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Contractual Azure Ml Jobs (NOW HIRING)

Senior Data Engineer

Memphis, TN · On-site

$103K - $140K/yr

... ML scoring models and embedded analytics reporting. • Maintain Feature Store pipelines that ... contractual constraints from third-party data providers, including requirements for stateless ...

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

This person will work closely with Data Science, ML Engineering, and Software Engineering teams to ... Enforce data contractual constraints from third-party data providers, including requirements for ...

Manage program financials, forecasting, staffing, subcontractor coordination, and contractual ... Azure) * Large-scale enterprise modernization and open-source transformation initiatives * AI/ML ...

Manage program financials, forecasting, staffing, subcontractor coordination, and contractual ... Azure) * Large-scale enterprise modernization and open-source transformation initiatives * AI/ML ...

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

This person will work closely with Data Science, ML Engineering, and Software Engineering teams to ... Enforce data contractual constraints from third-party data providers, including requirements for ...

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Collaborate with AI Developers and LLMOps/MLOps Engineers to integrate ML models into production ... Experience in Cloud analytics (AWS, Azure, or GCP) with tools such as AWS SageMaker, Azure ...

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Collaborate with AI Developers and LLMOps/MLOps Engineers to integrate ML models into production ... Experience in Cloud analytics (AWS, Azure, or GCP) with tools such as AWS SageMaker, Azure ...

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Collaborate with AI Developers and LLMOps/MLOps Engineers to integrate ML models into production ... Experience in Cloud analytics (AWS, Azure, or GCP) with tools such as AWS SageMaker, Azure ...

AI Data Engineer

Syracuse, NY · On-site

$89K - $95K/yr

... contractual requisites; and external market analyses. Staff Level S5 FLSA Status Exempt Hours ... Familiarity in deploying AI/ML platforms (Azure AI Foundry, Google Vertex, Amazon Bedrock, OpenAI ...

... and contractual obligations. * Lead the Affinitē care gap solution: HEDIS, CMS Core Measures ... Support Affinitē advanced reporting services delivered through Azure PowerBI powered by Azure ...

... and contractual obligations. * Lead the Affinitē care gap solution: HEDIS, CMS Core Measures ... Support Affinitē advanced reporting services delivered through Azure PowerBI powered by Azure ...

Advanced knowledge of cloud platforms (AWS, Azure, GCP) including model hosting, distributed ... Familiarity with ML experiment tracking and model versioning tools such as MLflow or Weights ...

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Contractual Azure Ml information

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How much do contractual azure ml jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for contractual azure ml in the United States is $70.48, according to ZipRecruiter salary data. Most workers in this role earn between $61.06 and $79.57 per hour, depending on experience, location, and employer.
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Senior Data Engineer

Intellivo

Memphis, TN • On-site

$103K - $140K/yr

Full-time

Re-posted 23 days ago


Job description

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.