AI Data Engineer 3

AI Data Engineer 3 Skill sick time United States, Washington, Redmond May 08, 2026

Overview Placement Type:

N/A Salary:

$74.74-83.04 Hourly up to $83.04/hr

Start Date:

May 18, 2026 Aquent is partnering with a global leader in the digital entertainment industry, renowned for its innovative platforms that inspire creativity and connect communities worldwide. This is an exciting opportunity to contribute to a team dedicated to transforming data into actionable insights, driving significant impact across various initiatives. We are seeking a talented Analytics Engineer to join a dynamic Player and Data Analytics team. In this role, you will be instrumental in building robust data pipelines, crafting sophisticated data models, and developing innovative data products. Your work will directly enhance creator programs, delivering new and amazing experiences for users globally. If you are a critical thinker who combines technical expertise with a deep understanding of business needs, and are passionate about turning data signals into impactful solutions, this role offers a unique chance to shape the future of a beloved platform.

• What you'll do:
• Develop subject matter expertise in business and data domains, collaborating with data consumers and stakeholders to understand their information needs and facilitate data access.
• Identify and analyze multi-structured data or 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 infrastructure by developing and utilizing frameworks, reusable components, and new capabilities to achieve team objectives.
• 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 a related field AND 4+ years of experience in analytics engineering, data engineering, data science, data analysis, 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 analysis, or related software development work.
• OR equivalent experience.
• 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.

• Nice-to-Have 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.

• About Aquent Talent:

• Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.

Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits! 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. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive. #LI-TC1