Etl Orchestration Developer Jobs

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Data Engineer

Aristocrat Austin, TX

Austin, TX

Today

$91k - $169k/yr Full time Big Data Data Analytics Data Architecture

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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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