Data Engineer

Aristocrat

Data Engineer building scalable pipelines and data models from casino systems. Supporting Aristocrat’s mobile and casino games through reliable analytics data infrastructure.

Posted 9/10/2026full-timeAustin • Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining scalable data pipelines using Python and Node.js, with a strong focus on data modeling, ETL orchestration, and ensuring data quality. Proficient in SQL and capable of collaborating effectively with cross-functional teams to deliver analytical solutions.

Highest-signal resume keywords

Data Pipeline DevelopmentPython ProgrammingSQL ProficiencyETL OrchestrationData Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringETL/ELT PatternsData ProcessingData Quality AssuranceData ValidationPerformance OptimizationTransactional Data ManagementData TransformationProduction WorkflowsGraph Databases

Soft Skills

Attention to DetailClear CommunicationIndependent Problem Solving

Tools & Technologies

Node.jsPythonETL ToolsLinux

Industry Keywords

Data AnalyticsData IntegrityData ModelsData Quality IssuesData Observability

Tech Stack

Tools & technologies

ETLJavaScriptLinuxNeo4jNode.jsPythonSQL

About the role

Key responsibilities & impact

Compose, build, and maintain scalable data pipelines extracting data from casino source systems
Apply complex transformations and load optimized datasets for analytics and downstream applications
Write production-quality Python and Node.js code
Develop and maintain data models representing business domains and supporting analytical use cases
Use ETL orchestration tools to schedule, monitor, and manage production workflows
Optimize queries and data processing logic for large volumes of transactional data
Ensure data integrity 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 requirements and deliver solutions
Document pipelines, data models, and technical decisions

Requirements

What you’ll need

4+ years of professional experience in data engineering or a closely related field
Strong SQL skills
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 for production data workflows
Understanding of ETL/ELT patterns and large-scale data pipeline trade-offs
Familiarity with Linux environments
Ability to work independently on well-defined problems
Strong attention to detail and dedication to data quality and reliability
Clear communication skills, including explaining technical decisions and data concepts to non-technical collaborators
Experience with graph databases such as Neo4j is a plus but not required

Benefits

Comp & perks

Annual bonuses and incentives may be available depending on role and location
Health and wellbeing benefits
Paid time off
Retirement plans
Insurance coverage
Other local or statutory benefits
Comprehensive pay and benefits package
Pay-for-performance compensation approach