Sr. Data Engineer
About the role
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
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