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Azure Data Engineer Jobs in Spring Hill, TN (NOW HIRING)

NLB Services

Senior Software Engineer

Franklin, TN · On-site

$121K - $159K/yr

... azure data factory (Mandatory) Preferred : • Analytics • Client Communications • Data Warehouse • Power BI • SnowflakeDB • Good to have experience in Azure Synapse Analytics Company : NLB ...

Ramsey Solutions

Data Engineer

Nashville, TN

$88K - $120K/yr

Designing, developing, and supporting scalable data pipelines and ETL/ELT processes using modern data engineering tools and technologies. * Developing and maintaining trusted dashboards, reports, and ...

Starbucks

data engineer sr- ST; Nashville, TN

Nashville, TN · On-site

$53.75 - $71.25/hr

Now Brewing - Data Engineers sr #tobeapartner From the beginning, Starbucks set out to be a ... Azure or AWS (advanced scope may align to 2+ years) * 1+ years experience with CI/CD tools and ...

Starbucks

data engineer sr- ST; Nashville, TN

Nashville, TN · On-site

$53.75 - $71.25/hr

Now Brewing - Data Engineers sr #tobeapartner From the beginning, Starbucks set out to be a ... Azure or AWS (advanced scope may align to 2+ years) * 1+ years experience with CI/CD tools and ...

Oracle

Principal Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Data Pipeline and Solutions Engineering - Pipeline Design: * Leverages advanced knowledge of ETL processes to design, develop, and optimize automated, scalable, and efficient data pipeline ...

Creative Artists Agency (CAA)

AI - Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

The Role The AI Engineer is a member of a highly motivated CAA Tech team responsible for accelerating the creation of opportunity through the strategic use of data. In this role, you will design and ...

DPR Construction

MLOps Engineer

Nashville, TN

DPR is looking for an experienced Data and MLOps Engineer to join our Data and AI team and work ... Extend existing Azure RBAC strategy by automating role and permission management to reduce manual ...

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Showing results 41-60

All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Spring Hill, TN

Azure Data Engineer information

See Spring Hill, TN salary details

$41.8K

$122K

$166.9K

How much do azure data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for azure data engineer in Spring Hill, TN is $121,972.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $129,300.00 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?

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 is an Azure Data Engineer?

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.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management and analytics.
What cities near Spring Hill, TN are hiring for Azure Data Engineer jobs? Cities near Spring Hill, TN with the most Azure Data Engineer job openings:
Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Spring Hill, TN as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $121,972 per year, or $58.6 per hour.

AI/RPA Engineer

Beacon Specialized Living Services, Inc.

Nashville, TN • On-site

$100K - $125K/yr

Full-time

Posted 15 days ago

Beacon Specialized Living rating

5.5

Company rating: 5.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

165th of 239 rated social care providers

Job description

Position Summary:
This role will be responsible for developing secure, compliant AI infrastructure and reusable frameworks that enable internal teams and external consultants to build and deploy AI agents for Operations, Human Resources, Admissions, and IT, while also supporting advanced LLM-driven clinical and client risk use cases integrated with Beacon's EHR, eMAR, HRIS, CRM, and incident management systems.
Primary Responsibilities:
• Always be compliant with all company and regulatory policies and procedures.
• Design and maintain an enterprise AI Agent framework supporting:
• Task automation
• Data retrieval and summarization
• Workflow orchestration
• Human-in-the-loop approvals
• Build shared services including:
• Prompt management and versioning
• Tool and API integration layers
• Authentication, role-based access, and audit logging
Clinical AI & Client Risk Intelligence
• Develop and support LLM-powered clinical and risk-focused solutions such as:
• Behavioral and incident pattern analysis
• Medication adherence and documentation quality monitoring
• Early-warning indicators for client risk and escalation
• Integrate AI outputs into clinical workflows, dashboards, and alerts.
• Partner with clinical leadership to ensure interpretability and usability of AI insights.
LLM Engineering & MLOps
• Implement and manage LLM integrations including:
• Secure prompt pipelines
• Retrieval-Augmented Generation (RAG) using enterprise data
• Model evaluation and drift monitoring
• Deploy AI services using scalable cloud-native architecture (APIs, containers, CI/CD).
• Optimize performance, cost, and latency across production AI workloads.
Data Integration & Platform Collaboration
• Work with Data Engineering to leverage:
• Microsoft Fabric
• Azure Data Lake
• Power BI semantic models
• Integrate data from:
• EHR and eMAR platforms
Education and Qualifications:
• Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
• 5+ years of experience in software engineering, data engineering, or AI engineering.
• Hands-on experience with:
• LLM APIs and orchestration frameworks
• Prompt engineering and RAG architectures
• API and microservice development

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