Sr. Software Database Engineer

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. 

We are looking for a Sr. Software Database Engineer to join us as we build cutting-edge technology solutions!  This is your opportunity to be part of a team that is committed to delivering best-in-class service to our customers.  

Responsibilities: 

 In this role as a Software Database Engineer, you will determine system information requirements by analyzing data to support the development of enterprise-level or large-scale information systems.  The ideal candidate should have experience with AI tools and technologies, even though this role does not include building AI models. The primary focus is on data engineering and analysis rather than the architecture or design of AI systems.

• Meet with business stakeholders and requirements owners to gain a thorough understanding of their needs. Analyze existing data systems to identify relevant data structures and environments that align with those requirements.
• Ensures that the common operating environments are aligned with and meet the standards set for the agency's IT architecture. This includes verifying that the platform's implementation, integration with other systems, and external interfaces comply with the required technical standards and guidelines.
• Evaluates analytically and systematically problems of workflows, organization and planning and develops appropriate corrective action

Qualifications: 

• 10 Years of Experience in Data Analysis and Data Modelling and Data transformation.
• 5+ Years of experience with Data Lake experience and Data Lake architecture.
• 8+ Years of experience with broad technology delivery, including custom development using various development languages.
• 8+ years of experience in providing technical leadership, including mentoring teams on software design, development, and best practices for various frameworks. Proven ability to analyze different technical solutions and present clear recommendations to team leads and clients.
• 8+ years of experience in leading technical planning and implementing solutions for a small software portfolio. This includes authoring and overseeing the development of software designs, managing the evaluation and selection of vendors, and providing well-supported justifications for technical recommendations.
• Bachelor's degree in a technical field such as computer science, computer engineering or related field required. MBA or other related advanced degree preferred

Preferred Qualifications: 

• Experience and expertise with Microsoft Fabric 
• Experience working with AI tools and technologies

Salary Range 

Pay ranges vary based on multiple factors including, without limitation, skill sets, education, responsibilities, experience, and ge