Sr. Software Engineer - Enterprise Data

es:

• 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, Hive, MapReduce frameworks), Spark, AWS EMR, ECS

• 2+ years recent experience building and deploying applications in AWS (S3, Hive, Glue, AWS Batch, Dynamo DB, Redshift, AWS EMR, Cloudwatch, RDS, Lambda, SNS, SWS etc.)

• 2+ years Python, SQL, SparkSQL, PySpark

Desired Experiences

• Bachelor degree or equivalent

• 4+ years experience with Big Data Hadoop clusters, AWS, and Python

• Knowledge of Spark streaming technologies

• Experience in working with agile development teams

• Familiarity with Hadoop / Spark information architecture, Data Modeling, Machine Learning (ML)

• Knowledge of Environmental, Social, and Corporate Governance (ESG)

Skills

• Skilled in cloud technologies and cloud computing

• Programming including coding, debugging, and using relevant programming languages

• Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data

• Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB

• Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica

• Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere

• Working with people with different functional expertise respectfully and cooperatively to work toward a common goal

• Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc.

• Excellent problem-solving skills and strong verbal & written communication skills

• Ability to work independently as well as part of an agile team (Scrum / Kanban)

Tools

• Skilled in AWS Analytics such as Athena, EMR, or Glue

• Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora

• Skilled in SQL

• Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS

• Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms

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

• Skilled in Python object-oriented programming

Enterprise Data - Software Engineering - Senior Associate

Target Pay Range: $121,000 - 158,000 a year

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