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 contribute to developing data infrastructure and pipelines to capture, integrate, organize, and centralize data while testing and ensuring the data is readily accessible and in a usable state, including quality assurance.
The Impact You Will Make
As a Sr. AWS Data Engineer you'll be a key contributor on the 12-person Fannie Mae Connect scrum team, helping to expand our external reporting platform to a broader internal audience. You'll work in a collaborative, agile environment where your technical expertise and curiosity about the business will directly shape how Fannie Mae delivers data-driven insights to customers and service providers. This role offers the flexibility to make each day your own while working alongside people who care deeply about impact and innovation.
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What You'll Do
- Design, develop, and maintain AWS-based databases and data pipelines (50% development, 50% maintenance/ops).
- Perform application database administration, ETL development, and DevOps for database code.
- Write and optimize complex SQL for reporting and analytics use cases.
- Support sprint testing, production deployments, and lower environment changes.
- Analyze new data sources and ensure performance, scalability, and security.
- Recommend and implement database best practices and tuning strategies.
- Collaborate on cross-functional initiatives including Tableau dashboards, Alteryx workflows, API development, and test automation.
Tech Stack You'll Work With
- Databases: AWS Redshift, RDS Aurora Postgres
- Languages: SQL, Python, JSON
- Tools: DBeaver, Flyway, Excel, JIRA
THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experiences
- 2 years
Desired Experiences
- 5+ years of experience in data engineering or database development.
- Deep expertise in AWS database technologies and cloud computing.
- Strong SQL skills and experience with performance tuning for reporting systems.
- Experience working in agile scrum teams and collaborating across functions.
- Familiarity with DevOps tools and CI/CD pipelines for database code.
- Passion for data, analytics, and learning the business domain.
Preferred (One or More)
- Databases: Oracle
- Languages: Java, Angular
- AWS Services: Lambda, EC2, ECS, Athena, Glue, EMR
- Tools: Cucumber: Alteryx, Tableau
- AWS Database Certification (e.g., AWS Certified Database - Specialty)
Why Join Us
- Be part of a mission-driven organization that impacts millions of lives.
- Work with a modern tech stack and a team that values innovation and learning.
- Enjoy flexibility, autonomy, and a supportive team culture.
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 encouraged 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