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Internship Microsoft Azure Data Engineer Jobs in Tennessee

Intellivo

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

Senior Data Engineer Role Summary The Senior Data Engineer is responsible for designing, building ... Experience with Microsoft Fabric, OneLake, Azure Data Factory, or equivalent cloud data ...

Intellivo

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

Senior Data Engineer Role Summary The Senior Data Engineer is responsible for designing, building ... Experience with Microsoft Fabric, OneLake, Azure Data Factory, or equivalent cloud data ...

Intellivo

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

Senior Data Engineer Role Summary The Senior Data Engineer is responsible for designing, building ... Experience with Microsoft Fabric, OneLake, Azure Data Factory, or equivalent cloud data ...

Deloitte

Azure CMS Engineer

Hermitage, TN · On-site

$48.25 - $59.75/hr

... Microsoft Entra ID and Role-Based Access Control (RBAC). • Conduct regular vulnerability ... data consistency and availability. • Participate in assessments and audits of existing Azure ...

Parallon

Staff Data Engineer

Franklin, TN · On-site

Google Cloud Certified Professional Data Engineer Preferred or Microsoft Certified: Azure Data Engineer or AWS Certified Data Analytics preferred Parallon, offers a total rewards package that ...

Parallon

Staff Data Engineer

Nashville, TN · On-site

Google Cloud Certified Professional Data Engineer Preferred or Microsoft Certified: Azure Data Engineer or AWS Certified Data Analytics preferred Parallon, offers a total rewards package that ...

Parallon

Staff Data Engineer

Murfreesboro, TN · On-site

Google Cloud Certified Professional Data Engineer Preferred or Microsoft Certified: Azure Data Engineer or AWS Certified Data Analytics preferred Parallon, offers a total rewards package that ...

Parallon

Staff Data Engineer

Lebanon, TN · On-site

Google Cloud Certified Professional Data Engineer Preferred or Microsoft Certified: Azure Data Engineer or AWS Certified Data Analytics preferred Parallon, offers a total rewards package that ...

Intellivo

Senior Data Engineer

Memphis, TN · On-site

$103K - $140K/yr

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 ...

Wellpath

Data Engineering Manager

Franklin, TN · On-site

Working knowledge of Microsoft Azure Data platforms in support of hybrid environments. * Experience ... Familiarity with modern data engineering tools such as Databricks, Delta Lake, or Snowflake ...

Merican

Net Azure Developer

Knoxville, TN · On-site

$45.25 - $56.25/hr

Job Role: .Net Azure Developer Location: Knoxville, TN Duration: Long Term Contract Work Mode ... Experience with Microsoft Azure, including key services like: * Azure App Services, Azure Functions ...

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Internship Microsoft Azure Data Engineer information

What does an internship Microsoft Azure Data Engineer do?

An Internship Microsoft Azure Data Engineer assists in designing, building, and maintaining data solutions on the Microsoft Azure cloud platform. Interns typically work under the supervision of experienced engineers to help manage data pipelines, ensure data quality, and implement data storage solutions. They gain hands-on experience with Azure tools such as Azure Data Factory, Azure SQL Database, and Azure Databricks while learning best practices in cloud data engineering. This role is ideal for students or recent graduates looking to start a career in cloud-based data management.

What are the key skills and qualifications needed to thrive as an internship Microsoft Azure Data Engineer?

To thrive as an Internship Microsoft Azure Data Engineer, you need foundational knowledge in data modeling, SQL, and cloud computing concepts, often supported by coursework in computer science or related fields. Familiarity with Microsoft Azure services such as Azure Data Factory, Azure SQL Database, and Azure Databricks, as well as pursuing Microsoft Certified: Azure Data Engineer Associate certification, is highly valuable. Strong problem-solving skills, collaboration, and effective communication help interns excel in team environments and adapt quickly to new challenges. These skills and qualifications are essential for supporting data-driven solutions, ensuring project success, and building a solid foundation for a future career in cloud data engineering.

What types of projects and responsibilities can an intern expect as a Microsoft Azure Data Engineer?

As a Microsoft Azure Data Engineer intern, you can expect to work on real-world projects that involve designing, implementing, and maintaining data solutions using Azure services such as Azure Data Factory, Azure SQL Database, and Azure Databricks. Typical responsibilities include assisting with data pipeline development, data migration, and data transformation tasks under the guidance of experienced engineers. You will also collaborate closely with data analysts, software developers, and business stakeholders to understand data requirements and ensure solutions meet business needs. This role provides hands-on experience with cloud technologies and exposes you to industry best practices in data engineering within collaborative, agile team environments.

What are the most commonly searched types of Microsoft Azure Data Engineer jobs in Tennessee?

The most popular types of Microsoft Azure Data Engineer jobs in Tennessee are:

What are popular job titles related to Internship Microsoft Azure Data Engineer jobs in Tennessee?

For Internship Microsoft Azure Data Engineer jobs in Tennessee, the most frequently searched job titles are:

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The top searched job categories for Internship Microsoft Azure Data Engineer jobs in Tennessee are:

Internship Microsoft Azure Data Engineer jobs near you
Infographic showing various Internship Microsoft Azure Data Engineer job openings in Tennessee as of August 2026, with employment types broken down into 61% Full Time, and 39% Contract. Highlights an 75% In-person, and 25% Remote job distribution.

Senior Data Engineer

Intellivo

Memphis, TN • On-site

$95K - $129K/yr

Full-time

Re-posted 5 days ago

Job description

Senior Data Engineer
Role Summary
The Senior Data Engineer is responsible for designing, building, and optimizing scalable data pipelines and platform infrastructure within a medallion architecture (Bronze, Silver, Gold) on Microsoft Fabric and OneLake. This role delivers enterprise-grade ingestion, transformation, and enrichment solutions that convert raw healthcare, legal, and insurance data into structured intelligence signals used for identification scoring, analytics, and operational reporting.
The role requires deep experience with cloud data platforms, strong Python and SQL skills, and the ability to operate in a regulated healthcare environment with strict HIPAA compliance and multi-tenant data isolation requirements across a large portfolio of client contracts. This person will work closely with Data Science, ML Engineering, and Software Engineering teams to ensure reliable, governed, and performant data delivery across the organization.
Core Responsibilities
  • Data Ingestion Pipeline Development
    • 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.
  • Medallion Architecture and Transformation
    • 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.
  • Data Governance and Compliance
    • 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.
  • Data Quality and Monitoring
    • 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.
  • Cross-Functional Collaboration
    • 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.

Professional Skills
  • Highly organized with the ability to manage multiple concurrent technical workstreams.
  • Critical thinker with strong problem-solving ability and attention to detail.
  • Clear communicator, comfortable working asynchronously with distributed teams.
  • Self-directed with a track record of driving projects through completion without constant oversight.

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