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0eae577a-565

## 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, Risk, you will handle everything from data architecture and modeling to data pipeline tooling and dashboarding. You will enable other compliance and risk 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 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.

- 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.

- 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
- Snowflake
- Databricks
- Github
- Airflow
- Prefect
- Terraform

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/block/jobs/5281312008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)