Data Engineer (Fully Remote)

Rackner, Inc.; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

401(k) match

Comprehensive benefits

PTO & holidays

Home-office stipend

Remote work support

Wellness reimbursement

Job summary

Rackner is seeking a data engineer to develop and maintain data ingestion pipelines, transformations, and data quality in Microsoft Fabric. You will implement Bronze-Silver-Gold medallion layers for data domains and ensure robust data pipelines across enterprise source systems.

Applicants should have strong SQL, Python/PySpark experience, and hold an active Secret clearance. Rackner offers tech certifications, competitive benefits, generous PTO, remote work support, and a strong culture of

Qualifications

• Experience developing data pipelines, ETL/ELT processes, and data integrations.
• Strong SQL proficiency and experience with Python/PySpark for data engineering workloads.
• Active Secret clearance is required.
• Company-supported certifications aligned to program work, including cloud, Kubernetes, DevSecOps, security, and AI/ML.

Responsibilities

• Develop and maintain data ingestion pipelines, transformation logic, and data quality processes within Microsoft Fabric.
• Implement and maintain Bronze, Silver, and Gold medallion architecture layers for assigned data domains.
• Extract, transform, and load data from enterprise source systems including student information systems, HR, finance, logistics, and IT service management platforms.

Skills

SQL

Python

PySpark

Data pipelines

ETL/ELT

Data integration

Data quality

Data modeling

Tools

Kubernetes

Job description

• Develop and maintain data ingestion pipelines, transformation logic, and data quality processes within Microsoft Fabric.
• Implement and maintain Bronze, Silver, and Gold medallion architecture layers for assigned data domains.
• Extract, transform, and load data from enterprise source systems including student information systems, HR, finance, logistics, and IT service management platforms.

Qualifications:

• Experience developing data pipelines, ETL/ELT processes, and data integrations.
• Strong SQL proficiency and experience with Python/PySpark for data engineering workloads.
• Active Secret clearance is required.
• Company-supported certifications aligned to program work, including cloud, Kubernetes, DevSecOps, security, and AI/ML.
• 401(k) with 100% match up to 6%, comprehensive medical, dental, vision, life, and disability coverage.
• Generous PTO, paid holidays, home-office equipment plan, remote work support, fitness and wellness reimbursement.

Rackner

Rackner is a software consultancy that builds mission-critical systems for the U.S. government, focusing on cloud, DevSecOps, AI/ML, and modern software engineering. The company supports federal agencies and national security missions, with a culture of collaboration, growth, and technical excellence.