Sr Java/AWS Engineer at Fannie Mae summary: A Sr Java/AWS Engineer at Fannie Mae designs, develops, and deploys Java-based microservices and integration solutions using modern technologies such as Spring Boot, Kafka, and AWS services. The role involves building and maintaining data infrastructure, managing AWS environments, and implementing CI/CD pipelines to support data engineering and business process automation. Collaboration across teams ensures compliance, governance, and optimized data-driven applications for affordable housing finance.

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 toaffordable 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 Sr Java/AWS Engineer 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: Design, develop, and deploy Java-based microservices using Spring Boot and RESTful APIs .

Architect and implement integration solutions using modern tech stacks including Kafka , Kinesis , and API Gateway .

Process and analyze structured and unstructured data using Spark , Amazon EMR , and PySpark .

Manage and monitor AWS infrastructure including EC2, ECS, Lambda, S3, RDS, DynamoDB, Glue ETL, Redshift, and CloudFormation.

Implement CI/CD pipelines using Jenkins , Terraform , Gradle/Maven , and GitLab/Bitbucket .

Collaborate cross-functionally to support change management , governance , and compliance initiatives.

Maintain and optimize operating systems , ensuring timely updates and patching.

Create and manage databases using Postgres , MongoDB , MySQL , and Hadoop .

Develop data visualizations and reports using Excel , Tableau , Power BI , Crystal Reports , and SSRS .

Apply automation technologies such as BPA and RPA to streamline business processes.

Lead project planning, resource management, and delivery tracking using Jira and Rally .

Minimum Required Experiences 2 years of Experience

Desired Experiences 5 years of Experience

Bachelor degree or equivalent

Skills

Strong fundamentals in Object-Oriented Programming and Core Java .

Proven experience with Spring (Core, Boot, Batch, Web) and Hibernate .

Hands-on expertise in AWS services , Docker , ECS , EKS , and Fargate .

Solid understanding of relational databases and SQL .

Experience with DevOps , Infrastructure as Code , and Auto Scaling .

Skilled in system analysis , error resolution , and process optimization .

Excellent communication and documentation skills, including technical writing and dashboard creation .

Experience with enterprise application integration tools such as xMatters , WebSphere , or AWS Application Integration .

Familiarity with data mining tools like Oracle Data Mining or Informatica .

Background in governance and compliance , including policy creation and internal investigations.

Enterprise Data - Data Engineering - Senior Associate

Target Salary Range: $121,000 to $158,000 a year

#LI-Hybrid

Qualifications

Education: Bachelor's Level Degree (Required)

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

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

Keywords: Java, AWS, Spring Boot, Microservices, Data Engineering, Kafka, CI/CD, DevOps, Cloud Infrastructure, ETL