- Страна
- США
- Зарплата
- 130 000 $ – 150 000 $
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Senior Data Engineer
Исключительная возможность работать в одной из самых престижных игровых компаний мира над масштабными проектами. Четко указанный диапазон зарплаты и отличный пакет бонусов делают вакансию очень привлекательной, несмотря на отсутствие удаленки.
Сложность вакансии
Высокая сложность обусловлена требованиями к опыту работы с петабайтными объемами данных, глубоким знанием Spark и Python, а также необходимостью самостоятельно принимать архитектурные решения. Работа в офисе в Андовере добавляет географическое ограничение.
Анализ зарплаты
Предложенная зарплата ($130k - $150k) находится в пределах рыночной нормы для Senior-позиции в Массачусетсе, однако для топовых игровых студий и технологических гигантов это скорее нижняя и средняя планка. Дополнительные бонусы и акции могут значительно увеличить итоговый доход.
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 large-scale data pipelines and a deep expertise in Python, Spark, and Azure Databricks, I am confident in my ability to contribute to your cutting-edge analytics platform. My background in architecting data models for petabyte-scale environments aligns perfectly with Rockstar's mission to deliver data-driven insights that enhance player experiences.
Throughout my career, I have focused on engineering excellence, implementing robust CI/CD practices and mentoring junior engineers to foster a culture of high-quality code. I am particularly drawn to this role because of the opportunity to work on complex ingestion processes within the gaming industry—a field I am deeply passionate about. I look forward to the possibility of bringing my technical skills and proactive problem-solving approach to your newly renovated studio in Andover.
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Присоединяйтесь к команде Rockstar Games и создавайте будущее игровой аналитики для проектов мирового масштаба!
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 newly renovated game development studio in Andover, MA.
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 Andover, Massachusetts 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.
NE Base Pay Range
$130,000—$150,000 USD
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Навыки
- Python
- Spark
- SQL
- Azure
- Databricks
- Airflow
- Snowflake
- Docker
- Kubernetes
- CI/CD
- Delta Lake
- Java
- Scala
- Data Modeling
- ETL
Возможные вопросы на собеседовании
Проверка опыта работы с высоконагруженными системами, упомянутыми в вакансии.
Расскажите о самом сложном конвейере данных (pipeline), который вы проектировали. С какими проблемами масштабируемости вы столкнулись при работе с петабайтными данными?
Вакансия делает упор на Databricks и Spark.
Как бы вы оптимизировали Spark-задачу, которая страдает от перекоса данных (data skew) при выполнении операции join?
Роль предполагает работу с real-time данными.
В чем основные различия в обеспечении отказоустойчивости для пакетной (batch) и потоковой (real-time) обработки данных в среде Azure?
Упоминается необходимость внедрения стандартов тестирования.
Какую стратегию тестирования вы бы предложили для обеспечения качества данных в ETL-процессах, использующих Delta Lake?
Оценка навыков проектирования систем.
Спроектируйте архитектуру системы сбора игровой аналитики, которая должна поддерживать миллионы одновременных игроков с минимальной задержкой.
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- Страна
- США
- Зарплата
- 130 000 $ – 150 000 $