Data Engineer for 12 Month Project - Remote

Overview

We are looking for a driven and experienced Data Engineer to join our team on a temporary, 12 month project. As a Data Engineer you will build and maintain the Unified Data Fabric serving as the foundation for a misleading marketing monitoring and oversight system, responsible for ingesting, processing, and standardizing data from multiple sources including internal data sources and social media advertising platforms.

In Short

• Design and implement an S3-based data lake with proper zone-based organization.
• Build robust data ingestion pipelines for batch and streaming data sources.
• Develop ETL processes for data cleaning, normalization, and correlation.
• Create and maintain data catalogs and metadata management systems.
• Establish data retention and archival policies.
• Collaborate with ML Engineer on feature engineering pipelines.
• Ensure data quality validation and monitoring systems are in place.
• Optimize data storage for performance.
• Monitor and prevent fraud, waste, and abuse in healthcare delivery.
• Support the delivery of healthcare to millions of Americans.

Requirements

• Bachelor's degree in Computer Science, Data Engineering, or related field.
• 5+ years of experience in data engineering and pipeline development.
• Expert-level experience with AWS data services (S3, Glue, Kinesis).
• Proficiency in Python, SQL, and data processing frameworks (Spark, EMR).
• Experience with data lake architectures and modern data stack.
• Strong understanding of data modeling and schema design.
• Experience with workflow orchestration tools (Airflow or similar).
• Knowledge of data governance and quality practices.
• US Citizenship or Permanent Residency required.
• Must reside in the Continental US.

Benefits

• Opportunity to make a significant impact on healthcare delivery.
• Collaborative and vibrant team environment.
• Engagement in meaningful digital transformation projects.
• Professional development opportunities.
• Exposure to modern data technologies and practices.