Senior Data Engineer - AWS - Remote

Overview

As a Senior Data Engineer at Fannie Mae, you will develop data infrastructure and pipelines to ensure data is accessible and usable, contributing to affordable housing finance.

In Short

• Develop data infrastructure and pipelines.
• Identify customer needs for data requirements.
• Maintain knowledge of database technologies and coding languages.
• Support data integration and governance.
• Analyze new data sources and monitor performance.
• Deliver user interfaces for data analysis.
• Work independently and as part of an agile team.
• Utilize AWS services for data engineering.
• Communicate effectively with team members.
• Participate in a collaborative team environment.

Requirements

• 2+ years with Big Data technologies (Hadoop, Spark).
• 2+ years of experience in AWS applications.
• Proficiency in Python, SQL, and SparkSQL.
• Strong problem-solving skills.
• Ability to work in an agile team environment.
• Bachelor's degree or equivalent experience.
• Familiarity with machine learning and data modeling.
• Experience with data analysis and database management.
• Excellent communication skills.
• Knowledge of AWS Analytics and Database products.

Benefits

• Comprehensive health and life benefits.
• Flexible work environment.
• Participation in incentive programs.
• Support for physical and mental well-being.
• Opportunities for career growth and development.
• Inclusive work culture.
• Access to innovative products and services.
• Various perks enhancing employee well-being.
• Commitment to diversity and equal opportunity.
• Reasonable accommodations for applicants with disabilities.