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Sr. Software Engineer - Enterprise Data

Fannie Mae
United StatesRemotefull_timeVerifiedPosted 30 Jun 2025
💰 $158,000/yr($121,000/yr$158,000/yr)

About the role

At Fannie Mae, the inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to impact the future of the housing industry while being part of a collaborative team thriving in an energizing environment. Here, you will grow your career and help create access to affordable housing finance.

Job Description

As a valued colleague on our team, you will collaborate with team in designing, producing, testing, or implementing moderately complex software, technology, or processes, as well as create and maintain IT architecture, large scale data stores, and cloud-based systems.

THE IMPACT YOU WILL MAKE


The Sr. Software Engineer - Enterprise Data 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:

  • Independently determine the needs of the customer and create solution frameworks.

  • Design and develop moderately complex software solutions to meet needs.

  • Use a process-driven approach in designing and developing solutions.

  • Implement new software technology and coordinate end-to-end tasks across the team.

  • May maintain or oversee the maintenance of existing software.

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

  • 2+ years with Big Data Hadoop cluster (HDFS,  Hive, MapReduce frameworks), Spark, AWS EMR, ECS

  • 2+ years recent experience building and deploying applications in AWS (S3, Hive, Glue, AWS Batch, Dynamo DB, Redshift, AWS EMR,  Cloudwatch, RDS, Lambda, SNS, SWS etc.)

  • 2+ years Python, SQL, SparkSQL, PySpark


Desired Experiences

  • Bachelor degree or equivalent

  • 4+ years experience with Big Data Hadoop clusters, AWS, and Python

  • Knowledge of Spark streaming technologies 

  • Experience in working with agile development teams

  • Familiarity with Hadoop / Spark information architecture, Data Modeling, Machine Learning (ML)

  • Knowledge of Environmental, Social, and Corporate Governance (ESG)

Skills

  • Skilled in cloud technologies and cloud computing

  • Programming including coding, debugging, and using relevant programming languages

  • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data

  • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB

  • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica

  • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere

  • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal

  • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc.

  • Excellent problem-solving skills and strong verbal & written communication skills

  • Ability to work independently as well as part of an agile team (Scrum / Kanban)

Tools

  • Skilled in AWS Analytics such as Athena, EMR, or Glue

  • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora

  • Skilled in SQL

  • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS

  • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms

  • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager

  • Skilled in Python object-oriented programming

Enterprise Data – Software Engineering – Senior Associate

Target Pay Range: $121,000 - 158,000 a year

Qualifications

Education:

Bachelor's Level Degree (Required)

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

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Company

Fannie Mae

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