Enterprise Data - Data Engineering - Manager

As a valued leader on the team, you will manage data infrastructure and pipelines to capture, integrate, organize, and centralize data while testing and maintaining to ensure data is readily accessible and in a usable state, including quality assurance.

THE IMPACT YOU WILL MAKE
The Enterprise Data - Data Engineering - Manager 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:

Fannie Mae seeks Data Engineering–Manager – Reston, VA

• Lead the team in the development of data infrastructures and pipelines to capture, integrate, organize, and centralize data while testing and ensuring data is readily accessible and in a usable state, including quality assurance.
• Lead the team to organize and integrate data into readily available formats while maintaining existing structures and govern their use according to business requirements.
• Lead the team in the analysis of new data sources and monitoring of performance, scalability, and security of data.
• Manage customer needs and intended uses for requested data in the development of database requirements and planning of enterprise databases. Determine the needs of diverse and complex customer groups requiring applied understanding of strategic issues of importance to the function/initiative.
• Scale and coach multiple teams in parallel on their Cloud migration and adoption journeys.
• Assist with initiatives supporting Digital Transformation.
• Determine technical requirements of pending or current projects and assess how development objectives can best be met using current staff and resources.
• Assign and manage staff assigned to particular projects and provide technical oversight as needed.
• Hire, manage, mentor and develop, and evaluate staff. Ensure continued technical and professional development of staff and provide ongoing technical guidance and direction.
• Ensure that projects are conducted in accord with the organization's structured methodology and standards.

This is a hybrid (work in office and at home) position.

Req’d:   

Master's Degree in Computer Science plus 5 years' experience in large enterprise data warehouse application development for financial services companies. Experience must include 5 years in leading the development of large enterprise data infrastructure and pipelines using AWS technologies (including Cloud Formation, S3, Elastic Container Service, IAM, Redshift, Lambda, CloudWatch, VPC, Secrets Manager, Splunk), JIRA, Java, JavaScript, JSON, Jenkins, Oracle Database, Python, SQL, Agile practices. Experience must also include 5 years of leading teams on large and complex projects, overseeing team members’ works on technical content, and mentoring less experienced team members.

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 [email protected].

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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.