Note: The job is a remote job and is open to candidates in USA. Blueprint is a technology solutions firm headquartered in Bellevue, Washington, focused on solving complex problems through technology. The Data Engineer / Analytics Engineer will support the collection, integration, and analysis of operational technology and infrastructure data, focusing on data extraction, transformation, and integration into enterprise analytics platforms.
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
Skills
- 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 work independently and collaboratively in a fast-paced environment
- Ability to manage multiple priorities and meet project deadlines
- Experience with modern cloud-based analytics and data engineering platforms, including: Azure Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Databricks
- Experience working with large-scale data environments and enterprise telemetry systems
- Experience supporting operational technology (OT), industrial control systems (ICS), building automation systems (BAS), building management systems (BMS), electrical power monitoring systems (EPMS), or similar environments
- Strong scripting experience, including PowerShell or comparable automation technologies
- Experience with cloud-based data integration, orchestration, and monitoring solutions
- Familiarity with compliance monitoring, configuration management, and change-tracking data use cases
- Experience implementing scalable data architectures and performance optimization techniques
Benefits
- Medical, dental, and vision coverage
- Flexible Spending Account
- 401k program
- Competitive PTO offerings
- Parental Leave
- Opportunities for professional growth and development
Company Overview
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