Data Engineer: Scalable Analytics Pipelines

Aristocrat Leisure; Austin (TX); On-site; USD 91,000 - 169,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Paid time off

401(k) with employer matching

Job summary

Aristocrat Leisure is hiring a Data Engineer to build and optimize scalable data pipelines from casino source systems, applying transformations for analytics. You will write production-quality Python and Node.js, develop data models for analytics, and ensure data integrity through validation and observability.

Join a team focused on data-driven decisions, collaboration with data scientists, analysts, and product teams, and documenting pipelines for maintainability.

Qualifications

• 4+ years of experience in data engineering or related field.
• Strong SQL skills and data modeling for analytics.
• Proficient in Python and Node.js for data processing.
• Experience with ETL orchestration platforms and data workflows.
• Familiar with Linux environments and data quality practices.
• Excellent communication with technical and non-technical stakeholders.

Responsibilities

• Compose, build, and maintain scalable data pipelines from casino source systems.
• Write production-quality Python and Node.js code for reliability and performance.
• Develop data models to support analytics and business domains.
• Work with ETL orchestration tools to schedule and monitor workflows.
• Optimize queries and data processing for large transactional data.
• Ensure data integrity with validation, testing, and observability.
• Collaborate with data scientists, analysts, and product teams to meet data needs.
• Document pipelines, data models, and technical decisions for maintainability.

Skills

SQL

Python

Node.js

ETL pipelines

Data modeling

Data quality

Linux

Communication

Tools

Neo4j

Job description

Aristocrat Leisure is hiring a Data Engineer to build and optimize scalable data pipelines from casino source systems, applying transformations for analytics. You will write production-quality Python and Node.js, develop data models for analytics, and ensure data integrity through validation and observability.

Join a team focused on data-driven decisions, collaboration with data scientists, analysts, and product teams, and documenting pipelines for maintainability.