Fannie Mae
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
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