Staff Engineer, Data Platform

Orangepeople LLC
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Java
Artificial Intelligence
Data analysis
Big Data
Databases
Data Governance
Data Infrastructure
Data Systems
Distributed Computing Environment
Distributed Systems
Python
PostgreSQL
Cloud Services
Standard Sql
SQL Databases
Data Streaming
Large Language Models
Spark
Event Driven Architecture
Build Management
Core Data
Apache Flink
Kafka
Data Management
Vertica
Data Pipelines
Service Stack

Job description

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., * 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.

Requirements

  • 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.

Benefits & conditions

  • 100% medical, dental & vision coverage (partial for dependents).
  • 401(k) employer match.

About the company

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.

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