Data Engineer - People Analytics
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 the Data Engineer in the People & Places organization, you will be responsible for building and managing the core data pipelines and analytics tooling that power critical HR reporting functionality. This highly sensitive work requires the utmost care and discretion to ensure the security and integrity of confidential employee data as you develop the systems that HR relies on for important decision-making. Your role will involve partnering closely with an Analyst and Program Manager to design, implement, and optimize a robust data infrastructure to support the organization's talent management and workforce analytics initiatives.
We are a distributed HR team with team 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:
- Develop and manage scalable data pipelines to extract, transform, and load HR data from various sources
- Ensure the security, reliability, and performance of the data infrastructure
- 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
You Have:
- 2+ years of experience working in a data engineering or software engineering capacity
- Extensive experience in developing and optimizing data pipelines using Python
- Proficient in working with AWS services such as EMR, Redshift, Glue, and S3
- Demonstrates expertise in schema management, data lineage, and auditability, coupled with a strong command of data modeling, ETL processes, and data warehousing principles
- Proven experience implementing data integrity practices in ETL/ELT pipelines, ensuring accuracy, consistency, and reliability
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.
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: TW8747
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
$118,900 - $205,600 USD
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