AI Data Engineer

Who is Blueprint?

We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun.

What does Blueprint do?

Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies.

Why Blueprint?

At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint.

 

AI Data Engineer

In this role

As an AI Data Engineer, you will be at the forefront of transforming gameplay data into powerful insights and scalable data products that fuel analytics and AI innovation. This role combines engineering excellence with a strong understanding of business needs to support data scientists, game developers, and product teams. You'll help build and maintain robust, automated pipelines and analytics-ready datasets, supporting one of the world’s most popular video game franchises. This is a high-impact opportunity to influence game development and player experience through intelligent, data-driven solutions.

Responsibilities

• Become a subject matter expert in gaming analytics and collaborate with data consumers to understand and support their data needs.

• Design and maintain scalable, high-quality data models and dataflows tailored for analytics and machine learning.

• Develop and manage end-to-end automated data pipelines that clean, transform, and enrich complex gameplay data.

• Build reusable tools and frameworks to support ongoing analytics and AI initiatives.

• Ensure the integrity, privacy, and security of data through best practices in governance and compliance.

• Collaborate cross-functionally with engineers, data scientists, analysts, and stakeholders to ensure solutions are usable and reliable.

• Maintain metadata and documentation that improves discoverability and trust in the data.

• Identify and resolve pipeline or modeling issues to maintain data accuracy and reliability.

• Contribute to AI experimentation and model development through well-prepared and accessible data sets.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.

• 5–7 years of experience in data or analytics engineering roles, including:

  • Python (3–5 years) for data processing with a focus on performance and readability.

  • SQL (2+ years) for large-scale data manipulation and query optimization.

  • Data modeling (3–5 years) to support analytics, dashboards, and AI applications.

  • Big data pipeline development (5+ years), particularly involving event or log data.

  • Cloud platforms (3–5 years), preferably Azure or equivalent.

• Deep understanding of scalable architecture, data lifecycle, and ETL best practices.

• Excellent critical thinking and problem-solving skills.

• Strong collaboration and communication skills.

Preferred Qualifications

• Experience with Databricks, Apache Spark, and orchestration tools like Airflow.

• Familiarity with DevOps/DataOps practices and continuous integration/continuous deployment (CI/CD).

• Background