Data Software Engineer II IS

Providence • Redmond, WA

1d • Remote

About The Position

This role is responsible for designing, building, and modernizing data platforms through the migration, consolidation, and refactoring of enterprise data warehouses. The caregiver will develop scalable data pipelines and streaming solutions, work with large‑scale datasets in cloud environments, and apply best practices in data modeling, governance, and security. The position emphasizes strong data stewardship, ensuring accuracy, reliability, and compliance across the data lifecycle, while implementing robust validation, monitoring, and alerting frameworks. This role will also help drive meaningful data insights for caregivers by enabling and supporting AI‑powered tools, including generative AI and LLM‑based solutions, to improve decision‑making and operational outcomes. This role offers 100% remote work for candidates who reside in: Alaska Washington Montana Oregon California Within 65 miles of Lubbock, Levelland or Plainview, Texas Within 65 miles of Hobbs, New Mexico Providence caregivers are not simply valued – they’re invaluable. Join our team at Enterprise Information Services and thrive in our culture of patient-focused, whole-person care built on understanding, commitment, and mutual respect. Your voice matters here, because we know that to inspire and retain the best people, we must empower them.

Requirements

• Bachelor's Degree in Computer Engineering, Computer Science, Mathematics, Engineering., Or equivalent education/experience
• 2 years related experience; software engineering experience preferred.
• Experience with object-oriented programming in C#, Java, Python or equivalent.
• Experience with source code control systems such as Git.
• SQL integration development experience using SQL/NoSQL.
• Experience with agile methodologies and tools such as Azure Devops, TFS, and Jira.
• Proven track record of working both independently and collaboratively as part of a multi-disciplined team.
• Experience designing and successfully implementing a mid-sized project.

Nice To Haves

• Experience in a healthcare setting.
• Strong foundation in data engineering, including real‑time streaming architectures and end‑to‑end pipeline development
• Experience working with generative AI solutions, large language models (LLMs), and data‑driven platforms
• Experience modeling, processing, and optimizing large‑scale datasets in distributed or cloud environments
• Familiarity with data governance, security, and compliance best practices across the data lifecycle
• Proficiency in implementing data validation, monitoring, and alerting frameworks to ensure data reliability

Responsibilities

• Designing, building, and modernizing data platforms through the migration, consolidation, and refactoring of enterprise data warehouses.
• Developing scalable data pipelines and streaming solutions.
• Working with large‑scale datasets in cloud environments.
• Applying best practices in data modeling, governance, and security.
• Ensuring accuracy, reliability, and compliance across the data lifecycle.
• Implementing robust validation, monitoring, and alerting frameworks.
• Driving meaningful data insights for caregivers by enabling and supporting AI‑powered tools, including generative AI and LLM‑based solutions, to improve decision‑making and operational outcomes.

Benefits

• Our best-in-class benefits are uniquely designed to support you and your family in staying well, growing professionally, and achieving financial security.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees