Data Engineer - Data Analytics & Business Intelligence

Blueprint is a technology solutions firm headquartered in Bellevue, Washington, focused on leveraging technology to solve complex problems. The Data Engineer - Data Analytics & Business Intelligence will transform operational data into actionable insights, ensuring data quality and developing reporting solutions while working cross-functionally with various teams.

Responsibilities:

• Partner with engineering, operations, program management, and business stakeholders to understand objectives, define reporting requirements, and deliver analytics solutions that support informed decision-making
• Analyze large, complex datasets to identify trends, anomalies, performance gaps, risks, and opportunities for operational improvement
• Conduct data quality assessments, validation, and verification activities to ensure accuracy, completeness, consistency, and integrity across multiple data sources
• Design, implement, automate, and maintain scalable data collection, transformation, validation, and reporting processes
• Develop and maintain dashboards, KPI scorecards, reports, and self-service analytics solutions that provide visibility into operational performance, program health, technical metrics, and business outcomes
• Build data validation frameworks, monitoring processes, and quality controls to proactively identify and resolve data issues
• Collaborate with technical teams to enhance data models, reporting structures, metadata management practices, and overall data governance initiatives
• Translate complex technical findings into clear, concise, and actionable recommendations for both technical and executive audiences
• Drive process improvements through automation, standardization, and implementation of scalable analytics and reporting solutions
• Support root cause investigations by leveraging data to identify drivers of operational issues, risks, and performance challenges
• Document methodologies, business requirements, reporting processes, and data quality standards to ensure consistency and scalability

Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Data Analytics, or a related technical field
• 5–7 years of professional experience in data analytics, business intelligence, reporting, data quality management, or a related discipline
• 4+ years of experience conducting data quality validation and verification to ensure data accuracy, completeness, and consistency across multiple systems and sources
• 4+ years of experience analyzing large datasets to identify trends, anomalies, risks, gaps, and opportunities for improvement
• 3+ years of experience developing dashboards, reports, and visualizations using Power BI, Tableau, or similar business intelligence platforms
• Experience designing and implementing data quality monitoring, validation, and governance processes
• Experience automating manual workflows using scripting, workflow automation, or data integration technologies
• Strong analytical, troubleshooting, problem-solving, and investigative skills
• Excellent written and verbal communication skills with the ability to present complex findings to both technical and non-technical audiences
• Demonstrated success delivering scalable solutions that improve operational visibility, efficiency, and data reliability
• Experience working with telemetry, operational, engineering, IoT, industrial controls, critical infrastructure, or comparable technical data environments
• Experience implementing automated data validation, exception management, and monitoring processes
• Experience developing executive-level dashboards, KPI scorecards, and performance reporting frameworks
• Experience supporting mission-critical operational environments where data quality and reliability are essential
• Familiarity with data governance, metadata management, and enterprise reporting best practices
• Experience partnering with cross-functional technical and business teams to drive data-informed decision-making