Data Engineer - Hybrid
Core
Design, develop, and maintain scalable cloud-based data pipelines and integration solutions for enterprise analytics and operational reporting in the healthcare industry.
Role type
Senior Data Engineer (Cloud/ETL)
Builds
Scalable ETL/ELT processes, reusable data engineering components, and enterprise data solutions.
Domain
Healthcare / Cloud Data Engineering (via careerplan.io/jobs/Genesis10-Data-Engineer---Hybrid-data-engineer-hybrid-at-genesis10)
Required skills
Python, SQL, Spark/PySpark, AWS (S3, Lambda, Glue, EC2), Data Modeling, Data Quality, Distributed Computing, Git, Agile methodologies
Preferred skills
Databricks (notebooks, workflows, cluster management), Healthcare industry experience, AWS Certification, UNIX/Linux scripting, Jira/epics management
Technologies
AWS Lambda, Cloud, Databricks, EC2, ETL, Git, JIRA, Linux, Network, Python, PySpark, SQL, Spark, Unix
Responsibilities
Design and implement enterprise data pipelines, troubleshoot production issues, participate in solution architecture, collaborate with business analysts and engineering teams, support testing and deployment, contribute to engineering best practices.
Seniority
Senior, hands-on IC
