Senior Machine Learning Engineer Jobs in Memphis, TN

Job Summary:
Intellivo is a company focused on transforming raw data into structured intelligence signals. They are seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and platform infrastructure within a medallion architecture, while ensuring compliance and data governance across healthcare, legal, and insurance data.
Responsibilities:
• Design and build data ingestion pipelines from multiple structured and unstructured sources including healthcare claims, P&C insurance data, and legal filings into the Bronze layer of the medallion architecture.
• Optimize ingestion workflows for reliability, throughput, and compliance across regulated production environments.
• Implement error handling, retry logic, and dead-letter patterns to ensure pipeline resilience.
• Develop Silver layer transformation logic including normalization, deduplication, entity resolution, and schema enforcement within Microsoft Fabric and OneLake.
• Build Gold layer aggregations and enriched datasets that support ML scoring models and embedded analytics reporting.
• Maintain Feature Store pipelines that produce machine learning-ready feature sets for model training and inference.
• Enforce data contractual constraints from third-party data providers, including requirements for stateless processing and restrictions on data persistence or model training.
• Implement multi-tenant data isolation patterns including partitioning, access controls, and governed data handling across a large number of client contracts.
• Document data lineage, transformations, and data contracts to support governance, audit readiness, and operational clarity.
• Build and maintain data quality validation scripts to detect schema drift, completeness gaps, and business-rule violations across pipeline stages.
• Implement monitoring on pipeline health, data freshness, and operational exceptions to maintain high-confidence production data.
• Establish alerting and escalation processes for pipeline failures and data anomalies.
• Partner with ML Engineering and Data Science to deliver features that support model retraining, scoring pipelines, and identification engine capabilities.
• Collaborate with Software Engineering, Analytics, and business stakeholders to translate operational needs into reliable, production-ready data solutions.
• Contribute to architectural decisions and technical documentation that support the broader data platform strategy.
Qualifications:
Required:
• B.S. or B.A. in Computer Science, Information Systems, Mathematics, or a related field.
• 7+ years of professional data engineering experience, preferably within Azure-based or Microsoft Fabric environments.
• Hands-on experience designing enterprise data pipelines, ETL/ELT workflows, and medallion or lakehouse architecture patterns.
• Strong programming skills in Python, with advanced SQL experience and data quality validation logic.
• Experience with Microsoft Fabric, OneLake, Azure Data Factory, or equivalent cloud data orchestration tools.
• Working knowledge of CI/CD practices for data pipelines and infrastructure-as-code concepts.
• Demonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, or similar) to accelerate pipeline development, code generation, and debugging workflows.
Preferred:
• Familiarity with healthcare data formats (claims, eligibility, EDI 837/835) and HIPAA compliance requirements.
• Experience with multi-tenant data architectures and governed data handling in regulated environments.
• Exposure to ML feature engineering, Feature Store design, or data pipelines supporting model training workflows.
• Experience with dbt, PySpark, or similar transformation frameworks.
Company:
Recovery Intelligence for health plans. Intellivo detects more reimbursement opportunities with no member abrasion. Founded in 1999, the company is headquartered in Memphis, USA, with a team of 201-500 employees. The company is currently Growth Stage.