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# Data Engineer - Microsoft Fabric

- **Company:** Rackner, Inc.
- **Location:** Colorado Springs, CO, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Access, Artificial Intelligence, Microsoft Azure, Cloud Computing, Cloud Database, Cyber Security, Databases, Continuous Delivery, Continuous Integration, Data Architecture, Information Engineering, Extract Transform Load (ETL), Disaster Recovery, Identity and Access Management, Internet Security, Python (Programming Language), Microsoft Software, Systems Development Life Cycle, Role-Based Access Control, Azure Active Directory, Cloud Services, Reduced Instruction Set Computing, Software Engineering, SQL Databases, Systems Integration, Enterprise Data Management, Scripting, Azure Data Factory, Sql Optimization, Apache Spark, HybridCloud, SC Clearance, Microsoft Fabric, Pyspark, Semi-structured Data, Infrastructure Automation Frameworks, Deployment Automation, Enterprise Integration, Data Management
- **Published:** September 22, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-engineer-microsoft-fabric-active-secret-colorado-springs-co--2956ffd6-c73c-4ff4-bdec-43c02b47bf16

## About the Role

* Deep hands-on work with enterprise data pipelines and modern ETL/ELT patterns
 * Strong Microsoft Fabric capabilities
 * Advanced SQL skills and working proficiency with Python, Spark, or PySpark
 * Familiarity with Azure Data Factory or comparable cloud data-integration technologies
 * Practical knowledge of medallion or modern Lakehouse architecture
 * CI/CD and automated deployment knowledge within a data-platform environment
 * Infrastructure-as-code knowledge
 * Production troubleshooting across pipelines, integrations, or cloud data platforms
 * Understanding of cloud identity, RBAC, encryption, and least-privilege security
 * Ability to communicate technical decisions clearly and guide other engineers
 * Active Secret clearance, ARM (Advanced RISC Machine), Artificial Intelligence (AI), Automation, Cloud Computing, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Cryptography, Data Management, Data Quality, Database Extract Transform and Load (ETL), Disaster Recovery, Fitness, Hybrid Cloud, Identify Issues, Identity Data Management, Internet Security, Leadership, Machine Tool, Mentoring, Microsoft Access Database, Microsoft Product Family, Microsoft Windows Azure, Office Equipment, Problem Solving Skills, Python Programming/Scripting Language, Quality Monitoring, Reconciliation, Reimbursement, SQL (Structured Query Language), Scalable System Development, Secret Clearance, Software Engineering, Structured Data, Technical Writing

## Description

As a Senior Data Engineer at Rackner, you'll lead hands-on implementation across Microsoft Fabric, enterprise data pipelines, medallion architecture, automation, security, and deployment. You'll have room to influence how the platform is built and operated; not simply maintain existing pipelines.

This is a strong fit for an engineer who wants to stay hands-on while taking on broader technical ownership: solving difficult platform problems, establishing reusable engineering practices, mentoring other engineers, and working across architecture, cybersecurity, governance, and application teams.

Rackner is building the broader data engineering team across multiple experience levels, so strong candidates may also be considered for the level that best matches their background.
What You'll Lead and Build

 * Lead the design and optimization of enterprise data pipelines and transformation workflows in Microsoft Fabric
 * Build scalable ETL/ELT solutions across structured and semi-structured data
 * Configure and support Fabric tenants, workspaces, capacity, security, and environment separation
 * Implement Bronze, Silver, and Gold medallion architecture patterns
 * Develop transformation and data-quality processes using SQL, Python, Spark, and PySpark
 * Establish automated validation, reconciliation, monitoring, and alerting
 * Build CI/CD and infrastructure-as-code practices for repeatable data-platform deployments
 * Apply security controls including encryption, RBAC, Microsoft Entra ID, and least-privilege access
 * Support secure integration across cloud and on-premises enterprise systems
 * Solve complex pipeline, performance, connectivity, and data-quality problems
 * Strengthen resilience through rollback, recovery, disaster-recovery, and continuity practices
 * Create reusable engineering patterns and technical documentation that improve how the broader team works
 * Partner with data architects, governance, cybersecurity, application, and source-system teams
 * Mentor Data Engineers and Associate Data Engineers and help raise engineering standards across the program


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