Senior Data Solutions Engineer

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Community Medical Services (CMS) is hiring a Senior Data Solutions Engineer to be involved in architecting, building, and leading small and large solutions projects on our Microsoft Azure and Databricks platform. This hands‑on role blends software architecture, design, and development with project management while working with our highly team‑oriented, customer‑focused group who deliver innovative data solutions for our Behavioral Health Treatment organization.

Must be an effective communicator, verbal and written, who can translate business requirements into technical user stories and data solutions deliverables.

As part of our mission to help individuals recover from substance use disorders, you’ll thrive in a supportive, engaging, and fulfilling work environment where your contributions are valued.

Applicants must reside in one of the 13 states CMS operates in: AZ, CO, TX, MI, MT, MN, IN, OH, WI, IL, OR, WA, AK.

Primarily work from home in AZ (available to travel up to 25% as needed).

• Subsidized medical, dental, and vision insurance
• Health savings account
• Short and long‑term disability insurance
• Life insurance
• Paid sick, vacation, and holiday time
• 401K retirement plan with match
• Tuition and CME reimbursement up to 100%
• Employee assistance program to support your mental health and wellness
• Ongoing professional development

• Effective communicator, verbal and written, who can translate business requirements into technical user stories and data solutions deliverables, managing backlogs and collaborating within Agile teams. Collaborate with stakeholders across clinical, operational, and executive teams to ensure delivery aligns with goals and compliance (e.g., HIPAA).
• Design and deliver modern data pipelines, automation workflows, and system integrations using Azure services including but not limited to Azure SQL, Azure Databricks, Data Lake, Data Factory, API services, Logic Apps, Functions, Power BI, Fabric, and other tools.
• Proficient in SQL, Python, Scala and use other data and software development tools.
• Support a major Data warehouse transformation and integration of data pipelines with an EMR Transition.
• Integrate Azure AI Foundry and machine learning models into real‑world workflows to improve efficiency, insights, and clinical decision‑making.
• Mentor and guide junior engineers while ensuring high standards in cloud security, Dev Ops, and documentation.
• Excellent organizational skills, accuracy, and attention to detail.
• Problem solving, conflict resolution, time management, and strong customer service skills.
• Strong team player comfortable working in a fast‑paced setting.
• Ability to maintain confidentiality to ensure compliance with HIPAA and 42 CFR Part 2.
• Flexible with the ability to work in a continuously changing environment.
• Ability to work flexible hours including nights, weekends, and holidays.

• 10+ years building data solutions on the Microsoft Azure platform using services including Azure SQL, Azure Databricks, Data Lake, Data Factory, API services, Logic Apps, Functions, Power BI, and Fabric.
• 3+ years Azure Databricks development experience.
• 5+ years leading technical projects – small, medium – management, and involvement in larger projects. Experience with agile methodology, gathering requirements, design, building & testing, and go‑live change management.
• Computer Science or technical bachelor’s degree (4 years). Engineering, Data science, or similar.

• AZ‑305:
  Azure Architecture
• DP‑203:
  Microsoft Azure Data Engineer Associate

• Frequent use of a telephone, computer, printer, fax machine and copier.
• Frequent use of the internet and various web browser software.
• Microsoft Office products, including Outlook, Word, Excel, and PowerPoint.
• Frequent use of electronic health record.
• Data and software development tools. Microsoft Azure PaaS services. Ability to write SQL and python scripts and use other data and software development tools.

• Prolonged sitting, standing, frequent bending, stooping, or stretching associated with an office environment.
• Manual dexterity using a calculator and computer keyboard.
• Frequent and prolonged typing and operation of computer, keyboard, and telephones.
• Ability to travel to assigned CMS sites.
• Work from home primarily, but available to travel up to 25% if needed.

• Mid‑Senior level

• Full‑time

• Engineering and Information Technology

• Medical Practices

Referrals increase your chances of interviewing at Community Medical Services by 2x.

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