1

Azure Data Engineer Jobs in Tennessee (NOW HIRING)

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 ...

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 ...

... programming languages. * Exposure to predictive analytics, machine learning, or statistical modeling. * Experience with cloud-based data platforms such as: * Snowflake * Databricks * Azure Data ...

... programming languages. * Exposure to predictive analytics, machine learning, or statistical modeling. * Experience with cloud-based data platforms such as: * Snowflake * Databricks * Azure Data ...

Software Engineering Advisor - eviCore

Franklin, TN · On-site

$113K - $135K/yr

As a Software Engineering Advisor, you will play a critical role in building and optimizing ... Experience implementing Azure-based data solutions (ADLS, Azure Databricks, Synapse, Azure Data ...

Software Engineering Advisor - eviCore

Franklin, TN · Remote

$113K - $135K/yr

As a Software Engineering Advisor, you will play a critical role in building and optimizing ... Experience implementing Azure-based data solutions (ADLS, Azure Databricks, Synapse, Azure Data ...

Azure CMS Engineer

Hermitage, TN · On-site

$48.25 - $59.75/hr

... data consistency and availability. • Participate in assessments and audits of existing Azure ... • Use DevOps practices, including Github for version control, to manage cloud. • Working ...

Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

This role is ideal for a data engineer with experience in Snowflake, Fivetran, dbt, Python, and SQL who thrives on ingesting and transforming data from diverse sources, ensuring it is optimized for ...

Microsoft Azure, data engineering, project management, Agile/Scrum, or related technology ... certifications We are an Equal Employment Opportunity Employer We are committed to fostering ...

Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

This role is ideal for a data engineer with experience in Snowflake, Fivetran, dbt, Python, and SQL who thrives on ingesting and transforming data from diverse sources, ensuring it is optimized for ...

Microsoft Azure, data engineering, project management, Agile/Scrum, or related technology ... certifications We are an Equal Employment Opportunity Employer We are committed to fostering ...

Showing results 41-60

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 Aug 6, 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?

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 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 cities in Tennessee are hiring for Azure Data Engineer jobs? Cities in Tennessee with the most Azure Data Engineer job openings:
Infographic showing various Azure Data Engineer job openings in Tennessee 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 $117,733 per year, or $56.6 per hour.

GenAI Python Systems Engineer -Senior Manager

Pwc

Nashville, TN • On-site

$124K - $280K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

25th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.
Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Craft and convey clear, impactful and engaging messages that tell a holistic story.
Apply systems thinking to identify underlying problems and/or opportunities.
Validate outcomes with clients, share alternative perspectives, and act on client feedback.
Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
Deepen and evolve your expertise with a focus on staying relevant.
Initiate open and honest coaching conversations at all levels.
Make difficult decisions and take action to resolve issues hindering team effectiveness.
Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
As part of the Data and Analytics Engineering team you lead the design and implementation of thorough data architecture strategies. As a Director, you drive thought leadership, promote technological advances, and create an environment where people and technology thrive together. This role involves collaborating with business stakeholders to translate data requirements into technical solutions and safeguarding data architecture compliance with governance and security policies.
Responsibilities
- Lead the creation and execution of data architecture strategies
- Drive innovation and thought leadership in data solutions
- Collaborate with stakeholders to align technical solutions with business needs
- Maintain compliance with data governance and security protocols
- Promote an environment where technology and people excel together
- Translate complex data requirements into actionable technical plans
- Oversee the implementation of advanced data technologies
- Facilitate cross-functional collaboration to enhance data architecture
What You Must Have
- Bachelor's Degree
- 8 years of experience
What Sets You Apart
- Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus
- Proficient in Python and structured/unstructured data
- Proficient in SQL and relational databases
- Writing and maintaining FastAPI endpoints for applications
- Understanding AI techniques enhancing LLMs
- Experience in prompt engineering for LLM outputs
- Developing scalable data storage solutions using cloud services
- Designing and managing data warehouses and data lakes
- Implementing IAM roles and policies for cloud platforms

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom