Sr. Software Engineer

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Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose‑driven innovation that expands access to home ownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.

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.

• 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.

• 2 years experience
• Experience developing and operating enterprise cloud‑native AWS data applications.
• Experience developing data engineering pipelines on AWS stack using Python.
• Deep technical knowledge of AWS services – EC2, EMR, Lambda, Step Functions, S3, SNS/SQL, Cloud Watch.
• End to End automation using AI agents
• Solid understanding of database technologies including Redshift and RDS with strong technical ability with complex SQL.
• Proficiency developing REST API integrations with SaaS applications.
• Experience with Dev Ops and CI/CD concepts and tools.
• Experience building E2E test automation with a focus on data validation.
• Demonstrated interest in adopting AI for software development via copilot, agents, etc. towards increasing efficiency and reducing “time‑to‑value”.
• Analytical and critical thinking skills to identify and resolve complex technical issues.
• Excellent communication skills with the ability to clearly articulate technical concepts to both technical and business stakeholders.
• Proven ability to work effectively in a team environment, fostering a collaborative culture.

• Bachelor degree or equivalent
• Experience with Financial Modeling and Forecasting ecosystems
• AWS Certifications – Solutions Architect, Developer, Data Engineer

$ – $ a year

Finance Technology – Software Engineering – Senior Associate

Education:

Bachelor’s Level Degree (Required)

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

For most roles, employees are expected to work onsite on a regular basis at their designated office location. In‑office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.

Fannie Mae is an equal‑opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company.

If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form.

The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee’s physical, mental, emotional, and financial well‑being.

See more here.

Requisition Compensation
121000
to
158000