Sr. Software Engineer - Enterprise Data
Reston Town Center, United States
Full Time Senior-level / Expert USD 121K - 158K
Fannie Mae
We facilitate equitable and sustainable access to homeownership and quality, affordable rental housing across America.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 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 Sr. Software Engineer - Enterprise Data 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, 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:
121000to
158000Tags: Agile Architecture Athena AWS Big Data Data Mining EC2 ECS Engineering Finance Hadoop HDFS Informatica Kanban Lambda Machine Learning MongoDB MySQL OOP Oracle PySpark Python Redshift Scrum Spark SQL Streaming Testing
Perks/benefits: Career development Health care
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