Senior Data Engineer — Microsoft Fabric (Remote, Secret Clearance)

Engg

United States

Remote

USD 110,000 - 130,000

Full time

14 days+
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Benefits offered by this job

Company-supported certifications
401(k) with 100% match
Generous PTO
Remote work support
Fitness reimbursement

Job summary

Rackner is seeking a Senior Data Engineer to lead hands-on implementation within Microsoft Fabric for a major federal data modernization effort. This role offers the opportunity to influence the technical practices while being involved in building the data platform.

The ideal candidate should have strong skills in enterprise data pipelines, modern ETL/ELT patterns, and active Secret clearance. Benefits include career development, 401(k) matching, and remote work support.

Qualifications

  • Deep hands-on work with enterprise data pipelines and modern ETL/ELT patterns.
  • Strong Microsoft Fabric capabilities required.
  • Advanced SQL skills with working proficiency in Python, Spark, or PySpark preferred.
  • Familiarity with Azure Data Factory or similar technologies is necessary.
  • Practical knowledge of medallion or modern Lakehouse architecture is a plus.
  • Must have active Secret clearance.

Responsibilities

  • Lead design and optimization of enterprise data pipelines.
  • Build scalable ETL/ELT solutions across structured and semi-structured data.
  • Implement medallion architecture including Bronze, Silver, and Gold layers.
  • Establish automated validation and monitoring processes.
  • Mentor data engineers to improve engineering standards.

Skills

Enterprise data pipelines
Microsoft Fabric
SQL
Python
Spark
ETL/ELT patterns
CI/CD
Infrastructure-as-code
Cloud integration
Data quality
Security practices
Mentoring

Tools

Azure Data Factory
Terraform
Bicep
ARM

Job description

Rackner is seeking a Senior Data Engineer to lead hands-on implementation within Microsoft Fabric for a major federal data modernization effort. This role offers the opportunity to influence the technical practices while being involved in building the data platform.

The ideal candidate should have strong skills in enterprise data pipelines, modern ETL/ELT patterns, and active Secret clearance. Benefits include career development, 401(k) matching, and remote work support.

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