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# Staff Engineer, Data Platform

- **Company:** Orangepeople LLC
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Data Analysis, Big Data, Databases, Data Governance, Data Infrastructure, Data Systems, Distributed Computing Environment, Distributed Systems, Python (Programming Language), PostgreSQL, Cloud Services, Standard Sql, SQL Databases, Data Streaming, Large Language Models, Apache Spark, Event Driven Architecture, Build Management, Core Data, Apache Flink, Apache Kafka, Data Management, Vertica, Data Pipelines, Service Stack
- **Published:** June 8, 2026
- **Apply:** https://www.dice.com/job-detail/bff7fe31-84cc-4c36-9835-140c52534c57

## About the Role

* 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.

## 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.


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