AI and Data Engineer

Rovicare; Tempe (AZ); On-site; USD 150,000 - 190,000; Full time

Job summary

Rovicare seeks an experienced Senior Data & AI Engineer to lead data infrastructure, analytics, and AI/ML initiatives within a healthcare-focused environment. You will design, build, and scale robust data pipelines, integrating CMS, claims/encounters, and FHIR/HL7 datasets while ensuring HIPAA compliance and data security.

You will collaborate with cross-functional teams to translate complex data requirements into scalable production solutions, enabling advanced analytics and responsible ML

Qualifications

• 8+ years in data engineering/analytics.
• 2+ years with Snowflake (compute, storage, streams, RBAC, data sharing).
• 2+ years with Microsoft Fabric including Lakehouses, Notebooks, Pipelines.
• SQL (advanced) and Python for ETL/ELT.
• Experience mapping CMS data, FHIR/HL7, and healthcare datasets.
• Knowledge of HIPAA compliance, PHI handling, and data security.

Responsibilities

• Lead core data infrastructure and analytics initiatives.
• Design, build, and scale data pipelines.
• Integrate CMS, claims/encounters, and FHIR/HL7 data.
• Develop ML models and production monitoring; collaborate cross-functionally.

Skills

Data engineering

SQL

Python (ETL/ELT)

Machine learning concepts

Data security & HIPAA awareness

Stakeholder communication

Tools

Snowflake

Microsoft Fabric

dbt

ADF/Synapse/Fabric Pipelines

Notebooks

Job description

We are seeking an experienced and driven Senior Data & AI Engineer to lead our core data infrastructure, advanced analytics, and AI/ML initiatives. In this role, you will design, build, and scale robust data pipelines, integrate complex healthcare datasets (such as CMS, claims/encounters, and FHIR/HL7), and implement machine learning models while ensuring strict HIPAA compliance and data security. You will collaborate closely with cross-functional teams to translate complex data requirements into scalable production solutions.

Minimum Qualifications

• 8+ years in data engineering/analytics; 5+ years hands-on with Snowflake (compute, storage, virtual warehouses, tasks, streams, Snowpipe, Time Travel, RBAC, row/column masking, data sharing, Dynamic Tables).
• 2+ years with Microsoft Fabric (including OneLake, Lakehouses, Warehouses, Dataflows Gen2, Notebooks, Pipelines; capacity management).
• Data integration & transformation proficiency: SQL (advanced), dbt or Fabric Dataflows/Power Query M, ADF/Synapse/Fabric Pipelines, Python for ETL/ELT.
• Mapping from CMS data (e.g., Medicare datasets, claims/encounters), X12/EDI, FHIR/HL7, provider, and eligibility.
• Experience with structured (tables, CSV, Parquet) and unstructured (clinical notes, PDFs, blobs) data; NLP pipelines (optional but valued).
• Machine learning: feature engineering, model training/evaluation, and deployment (e.g., scikit-learn, PyTorch/TensorFlow, Fabric ML/Notebook, Azure ML); production monitoring.
• Security & compliance: HIPAA, PHI handling, auditing, data residency, BAAs; practical access control in Snowflake/Fabric.
• Strong communication; ability to author mapping specs, lineage docs, and present trade-offs to technical and non-technical stakeholders.