Staff Data Engineer
OP · United States
- On site
- Full-time
- United States
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About the role
OP is partnering with a fast-growing iGaming startup to hire talented individuals building the next generation of sweepstakes-based gaming experiences. Operating at the intersection of gaming, technology, and user engagement, the platform enables seamless cross-game interactions powered by innovative mechanics. With plans to rapidly scale this year, the team is seeking builders who thrive in fast-paced environments where ideas move from concept to live product in weeks.
Role Overview
As a Staff Engineer, Data Platform, you will serve as a key contributor for the 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.
Key Responsibilities
Role Overview
As a Staff Engineer, Data Platform, you will serve as a key contributor for the 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.
Key Responsibilities
- 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 an escalation point for complex data incidents.
- Mentor senior engineers and influence architecture across teams.
- Leverage AI tools to accelerate development, testing, analysis, and documentation.
- The ideal candidate has deep, hands-on experience with modern data platforms and large-scale data systems, including:
- Distributed processing: Apache Spark, Apache Flink.
- Streaming & messaging: Apache Kafka.
- Query & analytics engines: Trino.
- Databases: ClickHouse, Postgres.
- Data languages: SQL.
- 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.
- 8 12+ 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.
- FinTech, gaming, payments, or regulated environment experience.
- Real-time streaming, CDC, or event-driven architectures.
- Experience in stewarding canonical datasets and data governance.
- Passion for gaming or entertainment platforms.
- This is an individual contributor role. It is a high-ownership, low-process, high-trust environment with strong emphasis on production quality, reliability, security, and operational excellence.
- 100% medical, dental & vision coverage (partial for dependents).
- 401(k) employer match.