Remote Data Engineer Scalable ETL Pipeline Development

Position: Remote Data Engineer for Scalable ETL Pipeline Development

Shape data infrastructure as a Remote Data Engineer focused on scalable ETL/ELT pipelines. Leverage strong SQL and Python skills to enhance data models and reporting efficiency.

In this role, you will develop and maintain robust data pipelines for quality and risk adjustment reporting. You will collaborate with cross-functional teams including actuarial, quality, compliance, and analytics, ensuring data integrity and traceability in a fully remote setting. Your expertise will also help optimize pipeline performance in cloud or hybrid environments.

Key Responsibilities:

• Develop scalable ETL/ELT data pipelines

• Build data models for quality reporting

• Maintain comprehensive data lineage and traceability

• Implement automated quality monitoring processes

• Document governance controls and transformations

Requirements:

• 3+ years in data engineering or ETL development

• Proficient in SQL and Python programming

• Experience with data warehouses or data marts

• Familiarity with AWS, Azure, or GCP platforms

• Knowledge of Snowflake, Databricks, or Airflow preferred

Enhance data architecture and drive governance controls as a critical asset in remote data engineering.

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