Role Overview
Freddie Mac is hiring a entry-level Professional Data Engineer. This is a full-time role in McLean. Part of Freddie Mac's Trading hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
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. Continue your career journey where your work contributes to a greater purpose.
Position Overview:
We are seeking a highly skilled Professional Software Engineer to join our team and enhance our internal data platform. This role requires expertise in modern cloud-based data infrastructure to support data-driven decision-making and modeling across the organization. The ideal candidate will possess a strong background in data engineering, software engineering, and AWS familiarity.
Our Impact:
- We manage a critical internal data platform supporting key business operations, including prepayment model development, trading analytics, and securitization.
- We collaborate with various teams to understand their data requirements and design systems that align with their business objectives.
- We ensure our systems are robust, scalable, fault-tolerant, and cost-effective.
Your Impact:
- Design, build, maintain and support ETL/ELT data pipelines using AWS Services (e.g. AWS EMR) and Snowflake
- Maintain data ingestion libraries written in Java and Python
- Design and develop new code, review existing code changes, and implement automated tests.
- Actively seek opportunities to continuously improve the technical quality and architecture to improve the product’s business value.
- Improve the product’s test automation and deployment practices to enable the team to deliver features more efficiently.
- Operate the data pipelines in production including release management and production support.
Qualifications
- At least 2 years of experience developing production software
- Strong Python skills with at least two years of experience writing production code
- At least one year of experience in data engineering with either Apache Spark or Snowflake
- Bachelor’s degree in computer science or equivalent experience
- Experience writing automated unit, integration, regression, performance and acceptance tests
- Solid understanding of software design principles
Keys to Success in this Role:
- Passionate about hands-on software development
- A desire to work on all aspects of the software development lifecycle: requirements gathering, design, development, testing and operations
- Strong collaboration and communication skills (both written and verbal)
- Desire to continuously improve the team’s technical practices
- Ability to quickly learn, apply and deploy new technologies to solve emerging problems
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.
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 $109,000 - $163,000 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.
Frequently Asked Questions
How do I apply for the Professional Data Engineer position at Freddie Mac?
Use the Apply button above to submit your application directly to Freddie Mac. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Professional Data Engineer position at Freddie Mac located?
This position is based in McLean. Freddie Mac has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Professional Data Engineer at Freddie Mac earn?
Freddie Mac has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Professional Data Engineer role at Freddie Mac posted?
This role was posted on April 8, 2026 (61 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
Is the Professional Data Engineer role at Freddie Mac entry-level?
Yes. This is an entry-level position. Strong candidates typically have 0-2 years of relevant work experience, internships, or significant project work. Read the full description for any specific qualification requirements Freddie Mac has listed.
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