Data Engineer

About this role

Health-E Commerce is hiring a Data Engineer to build and maintain their modern data platform, supporting analytics, reporting, and machine learning across the organization. You'll design scalable ETL/ELT pipelines, manage data quality and governance, and collaborate with Analytics Engineers, Data Scientists, and business teams to deliver reliable data infrastructure.

What you'll do

• Build and scale ETL/ELT pipelines and compute infrastructure on cloud platforms
• Ingest and integrate new data sources with proper modeling for analytics and ML use cases
• Develop internal data marts to enable self-service reporting and advanced analytics
• Deploy and maintain machine learning models in production with MLOps and monitoring
• Establish data quality, observability, and governance standards across pipelines
• Support strategic initiatives through data-driven analysis and cross-functional collaboration

What they're looking for

• SQL and Python
• Cloud data platforms (Azure Synapse, Snowflake, BigQuery, Databricks)
• ETL/ELT tools and orchestration (Apache Airflow, Prefect, Azure Data Factory)
• Relational databases and scripting (PowerShell)
• BI platforms (PowerBI)
• Git and collaborative development workflows
• Data modeling and quality assurance
• Stakeholder communication and problem-solving