Data Engineer

You will build and maintain data pipelines to extract insights from structured and unstructured datasets.

Responsibilities

• Assemble large, complex data sets to meet business requirements and identify improvement opportunities.
• Build and maintain analytics tools that utilize data pipelines to provide insights into operational efficiency.
• Design, develop, test, and implement cost-effective strategies for data assimilation and reporting.
• Support technical teams with quality checks, troubleshooting, and data management.
• Identify risks and form contingency plans to ensure data integrity and reporting quality.

Required Skills

• 5+ years of experience as a Data Engineer.
• 3+ years of experience with Data Analytics and Reporting.
• Proficiency in SQL and NoSQL database technologies.
• Hands-on experience with MySQL, MongoDB, and Hadoop.
• Experience working with unstructured datasets and scientific methods for data extraction.
• Familiarity with cloud technologies such as AWS and Azure.
• Bachelor's degree in Computer Science, Engineering, or Math, or equivalent experience.

Preferred Skills

• Experience working with Health and Human Services (HHS).
• Experience working in CMMI Level 3 or higher environments.