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Senior Data Engineer - Enterprise Data

Fannie Mae
United Statesfull_timeVerifiedPosted 26 Sept 2023

About the role

Company Description


At Fannie Mae, futures are made. The inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to use tech to tackle housing’s biggest challenges and impact the future of the industry. You’ll be a part of an expert team thriving in an energizing, flexible environment. Here, you will grow your career and help create access to fair, affordable housing finance.
 

Job Description

As a valued colleague on our team, you will contribute to developing data infrastructure and pipelines to capture, integrate, organize, and centralize data while testing and ensuring the data is readily accessible and in a usable state, including quality assurance.

 

THE IMPACT YOU WILL MAKE

The Enterprise Data - Data Engineering - Senior Associate 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:

  • Identify customer needs and intended use of requested data in the development of database requirements and support the planning and engineering of enterprise databases.
  • Maintain comprehensive knowledge of database technologies, complex coding languages, and computer system skills.
  • Analyze new data sources and monitor the performance, scalability, and security of data.
  • Collaborate with developers and project managers to understand integration requirements.
  • Assist in designing and implementing API Integrations between different software systems in Modeling applications.
  • Write and maintain API Documentation for internal and external stakeholders.
  • Troubleshoot and debug integration issues, identifying and resolving technical obstacles.
  • Stay up to date with industry trends and best practices in API Integration.

 

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

  • At least 2 years of relevant Data Engineering and insight experience
  • At least 2 years of experience in APIs, RESTful services and webhooks.
  • Skilled in Python object-oriented programming and apply data manipulation tools.
  • Experience with Relational database services like RDS, AWS Aurora
  • Good communication skills and ability to work in a team environment.
  • Willingness to learn and adapt to new technologies.
  • Experience with AWS (S3, Redshift, Athena, Glue, EC2, Lambda, and ECS Services & Tasks)
  • Determining causes of operating errors and taking corrective action
  • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data.
  • Experience helping an organization to plan and manage change in effort to meet strategic objectives.

Desired Experiences

  • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal.
  • The group of skills related to Product Testing including testing and evaluating software, usability testing, UAT, and using relevant product testing technology.
  • The group of skills related to Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc.
  • Knowledge of using GraphQL to define an API schema for consumers to perform CRUD operations based on user permissions.
  • Ability to frame ideas as systems and analyzing the inputs, outputs, and process.
  • Skilled in XML, JSON
  • Bachelor’s degree or equivalent
  • 4+ years of experience
  • AWS Certifications

 

 

#LI-Hybrid

 

 

 

Additional Information

The future is what you make it to be. Discover compelling opportunities at careers.fanniemae.com.

Fannie Mae is primarily a hybrid company.  We embrace flexibility for our employees while providing office space for in-person work and collaboration.  This role is classified as Hybrid. If you speak with a Recruiter, they will provide you with more information about the definition of this classification.

Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at careers_mailbox@fanniemae.com.

The hiring range for this role is set forth on each of our job postings located on Fan

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Company

Fannie Mae

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