Collaborate with cross-functional teams to design, build, and support our Enterprise Data Mesh.
Develop robust, secure, and scalable data platforms that power insights for healthcare providers.
Establish and promote data engineering best practices, including data modeling standards and pipeline design.
Build, monitor, and optimize high-performance data pipelines leveraging modern big data frameworks.
Partner with senior technical leaders, analysts, engineers, and data scientists to deliver scalable AWS-based data solutions.
Architect and implement advanced data solutions, including data integration, transformation, governance, and application enablement.

Bachelor’s degree (or higher) in Computer Science or a related field from an accredited institution.
8+ years of experience designing, deploying, and managing cloud-based data platforms on AWS.
Extensive experience implementing big data technologies and modern Data Lakehouse architectures on AWS.
Deep expertise in AWS services such as EMR, Glue, S3, RDS, and Aurora PostgreSQL.
Strong experience building and automating scalable data pipelines.
Proficiency in Python, PySpark, Scala, and advanced SQL for large-scale data processing.
Experience with infrastructure as code tools such as Terraform and serverless technologies including AWS Lambda.

Senior AWS Data Engineer

Key skills