4 hours ago
Staff Data Engineer (Ads)
248 000 - 279 000$
Вакансия напрямую с сайта из расширенного списка "глобальных компаний для русскоязычных специалистов" - туда входят компании с восточно-европейскими корнями.
Обычно нужен английский ~B2 и локация вне РФ/РБ (и/или ИП). Может требовать VPN для доступа
Описание вакансии
Текст:
TL;DR
Staff Data Engineer (Ads): Drive technical vision and strategy for data infrastructure while building and maintaining sophisticated data pipelines, datasets, and analytical tools for advertising products. Focus on solving sophisticated data engineering challenges, implementing complex data models, and developing data quality frameworks.
Location: The US base salary range for this full-time position is $248,000 to $279,000 + equity + benefits.
Company
is a multiplatform platform that helps people deepen their friendships around games and shared interests.
What you will do
- Create and maintain complex, enterprise-scale data pipelines and foundational datasets while defining technical strategy and architectural direction for advertising products.
- Design and build sophisticated ETL processes, data models, and analytical frameworks using SQL, Python, and modern data stack technologies.
- Develop data quality frameworks, monitoring systems, automated anomaly detection, and alerting infrastructure that operates at massive scale.
- Collaborate with data scientists, ML engineers, and product teams, directly implementing their requirements into scalable, maintainable data solutions.
- Drive cross-functional technical initiatives solving sophisticated data engineering challenges.
- Lead and mentor engineers through pair programming, code reviews, and collaborative problem-solving.
Requirements
- 7+ years of hands-on experience writing production code and architecting data pipelines with high-volume consumer data in advertising or marketing technology domains.
- 7+ years of direct implementation experience designing, coding, and maintaining complex data models and systems handling structured and unstructured data sources.
- Expert-level coding abilities in SQL, Python, and modern data engineering frameworks with demonstrated ability to write performant, maintainable, and scalable code.
- Digital advertising data engineering expertise with hands-on experience building high-throughput data pipelines for ad serving, conversion tracking, advertising measurement, or integrating and normalizing third-party advertising data from external platforms and partners.
- Proven hands-on experience implementing and debugging data quality audits, monitoring systems, and automated remediation for massive datasets (billions+ rows).
- Technical leadership through coding with experience mentoring engineers via pair programming, code reviews, and collaborative problem-solving.
Nice to have
- Passion for or gaming in general.
- Hands-on collaboration experience implementing solutions with data science, ML engineering, and product teams through direct technical contribution.
- Hands-on integration experience implementing connections with external data sources, APIs, and third-party advertising platforms.
- Experience with modern data storage and processing technologies (BigQuery SQL, Airflow, Dagster, DBT, or similar).
- Experience with data visualization and dashboarding technologies (Looker, Tableau, or similar).
- Experience with designing data architecture to power a variety of use cases, including experimentation.
Culture & Benefits
- We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests.
- is committed to inclusion and providing reasonable accommodations during the interview process.