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 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.

We are looking for a Data Engineer AI to join us as we build cutting-edge technology solutions!  This is your opportunity to be part of a team that is committed to delivering best-in-class service to our customers.

In this role:

You will be a key member of the data and analytics team supporting one of the most beloved and globally successful games. This role gives you the opportunity to help shape the future of a massively scaled game title by developing robust analytics environments and scalable data pipelines that enable deep insights and informed decision-making. You’ll partner closely with data scientists and stakeholders to transform raw data into actionable intelligence while ensuring high data quality and usability.

As a Senior Analytics Engineer, you will spend the majority of your time coding, designing, and refining data models and pipelines. You’ll be instrumental in supporting analytic workflows, working with big data technologies in a cloud-first environment, and playing a direct role in empowering business and product teams through high-quality data.

Key Responsibilities:

• Build, optimize, and maintain scalable big data pipelines and data models used for analytics and reporting.
• Collaborate closely with data scientists and business stakeholders to understand their analytical needs and translate them into effective data solutions.
• Transform raw data into structured models that are highly usable and well-documented.
• Ensure data integrity, consistency, and quality across all analytical systems.
• Develop clean, efficient, and "pythonic" code to support ETL and data engineering workflows.
• Participate in peer code reviews and maintain high engineering standards.
• Continuously enhance the team’s data engineering frameworks and contribute to the development of data infrastructure.
• Stay current with trends in data engineering, analytics, and AI to bring innovative solutions to the team.

Basic Qualifications:

• 3–5 years of experience in data engineering or analytics engineering roles.
• Strong proficiency in Python (3–5 years), with demonstrated ability to write production-level, reusable code.
• Solid experience in SQL (2+ years) for data querying and transformation.
• Proven track record in building and managing big data pipelines (5+ years).
• Experience in developing scalable data models for analytics (3–5 years).
• Hands-on experience with cloud platforms (Azure, AWS, or GCP) – minimum 3 years
• Prior experience with Databricks and distributed data processing frameworks.
• Strong critical thinking skills and the ability to provide concrete examples of data engineering work impacting business outcomes.
• Bachelor’s degree in Software Engineering, Computer Science, Data Engineering, or a related field (or equivalent practical experience).

Preferred Qualifications:

• Familiarity with the gaming industry or passion for gaming.
• Experience supporting AI or ML projects through engineered data pipelines.
• Demonstrated ability to collaborate with cross-functional teams including product managers, analysts, and engineers.
• Strong communication skills and a user-centered mindset, particularly when developing analytics environments for internal stakeholders.

Salary Range

Pay ranges vary based on multiple factors including, without limitation, skill sets, education, responsibilities, experience, and geographical market. The pay range for this position reflects geographic based ranges for Washington state: $100,000 - 120,000USD/annually. The salary/wage and job title for this opening will be based on the selected candidate’s qualifications and experience and may be outside this range.

Equal Opportunity Employer

Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law.

If you need assistance or a reasonable accommodation to complete the application process, please reach out to: recruiting@bpcs.com

Blueprint believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes:

• Medical, dental, and vision coverage
• Flexible Spending Account
• 401k program
• Competitive PTO offerings
• Parental Leave
• Opportunities for professional growth and development

Location: Redmond/ Bellevue (Hybrid)