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Azure Data Engineer Jobs in Tennessee (NOW HIRING)

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

$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

$103K - $139K/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 ...

Medisolv, Inc

$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 ...

Revecore

Senior Data Engineer-JT0224

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 ...

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 ...

Pwc

Data Strategy-Manager

Nashville, TN

$99K - $232K/yr

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

Pwc

GenAI Python Systems Engineer-Manager

Nashville, TN

$99K - $232K/yr

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 ...

First Quality Retail Services

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 ...

Pwc

Data Governance- Manager

Nashville, TN

$99K - $232K/yr

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

Pwc

Data Engineer - Senior Associate

Nashville, TN

$77K - $202K/yr

... and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions - Leveraging Apache Airflow and ...

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All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Tennessee

Azure Data Engineer information

See Tennessee salary details

$40.4K

$117.7K

$161.1K

How much do azure data engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for azure data engineer in Tennessee is $117,733.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $124,800.00 per year, depending on experience, location, and employer.

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

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

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

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What are Azure Data Engineers?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.
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 are popular job titles related to Azure Data Engineer jobs in Tennessee? For Azure Data Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Azure Data Engineer jobs in Tennessee look for? The top searched job categories for Azure Data Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Azure Data Engineer jobs? Cities in Tennessee with the most Azure Data Engineer job openings:
Azure Data Engineer jobs near you

Senior Data Engineer

Intellivo

Memphis, TN • On-site

$95K - $129K/yr

Full-time

Posted 10 hours 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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