Data Engineer I - Remote Healthcare Data

Providence Health Plan Group; Northern (KY); Hybrid; USD 65,000 - 90,000; Full time

Benefits offered by this job

Remote work

Job summary

Providence Jobs is seeking a Data Engineer I to design and build data-centric software supporting clinical and operational workflows. You will develop data pipelines, transformations, and provisioning layers across cloud-based environments, delivering secure, well-documented solutions in a fast-paced team setting.

Collaborate with Product, Platform, and Architecture teams to deliver impactful data solutions while maintaining rigorous source control and documentation standards.

Qualifications

• Bachelor's Degree in Computer Engineering, Computer Science, Mathematics, Engineering Or equivalent educ/experience.
• 1 Year Related experience; 1-3 years preferred.

Responsibilities

• The Data Engineer I designs and builds modern data-centric software applications to support clinical and operational processes across all parts of the healthcare system. Builds data pipelines and transformations, data enrichment processes, provisioning layers, and user interfaces to meet the requirements of key initiatives.
• Works with the Product, Platform, and Architecture teams to deliver on joint efforts and emphasizes collaboration with meticulous source control and documentation.

Education

Bachelor's Degree in Computer Engineering, Computer Science, Mathematics, Engineering Or equivalent educ/experience

Master's Degree in Computer Engineering, Computer Science, Mathematics, Engineering Or equivalent educ/experience

Job description

Providence Jobs is seeking a Data Engineer I to design and build data-centric software supporting clinical and operational workflows. You will develop data pipelines, transformations, and provisioning layers across cloud-based environments, delivering secure, well-documented solutions in a fast-paced team setting.

Collaborate with Product, Platform, and Architecture teams to deliver impactful data solutions while maintaining rigorous source control and documentation standards.