Job summary
Job post source
This job is directly from Fannie Mae
Job overview
The Sr. AWS Engineer at Fannie Mae contributes to developing cloud data infrastructure and pipelines, impacting the housing finance industry by enabling accessible and organized data solutions.
Responsibilities and impact
The role involves designing and developing software solutions, implementing new cloud technologies, analyzing data sources, monitoring performance and security, and collaborating to create customer-focused solutions.
Compensation and benefits
The salary range is $121,000 to $158,000 annually, with eligibility for incentive programs and a comprehensive benefits package including health, life, and voluntary lifestyle benefits.
Experience and skills
Requires at least 2 years of experience, preferably 4+ years with AWS cloud technologies, a bachelor's degree in computer science or equivalent, and skills in AWS services, Python, data engineering, SQL, and software development tools.
Career development
Opportunities to grow a career in cloud data infrastructure within a collaborative team environment focused on impactful housing finance solutions.
Work environment and culture
Fannie Mae promotes a collaborative, energizing work environment with a commitment to diversity, equity, and inclusion, expecting onsite work with flexibility determined by management.
Company information
Fannie Mae is a leading company in the housing finance industry, focused on creating access to affordable housing through innovative data and cloud solutions.
Team overview
The candidate will join the Chief Data Office team, working alongside peers to develop cloud-based data infrastructure and software solutions.
Job location and travel
The position is based onsite with a preference for proximity to the designated office location, with in-office work cadence managed by the supervisor.
Unique job features
The role offers flexibility in daily work, involvement in end-to-end cloud software development, and the chance to work on impactful housing finance data projects using advanced AWS technologies.
Company overview
Fannie Mae, or the Federal National Mortgage Association, is a government-sponsored enterprise that provides liquidity, stability, and affordability to the U.S. housing market by purchasing and guaranteeing mortgages. They make money primarily through the fees they charge for guaranteeing loans and the interest income from their mortgage portfolio. Founded in 1938 during the Great Depression, Fannie Mae has played a crucial role in expanding homeownership in America.
How to land this job
Tailor your resume to highlight your expertise in AWS cloud technologies, emphasizing proficiency in Python, S3, Redshift, Glue, Lambda, and other AWS services mentioned in the job description to align with Fannie Mae's cloud data infrastructure needs.
Showcase your experience in data engineering, ETL processes, and data security, as well as your ability to design and develop scalable software solutions, as these are key responsibilities for the Sr. AWS Engineer role.
Apply through multiple channels including Fannie Mae's official careers page and LinkedIn to maximize your application visibility and ensure you don't miss opportunities.
Connect with current employees in Fannie Mae's Chief Data Office or cloud engineering teams on LinkedIn; use ice breakers like commenting on recent Fannie Mae cloud initiatives, asking about their experience working on data infrastructure projects, or expressing enthusiasm for their mission to improve affordable housing finance.
Optimize your resume for ATS by incorporating exact keywords from the job posting such as 'AWS architecture,' 'Python object-oriented programming,' 'ETL,' 'data security,' and specific AWS technologies like 'Glue,' 'Lambda,' and 'Redshift' to pass automated screening effectively.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify the best platforms to apply on, and discover LinkedIn contacts to network with, allowing you to focus your time on preparing for interviews and skill development.
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