Reston, VA, USA
65 days ago
Enterprise Data - Software Engineering – Senior Associate

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 in our Chief Data Office team, you will contribute to developing Cloud data infrastructure and pipelines to solution, capture, integrate, organize, and centralize data while testing and ensuring the data is readily accessible and in a usable state, including quality assurance. In addition, you will help develop/implement new software on the Cloud, or to migrate existing processes on prem to the Cloud. 

THE IMPACT YOU WILL MAKE

The Sr. 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 and develop moderately complex software solutions to meet needs. 

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

Implement new software technology and participate in the end-to-end tasks across the team. 

Analyze new data sources and monitor the performance, scalability, and security of data. 

Independently and as part of a team, determine the needs of the customer and create solution frameworks. 

THE EXPERIENCE YOU BRING TO THE TEAM 
 
Minimum Required Experiences 

2 years 

Desired Experiences 

Bachelor degree in computer science or equivalent 

AWS and/or CISSP Certifications 

4+ years' AWS cloud-based technology services experience 

Skills 

Proficiency in Amazon Web Services (AWS) architecture and technologies such as Python, S3, Redshift, Postgres, Glue (catalog and ETL), EMR, Lambda, Step Functions, SQS/SNS, and ECS, among others. 

Strong experience in data engineering, data warehousing, data security and ETL processes 

Strong experience in Python object-oriented programming 

Knowledge of programming languages and tools such as Python, Java, Spring, Angular, SQL, and Shell scripting.  

Experience creating and using APIs for developing software 

Strong SQL Experience 

Strong analytical and problem-solving skills 

Good communication and collaboration skills 

Ability to drive code reviews with peers and managers to ensure that each increment adheres to original vision as described in the user story and all standard resource libraries and architecture patterns as appropriate 

Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand 

Ability to determine causes of operating errors and taking corrective action 

Skilled in performance tuning and working with large data sets 

Must be a self-starter and motivated to learn new technologies, skills, and knowledge required by duties and responsibilities in required timeframe 

Adept at managing one’s own tasks and commitments to ensure successful on schedule project completion 

 
Desired Skills and Tools 

Experience in the following software skills: API Gateway, UNIX, JSON, PARQUET, XML, Docker, Urban Code, Jenkins, Gitlab, Terraform, Oracle 

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

Skilled in JavaScript 

Skilled in XML 

Experience using JIRA 

Experience with data modeling, data architecture, and data governance 

Experience in Agile ceremonies and best practices  

Enterprise Data - Software Engineering - Senior Associate

Target Range: 121,000 to $158,000 annually

#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
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