Lead Aws Data Engineer

FANNIE MAE

Multiple Locations
$141,000.00 - $184,000.00 a year py
Fully remote
Aws data lake architectures
Pyspark-based data processing
Large-scale data pipelines
Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance

Job Summary

  • Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance.
  • The Lead AWS Data Engineer role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities.
  • As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being.

Matching Summary

Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance.

Salary

$141,000.00 - $184,000.00 a year

Skills & Requirements

Must-have

  • AWS Data Lake architectures
  • PySpark-based data processing
  • large-scale data pipelines
  • EMR cluster performance tuning
  • data mapping across systems
  • AWS data services expertise

Nice-to-have

  • Generative AI concepts exposure
  • stakeholder collaboration skills
  • technical leadership experience
  • data quality checks implementation

Key Requirements

  • 4+ years of experience in Data Engineering
  • 4+ years of hands-on AWS data services
  • Bachelor degree or equivalent
  • 10+ years of experience (desired)
  • 5+ years of hands-on AWS data services (desired)
  • AWS Certification preferred

Work Rights

Not specified

Tailored Resume

Cover Letter