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Staff Data Engineer

OrangePeopleUnited States🇺🇸United StatesPosted 10 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

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:
  • 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.
Core Data Technology Stack:
  • 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.
Required Qualifications:
  • 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.
Nice to have:
  • 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.
Role Clarifications:
  • 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.
Benefits
  • 100% medical, dental & vision coverage (partial for dependents).
  • 401(k) employer match.

Skills

SQL
Scala
Flink
Apache
Apache Spark
Java
Kafka
Python

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