Remote Staff Data Platform Engineer

SpinQuest; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

SpinQuest is a remote-friendly company in the United States seeking a Staff Engineer - Data Platform to lead the data foundations for real-time and batch workloads. You will design scalable pipelines, canonical datasets, and governance controls, with broad influence across engineering, product, analytics, security, and compliance.

You will mentor senior engineers, own platform architecture, and apply AI-assisted tooling to accelerate development, testing, and observability while maintaining

Qualifications

• 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 distributed technologies including Airflow, Spark, Flink, Kafka, Trino and Pinot.
• Operational tooling for monitoring, alerting, and data quality; AI/LLM usage for data analysis.

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.
• Mentor senior engineers and influence architecture across teams.
• Leverage AI tools to accelerate development, testing, analysis, and documentation.

Skills

Data platform architecture

Real-time data pipelines

Batch data pipelines

SQL

Python

Java

Scala

Distributed systems

AI tooling for data

Data governance

Tools

Apache Airflow

Apache Spark

Apache Flink

Apache Kafka

Trino

Apache Pinot

Job description

SpinQuest is a remote-friendly company in the United States seeking a Staff Engineer - Data Platform to lead the data foundations for real-time and batch workloads. You will design scalable pipelines, canonical datasets, and governance controls, with broad influence across engineering, product, analytics, security, and compliance.

You will mentor senior engineers, own platform architecture, and apply AI-assisted tooling to accelerate development, testing, and observability while maintaining