# Data Engineer

**Company**: Twitch
**Location**: San Francisco, CA
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: $152,000-$205,600 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/twitch/jobs/8334413002
**Canonical**: https://yubhub.co/jobs/job_4ea4bef1-cd8

## Description

As a data engineer in the Data Platform organisation, you will transform Twitch's largest data sets into offerings usable by the entire company. You'll work with senior team members, data engineers, scientists, and stakeholders to define and create robust data architectures and pipelines. Your responsibilities will include developing and managing scalable data pipelines, partnering with stakeholders to translate company needs into data offerings, automating data processing and reporting workflows, implementing data quality checks, and simplifying complex datasets through data cubes and sharing solutions.

You will work closely with data scientists and engineers to define and create robust data architectures and pipelines. You will develop and manage scalable data pipelines to extract, transform, and load data from various sources. You will partner with a range of stakeholders to translate the company's needs into data offerings. You will automate data processing and reporting workflows to improve efficiency and data integrity. You will implement data quality checks and monitor processes to maintain high data accuracy. You will simplify and enhance the accessibility, clarity, and usability of large and complex datasets through the development of data cubes and data sharing solutions.

To succeed in this role, you will need 3+ years of experience working in a data engineering, data science, or software engineering capacity. You will require expertise in writing and maintaining robust data pipelines in SQL and Python. You will need a track record of turning data requirements from stakeholders into actionable plans. You will have experience with cloud-native solutions and a history of implementing and upholding best practices in data pipelines, ensuring accuracy, consistency, and reliability.

## Skills

### Required
- SQL
- Python
- Cloud-native solutions
- Data pipelines
- Data architecture
- Data quality checks