Data Software Engineer II - Remote
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.
Required 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.
Preferred Qualifications:
- 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
Salary Range by Location:
AK: Anchorage: Min: $48.27, Max: $76.22
AK: Kodiak, Seward, Valdez: Min: $50.32, Max: $79.45
California: Humboldt: Min: $50.32, Max: $79.45
California: All Northern California - Except Humboldt: Min: $56.46, Max: $89.13
California: All Southern California - Except Bakersfield: Min: $50.32, Max: $79.45
California: Bakersfield: Min: $50.32, Max: $79.45
Montana: Except Great Falls: Min: $38.86, Max: $61.36
Montana: Great Falls: Min: $36.82, Max: $58.13
New Mexico: Min: $38.86, Max: $61.36
Oregon: Non-Portland Service Area: Min: $45.00, Max: $71.05
Oregon: Portland Service Area: Min: $48.27, Max: $76.22
Texas: Min: $36.82, Max: $58.13
Washington: Western - Except Tukwila: Min: $50.32, Max: $79.45
Washington: Southwest - Olympia, Centralia & Below: Min: $48.27, Max: $76.22
Washington: Tukwila: Min: $50.32, Max: $79.45
Washington: Eastern: Min: $42.96, Max: $67.82
Washington: Southeastern: Min: $45.00, Max: $71.05
Why Join Providence?
Our best-in-class benefits are uniquely designed to support you and your family in staying well, growing professionally, and achieving financial security. We take care of you, so you can focus on delivering our Mission of caring for everyone, especially the most vulnerable in our communities.
Accepting a new position at another facility that is part of the Providence family of organizations may change your current benefits. Changes in benefits, including paid time-off, happen for various reasons. These reasons can include changes of Legal Employer, FTE, Union, location, time-off plan policies, availability of health and welfare benefit plan offerings, and other various reasons.
