Data Engineer: Build Scalable Pipelines & Analytics

Aristocrat; Austin (TX); On-site; USD 120,000 - 170,000; Full time

Job summary

Aristocrat is seeking a Data Engineer to build scalable data pipelines, model data for analytics, and partner with data scientists and product teams. You will write production-grade Python and Node.js, orchestrate ETL jobs, optimize large datasets, ensure data quality, and document architectures to improve reliability and collaboration.

Join a team that values technical excellence and continuous learning as you contribute to cutting-edge analytics and data-driven decision making across our

Qualifications

• 4+ years of professional data engineering experience.
• Strong SQL and data modeling for analytics.
• Proficient in Python and Node.js for pipelines.
• Experience with ETL orchestration platforms.
• Knowledge of ETL/ELT patterns and scalable pipelines.
• Familiarity with Linux for deployment.
• Ability to work independently with minimal supervision.
• Attention to detail and data quality.
• Clear communicator of technical concepts.
• Graph databases like Neo4j is a plus.

Responsibilities

• Build scalable data pipelines extracting data from casino source systems and load analytics-ready datasets.
• Write production-grade Python and Node.js code for reliability and performance.
• Develop data models supporting analytical use cases.
• Use ETL orchestration tools to schedule and monitor workflows.
• Optimize queries and processing for large transactional data.
• Ensure data integrity via validation and observability.
• Investigate data quality issues and pipeline failures.
• Collaborate with data scientists, analysts, and product teams on data needs.
• Document pipelines, data models, and decisions for maintainability.

Skills

SQL

Data modeling

Python

Node.js

ETL/ELT patterns

Linux

Independent work

Data quality

Communication

Data pipeline troubleshooting

Tools

ETL orchestration platforms

Neo4j

Job description

Aristocrat is seeking a Data Engineer to build scalable data pipelines, model data for analytics, and partner with data scientists and product teams. You will write production-grade Python and Node.js, orchestrate ETL jobs, optimize large datasets, ensure data quality, and document architectures to improve reliability and collaboration.

Join a team that values technical excellence and continuous learning as you contribute to cutting-edge analytics and data-driven decision making across our