Senior Data Engineer

Senior Data Engineer

Location: Remote

Clearance Level: Active Secret

Overview

Rackner is seeking a Senior Data Engineer to lead the design, development, optimization, and operation of enterprise data pipelines and data platform components within the Microsoft Fabric environment.

The Senior Data Engineer will provide hands-on technical leadership across data ingestion, transformation, platform administration, security, automation, and deployment activities. This role will be responsible for implementing scalable medallion architectures, establishing reliable development and deployment practices, and ensuring data platforms meet security, availability, performance, and data quality requirements.

The Senior Data Engineer will also mentor Data Engineers and Associate Data Engineers, provide technical problem-solving support, and help establish engineering standards and best practices across data workstreams.

Responsibilities

Lead the design, development, and optimization of enterprise data ingestion pipelines, transformation logic, and data platform components within Microsoft Fabric

Design and implement scalable ETL and ELT architectures supporting structured and semi-structured enterprise data

Configure, administer, and maintain Microsoft Fabric environments, including:

Tenant administration

Workspace architecture

Capacity management

Security configuration

Environment governance

Implement and maintain Bronze, Silver, and Gold medallion architecture layers

Develop data transformation processes incorporating schema validation, cleansing, normalization, enrichment, and reconciliation

Establish data quality monitoring, validation controls, automated testing, and alerting for pipeline and data-quality failures

Design and implement development, test, staging, and production environment separation

Build and maintain CI/CD deployment pipelines for data platform components, pipelines, notebooks, configurations, and related artifacts

Implement infrastructure-as-code approaches for repeatable, version-controlled data platform deployments

Develop and optimize Spark, PySpark, SQL, and related data-processing workloads

Configure and maintain data security controls, including:

Encryption

Role-Based Access Control (RBAC)

Microsoft Entra ID integration

Privileged Identity Management

Least-privilege access controls

Support secure integration between Microsoft Fabric and enterprise source systems

Design and support hybrid connectivity between on-premises and cloud environments

Troubleshoot complex pipeline, platform, performance, connectivity, and data-quality issues

Optimize pipelines and data workloads for performance, scalability, reliability, and cost

Support disaster recovery and business continuity planning for data platforms and pipelines

Develop, document, and execute rollback, recovery, and restoration procedures

Conduct recovery and rollback testing to validate continuity procedures

Establish reusable engineering patterns, standards, and technical documentation for data platform implementation

Collaborate with Data Architects, Data Governance Specialists, cybersecurity teams, application teams, and source-system owners to define technical solutions

Participate in architecture reviews and provide technical recommendations for data platform modernization and integration efforts

Mentor mid-level and Associate Data Engineers

Review technical implementations and provide guidance on pipeline design, code quality, performance, security, and maintainability

Provide senior-level technical problem-solving support for complex data engineering challenges

Support knowledge transfer and operational transition of implemented data platform capabilities

Qualifications

Significant experience designing and implementing enterprise data pipelines, ETL/ELT processes, and cloud-based data platforms

Hands-on experience with Microsoft Fabric

Experience administering or configuring enterprise cloud data environments

Strong experience with Azure Data Factory or comparable data integration technologies

Strong SQL proficiency

Experience with Spark and PySpark for large-scale data processing and transformation

Experience implementing enterprise ETL/ELT frameworks

Experience designing and implementing medallion architectures using Bronze, Silver, and Gold data layers

Experience with schema validation, data cleansing, normalization, reconciliation, and data quality controls

Experience developing CI/CD pipelines for data platform deployments

Experience implementing infrastructure-as-code

Experience with source control, automated deployment, and environment promotion processes

Understanding of cloud security principles, including RBAC, identity integration, encryption, and least-privilege access

Experience troubleshooting complex data pipeline, platform, and integration issues

Experience supporting production data environments with availability, reliability, and performance requirements

Strong technical documentation and communication skills

Experience mentoring or providing technical leadership to other engineers

Active Secret clearance

Preferred Qualifications

Microsoft Certified: Fabric Analytics Engineer Associate

Advanced experience with Microsoft Fabric Lakehouse architecture

Experience configuring Microsoft Fabric tenants, capacities, workspaces, and deployment pipelines

Experience with Microsoft Entra ID and Privileged Identity Management

Experience with Azure DevOps, GitHub Actions, GitLab CI/CD, or comparable CI/CD platforms

Experience with Terraform, Bicep, ARM templates, or comparable infrastructure-as-code technologies

Experience designing automated data quality monitoring and alerting

Experience supporting hybrid on-premises and cloud data environments

Experience implementing disaster recovery, rollback, and business continuity procedures for enterprise data platforms

Experience with enterprise data governance, metadata management, lineage, and security controls

Experience working within Department of Defense or other federal data environments

About Rackner

Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions. Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges.

Benefits & Perks

At Rackner , we believe that when our people grow, our company grows with them, and we are committed to supporting their growth, development and success. We are proud to offer a creative and forward-thinking environment that includes:

• Company-supported certifications aligned to current and future program work,

including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and

related technical areas

• Clear advancement tracks and future leadership opportunities
• 401(k) with 100% match up to 6%
• Comprehensive medical, dental, vision, life, and disability coverage
• Generous PTO and paid holidays
• Home-office equipment plan and remote work support
• Fitness and wellness reimbursement
• Weekly pay schedule and modern perks, including 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.

Originally posted on Himalayas