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 a Data Engineer on the Data Pipeline team, you will build and support modern, large-scale analytics platforms that power data-driven decision-making across the studio. You’ll work hands-on with cloud-based lakehouse and warehouse architectures, designing and maintaining real-time and batch data pipelines that serve business, design, test, and development stakeholders. This role sits at the intersection of data engineering, analytics enablement, and documentation, helping teams not only use data effectively but also understand and trust the systems behind it.

You’ll contribute to a culture of test-driven, data-informed development by shaping how data is captured, processed, documented, and shared. Attention to detail, strong engineering fundamentals, and a passion for scalable, modern data architecture are key to success in this role.

Responsibilities

• Design, build, and maintain scalable, high-quality data pipelines supporting both real-time and batch analytics workloads
• Develop and optimize ETL/ELT processes using modern cloud data technologies and orchestration tools
• Contribute to the design and evolution of lakehouse and warehouse data models that support analytics and reporting needs
• Partner with business, design, test, and development teams to understand data requirements and improve data capture strategies
• Help lead technical writing initiatives, including goal-setting, planning, and execution
• Write, edit, and maintain clear, concise, and well-structured technical documentation
• Create and improve documentation standards, organization, and knowledge-sharing processes
• Organize and curate documentation to ensure it is intuitive, discoverable, and up to date
• Advocate for consistent knowledge sharing across teams and studios
• Research and propose improvements to documentation workflows and solutions to existing pain points
• Apply modern engineering best practices to ensure reliability, scalability, and data quality across platforms

Required Qualifications

• 5+ years of professional experience working with SQL
• 5+ years of experience designing and implementing scalable ETL processes, including data movement and data quality tooling
• Hands-on experience with cloud-based data orchestration solutions (e.g., Azure Data Factory or equivalent)
• 3+ years of experience with modern big data analytics platforms, including:
  • Data lakes
  • Distributed processing frameworks (e.g., Spark)
  • Columnar storage formats such as Parquet
• 2+ years of experience building and supporting cloud-hosted data systems
• Strong understanding of data modeling, pipeline reliability, and performance optimization