Gaming Data 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.

In This Role

We are seeking a Data Engineer / Analytics Engineer to support the collection, integration, and analysis of operational technology (OT) and infrastructure data across large-scale, mission-critical facilities. This role will focus on extracting data from building management, automation, monitoring, and other vendor platforms, transforming and normalizing data into standardized schemas, and integrating it into enterprise analytics and telemetry platforms. The ideal candidate will have strong experience with ETL processes, data engineering, Kusto, SQL, Microsoft analytics technologies, and automation tools, with the ability to develop scalable data pipelines, troubleshoot data collection challenges, and collaborate with cross-functional stakeholders to improve data visibility, compliance tracking, and operational reporting.

Responsibilities

Design, develop, and maintain data architectures and schemas to support data ingestion from multiple operational and infrastructure systems.

Develop and maintain automated ETL/ELT processes for extracting, transforming, and loading data from diverse data sources.

Build and support API integrations, database queries, scripting solutions, and file-parsing methods to acquire device inventory and configuration-state data.

Normalize and standardize data across various platforms and vendor applications into a common data model.

Integrate data into enterprise telemetry, monitoring, reporting, and analytics platforms.

Design and optimize data pipelines to support compliance monitoring, change tracking, and operational analytics.

Implement and maintain moderately complex logical and physical database designs.

Create and maintain dashboards, reports, and data visualizations using real-world operational datasets.

Troubleshoot and resolve production data collection, integration, and quality issues.

Develop technical documentation, data schemas, interface specifications, and telemetry requirements.

Collaborate with internal stakeholders, subject matter experts, and external vendors to gather requirements and support project delivery.

Participate in project planning, design discussions, and weekly status reviews to track progress, risks, and blockers.

Support ongoing enhancements as new systems, applications, and data requirements are introduced.

Required Qualifications

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field.

3–5 years of experience in Data Engineering, Analytics Engineering, Business Intelligence, or a related field.

3+ years of experience with Microsoft analytics and data platform technologies.

Strong experience with:

Kusto Query Language (KQL)

Microsoft SQL Server / SQL development

ETL/ELT processes and data pipeline development

Power Apps and/or Power Automate

Experience with data extraction, transformation, and integration from multiple source systems.

Strong understanding of relational database concepts, data modeling, and database design.

Experience building and supporting automated data flows and telemetry pipelines.

Experience developing moderately complex data visualizations and reporting solutions.

Experience working with APIs, scripting, database queries, and structured data formats.

Strong problem-solving, troubleshooting, and analytical skills.

Excellent communication skills with the ability to wo…