Data Engineer
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About the Role
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
In this role, you will join a data engineering team responsible for building, improving, and maintaining internal data pipelines that support high‑priority product initiatives and upcoming launch deadlines. You will work on enhancing pipeline performance and reliability while integrating new capabilities that enable large‑scale model usage for generating training labels used in ranking and search systems. This position partners closely with engineers, data scientists, and stakeholders to ensure high‑quality, accessible data for data‑driven decision‑making.
Responsibilities- Collaborate with senior leadership, engineering teams, and business stakeholders to gather data requirements and define effective data implementation strategies.
- Design, build, automate, and maintain large‑scale ETL pipelines and data processing workflows.
- Improve the performance, scalability, and responsiveness of existing data pipelines to support time‑sensitive product needs.
- Implement new data features and integrations to support advanced model usage for training data generation.
- Develop and maintain logical and physical database designs, including schema definitions and data identifiers.
- Modify and optimize existing databases and data management systems as requirements evolve.
- Ensure data quality, reliability, and accessibility across data platforms.
- Test data pipelines, scripts, and database systems; troubleshoot issues and implement fixes as needed.
- Partner closely with data scientists and analysts to support analytics, modeling, and experimentation needs.
- Follow best practices for data manipulation, storage, security, and performance optimization.
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
- 2–4 years of hands‑on experience in data engineering or a related role.
- At least 2 years of experience with Python.
- At least 2 years of experience working with cloud platforms, particularly Azure.
- At least 2 years of experience with data engineering fundamentals, including:
- SQL
- ETL processes
- Data pipeline design and maintenance
- Experience working with database technologies and data storage systems.
- Knowledge of at least one scripting or programming language (Python preferred; C# a plus).
- Strong troubleshooting, analytical, and problem‑solving skills.
- Strong written and verbal communication skills.
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