Service Engineer I - Data Analytics / Machine Learning *Hybrid*

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.

 

As a Service Engineer I at Providence, you play a critical role in designing and maintaining high-performing, reliable, and secure services that support caregivers and business operations. You leverage deep technical and data analytics expertise to architect solutions that meet compliance standards and KPIs for quality, cost, and caregiver experience. From analyzing service delivery systems and optimizing capacity planning to troubleshooting complex issues and implementing permanent fixes, you ensure minimal disruption and maximum efficiency. Your proactive approach includes data normalization and optimization, incident response, and continuous monitoring of production environments. By applying best practices, driving process improvements, and utilizing data-driven insights, you enable predictable, on-time releases and cost-effective operations. Ultimately, you help deliver resilient, innovative solutions that empower caregivers and enhance service excellence across the organization.

Please note the following important details regarding this position:

• This is a hybrid role, involving a combination of in-office and remote work each week.
  • The weekly hybrid schedule will be determined by the manager based on departmental needs.
• Candidates must reside within commutable distance of the following office location:
  • California: Irvine
• On-call flexibility is essential to maintain operational continuity during critical situations and to support team members outside standard business hours
• Must be available to work weekends and holidays as scheduled, based on operational and departmental requirements

Required Qualifications:

• Bachelor's Degree in Computer Engineering, Computer Science, Mathematics, Engineering -OR- a combination of equivalent education and experience
• 1 or more years of related experience
• Experience in automation, specifically related to deployment, recovery, or other manual processes.

Preferred Qualifications:

• 1 or more years of experience in Data Analytics & Machine Learning
• Strong communication skills
• Strong SQL experience
• Strong Power BI experience
• Python – Working Knowledge
   

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.

At Providence, our strength lies in Our Promise of “Know me, care for me, ease my way.” Working at our family of organizations means that regardless of your role, we’ll walk alongside you in your career, supporting you so you can support others. We provide best-in-class benefits and we foster an inclusive workplace where diversity is valued, and everyone is essential, heard and respected. Together, our 120,000 caregivers (all employees) serve in over 50 hospitals, over 1,000 clinics and a full range of health and social services across Alaska, California, Montana, New Mexico, Oregon, Texas and Washington. As a comprehensive health care organization, we are serving more people, advancing best practices and continuing our more than 100-year tradition of serving the poor and vulnerable.

The amounts listed are the base pay range; additional compensation may be available for this role, such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.

Providence offers a comprehensive benefits package including a retirement 401(k) Savings Plan with employer matching, health care benefits (medical, dental, vision), life insurance, disability insurance, time off benefits (paid parental leave, vacations, holidays, health issues), voluntary benefits, well-being resources and much more.