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Staff Data Engineer

• Posted 3 days ago • Updated 13 hours ago

Contract W2

Fitment

Dice Job Match Score™

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Job Details

Skills

Startups
Mechanics
Workflow
Mentorship
Development Testing
Documentation
Core Data
Apache Spark
Apache Flink
Messaging
Apache Kafka
Analytics
Database
PostgreSQL
SQL
Cloud Computing
Data Quality
Artificial Intelligence
Data Analysis
Incident Management
Productivity
SQL*Plus
Python
Java
Scala
Regulatory Compliance
Payments
Real-time
Streaming
Change Data Capture
Data Governance
Operational Excellence

Summary

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10216708
Position Id: 2026-6529/64357
Posted 3 days ago

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