Senior AI Data Engineer - Marketing Analytics

Blueprint Technologies•Redmond, WA

17h•Remote

About The Position

In this role, you will join a player and data analytics team supporting a globally scaled, highly data-driven digital product. You will build and maintain analytics-ready data pipelines, develop well-structured data models, and deliver high‑impact data products that enable performance marketing, product insights, and downstream AI/ML use cases. You will act as a bridge between technical data systems and business stakeholders, translating complex signals into trusted, actionable insights. The role emphasizes data quality, reliability, and usability, and offers meaningful ownership in shaping modern analytics solutions at scale.

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.

Nice To Haves

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.

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.