Senior Data Engineer: Build Scalable Data Pipelines

Rackner, Inc.; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

401(k) match

Generous PTO

Job summary

Rackner is a software consultancy building mission-critical systems for the U.S. government.

We are seeking a senior data engineering professional to lead the design and optimization of enterprise data pipelines and platform components using Microsoft Fabric and modern data tooling. The role focuses on implementing medallion architectures, ETL/ELT processes, and data quality controls while ensuring security and governance across cloud environments.

Qualifications

• Experience with cloud-based data platforms and ETL/ELT frameworks.
• Proficiency in SQL, Spark, and PySpark for large-scale data processing.
• Familiarity with CI/CD pipelines, infrastructure-as-code, and cloud security principles.

Responsibilities

• Lead the design, development, and optimization of enterprise data pipelines and platform components.
• Implement and maintain medallion architectures, ETL/ELT processes, and data quality controls.
• Configure and administer Microsoft Fabric environments, including security and governance.

Skills

Cloud-based data platforms

ETL/ELT frameworks

SQL

Spark

PySpark

CI/CD

Infrastructure as Code

Cloud security

Tools

Microsoft Fabric

CI/CD pipelines

Terraform / IaC

Job description

Rackner is a software consultancy building mission-critical systems for the U.S. government.

We are seeking a senior data engineering professional to lead the design and optimization of enterprise data pipelines and platform components using Microsoft Fabric and modern data tooling. The role focuses on implementing medallion architectures, ETL/ELT processes, and data quality controls while ensuring security and governance across cloud environments.