Virginia Staffing
Finance Technology - Software Engineering - Senior Associate
Virginia Staffing, Reston, Virginia, United States, 22090
Sr. Software Engineer
Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home. 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 Sr. Software 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: 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 The experience you bring to the team: Minimum required experiences: 2 years experience Experience developing and operating enterprise cloud-native AWS data applications. Experience developing data engineering pipelines on AWS stack using Python. Deep technical knowledge of AWS services - EC2, EMR, Lambda, StepFunctions, S3, SNS/SQL, CloudWatch. End to End automation using AI agents Solid understanding of database technologies including Redshift and RDS with strong technical ability with complex SQL. Proficiency developing REST API integrations with SaaS applications. Experience with DevOps and CI/CD concepts and tools. Experience building E2E test automation with a focus on data validation. Demonstrated interest in adopting AI for software development via copilot, agents etc. towards increasing efficiency and reducing "time-to-value". Analytical and critical thinking skills to identify and resolve complex technical issues. Excellent communication skills with the ability to clearly articulate technical concepts to both technical and business stakeholders. Proven ability to work effectively in a team environment, fostering a collaborative culture. Desired experiences: Bachelor degree or equivalent Experience with Financial Modeling and Forecasting ecosystems AWS Certifications - Solutions Architect, Developer, Data Engineer Target pay range: $121,000.00 - $158,000.00 a year Internal Job Title: Finance Technology - Software Engineering - Senior Associate 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.
Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home. 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 Sr. Software 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: 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 The experience you bring to the team: Minimum required experiences: 2 years experience Experience developing and operating enterprise cloud-native AWS data applications. Experience developing data engineering pipelines on AWS stack using Python. Deep technical knowledge of AWS services - EC2, EMR, Lambda, StepFunctions, S3, SNS/SQL, CloudWatch. End to End automation using AI agents Solid understanding of database technologies including Redshift and RDS with strong technical ability with complex SQL. Proficiency developing REST API integrations with SaaS applications. Experience with DevOps and CI/CD concepts and tools. Experience building E2E test automation with a focus on data validation. Demonstrated interest in adopting AI for software development via copilot, agents etc. towards increasing efficiency and reducing "time-to-value". Analytical and critical thinking skills to identify and resolve complex technical issues. Excellent communication skills with the ability to clearly articulate technical concepts to both technical and business stakeholders. Proven ability to work effectively in a team environment, fostering a collaborative culture. Desired experiences: Bachelor degree or equivalent Experience with Financial Modeling and Forecasting ecosystems AWS Certifications - Solutions Architect, Developer, Data Engineer Target pay range: $121,000.00 - $158,000.00 a year Internal Job Title: Finance Technology - Software Engineering - Senior Associate 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.