Fannie Mae

Enterprise Analytics and Modeling - Software Engineer

Fannie Mae

Washington, DC, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

At Fannie Mae, we are looking for an experienced Enterprise Analytics and Modeling Software Engineer whose expertise will help drive our data-driven decision-making capabilities. We are seeking a driven, motivated professional with a passion for technology, data, and analytics. The ideal candidate should have a strong technical background in developing applications using enterprise analytics and modeling software, as well as a good understanding of the software development life cycle. They should possess excellent problem-solving and communication skills, the ability to work independently and collaboratively in a fast-paced environment, and the ability to manage multiple projects and competing priorities. We require a Bachelor’s degree in computer science, software engineering, or a related field; a minimum of 3 years of experience with enterprise analytics and modeling software; and experience with developing applications. Proficiency in programming languages such as Python, Java, JavaScript, and R is highly desired. If you are seeking an opportunity to drive data-driven decision-making and join a dynamic team that values collaboration, then this is the job for you!

Responsibilities:

  1. Develop applications using enterprise analytics and modeling software.
  2. Manage multiple projects and competing priorities.
  3. Collaborate with a dynamic team to drive data-driven decision-making.
  4. Troubleshoot and solve technical issues.
  5. Adhere to the software development life cycle.
  6. Utilize programming languages such as Python, Java, JavaScript, and R.
  7. Monitor and maintain enterprise analytics and modeling software.
  8. Demonstrate excellent problem-solving, communication, and organizational skills.
  9. Implement innovative solutions to enhance functionality and performance.
  10. Utilize a data-driven approach to identify trends and opportunities for improvement.
Where is this job?
This job is located at Washington, DC, USA
Job Qualifications
  • Engineering

  • Etc)

  • Or A Related Field

  • Mathematics

  • Python

  • Bachelor’s Degree In Computer Science

  • + Years Of Experience In Software Engineering

  • Proven Experience In Developing And Deploying Enterprise-Level Analytics And Modeling Solutions

  • Proficiency In At Least One Programming Language (E.g. Java

  • R

  • Experience With Databases

  • Data Warehouses

  • And Big Data Platforms

  • Familiarity With Cloud

Required Skills
  • Sql

  • Python

  • Business Intelligence

  • Data Analysis

  • Algorithms

  • Big Data

  • ETL

  • R

  • Machine Learning

  • AWS

  • Data Visualization

  • Data science

  • Database design

  • Statistics

  • Data Modelling

Soft Skills
  • Communication

  • Conflict Resolution

  • Negotiation

  • Problem Solving

  • Time management

  • Interpersonal Skills

  • flexibility

  • Critical thinking

  • Teamwork

  • Adaptability

Compensation

According to JobzMall, the average salary range for a Enterprise Analytics and Modeling - Software Engineer in Washington, DC, USA is

$83,742 - $133,204.

Additional Information
Fannie Mae is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedAugust 21st, 2023
Apply BeforeJuly 20th, 2025
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About Fannie Mae

The Federal National Mortgage Association, commonly known as Fannie Mae, is a United States government-sponsored enterprise and, since 1968, a publicly traded company. It engages in the provision of access to affordable mortgage credit and indirectly enables families to buy, refinance or rent homes. It operates through the following segments: Single-Family Credit Guaranty, Multifamily, and Capital Markets.

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