Required Qualifications

1. Senior skill level
2. Approximately Five years of data engineering or data management experience.
3. Proficiency with major data sciences tools such as SQL, Python, R, and Git.
4. Demonstrated experience with cleaning, management, optimizing performance and processing large volumes of data.
5. Familiarity with industry best-practices for software-hardware optimization when processing large sets of data.
6. Experience with machine learning, with statistical modeling, time-series forecasting, and/or geospatial analytics is preferred.
7. Experience with Hadoop, Spark or other parallel storage/computing processes is a plus.