What are the responsibilities and job description for the Data Engineer - Monetization position at twitch?
About Us
Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
About the Role
As a data engineer in the Monetization organization you will work on making Twitch’s massive data sets robust and consumable by people around the company. You’ll work with a team of other data engineers to build and maintain data pipelines that allow our stakeholders to understand our business.
You can work from Twitch’s headquarters in San Francisco, CA.
You Will:
- Work closely with data scientists and engineers to create robust data architectures and pipelines
- Develop and manage scalable data pipelines to extract, transform, and load data from various sources
- Collaborate with stakeholders to understand business requirements and translate them into data-driven solutions
- Automate data processing and reporting workflows to improve efficiency and data integrity
- Implement data quality checks and monitor processes to maintain high data accuracy
- Simplify and enhance the accessibility, clarity, and usability of large and complex datasets through the development of data cubes and data sharing solutions
- Develop and manage scalable, automated, and fault-tolerant data solutions using technologies such as Spark, EMR, Python, Redshift, Glue, and S3
You Have:
- 1 year of experience working in a data engineering, data science, or software engineering capacity
- Deep expertise in writing and maintaining robust data pipelines in SQL and Python
- Ability to turn data requirements from stakeholders into actionable plans
- Extensive experience with cloud computing tools, like AWS, Azure, or Google cloud
- Proven experience implementing best practices in data pipelines, ensuring accuracy, consistency, and reliability
Bonus Points
- Bachelor's degree, or Master's degree in computer science, statistics, information systems, or a related, technical field
- Experience with a scripting language (e.g., Python, Java, or R)
- Familiarity and interest in Twitch
Perks
- Medical, Dental, Vision & Disability Insurance
- 401(k)
- Maternity & Parental Leave
- Flexible PTO
- Amazon Employee Discount
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Job ID: TW8800
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain open until filled. For more information, please visit https://www.twitch.tv/jobs/en/#learn-more. Applicants should apply via our internal or external career site.
US Pay Per Year
$91,200 - $185,000 USD
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
Salary : $91,200 - $185,000
