Data Engineer, Tech Lead; Hybrid - in Office

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 home ownership and rental housing more accessible and affordable across the nation.

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

• 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.

• Scrum/agile based development and hands‑on architecture in data science domain.
• Architectural participation in supporting technologies supporting modelling, AI, data governance and access.
• Analyze, guide, lead, develop, and maintain efficient data pipelines and ETL process for large‑scale data integration.
• Collaborate with data analysts and other engineers to define data needs and build solutions that drive business insights.
• Architect, develop, test, and deploy code for data extraction, transformation and loading processes (ETL/ELT).

• Strong proficiency (8+ yrs) in Python programming language (Nice to have: Scala, Java).
• Strong proficiency in Spark SQL, SQL, Gremlin, Graph
  
  QL and database management (Snowflake cloud‑based warehousing).
• Strong experience with data processing frameworks, Data Frames, Apache Spark, Graph DBs.
• Experience with cloud platform AWS (EMR, EKS, Lambda).
• Experience writing statistical and/or optimization programs to develop models and algorithms. Programming languages may include, but are not limited to, Python, R.
• Strong analytical and problem‑solving skills with a high level of attention to detail.

• Intellectual agility and interpersonal flexibility.
• Ability to work with and collaborate across the team and where silos exist.
• Deep curiosity to learn about the latest trends.
• Ability to use data to help inform strategy and direction.
• Problem solver, innovative and ability to think outside of the box.
• Ability to translate complex statistical models and methodologies into simple business terms.
• Strong leadership, planning and communication skills.

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.

This position has an annualized market‑based salary range of $143,000 – $215,000 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.