Data Engineer - Monetization
Irvine, CA
Twitch
Twitch is an interactive livestreaming service for content spanning gaming, entertainment, sports, music, and more. There’s something for everyone on 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 Twitter, 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.
We’re a distributed team with members all over the country. You can work from Twitch’s headquarters in San Francisco, CA; or from one of our hub locations in Seattle, WA; Irvine, CA; or New York City, NY.
You Will:
- Work closely with data scientists and engineers to create robust data architectures and pipelines.
- 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
- Ability to turn data requirements from stakeholders into actionable plans
- Extensive experience with cloud computing tools, like AWS, Azure, or Google Cloud
- Knowledge of data quality best practices
Bonus Points
- Bachelor's or Master's degree in computer science, statistics, information systems, or a related 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
We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
Job ID: TW8680
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
Tags: Architecture AWS Azure Computer Science Data pipelines Data quality Engineering GCP Google Cloud Java Pipelines Privacy Python R Redshift Spark SQL Statistics Streaming
Perks/benefits: Career development Equity / stock options Flex hours Flex vacation Health care Insurance Medical leave Parental leave Salary bonus Signing bonus
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