Wait, What Do You Do?

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.  <div> <h2>In This Role</h2> As a Data Analytics & Business Intelligence professional, you will play a key role in transforming complex operational and technical data into trusted, actionable insights that drive performance, improve decision-making, and enhance organizational efficiency. Working cross-functionally with engineering, operations, program management, and business stakeholders, you will be responsible for ensuring data quality and integrity, developing scalable reporting solutions, automating manual processes, and creating dashboards that provide visibility into critical business and operational outcomes. This role is ideal for someone who enjoys solving data challenges, identifying trends and opportunities, and leveraging analytics to support continuous improvement in a fast-paced, mission-critical environment. <h2>Responsibilities</h2> <ul> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Partner with engineering, operations, program management, and business stakeholders to understand objectives, define reporting requirements, and deliver analytics solutions that support informed decision-making.</li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Analyze large, complex datasets to identify trends, anomalies, performance gaps, risks, and opportunities for operational improvement.</li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Conduct data quality assessments, validation, and verification activities to ensure accuracy, completeness, consistency, and integrity across multiple data sources.</li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Design, implement, automate, and maintain scalable data collection, transformation, validation, and reporting processes.</li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">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.</li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Build data validation frameworks, monitoring processes, and quality controls to proactively identify and resolve data issues.</li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Collaborate with technical teams to enhance data models, reporting structures, metadata management practices, and overall data governance initiatives.</li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Translate complex technical findings into clear, concise, and actionable recommendations for both technical and executive audiences.</li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Drive process improvements through automation, standardization, and implementation of scalable analytics and reporting solutions.</li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Support root cause investigations by leveraging data to identify drivers of operational issues, risks, and performance challenges.</li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Document methodologies, business requirements, reporting processes, and data quality standards to ensure consistency and scalability.</li> </ul> <h2>Required Qualifications</h2> <ul> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Data Analytics, or a related technical field.</li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">5–7 years of professional experience in data analytics, business intelligence, reporting, data quality management, or a related discipline.</li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">4+ years of experience conducting data quality validation and verification to ensure data accuracy, completeness, and consistency across multiple systems and sources.</li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">4+ years of experience analyzing large datasets to identify trends, anomalies, risks, gaps, and opportunities for improvement.</li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">3+ years of experience developing dashboards, reports, and visualizations using Power BI, Tableau, or similar business intelligence platforms.</li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Experience designing and implementing data quality monitoring, validation, and governance processes.</li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Experience automating manual workflows using scripting, workflow automation, or data integration technologies.</li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Strong analytical, troubleshooting, problem-solving, and investigative skills.</li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Excellent written and verbal communication skills with the ability to present complex findings to both technical and non-technical audiences.</li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Demonstrated success delivering scalable solutions that improve operational visibility, efficiency, and data reliability.</li> </ul> <h2>Preferred Qualifications</h2> <ul> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Experience working with telemetry, operational, engineering, IoT, industrial controls, critical infrastructure, or comparable technical data environments.</li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Experience implementing automated data validation, exception management, and monitoring processes.</li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Experience developing executive-level dashboards, KPI scorecards, and performance reporting frameworks.</li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Experience supporting mission-critical operational environments where data quality and reliability are essential.</li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Familiarity with data governance, metadata management, and enterprise reporting best practices.</li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Experience partnering with cross-functional technical and business teams to drive data-informed decision-making.</li> </ul> </div> Salary Range  At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market. For candidates based in Washington State, the anticipated salary range is $135,000– $145,000 USD/Annually.  Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate’s qualifications and could fall outside the stated range. Equal Opportunity Employer  Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law.  If you need assistance or a reasonable accommodation to complete the application process, please reach out to: <a href="mailto:recruiting@bpcs.com">recruiting@bpcs.com</a>  Blueprint believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes:  <ul> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Medical, dental, and vision coverage </li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Flexible Spending Account </li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">401k program </li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Competitive PTO offerings </li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Parental Leave </li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Opportunities for professional growth and development </li> </ul> Location:  Remote

AI Data Engineer