Python Developer/ Data Engineer

Job Title: Python Developer/Data Engineer Location: Remote Job Type: Contract Industry: Healthcare / Life Sciences (Preferred) • • • Minimum of 12 years of experience in the IT field • • • Job Summary We are seeking a highly skilled Python Developer/Data Engineer with expertise in AWS Glue, Python, and modern data pipeline development. The ideal candidate will have a minimum of 12 years of experience in the IT field, with hands-on work in building scalable data infrastructure and APIs. Preference will be given to candidates with a background in clinical or imaging data environments. Responsibilities • Design, build, and maintain scalable data pipelines using AWS Glue, Python, and AWS services. • Develop and deploy APIs to access and manage data stored in data lakes. • Use AWS CDK (Cloud Development Kit) to deploy infrastructure as code. • Build and manage CI/CD pipelines using AWS CodePipeline and related tools. • Ensure high performance, availability, and scalability of data platforms. • Collaborate with cross-functional teams including data scientists, software engineers, and product managers. • Monitor and troubleshoot data pipeline issues and optimize data workflows. • Document data flows, pipeline structures, and deployment procedures. Required Skills • Minimum 12 years of experience in the IT field, with at least several years in data engineering. • Strong experience with AWS Glue and Python for ETL and data processing. • Proficiency in building and deploying RESTful APIs to interface with data lake APIs. • Hands-on experience with AWS CDK for infrastructure deployment. • Knowledge of AWS CodePipeline for continuous integration and deployment. • Solid understanding of cloud-based data architectures and data lake concepts. • Strong problem-solving skills and attention to detail. • Excellent communication and collaboration skills in a remote team environment. Preferred Qualifications • Experience with clinical or medical imaging data and compliance standards (e.g., HIPAA). • Familiarity with healthcare data formats (e.g., DICOM, HL7, FHIR). • Previous experience in life sciences, healthcare, or pharmaceutical environments.