AI Data Engineer
Listed on 2026-05-07
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IT/Tech
Data Engineer, Data Science Manager, Data Analyst
This is an exciting opportunity to join a leading global interactive entertainment company that inspires people worldwide to create together and fosters one of the most active and passionate player communities. You will play a pivotal role in shaping the future of data-driven decision-making, directly impacting how our interactive entertainment platform engages with its vast audience. Your work will transform complex data into actionable insights and innovative data products, significantly enhancing our performance marketing programs and contributing to the continued success and growth of a beloved entertainment experience.
WhatYou’ll Do
- Build subject matter expertise across our business and data domains, collaborating closely with data consumers and stakeholders to understand their information needs and facilitate data access.
- Identify and analyze multi-structured data and metadata from diverse sources to select and document the most effective and accurate data for analytics requirements.
- Design data models, architect dataflows, and develop abstractions to deliver scalable solutions for analytics and machine learning, ensuring adaptability to evolving needs.
- Leverage modern data engineering practices and frameworks with an object-oriented approach to architect, build, and maintain automated data pipelines that transform data into clean, enriched, and accurate information.
- Advance our data infrastructure by developing frameworks, reusable components, and new capabilities to achieve our strategic mission.
- Enable the performance marketing strategy for our interactive entertainment platform through the development of relevant and robust data products.
- Bachelor’s Degree in Computer Science, Software Engineering, Computer Engineering, or a related field AND 4+ years of experience in analytics engineering, data engineering, data science, data analyst, or related software development work; OR Master’s Degree in Computer Science, Software Engineering, Computer Engineering, or a related field AND 3+ years of experience in analytics engineering, data engineering, data science, data analyst, or related software development work;
OR equivalent experience. - 2+ years of experience working as an Analytics Engineer or Data Engineer with regular business collaboration or equivalent on large enterprise systems.
- Proven experience building, maintaining, and optimizing enterprise-scale data pipelines handling logs and event streaming data on Cloud Data Platforms using modern tools like Spark and Airflow.
- Proficiency with SQL and advanced skills with Python for data transformation and automation.
- A critical thinker and problem solver with a creative and open mindset.
- A proven track record of building and optimizing analytic solutions and data products that deliver significant business impact.
- Strong data analysis and exploration skills to identify, select, and prepare data for analytics.
- Solid business acumen to effectively address business challenges through analytics engineering.
- Working knowledge of Dev Ops and Data Ops practices.
- Domain knowledge in interactive entertainment, either as an experienced player or an industry veteran.
The target hiring compensation range for this role is $115–120 Hourly, with openness to $132.87 Hourly for candidates who demonstrate strong senior-level experience.
Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location.
Aquent is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.
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