We are building a high growth platform that blends social gaming with innovative currency mechanics creating seamless, real-time experiences across games. We’re creating next-gen sweepstakes gaming experiences that are fast, fun, and highly scalable.
As a Staff Engineer, Data Platform, you will serve as the technical leader for SpinQuest’s data foundations. You’ll design and evolve the systems that power real-time and batch data pipelines, canonical datasets, transactional systems, analytics, and compliance workflows. This is a hands-on senior individual contributor role with broad influence across engineering, product, analytics, security, and compliance.
What You’ll Own
- Senior Individual Contributor role.
- High-ownership, low-process, high-trust environment with strong emphasis on production quality, reliability, security, and operational excellence
- Own and evolve the data platform architecture supporting real-time and batch workloads. Design and build scalable, reliable data pipelines for gameplay, payments, and analytics
- Define canonical datasets, data models, and golden paths for data consumption
- Ensure data correctness, auditability, and traceability in regulated environments
- Define SLAs, monitoring, and operational standards for data systems
- Serve as escalation point for complex data incidents
- Mentor senior engineers and influence architecture across teams
- Leverage AI tools to accelerate development, testing, analysis, and documentation
- 8+ years building large-scale data systems in production environments
- Expertise in data platform architecture, pipelines, and distributed systems
- Strong SQL plus proficiency in Python, Java, or Scala
- Experience operating data platforms with SLAs, on-call rotation, and compliance requirements
- Hands-on experience with modern data platforms and large-scale data systems, including:Workflow orchestration: Apache AirflowDistributed processing: Apache Spark, Apache Flink. Streaming & messaging: Apache Kafka. Query & analytics engines: Trino, Apache Pinot Data languages: SQL, Python, Scala, Java. Cloud-native data platforms and distributed systems
- Operational tooling for monitoring, alerting, and data quality
- Applied use of AI/LLMs and agents for data analysis, incident response, and developer productivity
- FinTech, gaming, payments, or regulated environment experience
- Real-time streaming, CDC, or event-driven architectures
- Experience stewarding canonical datasets and data governance
- Passion for gaming or entertainment platforms
Annual performance bonus: 10% –15%
Benefits & Total Rewards
We believe great talent deserves great benefits. SpinQuest offers comprehensive Health, Dental, and Vision coverage for employees, spouses, and dependents. SpinQuest covers 100% of employee health insurance premiums, offers a 4% 401(k) match. It’s a strong total rewards package designed to support you both today and as you grow with the company.
About SpinQuest
SpinQuest is a social casino platform built on a simple principle: made by players, for players. Founded in 2025, we've grown into one of the most recognized names in the social gaming space through deep partnerships with leading content creators, original in-house games, and a community-first approach to everything we build.
Our brand extends well beyond the platform. We produce original content including documentary series and our own game show, develop collaborative game titles with creator partners, and host large-scale live events that bring our community together in person. Community investment is core to how we operate — including charitable activations that have returned more than $500,000 to local communities through toy drives, food drives, and community events.
Players can enjoy casino-style games such as slots, blackjack, roulette, and craps purely for entertainment. Gameplay uses virtual coins that have no cash value, with free coins available daily and through ongoing promotions. Optional coin packages are available, but they are never required to enjoy the games. For more information, visit SpinQuest .
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
