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Data Engineer Jobs in Tennessee (NOW HIRING)

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Data Engineer

Brentwood, TN

$108K - $130K/yr

OPPORTUNITY We are seeking an experienced Data Engineer with 2-3+ years of hands-on experience to design, build, and maintain robust data solutions within our Azure/Microsoft-centric technology stack.

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 Eastern or Central Time Zone. The Enterprise Data and Analytics team provides strategic direction ...

AllianceBernstein Holding L.P.

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 ...

AllianceBernstein

Data Engineer

Nashville, TN

$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 ...

Nissan Motor Co., Ltd.

Data Engineer

Franklin, TN · On-site

$113K - $135K/yr

The Data Engineer builds and maintains reliable, scalable data pipelines that make data available for analytics, reporting, and data science. A Day in the Life: * Design, build, and maintain data ...

Nissan Motor Manufacturing UK

Data Engineer

Franklin, TN · Hybrid

$113K - $135K/yr

The Data Engineer builds and maintains reliable, scalable data pipelines that make data available for analytics, reporting, and data science. A Day in the Life: * Design, build, and maintain data ...

Downtown Music Publishing

Data Engineer

Nashville, TN · On-site +1

$135K/yr

Data Engineer Downtown Music Publishing is seeking a Data Engineer to be a key contributor to the design, development, and management of our global music data platform and ecosystem that spans ...

Medisolv, Inc

$99K - $119K/yr

As a Data Engineer/Analyst, you will work closely with Medisolv clients to extract, transform and load clinical, financial and administrative healthcare data and health plan data to feed our suite of ...

Clayton Homes

Data Engineer

Maryville, TN · On-site

$99K - $119K/yr

Position Summary The Data Engineer role is responsible for designing, building, and maintaining scalable data and semantic layers, implementing robust data quality checks for assigned data products ...

Clayton Homes

Data Engineer

Maryville, TN

$99K - $119K/yr

Position Summary The Data Engineer role is responsible for designing, building, and maintaining scalable data and semantic layers, implementing robust data quality checks for assigned data products ...

Bespoke Labs

Data Engineer

Murfreesboro, TN · On-site

$100K - $121K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Jackson, TN · On-site

$100K - $120K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Chattanooga, TN · On-site

$104K - $125K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Memphis, TN · On-site

$102K - $122K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Knoxville, TN · On-site

$109K - $131K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Stifel

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

The Data Engineer III is responsible for designing, developing, and maintaining data pipelines and infrastructure on the AWS platform. The Data Engineer III works with large volumes of data, ensuring ...

Stifel

Data Engineer III

Memphis, TN

$119K - $143K/yr

The Data Engineer III works with large volumes of data, ensuring its quality, reliability, and accessibility. Tasks may include data ingestion, transformation, storage, data sharing and consumption ...

Stifel

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

The Data Engineer III works with large volumes of data, ensuring its quality, reliability, and accessibility. Tasks may include data ingestion, transformation, storage, data sharing and consumption ...

FOCUSPOINT

Senior Data Engineer (Remote)

Nashville, TN · On-site

$110K - $132K/yr

Senior Data Engineer (Azure / Databricks) Location: Remote Employment Type: Full time Compensation: Commensurate with experience FocusPoint is actively building a pipeline of Senior Data Engineers ...

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All JobsData Engineer JobsData Engineer Jobs in Tennessee

Data Engineer information

See Tennessee salary details

$40.4K

$117.7K

$161.1K

How much do data engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Tennessee? The most popular types of Data Engineer jobs in Tennessee are:
What are popular job titles related to Data Engineer jobs in Tennessee? For Data Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Tennessee look for? The top searched job categories for Data Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Data Engineer jobs? Cities in Tennessee with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in TN? For Data Engineer jobs in TN, the most frequently searched job titles are:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Tennessee as of July 2026, with employment types broken down into 66% Full Time, and 34% Contract. Highlights an 100% In-person job distribution, with an average salary of $117,733 per year, or $56.6 per hour.
Data Engineer

Data Engineer

Career Search

Brentwood, TN

$108K - $130K/yr

Full-time

Posted 18 days ago

Job description

OPPORTUNITY

We are seeking an experienced Data Engineer with 2-3+ years of hands-on experience to design, build, and maintain robust data solutions within our Azure/Microsoft-centric technology stack. The ideal candidate will thrive in a collaborative yet independent work environment, delivering high-quality analytics solutions that drive business insights and decision-making.

SCOPE OF WORK

  • Design and implement scalable data models and pipelines using modern data engineering practices
  • Develop and maintain production-grade analytics solutions within Azure ecosystem
  • Build comprehensive dashboards and reports using Power BI to support business stakeholders
  • Collaborate with cross-functional teams to translate business requirements into technical solutions
  • Optimize SQL queries and data processing workflows for performance and reliability
  • Support and enhance existing data infrastructure while implementing new analytics capabilities
  • Participate in code reviews and maintain high standards for data quality and documentation
  • Respond quickly to critical data issues and provide solutions under tight deadlines

IDEAL CANDIDATE PROFILE

Required Qualifications

  • 2-3+ years of experience in analytics engineering, data engineering, or similar role
  • Advanced SQL proficiency with experience in complex query optimization and database design
  • Python programming skills for data manipulation, automation, and analytics
  • Power BI expertise including dashboard development, DAX, and data visualization best practices
  • Azure cloud platform experience including Azure Data Factory, Azure SQL, and related services
  • Data modeling experience with dimensional modeling, star/snowflake schemas, and ETL/ELT processes
  • Production environment experience including deployment, monitoring, and maintenance of data systems
  • Strong communication skills with ability to explain technical concepts to non-technical stakeholders
  • Proven ability to work independently and manage multiple priorities effectively
  • Experience working under pressure with quick turnaround requirements

Preferred Qualifications

  • Snowflake and/or Databricks experience with modern cloud data platforms
  • Private equity or financial services background - understanding of investment data, portfolio management, or financial reporting
  • Machine Learning experience including model development, deployment, or MLOps practices
  • Experience with additional Azure services (Synapse, Logic Apps, Power Platform)
  • Knowledge of data governance and compliance frameworks
  • Experience with version control (Git) and CI/CD practices
  • Advanced Python libraries experience (pandas, scikit-learn, etc.)

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