обновлено 10 дней назад
Data Engineer (iGaming)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (iGaming) (Python/Node.js): Building and maintaining scalable data pipelines for casino source systems with an accent on ETL orchestration, data modeling, and processing large volumes of transactional data. Focus on validating data integrity, resolving pipeline failures and performance bottlenecks, and delivering reliable analytical datasets.
Location: Austin, Texas, United States
Company
An entertainment and content-building company developing mobile and casino games through technology and innovation.
What you will do
- Build and maintain scalable data pipelines that extract data from casino source systems, transform it, and load optimized datasets for analytics and downstream applications.
- Develop production-quality data processing code in Python and Node.js.
- Create and maintain data models for business domains and analytical use cases.
- Use ETL orchestration platforms to schedule, monitor, and manage production workflows.
- Optimize queries and processing logic for large volumes of transactional data.
- Validate data integrity, investigate quality issues, resolve pipeline failures, and document technical decisions.
Requirements
- 4+ years of professional experience in data engineering or a related field.
- Strong SQL skills and hands-on experience with data modeling for analytics or reporting.
- Professional experience with Python and Node.js for data processing and pipeline development.
- Experience with ETL orchestration platforms and production data workflows.
- Understanding of ETL/ELT patterns, Linux environments, data quality, and pipeline reliability.
- Ability to work independently and explain technical decisions to non-technical collaborators.
Nice to have
- Experience with graph databases such as Neo4j.
Culture & Benefits
- Inclusive, collaborative environment focused on technical excellence and continuous growth.
- Compensation is determined based on skills, experience, qualifications, and location.
- Potential benefits include annual bonuses, health and wellbeing coverage, paid time off, retirement plans, and insurance coverage, depending on role and location.
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