Blueprint is a technology solutions firm headquartered in Bellevue, Washington, focused on solving complex problems through innovative technology. The Senior AI Data Engineer will build and maintain analytics-ready data pipelines and develop data models that support performance marketing and AI/ML use cases, acting as a bridge between technical data systems and business stakeholders.
Responsibilities:
- Partner closely with analysts, data scientists, engineers, and business stakeholders to understand analytics and reporting needs and enable self-service data access
- Build subject matter expertise in relevant business and data domains to ensure accurate interpretation and application of data
- Identify, analyze, and document multi-structured data from diverse sources to support analytics and machine learning requirements
- Design and maintain scalable data models, dataflows, and abstractions that evolve with changing business needs
- Architect, build, and optimize automated data pipelines that transform raw logs and event data into clean, enriched, analytics-ready datasets
- Apply modern analytics and data engineering best practices using object-oriented and modular approaches
- Develop reusable frameworks, standardized components, and new data capabilities to improve system scalability and efficiency
- Enable and enhance performance marketing strategies by delivering robust, reliable data products and insights
- Ensure high standards for data quality, security, and reliability across all solutions
Requirements:
- Bachelor's degree in Computer Science, Software Engineering, or a related technical field with 4+ years of relevant experience OR Master's degree in a related field with 3+ years of relevant experience OR Equivalent professional experience
- 2+ years of hands-on experience in an analytics engineering or data engineering role supporting business stakeholders
- Strong proficiency in SQL for analytics and data modeling
- Advanced Python skills for data transformation, automation, and pipeline development (4–5+ years)
- Experience designing and building data models to support analytics and reporting use cases (3+ years)
- Experience working with large-scale data pipelines handling logs and/or event-streaming data
- Hands-on experience with cloud-based data platforms and modern data tools (e.g., Spark, workflow orchestration tools); cloud experience strongly preferred
- Proven ability to deliver analytics solutions and data products that drive measurable business impact
- Experience supporting performance marketing, growth, or digital product analytics use cases (2+ years preferred)
- Strong analytical and exploratory skills to evaluate data quality, relevance, and structure
- Solid business acumen with the ability to frame technical solutions around real-world business problems
- Working knowledge of DevOps and/or DataOps practices
- Experience collaborating in cross-functional, product-oriented environments
- Familiarity with the video game or interactive entertainment domain is a plus, whether as an industry professional or experienced player
- Demonstrated critical thinking, problem-solving skills, and a growth-oriented mindset