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Data Engineer Jobs in Tennessee (NOW HIRING)

Your Role The Sr. Data Engineer will be an integral member of the IT organization at Honest which ultimately will strive to help those organizations by creating new solutions and integrating with ...

Sr. Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

They are seeking a Sr. Data Engineer who will design, develop, and maintain cloud data lakes and data warehouses to support business requirements, while working with healthcare data sets to improve ...

Engineer, Data II

Chattanooga, TN

$98K - $117K/yr

The Data Engineer II works with new and legacy systems to lead the way for high-quality decisions. The Engineer II contributes to the design and implementation of both relational and NoSQL data ...

Data Engineer - Manager

Nashville, TN · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

AI Data Engineer - Manager

Nashville, TN

$110K - $132K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of ...

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 ...

Engineer, Data II

Chattanooga, TN

$98K - $117K/yr

The Data Engineer II works with new and legacy systems to lead the way for high-quality decisions. The Engineer II contributes to the design and implementation of both relational and NoSQL data ...

Senior Data Engineer

Nashville, TN · On-site

$160K - $220K/yr

Who you are As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to ...

Backend / Data Engineer (TypeScript & PostgreSQL) Location: Hybrid Job Type: Full-Time Summary The Backend / Data Engineer is responsible for designing, developing, and optimizing scalable backend ...

Senior Data Engineer

Nashville, TN · On-site

$160K - $220K/yr

Who you are As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to ...

Who you are As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to ...

Snowflake Data Engineer (AWS)

Nashville, TN · Remote

$110K - $132K/yr

Benefits: * 401(k) Snowflake Data Engineer (AWS Environment) Only TN residents Nashville, TN (Hybrid - Monthly onsite mandatory) Requirements: * 3+ years Snowflake development * 5+ years SQL * Strong ...

Lead Data Engineer

Nashville, TN · Remote

$99K - $130K/yr

OneOncology is seeking a Lead Data Engineer for a full-time role based in Austin, TX, Nashville, TN, or remote. Our team members are all individually motivated, yet collaborative. We maintain a high ...

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Data Engineer information

See Tennessee salary details

$40.4K

$117.7K

$161.1K

How much do data engineer jobs pay per year?

As of Jun 12, 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.

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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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 pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
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:
Infographic showing various Data Engineer job openings in Tennessee as of June 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $117,733 per year, or $56.6 per hour.

$115K - $136K/yr

Full-time

Posted 6 days ago


Job description

Who You Are

You're a collaborative professional, driven by the potential to make a meaningful impact in healthcare. The challenges of healthcare don't deter you-instead, you see them as opportunities to find innovative solutions that benefit the partners, people, and communities we serve. Honest Health's commitment to purpose, innovation, communities, and kindness resonates with you, inspiring you to bring commitment, creativity, and compassion into your work. You're ready to join a team focused on reimagining primary care for a healthier future that benefits all.

Does this sound like you? Let's connect.

Who We Are

At Honest Health, we believe in purpose and partnership to lead the transformation in primary care. Our team of healthcare experts and clinicians collaborates with a range of stakeholders-from health systems, physician organizations, and payers to providers, practices, and patients - to deliver innovative solutions that elevate care, control costs, and support long-term health. Guided by our core values, we're creating a value-driven model that creates lasting benefits for everyone, now and into the future.

For us, that's just an Honest day's work.

Your Role

The Sr. Data Engineer will be an integral member of the IT organization at Honest which ultimately will strive to help those organizations by creating new solutions and integrating with existing solutions to improve efficiencies with the least disruption to existing workflows. This position offers the opportunity to build solutions that focus on the user needs and experience.

Primary Functions of the Sr. Data Engineer Include:

  • Design, develop, and maintain cloud data lakes and data warehouses to support business requirements.

  • Create complex ELT/ETL scripts to perform data integration to data lakes and data warehouses.

  • Work with healthcare data sets and implement backend business logic, databases, APIs, and data workflows.

  • Perform data analysis on healthcare data (medical claims, Rx, CMS) to derive meaningful analysis for business needs.

  • Research emerging cloud-related technologies.

  • Work as part of a development team participating in various development-related meetings, including but not limited to daily stand-up meetings, spring planning, reviews, and commentary.

  • Impact the design of platforms and components.

  • Design and implement solutions to user submitted analysis tasks.

  • Test and address any issues in work and material as well as the work of others.

  • Implement APIs for needed application functions.

  • Work on backlog items as they are being prepared for development.

  • Perform other related responsibilities as assigned.

How You Qualify

You reviewed the Who You Are section of this job posting and immediately felt the need to read on. This makes you a match for our innovative culture. You accept things change quickly in a startup environment and are willing to pivot quickly on priorities.

  • Bachelor's degree in Computer Science, Engineering or related field is required

  • 5+ years of data management/engineering experience

  • 2+ years of experience in cloud data warehouses like Snowflake or Redshift

  • Advanced and hands-on experience with Python, JavaScript, and SQL required

  • 3+ years of experience with AWS for developing applications that include services like S3 or Lambda

  • Proficiency developing end-to-end data management solutions using Talend required

  • Strong knowledge and experience with healthcare data sets and implementations of backend business logic, databases, APIs, and data workflow queries

  • Database CI/CD knowledge is a plus

  • Able to perform code reviews for other developer's work

  • Ability to utilize technical creativity and operate independently

  • Ability to work as a team effectively

  • Ability to manage multiple priorities and demands daily

  • Must be able to work with users at all levels of skills and abilities

  • Works well and is effective in a dynamic, face-paced environment, adaptable to shifting priorities

The base pay range for this role is $115,800.00 - $136,000.00. Compensation takes into account several factors including but not limited to a candidate's experience, education, skills, licensure and certifications, and organizational needs. Base pay is just one piece of the total rewards program offered by Honest. Eligible roles also qualify for short-term incentives and a comprehensive benefits package.

Honest Health is committed to ensuring fairness, opportunity, strong teams, and full integration of team members into the organization. We take proactive steps to ensure all applicants are considered for employment based on merit, without regard to race, color, religion, sex, national origin, disability, Veteran status, or other legally-protected characteristics.Honest Health is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities. Applicants with a disability who require a reasonable accommodation for any part of the application or hiring process should email talent@Honesthealth.com for assistance. Reasonable accommodation will be determined on a case-by-case basis.