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Aristocrat

Data Engineer

Aristocrat
Austin, TX $91k - $169k/yr Full time Posted 4h ago
Big Data Data Analytics Data Architecture Data Engineer Data Integration Data Pipeline Data Platform Data Processing Database Databases ETL Etl Orchestration Graph Database SQL
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Job Description

Benefits

  • Health, dental, and vision insurance
  • Paid time off
  • 401(k) plan with employer matching
  • Salary: USD 91,000 - 169,000 per year

Location: Austin, TX (onsite) • Compensation: USD 91,000 to 169,000 annually

Why Aristocrat?

Aristocrat is a global leader in gaming content and technology, delivering strong performance for B2B partners while bringing enjoyment to players of casino and mobile games. The company emphasizes responsible gameplay, strong governance, employee wellbeing, and sustainable practices. The organization supports a diverse workforce and offers broad opportunities to grow across borders.

  • World Leader in Gaming Entertainment
  • Robust benefits package
  • Global career opportunities

Our Values

  • All about the Player
  • Talent Unleashed
  • Collective Brilliance
  • Good Business Good Citizen

Responsibilities

  • Design and sustain scalable data pipelines that pull data from casino source systems, apply transformations, and produce analytics-ready datasets for analytics and downstream apps.
  • Develop reliable production code in Python and Node.js to meet reliability, performance, and maintainability standards.
  • Create and maintain data models that reflect business domains and support analytics use cases.
  • Leverage ETL orchestration platforms to schedule, monitor, and manage production data workflows.
  • Tune queries and processing logic to efficiently handle large volumes of transactional data.
  • Maintain data integrity across pipelines through validation, testing, and observability practices.
  • Investigate data quality issues, resolve pipeline failures, and address 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 knowledge sharing and maintainability.

Requirements

  • At least four 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 and ELT patterns and the trade-offs when building data pipelines at scale.
  • Familiarity with Linux environments for deployment and operational tasks.
  • Ability to work independently on well-defined problems and make sound technical decisions without close supervision.
  • Strong attention to detail and commitment to data quality and reliability.
  • Effective 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.

Technologies

  • Python
  • Node.js
  • SQL
  • Neo4j
  • Linux
  • ETL orchestration platforms

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