Data Software Engineer II

Role Description

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.
• Apply best practices in data modeling, governance, and security.
• Ensure accuracy, reliability, and compliance across the data lifecycle.
• Implement robust validation, monitoring, and alerting frameworks.
• Help drive meaningful data insights for caregivers by enabling and supporting AI‑powered tools, including generative AI and LLM‑based solutions.

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

Qualifications

• Bachelor's Degree in Computer Engineering, Computer Science, Mathematics, Engineering, or equivalent education/experience.
• 2 years related experience; software engineering experience preferred. 2-5 years 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.

Requirements

• 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.

Benefits

• Comprehensive benefits package including a retirement 401(k) Savings Plan with employer matching.
• Health care benefits (medical, dental, vision).
• Life insurance and disability insurance.
• Time off benefits (paid parental leave, vacations, holidays, health issues).
• Voluntary benefits and well-being resources.