Data Engineer

About Blueprint

Blueprint is a technology solutions firm headquartered in Bellevue, Washington, with teams across the United States. We help organizations turn complex challenges into meaningful outcomes by connecting strategy and execution across AI, cloud, data, product development, and emerging technology.

Our culture is built by people who care deeply about doing exceptional work. We set high standards, take ownership, and continually challenge ourselves and one another to be better. We work hard, support each other, and take genuine pride in what we deliver for our clients, partners, and teams.

At Blueprint, you’ll work alongside talented people with different experiences, expertise, and perspectives. You’ll have opportunities to take on meaningful challenges, expand your skills, and see the impact of what you build.

Bring your perspective. Raise the standard. Build what matters.

In This Role

You will design, develop, and maintain data-intensive systems that support complex data migration, data engineering, and data architecture initiatives. You will focus on building reliable data solutions, improving data quality, and ensuring the accuracy and consistency of data across systems. Using Python, SQL, and Apache Spark, you will develop data processing workflows, perform data validation and reconciliation, troubleshoot technical issues, and support the delivery of high-quality data products. Your work will contribute to efforts addressing cybercrime and supporting lawful access requests through secure, reliable, and well-engineered data systems.

Responsibilities

• Design, develop, and maintain scalable data engineering solutions to support data migration, processing, and integration initiatives.
• Build and optimize data pipelines and processing workflows using Python, SQL, and Apache Spark.
• Perform data quality assessments, validation, reconciliation, and comparisons to ensure data accuracy, completeness, consistency, and integrity.
• Analyze business and system requirements and translate them into technical specifications and reliable data solutions.
• Develop, test, and maintain data transformation logic and software components to support new and existing systems.
• Troubleshoot complex data processing issues, investigate discrepancies, identify root causes, and implement corrective actions.
• Prepare technical documentation, test plans, and validation procedures for data migration and engineering projects.
• Conduct unit testing, integration testing, and quality assurance reviews to verify the accuracy and reliability of developed solutions.
• Support data migration activities, including data mapping, transformation, validation, and post-migration verification.
• Collaborate with engineering and cross-functional stakeholders to resolve technical challenges and deliver solutions within established timelines.