Phoenix Staff
Phoenix, Arizona
Job DescriptionJob Description Title: Network Engineer Location: Phoenix, AZ Type: Full-Time Permanent Compensation: $110,000-140,000 This role supports the design, operation, and evolution of enterprise and campus network environments across physical and cloud-based infrastructure. You'll work hands-on with LAN, WAN, and wireless networks while partnering with internal teams and vendors to deliver reliable, secure connectivity. The role blends technical execution, mentoring, and lifecycle planning in a fast-moving environment that values continuous learning. Your role: Design, implement, and support LAN, WAN, and WLAN environments across campus, data center, and cloud platforms. Manage and troubleshoot routing, switching, wireless, VPN, firewall, and load-balancing technologies in complex environments. Lead network design and redesign efforts for campus buildings and distributed locations. Collaborate with internal stakeholders and external vendors to evaluate requirements, review solutions, and execute network projects. Review vendor proposals and contribute recommendations for new builds, upgrades, and lifecycle planning. Mentor junior network administrators and provide technical guidance during troubleshooting and project work. Document network designs, configurations, and operational standards to support long-term stability. Present technical designs and recommendations to technical and non-technical audiences using diagrams and visual tools. Participate in on-call rotation and provide after-hours support to maintain 24/7 network availability. What you've got: Bachelor's degree in Computer Science, Information Systems, or a related technical field, or equivalent professional experience. Five or more years of hands-on experience in network administration or engineering roles. Strong experience with routing and switching protocols including TCP/IP, OSPF, BGP, EIGRP, MPLS, and SD-WAN. Experience supporting campus and data center networking technologies in enterprise environments Working knowledge of wireless networking, VPN technologies, firewalls, and load balancers. Familiarity with network monitoring, troubleshooting tools, and packet capture analysis. Experience working with common enterprise networking hardware and platforms. Ability to work evenings, weekends, and holidays as needed and participate in on-call rotation. Willingness to travel between campuses regularly, with occasional regional travel. Exposure to cloud networking and hybrid environments preferred. Relevant certifications such as CCNA, CCNP, ITIL Foundation, or cloud fundamentals certifications preferred. To find more great tech-centric jobs, please visit .
Job DescriptionJob Description Title: Network Engineer Location: Phoenix, AZ Type: Full-Time Permanent Compensation: $110,000-140,000 This role supports the design, operation, and evolution of enterprise and campus network environments across physical and cloud-based infrastructure. You'll work hands-on with LAN, WAN, and wireless networks while partnering with internal teams and vendors to deliver reliable, secure connectivity. The role blends technical execution, mentoring, and lifecycle planning in a fast-moving environment that values continuous learning. Your role: Design, implement, and support LAN, WAN, and WLAN environments across campus, data center, and cloud platforms. Manage and troubleshoot routing, switching, wireless, VPN, firewall, and load-balancing technologies in complex environments. Lead network design and redesign efforts for campus buildings and distributed locations. Collaborate with internal stakeholders and external vendors to evaluate requirements, review solutions, and execute network projects. Review vendor proposals and contribute recommendations for new builds, upgrades, and lifecycle planning. Mentor junior network administrators and provide technical guidance during troubleshooting and project work. Document network designs, configurations, and operational standards to support long-term stability. Present technical designs and recommendations to technical and non-technical audiences using diagrams and visual tools. Participate in on-call rotation and provide after-hours support to maintain 24/7 network availability. What you've got: Bachelor's degree in Computer Science, Information Systems, or a related technical field, or equivalent professional experience. Five or more years of hands-on experience in network administration or engineering roles. Strong experience with routing and switching protocols including TCP/IP, OSPF, BGP, EIGRP, MPLS, and SD-WAN. Experience supporting campus and data center networking technologies in enterprise environments Working knowledge of wireless networking, VPN technologies, firewalls, and load balancers. Familiarity with network monitoring, troubleshooting tools, and packet capture analysis. Experience working with common enterprise networking hardware and platforms. Ability to work evenings, weekends, and holidays as needed and participate in on-call rotation. Willingness to travel between campuses regularly, with occasional regional travel. Exposure to cloud networking and hybrid environments preferred. Relevant certifications such as CCNA, CCNP, ITIL Foundation, or cloud fundamentals certifications preferred. To find more great tech-centric jobs, please visit .
Phoenix Staff
Phoenix, Arizona
Job DescriptionJob Description Title: Senior Data & AI Engineer Location: Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a Senior Data & AI Engineer to lead the design and delivery of secure, scalable data and AI solutions within complex healthcare environments. The position focuses on building modern data platforms, integrating diverse clinical and claims datasets, and operationalizing machine learning models that improve cost, quality, and patient outcomes. Your role Design, implement, and optimize data platforms using Snowflake and Microsoft Fabric, including Lakehouses, Warehouses, OneLake, and engineering pipelines. Build and maintain scalable ingestion frameworks for batch and streaming data sources such as APIs, ADLS, SFTP, and event streams with full lineage and governance. Develop secure data environments that comply with HIPAA and PHI requirements using role-based access, masking, tokenization, and de-identification. Create conceptual, logical, and physical data models using dimensional, normalized, and data vault approaches. Transform and normalize structured and unstructured healthcare data including claims, eligibility, enrollment, provider, and clinical documentation. Integrate and harmonize data using FHIR, HL7, X12/EDI 837/835, NCPDP, and CMS standards across payer, provider, EHR, and HIE systems. Build and deploy machine learning pipelines for risk modeling, utilization forecasting, fraud detection, quality measurement, and care gap analysis. Operationalize models with strong MLOps practices including versioning, CI/CD, monitoring, and drift detection. Implement data cataloging, metadata management, lineage tracking, and quality validation using tools such as Microsoft Purview or equivalent. Monitor and optimize pipeline performance, cost, and reliability across Snowflake and Fabric environments. Collaborate with clinicians, actuaries, product teams, and analysts to translate business needs into scalable technical solutions. Document architecture, data mappings, and design standards while mentoring engineers and contributing to enterprise best practices. What you've got 8+ years of experience in data engineering or analytics with at least 5 years of hands-on Snowflake expertise including virtual warehouses, tasks, streams, Snowpipe, RBAC, masking, and data sharing. 2+ years of experience with Microsoft Fabric including OneLake, Lakehouses, Warehouses, Dataflows Gen2, Notebooks, and Pipelines. Advanced SQL skills with strong experience in ETL/ELT development using Python, dbt, Dataflows, or Fabric/ADF pipelines. Deep knowledge of healthcare data standards including CMS datasets, FHIR, HL7, X12/EDI, provider data, eligibility, and claims processing. Strong data modeling experience including dimensional modeling, SCD types, surrogate keys, 3NF, and data vault methodologies. Experience building and deploying machine learning solutions using tools such as scikit-learn, PyTorch, TensorFlow, Azure ML, or Fabric ML. Practical experience managing HIPAA compliance, PHI handling, auditing, and secure access controls within cloud data environments. Experience working with both structured data formats such as Parquet and CSV and unstructured data such as clinical notes and PDFs. Strong communication skills with the ability to produce mapping specifications, lineage documentation, and present technical trade-offs clearly. Preferred: Experience with Epic or Cerner integrations, HEDIS or risk adjustment programs, MLOps tools such as MLflow or GitHub Actions, Power BI semantic modeling, and relevant Snowflake or Microsoft certifications. To find more great tech-centric jobs, please visit .
Job DescriptionJob Description Title: Senior Data & AI Engineer Location: Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a Senior Data & AI Engineer to lead the design and delivery of secure, scalable data and AI solutions within complex healthcare environments. The position focuses on building modern data platforms, integrating diverse clinical and claims datasets, and operationalizing machine learning models that improve cost, quality, and patient outcomes. Your role Design, implement, and optimize data platforms using Snowflake and Microsoft Fabric, including Lakehouses, Warehouses, OneLake, and engineering pipelines. Build and maintain scalable ingestion frameworks for batch and streaming data sources such as APIs, ADLS, SFTP, and event streams with full lineage and governance. Develop secure data environments that comply with HIPAA and PHI requirements using role-based access, masking, tokenization, and de-identification. Create conceptual, logical, and physical data models using dimensional, normalized, and data vault approaches. Transform and normalize structured and unstructured healthcare data including claims, eligibility, enrollment, provider, and clinical documentation. Integrate and harmonize data using FHIR, HL7, X12/EDI 837/835, NCPDP, and CMS standards across payer, provider, EHR, and HIE systems. Build and deploy machine learning pipelines for risk modeling, utilization forecasting, fraud detection, quality measurement, and care gap analysis. Operationalize models with strong MLOps practices including versioning, CI/CD, monitoring, and drift detection. Implement data cataloging, metadata management, lineage tracking, and quality validation using tools such as Microsoft Purview or equivalent. Monitor and optimize pipeline performance, cost, and reliability across Snowflake and Fabric environments. Collaborate with clinicians, actuaries, product teams, and analysts to translate business needs into scalable technical solutions. Document architecture, data mappings, and design standards while mentoring engineers and contributing to enterprise best practices. What you've got 8+ years of experience in data engineering or analytics with at least 5 years of hands-on Snowflake expertise including virtual warehouses, tasks, streams, Snowpipe, RBAC, masking, and data sharing. 2+ years of experience with Microsoft Fabric including OneLake, Lakehouses, Warehouses, Dataflows Gen2, Notebooks, and Pipelines. Advanced SQL skills with strong experience in ETL/ELT development using Python, dbt, Dataflows, or Fabric/ADF pipelines. Deep knowledge of healthcare data standards including CMS datasets, FHIR, HL7, X12/EDI, provider data, eligibility, and claims processing. Strong data modeling experience including dimensional modeling, SCD types, surrogate keys, 3NF, and data vault methodologies. Experience building and deploying machine learning solutions using tools such as scikit-learn, PyTorch, TensorFlow, Azure ML, or Fabric ML. Practical experience managing HIPAA compliance, PHI handling, auditing, and secure access controls within cloud data environments. Experience working with both structured data formats such as Parquet and CSV and unstructured data such as clinical notes and PDFs. Strong communication skills with the ability to produce mapping specifications, lineage documentation, and present technical trade-offs clearly. Preferred: Experience with Epic or Cerner integrations, HEDIS or risk adjustment programs, MLOps tools such as MLflow or GitHub Actions, Power BI semantic modeling, and relevant Snowflake or Microsoft certifications. To find more great tech-centric jobs, please visit .