Senior AI Data Engineer - Marketing Analytics

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