At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.
Position Overview: Are you eager to join a technology and data engineering team where you can engage with cloud-based technologies and contribute to data analytics and reporting solutions? This team plays a crucial role in supporting the Home Possible and Affordable Lending reporting within the Single Family division. As a member of this team, you are a full stack developer and will collaborate with a diverse and agile group that consistently aims to deliver innovative, automated, and cost-effective solutions. If you are a motivated, solutions-oriented self-starter with a commitment to operational excellence and you have a strong technology background in developing microservices, working with AWS, Kubernetes, Python/PySpark, SQL, and high-availability applications, we encourage you to apply for this position.
Our Impact: The Affordable Lending Development Team is responsible for creating and maintaining the FHFA Affordable Lending Reports and Home Possible application tools and software. We focus on developing and sustaining microservices, web UI tools, and ensuring the accurate and timely generation and delivery of reports to the Single Family Business Team.
Your Impact: You will have a significant impact on the development, implementation, and continuous improvement of next-generation applications and their support processes within the Single-Family Affordable Team. You will work collaboratively with the team to detect and resolve incidents, recognize and manage defects.
Responsibilities include:
- Quickly learning new and legacy technologies and paradigms, including AI-assisted development tools, to deploy innovative and automated solutions.
- Understanding business needs and processes; identifying solutions, presenting them, and collaborating with the team and stakeholders to determine the best approach.
- Partnering on a DevOps team focused on, designing and building applications based on regulatory and user requirements, promoting top code quality, and addressing challenging issues related to data quality, performance tuning, and scalability.
- Providing production support, including evaluating defects, investigating root causes, and delivering solutions to address these issues.
- Implementing software application changes within aggressive delivery timelines.
- Executing departmental processes in a high-quality, efficient, and team-oriented manner.
Qualifications: - Bachelor's degree in computer science or any quantitative field.
- Typically has 2 - 4 years of programming experience in corporate settings.
- 2+ Years of experience in Python, PySpark, Java.
- Back End Skills: Python, PySpark, Java - FLASK/REST/Json API, SQL (Postgres).
- Front End Skills: Web based application skills (Angular, JavaScript, HTML).
- Automation Testing: PyTest, Cucumber, Behave framework, knowledge in API Test framework.
- DevOps Tools: JIRA, Bit Bucket, Gradle, Docker, Jenkins CI/CD pipeline, Kubernetes, AWS.
- Prefer: GenAI, Langchain, LLMs knowledge.
- Prefer: familiarity with Informatica and/or SAS.
- Experience working on Agile teams.
Keys to Success in this Role: - Self-starter with a solutions-orientation and strong execution and delivery commitment
- Team player with a passion for software development.
- Strong desire to learn and swiftly gain knowledge and domain expertise.
- Possess sStrong communication and interpersonal skills for effective collaboration within a team and interaction with business customers.
- Bring an analytical and creative mindset to work every day.
- Demonstrate meticulous attention to both business and technical details.
- Strong commitment to customer satisfaction and improving processes.
Current Freddie Mac employees please apply through the internal career site. We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.
CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit and register with our referral code: MAC.
Time-type:Full time
FLSA Status:Non-Exempt
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.
This position has an annualized market-based salary range of $85,000 - $127,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.
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