- Страна
- США
- Зарплата
- 121 400 $ – 161 800 $
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Senior Data Engineer
Исключительная возможность работать в легендарной компании над проектами мирового уровня. Высокая оценка обусловлена престижем бренда, сложностью задач и конкурентной компенсацией, несмотря на требование работы в офисе.
Сложность вакансии
Высокая сложность обусловлена требованиями к опыту работы с петабайтными объемами данных, глубоким знанием Spark и SQL, а также необходимостью работать в офисе в Нью-Йорке. Роль предполагает полную ответственность за архитектуру и наставничество.
Анализ зарплаты
Предложенный диапазон ($121k - $161k) является конкурентоспособным для Нью-Йорка, однако для уровня Senior в топовых технологических компаниях (Big Tech) верхняя планка может достигать $180k-$200k без учета бонусов. Тем не менее, бренд Rockstar и дополнительные льготы компенсируют это различие.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Engineer position at Rockstar Games. With over five years of experience in building robust data pipelines and a deep expertise in Python, Spark, and Azure Databricks, I have a proven track record of managing petabyte-scale data environments. My background in architecting complex data models and implementing CI/CD automation aligns perfectly with your team's mission to enhance player experiences through data-driven insights.
Throughout my career, I have focused on engineering excellence, from optimizing SQL queries for massive-scale MPP engines to mentoring junior engineers. I am particularly drawn to Rockstar's commitment to world-class entertainment and would welcome the opportunity to apply my technical skills to your cutting-edge analytics platform. I am eager to bring my experience in real-time processing and my passion for the gaming industry to your NYC-based team.
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Откликнитесь в rockstargames уже сейчас
Присоединяйтесь к команде Rockstar Games и создавайте будущее игровой аналитики в самом сердце Нью-Йорка!
Описание вакансии
At Rockstar Games, we create world-class entertainment experiences.
Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry.
Rockstar is seeking a Senior Data Engineer to join a team building a cutting-edge game analytics platform and tools to better understand our players and enhance their experience across our titles.
The ideal candidate will be skilled in developing complex ingestions and transformation processes with an emphasis on reliability and performance. In collaboration with other Data Engineers, Machine Learning Engineers, and Software Engineers, the candidate will empower the team of Analysts and Data Scientists to deliver data driven insights and applications across the company.
This is a full-time, in-office position based out of Rockstar’s NYC headquarters in Downtown Manhattan.
WHAT WE DO
- The Rockstar Data Engineering team provides insights and actionable results to a wide variety of teams across the organization in support of their decision making.
- We work with petabyte-scale data in Azure and Databricks, building both real-time and batch pipelines that power analytics, machine learning, and player experience improvements.
RESPONSIBILITIES
- Design, build, and own real-time and batch data pipelines in Azure Databricks using Spark, Airflow, and modern orchestration and build tools.
- Drive engineering excellence by implementing robust testing practices (unit, integration), code review standards, and CI/CD automation.
- Architect Data Models for massive-scale MPP engines (Databricks/Spark, SQL, Snowflake) that balance performance, maintainability, and analytical flexibility.
- Collaborate with Data Scientists, Analysts, and ML Engineers to gather requirements, understand use cases, and deliver reliable data products.
- Identify and implement improvements to our data platform, pipelines, and development processes with autonomy to POC new approaches and technologies.
- Mentor, elevate, and learn with the team by sharing insights, maintaining documentation, and establishing engineering best practices.
- Own projects end-to-end, from gathering requirements and technical design through implementation, testing, and production support.
REQUIREMENTS
- 5+ years of work experience with designing and development of modern data pipelines.
- 4+ years of experience with Python for data engineering (building maintainable, testable code) and Spark for large-scale data processing.
- Strong software engineering fundamentals – design patterns, testing strategies (unit, integration) code review practices, system design thinking.
- Expert-level SQL and deep understanding of query optimization, data structures, and performance tuning.
- Track record of building and optimizing terabyte or petabyte-scale data warehouses.
- Ability to work independently on loosely-defined projects – gathering requirements, making architectural decisions, and following through completion.
- Experience building Real-Time and/or Near-Real-Time data pipelines.
- Outstanding communication and interpersonal skills, including the ability to tailor communication style to technical and non-technical audiences.
PLUSES
Please note that these are desirable skills and are not required to apply for the position.
- Databricks platform experience (Delta Lake, Unity Catalog, Workflows).
- Experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components.
- Containerization and orchestration (Docker, Kubernetes).
- Experience with Java or Scala.
- Experience with CI/CD (TeamCity, Octopus).
- RESTful API design, usage, and consumption.
- Gaming industry experience or passion for games.
- Experience in Machine Learning pipelines and popular libraries.
HOW TO APPLY
Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.
Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.
If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.
#LI-BB1
The pay range for this position in New York State (inclusive of New York City) at the start of employment is expected to be between the range below\* per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations.
Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and market factors.
\*NY Base Pay Range
$121,400—$161,800 USD
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Навыки
- Unit Testing
- Python
- SQL
- Kubernetes
- CI/CD
- Docker
- Snowflake
- Azure Databricks
- Delta Lake
- Apache Spark
- Java
- Data Modeling
- Apache Airflow
- Scala
Возможные вопросы на собеседовании
Проверка опыта работы с масштабируемыми системами, упомянутыми в вакансии.
Расскажите о самом крупном конвейере данных (по объему или сложности), который вы проектировали: с какими узкими местами производительности вы столкнулись в Spark?
Вакансия делает упор на надежность и инженерное совершенство.
Как вы подходите к реализации стратегий тестирования (unit/integration) именно для Spark-приложений в среде CI/CD?
Упоминается работа с Azure Databricks и Delta Lake.
В чем заключаются основные преимущества использования Delta Lake по сравнению со стандартными форматами Parquet в контексте обеспечения согласованности данных?
Роль требует взаимодействия с ML-инженерами и аналитиками.
Опишите случай, когда вам пришлось переводить сложные технические ограничения архитектуры данных на язык, понятный бизнес-аналитикам или стейкхолдерам.
Проверка навыков оптимизации запросов для MPP систем.
Какие стратегии партиционирования и индексации вы бы применили для таблицы объемом в несколько сотен терабайт в Databricks для оптимизации аналитических запросов?
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- Страна
- США
- Зарплата
- 121 400 $ – 161 800 $