Blueprint Technologies needs an AI Data Engineer to transform gameplay data into insights and scalable data products to fuel analytics and AI innovation for one of the world’s most popular video game franchises.
Requirements
- Python (3–5 years) for data processing with a focus on performance and readability.
- SQL (2+ years) for large-scale data manipulation and query optimization.
- Data modeling (3–5 years) to support analytics, dashboards, and AI applications.
- Big data pipeline development (5+ years), particularly involving event or log data.
- Cloud platforms (3–5 years), preferably Azure or equivalent.
- Experience with Databricks, Apache Spark, and orchestration tools like Airflow.
- Familiarity with DevOps/DataOps practices and continuous integration/continuous deployment (CI/CD).
Responsibilities
- Design and maintain scalable, high-quality data models and dataflows tailored for analytics and machine learning.
- Develop and manage end-to-end automated data pipelines that clean, transform, and enrich complex gameplay data.
- Build reusable tools and frameworks to support ongoing analytics and AI initiatives.
- Maintain metadata and documentation that improves discoverability and trust in the data.
- Identify and resolve pipeline or modeling issues to maintain data accuracy and reliability.
- Contribute to AI experimentation and model development through well-prepared and accessible data sets.
- Ensure the integrity, privacy, and security of data through best practices in governance and compliance.
Other
- Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
- 5–7 years of experience in data or analytics engineering roles, including:
- Excellent critical thinking and problem-solving skills.
- Strong collaboration and communication skills.
- Background or strong interest in the video game industry as a developer or player.
- Demonstrated ability to build highly usable and flexible data solutions aligned with business goals.
- Location: Hybrid, 2 days per week in Redmond, WA
