Data Engineer — Build Scalable, Reliable Pipelines

GamblingCareers.com; Austin (TX); On-site; USD 91,000 - 169,000; Full time

Benefits offered by this job

World Leader in Gaming Entertainment

Robust benefits package

Global career opportunities

Job summary

Aristocrat is a leading gaming company seeking a Data Engineer to design, implement, and optimize scalable data pipelines and data models for analytics. You will work with Python and Node.js to develop reliable pipelines, collaborate with data scientists and analysts, and ensure data quality across production systems.

The role emphasizes independent problem solving, strong SQL, and experience with ETL/ELT patterns, with opportunities to influence data strategy in a regulated gaming environment.

Qualifications

• 4+ years of professional experience in data engineering or a closely related field.
• Strong SQL skills and hands-on experience with data modeling for analytics or reporting use cases.
• Proficiency in Python and Node.js for data processing and pipeline development.
• Experience with ETL orchestration platforms to develop, schedule, and manage production data workflows.
• Solid understanding of ETL/ELT patterns and trade-offs in scaling data pipelines.
• Familiarity with Linux environments for deployment and operations.
• Ability to work independently on well-defined problems and make sound technical decisions.
• Strong attention to detail and commitment to data quality.

Responsibilities

• Compose, build, and maintain scalable data pipelines from casino source systems to analytics datasets.
• Write production-quality code in Python and Node.js emphasizing reliability and performance.
• Develop data models that reflect business domains and support analytics use cases.
• Work with ETL orchestration tools to schedule and monitor production workflows.
• Optimize queries and data processing to handle large volumes of data efficiently.
• Ensure data integrity through validation, testing, and observability practices.
• Investigate and resolve data quality issues, pipeline failures, and bottlenecks.
• Collaborate with data scientists, analysts, and product teams to meet data requirements.
• Document pipelines, data models, and key technical decisions.

Skills

SQL

Python

Node.js

ETL platforms

Data modeling

Linux environments

Data integrity

Communication

Neo4j (plus)

Tools

Neo4j

Job description

Aristocrat is a leading gaming company seeking a Data Engineer to design, implement, and optimize scalable data pipelines and data models for analytics. You will work with Python and Node.js to develop reliable pipelines, collaborate with data scientists and analysts, and ensure data quality across production systems.

The role emphasizes independent problem solving, strong SQL, and experience with ETL/ELT patterns, with opportunities to influence data strategy in a regulated gaming environment.