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FANNIE MAE Senior Data Engineer (Hybrid) in Reston, Virginia

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 Corporate Functions Technology - Software 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:

  • 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 Skills:

  • 2 years of relevant Data Engineering and insight experience

  • Python with very strong AWS experience in delivering Python based solutions

  • Skilled in SQL and experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data

  • Experience with building and deploying applications in AWS using services like (S3,Glue,Redshift,RDS,AWS EMR, Cloudwatch, Lambda, State Machine, SNS, SQS, ECS Fargate, AppFlow, etc.)

  • 2 years of experience in APIs, RESTful services.

  • Skilled in cloud technologies and cloud computing

  • Strong experience building CI/CD pipelines on AWS (CloudFormation and Gitlab)

  • Good communication skills and ability to work in a team environment.

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

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

Desired Skills:

  • Knowledge on Informatica Power center ETL tool or any other ETL tools and spark SQL

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.

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