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.