Data Scientist 1

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

You will support a technology-focused product engineering team by ensuring telemetry compliance, enhancing data quality, and automating testing workflows. This role combines coding, data validation, and system monitoring to improve product performance and ensure feature readiness across environments. You will work across development, testing, and data engineering functions to build automated tools, validate feature-level telemetry requirements, and support large-scale data operations.

Telemetry & Product Validation

• Review application code to ensure telemetry signals follow established compliance standards.

• Validate event-level data tracking, usage analytics, and diagnostic logging for features before release.

• Monitor and analyze telemetry output to identify gaps or anomalies in tracking.

Automation & Testing

• Develop automated scripts and tools using JavaScript, TypeScript, Python, or C# to test product features and UI workflows.

• Implement and maintain automation frameworks to reduce manual testing and improve test coverage.

• Perform feature validation in pre-production environments to ensure reliability.

Data Engineering & ETL Support

• Design and maintain ETL (Extract, Transform, Load) processes to support large-scale data flows.

• Query structured and semi-structured data using SQL or SCOPE for telemetry validation and reporting.

• Analyze logs and storage systems to troubleshoot issues and drive improvements in product telemetry accuracy.

Cross-Functional Collaboration

• Work closely with product managers, engineers, and data teams to define data requirements.

• Provide technical recommendations for improving monitoring, testing workflows, and data quality standards.

• Support continuous improvement initiatives to increase automation efficiency and compliance accuracy.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field.

• 0–2 years of experience in software development, data engineering, or automation testing.

• Proficiency in at least one programming or scripting language (JavaScript, TypeScript, Python, C#, or Java).

• Knowledge of SQL or equivalent data query tools.

• Understanding of telemetry, logging frameworks, or analytics tracking systems.

• Experience with ETL concepts or building data pipelines.

• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience working with application telemetry, diagnostic logs, or observability tools.

• Familiarity with cloud environments or enterprise data storage systems.

• Exposure to UI automation frameworks or feature testing.

• Knowledge o