At Freddie Mac, you will do important work to build a better housing finance system and you’ll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation.

Position Overview:

Freddie Mac’s Investments & Capital Markets (I&CM) Business Technology Office is looking for a Senior Full Stack Engineer who enjoys data and building data platforms from ground up using microservices architecture. Our ideal candidate is passionate about microservice architecture, data management in the cloud and helping people use the technology to transform their business processes and analytics.

You will be part of a group that supports a variety of internal customers. You will analyze, design, and develop data storage and data analytic solutions using data lake patterns, that help our customers run more effective operations and make better business decisions.

Our Impact:

We are part of a data platform that is building the next generations' way of consuming data in the cloud by modelers.

We build various data governance solutions using the latest microservices architecture, which run as cohesive unit within the overall data platform strategy.

We transform accounting systems from legacy monoliths to nimble microservice cloud enable systems.

We bring pioneering technology to bear on business challenges to delight and excite our customers.

We collaborate with other IT teams to advance our technical capabilities.

We live to automate and optimize processes and technologies.

Your Impact:

Scrum/agile based development and hands-on architecture in data science domain.

Architectural participation in supporting technologies supporting modelling, AI, data governance and access.

Develop, and maintain efficient data pipelines and ETL process for large-scale data integration.

Collaborate with data analysts and other engineer to defines data needs and build solution that drive business insights.

Develop, test, and deploy code for data extraction, transformation and loading processes (ETL/ELT).

Develop and maintain automated test scripts using Pytest to ensure high-quality software releases.

Release Support: Work closely with internal/external teams to help with the release process, ensuring smooth and error-free releases to production.

Interact directly with customers to gather feedback, troubleshoot issues, and ensure that the product meets their expectations.

Qualifications:

At least 2-5 years of professional experience

Bachelor's Degree in Computer Science or related discipline

Proficiency in Python programming language (Nice to have: Scala, Java).

Proficiency in SQL and database management (Snowflake cloud-base warehousing).

Strong experience with data processing frameworks, Apache Spark.

Experience with cloud platform AWS (EMR, EKS, Lambda).

Solid understanding of SDLC practices including development, testing, and release management.

Experience with version control systems such as Git, BitBucket

Experience with RESTful API design and development.

Familiarity with PySpark for large-scale data processing and analysis.

Keys to Success in this Role:

Help with pytests, testing frameworks, SDLC expertise.

Help with data modeling, data engineering efforts, proper python expertise

Interact with customers and stay on top of issues, understand our platform,  and debug issues.

Help with talend, control-m, APIs.

Hands-on help with our team release, customer release etc..

Pyspark, spark, sql knowledge.

Current Freddie Mac employees please apply through the internal career site.

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you’ll do important work for the housing finance system and make a difference in the lives of others.

We are an equal opportunity employer and value diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by applicable law. We will ensure that individuals with differing abilities 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.

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 www.BountyJobs.com and register with our referral code: MAC.

Time-type:Full time

FLSA Status: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 $103,000 - $155,000 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.