AWS GameTech Cortex is seeking an experienced Senior Data Engineer to join our team that specializes in full-stack data solutions for games. In this role, you will architect and build the robust data infrastructure that powers machine learning solutions directly impacting how game developers build, operate, and optimize their games on AWS. You will work at the intersection of gaming, data engineering, and cloud infrastructure to solve complex data challenges in areas such as player behavior analytics, game performance telemetry, content recommendation systems, and anti-cheat detection.
As a Senior Data Engineer, you will design and implement scalable data pipelines that process billions of gaming events daily, enabling real-time insights and ML model training. You'll collaborate closely with Applied Scientists, Game Developers, and Product teams to transform raw gaming data into actionable intelligence that drives business decisions and enhances player experiences.
The ideal candidate combines deep expertise in data engineering with a passion for gaming and the ability to deliver production-ready solutions. You will mentor junior engineers, establish best practices for DE development, and contribute to the technical direction of the team.
Key job responsibilities
Design, build, and maintain large-scale data pipelines processing real-time gaming telemetry, player behavior data, and game performance metrics
Architect data lakes and warehouses optimized for gaming analytics workloads, supporting both batch and streaming data processing
Develop ETL/ELT processes to ingest, transform, and serve gaming data from multiple sources including game clients, servers, and third-party platforms
Build data infrastructure supporting ML model training and inference for player behavior prediction, game balancing, and anti-cheat systems
Implement real-time data streaming solutions for live game monitoring, player segmentation, and dynamic content delivery
Collaborate with Applied Scientists to create feature stores and data marts optimized for gaming ML use cases
Ensure data quality, governance, and compliance across all gaming data assets
Optimize data processing costs and performance for high-volume gaming workloads
Mentor junior engineers and establish data engineering best practices for the gaming domain
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices
- Experience operating large data warehouses
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
USA, CA, San Diego - 154,600.00 - 209,100.00 USD annually
As a Senior Data Engineer, you will design and implement scalable data pipelines that process billions of gaming events daily, enabling real-time insights and ML model training. You'll collaborate closely with Applied Scientists, Game Developers, and Product teams to transform raw gaming data into actionable intelligence that drives business decisions and enhances player experiences.
The ideal candidate combines deep expertise in data engineering with a passion for gaming and the ability to deliver production-ready solutions. You will mentor junior engineers, establish best practices for DE development, and contribute to the technical direction of the team.
Key job responsibilities
Design, build, and maintain large-scale data pipelines processing real-time gaming telemetry, player behavior data, and game performance metrics
Architect data lakes and warehouses optimized for gaming analytics workloads, supporting both batch and streaming data processing
Develop ETL/ELT processes to ingest, transform, and serve gaming data from multiple sources including game clients, servers, and third-party platforms
Build data infrastructure supporting ML model training and inference for player behavior prediction, game balancing, and anti-cheat systems
Implement real-time data streaming solutions for live game monitoring, player segmentation, and dynamic content delivery
Collaborate with Applied Scientists to create feature stores and data marts optimized for gaming ML use cases
Ensure data quality, governance, and compliance across all gaming data assets
Optimize data processing costs and performance for high-volume gaming workloads
Mentor junior engineers and establish data engineering best practices for the gaming domain
Basic qualifications
- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices
Preferred qualifications
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience operating large data warehouses
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, San Diego - 154,600.00 - 209,100.00 USD annually