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.

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.

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.

As an Analytics Engineer
, you will serve as a bridge between raw data and decision‑making. You will transform large volumes of complex gameplay and event‑streaming data into scalable, reliable, and business‑ready data products. Partnering closely with data consumers, engineering teams, and product stakeholders, you will design data models, build automated pipelines, and develop frameworks that enable analytics, machine learning, and deeper understanding of player behavior.

This role requires strong technical capability, business curiosity, and a creative problem‑solving mindset.

• Build deep subject‑matter expertise across business and data domains to support data consumers and stakeholders with access, interpretation, and insights.
• Identify and analyze multi‑structured data or metadata from numerous sources to determine the most accurate and effective inputs for analytics.
• Design scalable data models, architect dataflows, and develop abstractions to support analytics and ML workloads that evolve with business needs.
• Use modern data engineering best practices to build and maintain automated, object‑oriented data pipelines that produce clean, enriched, and reliable datasets.
• Advance the data infrastructure by developing reusable components, frameworks, and capabilities that improve quality, velocity, and consistency.
• Collaborate extensively with users and stakeholders.
• ~10% meetings
• ~30% requirements gathering, data profiling, and user engagement
• ~60% coding (70% data transformations, 30% infrastructure)

• Bachelor’s degree in Computer Science, Engineering, or related field and 2+ years of analytics engineering, data engineering, data science, or data analysis experience
• Master’s degree in similar field and 1+ year of related experience
• Equivalent professional experience.
• 1+ years working as an Analytics Engineer or Data Engineer with consistent business collaboration on large‑scale systems.

• Strong critical‑thinking skills and a creative, open mindset toward problem solving.
• Proven experience designing and optimizing analytic solutions and data products that drive measurable business outcomes.
• Strong data analysis and exploration skills for identifying, preparing, and validating data and metadata.
• Business acumen and the ability to translate ambiguous needs into practical analytics engineering solutions.
• Experience building and maintaining enterprise‑scale data pipelines—especially logs and…