Senior Data Engineer (Python) | McLean VA

Senior Data Developer

Freddie Mac is building a culture based on modern software delivery practices to support the secondary mortgage market through rapid technology and best practice innovation.

Freddie Mac’s Single-Family Division is currently seeking a Senior Data Developer to implement data processing and ingestion of structured and semi-structured data as a member of the Innovation in Data Engineering and Analytics (IDEA) team. Responsibilities include:

• Cleanse, manipulate and analyze large datasets (Semi-Structured and Unstructured data – XMLs, JSONs, CSVs, PDFs) using python and Snowflake database.
• Develop Python scripts to filter/cleanse/map/aggregate data.
• Manage and implement data processes (Data Quality reports)
• Develop data profiling, deduping logic, matching logic for analysis
• Programming Languages experience in Python, PySpark and SQL for data ingestion
• Present ideas and recommendations on data handling and data parsing technologies to management

Required Experience:

• 5+ years of experience in processing large volumes and variety of data (Structured and semi-structured data, writing code for parallel processing, shredding XMLS, JSONs and reading PDFs) - Mandatory
• 3+ years of development experience in Python for data processing and analysis – Mandatory
• Strong SQL experience is a must - Mandatory
• Detail oriented. Excellent communication skills (verbal and written)
• Must be able to manage multiple priorities and meet deadlines
• 3+ years of experience – using Hadoop platform and performing analysis.