Finance Technology - SDET - Senior Associate

Company Description

At Fannie Mae, futures are made. 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 an inclusive team thriving in an energizing, flexible environment. Here, you will grow your career and help create access to fair, affordable housing finance.

Job Description

As a valued colleague on our team, you will develop and design moderately complex application testing methodologies, perform application automation testing, prepare reports, and document testing results.
THE IMPACT YOU WILL MAKE

The Finance Technology - SDET - 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:

Fannie Mae seeks Software Developer Engineer in Test – Reston, VA

• Develop quality test automation solutions for performance testing.
• Coordinate engineering and product teams to design automated test methodologies.
• Perform end to end automation testing.
• Review and implement product scalability, reliability, consistency, and performance.
• Collaborate with customers to gather and evaluate business requirements to formulate Big Data implementation plans.
• Build Big Data solutions using highly scalable infrastructure environments such as AWS including S3, Dynamo DB, EMR, Step functions, Lambda functions.
• Work on on-premise servers (Linux operating system) and Cloud servers (AWS CLI or the command line interface along with the UI/console) and established connection between them for data exchange purposes. 
• Automate extraction and ingestion process for the production environments using job schedulers such as AutoSys.
• Prepare unit test plan and unit test cases for software/application development.
• Mentor less experienced team members and share best practices in testing methodologies and Big Data.

This is a hybrid (work in office and remotely) position.

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Req’d:  

Master’s in Computer Science or Information Systems plus three years of experience as data engineer using AWS (S3, Dynamo DB, EMR, Step functions, Lambda, RDS, Batch), Big Data Hadoop cluster (HDFS, Yarn, Hive, MapReduce), Webservices, APIs, JSON, Python, SQL, Selenium, and Cucumber.

As a condition of employment with Fannie Mae, any successful job applicant will be required to pass a pre-employment drug screen and to successfully complete a background investigation, which may also include a credit check for positions in some areas of our business.

Additional Information

The future is what you make it to be. Discover compelling opportunities at careers.fanniemae.com.
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 [email protected].

#NP

#LI-DNI

The hiring range for this role is set forth on each of our job postings located on Fannie Mae's Career Site. 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.