Big Data Engineer - AWS (Flexible Hybrid)

Target Hiring Range (1): 119000

Target Hiring Range (2): 155000

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 use tech to tackle housing's biggest challenges and impact the future of the industry. You'll be a part of an expert 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 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.

THE IMPACT YOU WILL MAKE
The Big Data Engineer - AWS 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:

• 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.

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences:

• 2+ years with Big Data Hadoop cluster (HDFS, Yarn, Hive, MapReduce frameworks), Spark
• 2+ years of recent experience with building and deploying applications in AWS (S3, Hive, Glue, AWS Batch, Dynamo DB, Redshift, Cloudwatch, RDS, Lambda, SNS, SWS etc.)

Desired Experiences:

• Bachelor degree or equivalent
• 2+ years of Java (JEE, Swing, Spring), SQL
• 4+ years of Python, SparkSQL, PySpark
• 4+ years of ETL experience
• Knowledge on Mortgage and Housing Finance domain
• Knowledge of Spark streaming technologies
• Familiarity with Hadoop / Spark information architecture, Data Modeling, Machine Learning (ML)
• Knowledge of Financial Products, Risk Management, Portfolio Management is preferred but not mandatory. Training will be provided to help you gain ground
• Excellent problem solving skills and strong verbal & written communication skills
• Ability to work independently as well as part of a team

Skills

• Programming including coding, debugging, and using relevant programming languages
• Working with people with different functional expertise respectfully and cooperatively to work toward a common goal
• Expertise in service management concepts for networks and related standards such as ITIL practices or SDLC
• Skilled in cloud technologies and cloud computing
• Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere
• Experience defining and managing changes to documents, code, computer programs, websites, and other files to enable collaboration and ensure teams are working from the latest version
• Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc.

Tools

• Java
• AbInitio
• Python
• AWS
• SQL
• PySpark

Additional Information

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

Fannie Mae is a flexible hybrid company. We embrace flexibility for our employees to work where they choose, while also providing office space for in-person work if desired. At times, business need may call for on-site collaboration, which means proximity within a reasonable commute to your designated office location is preferred unless job is noted as open to remote.

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].

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.