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.

In This Role

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.

Responsibilities

• 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)

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field and 2+ years of analytics engineering, data engineering, data science, or data analysis experience

OR

• Master’s degree in similar field and 1+ year of related experience

OR

• Equivalent professional experience.

• 1+ years working as an Analytics Engineer or Data Engineer with consistent business collaboration on large-scale systems.

Top Must-Have Hard Skills

1. Python — 2+ years

2. SQL — 2+ years

3. Data Modeling — 2+ years

Preferred Qualifications

• 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 event-stream data—on cloud platforms using tools such as Spark and Airflow (Azure preferred).

• Strong Python proficiency with a “pythonic” development approach; solid SQL skills.

• Familiarity with DevOps and DataOps practices.

• Video game industry or player experience—understanding gameplay systems, player behavior, or game telemetry is a meaningful plus.

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: $110,000 – $125,000 USD/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 believes 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:Remote, preferably in the Greater Seattle area.