Data Engineer

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

At Aristocrat, we are on a mission to bring happiness to life through the power of play! As a leading entertainment and content-building company, we are powered by technology and innovation, delivering world-class mobile and casino games to millions of people daily. Our dynamic culture and goal-focused approach develop an inclusive environment where your contributions matter. Joining us as a Data Engineer, you'll play a pivotal role in driving our engineering team's success and ensuring flawless execution of our projects. This is your chance to be part of an ambitious team that values collaboration, technical excellence, and continuous growth!

What You'll Do

• Compose, build, and maintain scalable data pipelines that extract data from casino source systems, apply complex transformations, and load optimized datasets for analytics and downstream applications.
• Write efficient, production-quality code in Python and Node.js that fulfills reliability, performance, and maintainability criteria.
• Develop and maintain data models that accurately represent business domains and support analytical use cases.
• Work with ETL orchestration tools to schedule, monitor, and manage workflows in production environments.
• Optimize queries and data processing logic to handle large volumes of transactional data efficiently.
• Ensure data integrity across the pipeline through validation, testing, and observability practices.
• Investigate and resolve data quality issues, pipeline failures, and performance bottlenecks.
• Collaborate with data scientists, analysts, and product teams to understand data requirements and deliver solutions that meet them.
• Document pipelines, data models, and technical decisions to support team knowledge and maintainability.

What We're Looking For

• 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.
• Skilled in Python and Node.js for data processing and pipeline development.
• Experience working with ETL orchestration platforms to develop, schedule, and manage production data workflows.
• Solid understanding of ETL/ELT patterns and the trade-offs involved in crafting data pipelines at scale.
• Familiarity with Linux environments for pipeline deployment and operational tasks.
• Ability to work independently on well-defined problems, making sound technical decisions without close supervision.
• Strong attention to detail and a genuine dedication to data quality and reliability.
• Clear communicator who can explain technical decisions and data concepts to non-technical collaborators.
• Experience with graph databases such as Neo4j is a plus but not required.

Compensation Philosophy

We offer a comprehensive pay and benefits package designed to stay competitive in the market, support your wellbeing, and recognise your contribution to our success. Our approach is underpinned by a pay-for-performance belief in rewarding individual impact. Your specific compensation package will be determined by factors such as your skills, experience, qualifications, and location.

Depending on your role and location, you may be eligible for annual bonuses and incentives, health and wellbeing benefits, paid time off, retirement plans, insurance coverage, and other local or statutory benefits.

Specific details about compensation and benefits for this position will be discussed during the recruitment process.