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Job Description
Senior Data Engineer — Microsoft Fabric
Location: Remote
Clearance: Active Secret required
Build and Modernize a Mission-Focused Data Platform
Help shape the data engineering foundation behind a major federal data modernization effort.
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 partnering across architecture, cybersecurity, governance, and application teams.
Rackner is building the broader data engineering team across multiple experience levels. 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 strengthen engineering practices across the program
What You’ll Bring
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
Standout Background
Additional value may come from:
Microsoft Certified: Fabric Analytics Engineer Associate
Advanced Fabric Lakehouse implementation
Fabric tenant, workspace, capacity, or deployment-pipeline administration
Microsoft Entra ID or Privileged Identity Management
Terraform, Bicep, ARM, or comparable infrastructure-as-code tooling
Hybrid cloud and on-premises integration
Enterprise data-quality monitoring
Disaster recovery and business-continuity engineering
Federal or Department of Defense data environments
Why Rackner
At Rackner, you’ll work on technology tied directly to complex federal missions while remaining close to the engineering.
This role gives you the opportunity to build rather than simply maintain, influence technical practices, work with modern Microsoft data technologies, and expand your leadership impact without moving away from hands-on engineering.
Our teams work across cloud, DevSecOps, AI/ML, data, and modern software engineering, giving engineers exposure to technical problems beyond a single platform or workstream.
Benefits & Perks
Company-supported certifications aligned with current and future program work
Career-development and leadership opportunities
401(k) with 100% match up to 6%
Medical, dental, vision, life, and disability coverage
Generous PTO and paid holidays
Home-office equipment and remote-work support
Fitness and wellness reimbursement
Weekly pay and team events
Equal Opportunity
Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.
Location: Remote
Clearance: Active Secret required
Build and Modernize a Mission-Focused Data Platform
Help shape the data engineering foundation behind a major federal data modernization effort.
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 partnering across architecture, cybersecurity, governance, and application teams.
Rackner is building the broader data engineering team across multiple experience levels. 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 strengthen engineering practices across the program
What You’ll Bring
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
Standout Background
Additional value may come from:
Microsoft Certified: Fabric Analytics Engineer Associate
Advanced Fabric Lakehouse implementation
Fabric tenant, workspace, capacity, or deployment-pipeline administration
Microsoft Entra ID or Privileged Identity Management
Terraform, Bicep, ARM, or comparable infrastructure-as-code tooling
Hybrid cloud and on-premises integration
Enterprise data-quality monitoring
Disaster recovery and business-continuity engineering
Federal or Department of Defense data environments
Why Rackner
At Rackner, you’ll work on technology tied directly to complex federal missions while remaining close to the engineering.
This role gives you the opportunity to build rather than simply maintain, influence technical practices, work with modern Microsoft data technologies, and expand your leadership impact without moving away from hands-on engineering.
Our teams work across cloud, DevSecOps, AI/ML, data, and modern software engineering, giving engineers exposure to technical problems beyond a single platform or workstream.
Benefits & Perks
Company-supported certifications aligned with current and future program work
Career-development and leadership opportunities
401(k) with 100% match up to 6%
Medical, dental, vision, life, and disability coverage
Generous PTO and paid holidays
Home-office equipment and remote-work support
Fitness and wellness reimbursement
Weekly pay and team events
Equal Opportunity
Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.
group id: 91109049
