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Internship Azure Data Engineer Jobs in Tennessee

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 ...

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 ...

Senior Data Engineer

Franklin, TN · Remote

$102K - $138K/yr

Strong experience with Azure Cloud services is required, including hands-on work with Azure Synapse, Azure Data Lake Storage Gen2, Azure DevOps Pipelines, and Power BI. * Proven ability to design and ...

$99K - $119K/yr

As a Data Engineer/Analyst, you will work closely with Medisolv clients to extract, transform and ... Work with modern Azure-based technologies and contribute to data-driven and AI-enhanced initiatives ...

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 ...

Principal Data Engineer

Goodlettsville, TN

$107K - $129K/yr

Company Overview A Principal Data Engineer is responsible for expanding and optimizing data and ... Airflow, Dataflow, Composer, etc. • Experience with GCP, Snowflake, Azure cloud services: BQ ...

Principal Data Engineer

Goodlettsville, TN · On-site

$107K - $129K/yr

Company Overview A Principal Data Engineer is responsible for expanding and optimizing data and ... Airflow, Dataflow, Composer, etc. • Experience with GCP, Snowflake, Azure cloud services: BQ ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Sr. Data Engineer

Memphis, TN · On-site +1

$94K - $128K/yr

Our goal is to empower progress for maintenance managers, engineers, contractors, and all those ... Utilize Azure SQL and Azure Data Factory solutions to develop pipelines Kele Companies offers all ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Sr. Data Engineer

Memphis, TN

$94K - $128K/yr

Our goal is to empower progress for maintenance managers, engineers, contractors, and all those ... Utilize Azure SQL and Azure Data Factory solutions to develop pipelines Kele Companies offers all ...

Data Engineer

Knoxville, TN · Hybrid

$109K - $131K/yr

Join a hybrid Data Engineer opportunity focused on building and improving modern big data solutions ... Azure SQLDW, or GCP BigQuery. * Experience with AWS data platform services. * Ability to translate ...

Data Engineer

Afton, TN · On-site +1

$100K - $120K/yr

We are seeking a Data Engineer for our First Quality Enterprises, LLC working remotely from the ... Strong proficiency in SQL, ADF, Azure Databricks or any other ETL tools. * Deep understanding of ...

Data Governance- Manager

Nashville, TN · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Data Engineer

White House, TN

$110K - $132K/yr

Position Summary VantageWorks is seeking a Data Engineer to help build and support the data ... Experience with a cloud data platform such as Microsoft Fabric, Databricks, Snowflake, Azure ...

Data Engineer

White House, TN · On-site

$110K - $132K/yr

Position Summary VantageWorks is seeking a Data Engineer to help build and support the data ... Azure Synapse, or equivalent. • Experience building ETL/ELT pipelines. • Experience integrating ...

Showing results 21-40

Internship Azure Data Engineer information

What kinds of projects and technologies can I expect to work with during an internship Azure Data Engineer?

As an Azure Data Engineer intern, you'll typically gain hands-on experience with cloud data solutions, such as building and managing data pipelines using Azure Data Factory, integrating data sources with Azure Databricks or Synapse Analytics, and working with Azure SQL databases. Interns often participate in real-world projects like data migration, data cleansing, and developing dashboards for business insights. You will likely collaborate closely with data scientists, software developers, and business analysts, learning best practices for data security, scalability, and performance in a cloud environment.

What does an internship Azure Data Engineer do?

An Internship Azure Data Engineer assists in designing, building, and maintaining data solutions using Microsoft Azure technologies. Responsibilities typically include working with data pipelines, cloud databases, and tools such as Azure Data Factory, Azure SQL Database, and Azure Databricks. Interns often help with data integration, transformation, and storage tasks, as well as collaborating with senior engineers and stakeholders to support data-driven projects. This role provides valuable exposure to cloud computing, big data, and the practical application of data engineering concepts.

What is the difference between Internship Azure Data Engineer vs Data Analyst Intern?

AspectInternship Azure Data EngineerData Analyst Intern
Required CredentialsBasic knowledge of Azure, SQL, and data engineering conceptsBasic understanding of data analysis, Excel, and SQL
Work EnvironmentCloud platforms, data pipelines, and database managementData visualization, reporting, and data interpretation
Employer & Industry UsageTech companies, cloud service providers, data-driven organizationsBusiness, marketing, finance sectors, and consulting firms

Internship Azure Data Engineer roles focus on cloud-based data pipeline development and management using Azure tools, while Data Analyst Internships emphasize data interpretation and reporting. Both roles are entry-level, often require SQL knowledge, and serve data-driven industries, but they differ in technical focus and daily tasks.

What are the key skills and qualifications needed to thrive as an internship Azure Data Engineer, and why are they important?

To thrive as an Internship Azure Data Engineer, you need a solid understanding of data management concepts, SQL, and a background in computer science or a related field. Familiarity with Microsoft Azure services like Azure Data Factory, Azure SQL Database, and tools such as Power BI is typically required, along with a willingness to pursue certifications like Microsoft Certified: Azure Data Engineer Associate. Strong analytical thinking, problem-solving skills, and effective teamwork set candidates apart in this role. These skills are essential to efficiently design, implement, and maintain data solutions that support business intelligence and decision-making in cloud environments.

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

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

What job categories do people searching Internship Azure Data Engineer jobs in Tennessee look for?

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

What cities in Tennessee are hiring for Internship Azure Data Engineer jobs?

Cities in Tennessee with the most Internship Azure Data Engineer job openings:

Senior Data Engineer

Intellivo

Memphis, TN • On-site

$95K - $129K/yr

Full-time

Re-posted 29 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.