Role Overview
We are seeking two offshore Data Engineers to support ongoing enterprise data engineering and advanced analytics initiatives. These roles will function as long-term, steady-state support resources, contributing to data platform operations, ETL development, and emerging AI-enabled analytics use cases.
The ideal candidates will bring strong foundational data engineering expertise while being comfortable working in a modern analytics ecosystem that includes advanced tooling for data exploration and productivity acceleration.
Key Responsibilities
- Design, develop, and maintain ETL/ELT pipelines to support enterprise data processing and analytics.
- Perform data ingestion, transformation, and integration across multiple datasets and domains.
- Support data engineering operations for ongoing analytics and reporting workflows.
- Collaborate with business and analytics teams to:
- Explore datasets.
- Enable investigative analysis (e.g., fraud, waste, and abuse use cases).
- Work with modern data tools to accelerate analysis and data discovery while ensuring outputs are validated for accuracy.
- Ensure data quality, reliability, and performance of pipelines and datasets.
- Participate in continuous enhancement of data models and workflows.
- Support production and non-production environments as part of an ongoing support model.
Required Skillsets & Experience Core Data Engineering
- Strong experience in data engineering and ETL/ELT development.
Work Location: Remote
