Senior Data Engineer: Scalable Cloud Pipelines & AWS

Medzown; United States; On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Health insurance

Flexible working hours

Professional development opportunities

Job summary

A health technology company in the United States is seeking a highly skilled Senior Data Engineer to design, develop, and optimize scalable data pipelines in a cloud-first environment. The ideal candidate will have expertise in Python, Databricks, and AWS technologies, along with a solid understanding of data pipeline architecture and ETL processes. This role requires excellent problem-solving abilities and communication skills to effectively collaborate within an agile team. Join us to make a significant impact in precision medicine and patient care.

Qualifications

• 5+ years of experience in Python for data engineering, integration and scripting.
• 2+ years experience in Databricks ecosystem.
• 2+ years of experience with healthcare claims data.

Responsibilities

• Design and maintain robust ETL processes for complex data workflows.
• Develop scalable data pipelines using AWS services.
• Collaborate with cross-functional teams to deliver data solutions.

Skills

Python

Databricks

ETL processes

AWS services

Problem-solving

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

AWS Lambda

MongoDB

Postgres

CI/CD tools

Job description

A health technology company in the United States is seeking a highly skilled Senior Data Engineer to design, develop, and optimize scalable data pipelines in a cloud-first environment. The ideal candidate will have expertise in Python, Databricks, and AWS technologies, along with a solid understanding of data pipeline architecture and ETL processes. This role requires excellent problem-solving abilities and communication skills to effectively collaborate within an agile team. Join us to make a significant impact in precision medicine and patient care.