Data Engineer – Python & Azure

Design, build, and maintain Azure Data Factory (ADF) pipelines for batch and near-real-time data ingestion, transformation, and orchestration across Azure data services.Develop and optimize Python-based data processing (pandas / APIs) to support scalable ETL/ELT workflows and advanced data transformations.Collaborate with analytics and business teams while adhering to enterprise security, compliance, and data governance standards.

Core Job Requirements 5+ years of experience in analytics engineering, data engineering, or advanced BI within a modern data stackStrong SQL skills with experience building scalable, well-structured datasetsHands-on experience with dbt (or similar) for modeling, testing, and documentationExperience working with cloud data warehouses (Snowflake preferred), including performance tuning and cost awarenessSolid understanding of analytics engineering best practices:Star and snowflake schemasIncrement

We are seeking a Senior ETL Engineer with strong healthcare domain experience to design, build, and maintain large-scale data pipelines on AWS. This role focuses on processing healthcare claims data and ensuring secure, reliable, and high-quality data delivery for analytics and reporting. Key Responsibilities: Design and develop ETL/ELT pipelines using AWS Glue, PySpark, and SQLProcess and validate healthcare claims data (EDI 837, 835, 270/271, 276/277)Build and optimize data models in Amazon Re

Need 15+ years of experience We are looking for a Senior Data ETL Architect with strong expertise in AWS-based data engineering, Python, SQL and healthcare claims processing. This role involves designing and managing large-scale, HIPAA-compliant data pipelines handling millions to hundreds of millions of claims records. The candidate will act as a technical leader, working closely with analytics, clinical, compliance, and product teams. Must-Have Skills Healthcare Domain (Mandatory) Strong expe