Join a globally recognized leader in interactive entertainment, inspiring millions to create and connect through innovative digital experiences. This company fosters one of the most active and passionate player communities worldwide, pushing the boundaries of digital engagement. Are you a data visionary eager to transform raw information into strategic insights that shape the future of digital experiences? We’re seeking a talented Analytics Engineer to join a dynamic team at the forefront of player and data analytics. In this pivotal role, you won’t just process data; you’ll build the robust foundations and innovative data products that directly empower creators and enhance the experiences of millions of players globally. Your work will be critical in translating complex signals into actionable intelligence, driving impactful outcomes across AI/ML, marketing, and product development. Responsibilities Build subject matter expertise of our business and data domains to collaborate with data consumers and stakeholders to understand their information needs and assist them with data access. Identify and analyze multi-structured data or metadata from a variety of sources to select and document the most effective and accurate data which fulfills the analytics requirements. Design data models, architect dataflows, and develop abstractions to deliver scalable solutions for analytics and machine learning ensuring they can evolve with changing needs. Leverage modern data engineering practices and frameworks with an object-oriented approach to architect, build, and maintain automated data pipelines which transform data into clean, enriched, and accurate information. Advance our infrastructure by developing and using frameworks, reusable components and new capabilities to achieve our mission. Develop enterprise grade data-serving API endpoints and underlying data products, analytics solutions, and infrastructure. Required Qualifications Bachelor’s Degree in Computer Science, Software Engineering, Computer Engineering, or related field AND 4+ years experience in analytics engineering, data engineering, data science, data analyst, or related software development work. Master’s Degree in Computer Science, Software Engineering, Computer Engineering, or related field AND 3+ years experience in analytics engineering, data engineering, data science, data analyst, or related software development work. 2+ years working as an Analytics Engineer or Data Engineer with regular business collaboration or equivalent on large enterprise systems. 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; Advanced skills with Python for data transformation and automation. Backend development experience building secure and performant enterprise grade APIs. Preferred Qualifications Critical thinker and problem solver who brings a creative and open mindset. A proven track record building and optimizing analytic solutions and data products which deliver significant business impact. Data analysis and exploration skills to identify, select and prepare data for analytics. Business acumen to address business challenges through analytics engineering. Working knowledge of DevOps and DataOps. Video game domain knowledge is important – as an experienced Player or industry veteran. Equal Opportunity Employment Aquent is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, nationality, disability, veteran status, and other legally protected characteristics. We’re about creating an inclusive environment where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive. #J-18808-Ljbffr