Data Engineer (Hybrid)
Fannie MaeAbout the role
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 assist with monitoring customer needs and intended uses of requested data in the development of database requirements and assist in the planning and engineering of enterprise databases.
THE IMPACT YOU WILL MAKE
The Data 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:
- Assist with monitoring customer needs and intended uses of requested data in the development of database requirements and assist in the planning and engineering of enterprise databases.
- Attend training for database technologies, complex coding languages, and computer system skills.
- Integrate data into readily available formats while maintaining existing structures and govern their use according to business requirements.
- Assist with incorporating new data sources and monitor the performance, scalability, and security of data.
- Support the team in creating an initial analysis and deliver the user interface (UI) to the customer to enable further analysis.
Qualifications
THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experiences:
- Experience with SQL
- Experience working with an AWS Cloud Tech Stack
- Experience in a Data Analysis capacity
Desired Experiences:
- Bachelor degree or equivalent
Skills
- Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
- Skilled in documentation and database reporting for the purposes of analysis, data discovery, and decision-making with the use of relevant software such as Crystal Reports, Excel, or SSRS
- Skilled in cloud technologies and cloud computing
- Skilled in the graphical representation of information in the form of a charts, diagrams, pictures, and dashboards with programs and tools such as Excel, Tableau, or Power BI
Tools
- AutoSys
- Unix
- Analytics such as Athena, EMR, or Glue
- AWS Database products such as Neptune, RDS, Redshift, or Aurora
- Skilled in SQL
- Skilled in Excel
- Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS
- Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
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 careers_mailbox@fanniemae.com.
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.
Apply for this role
Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds.
Apply Now →Generate Application KitFree account required — sign up in 30s