Gaming Data Engineer

Blueprint

Data Engineer / Analytics Engineer at Blueprint analyzing operational technology data. Designing pipelines, collaborating with stakeholders, and improving data visibility and reporting.

Posted 7/7/2026full-timeRemote • Washington • 🇺🇸 United StatesMid-LevelSenior💰 $31 - $35 per hourWebsite

Tech Stack

Tools & technologies

ETLMS SQL ServerSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Medical, dental, and vision coverage
Flexible Spending Account
401k program
Competitive PTO offerings
Parental Leave
Opportunities for professional growth and development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data ArchitectureData IngestionAPI IntegrationDatabase QueriesData NormalizationData Pipeline DevelopmentData ModelingTelemetry RequirementsAutomated Data FlowsData Quality Troubleshooting

Soft Skills

Problem-SolvingAnalytical SkillsCommunication SkillsCollaborationTime Management