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Data Engineering Jobs in Tennessee (NOW HIRING)

DPR Construction

Data Engineering Lead- Finance

Nashville, TN · On-site

$110K - $132K/yr

They are looking for a talented Data Engineer to develop robust data solutions that support business goals, collaborating with business leaders and a global engineering team. Responsibilities : • ...

DPR Construction

Data Engineering Lead- Finance

Nashville, TN · On-site

$110K - $132K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining ...

Owens & Minor

Senior Manager, Data Engineering

Nashville, TN · On-site +1

$140K - $155K/yr

Key Responsibilities Leadership & Team Management - Lead, mentor, and develop a team of data engineers and BI developers -Establishdelivery standards, performance expectations, and career development ...

Career Search

Data Engineer

Brentwood, TN

$108K - $130K/yr

Design and implement scalable data models and pipelines using modern data engineering practices * Develop and maintain production-grade analytics solutions within Azure ecosystem * Build ...

Ascend Federal Credit Union

Data Engineer

Murfreesboro, TN · On-site

$103K - $123K/yr

The role partners closely with engineering, modeling, analytics, and platform stakeholders, and ... Build, maintain, and enhance data pipelines and transformations on the enterprise analytics ...

Ascend Federal Credit Union

Data Engineer

Murfreesboro, TN · On-site

$103K - $123K/yr

The role partners closely with engineering, modeling, analytics, and platform stakeholders, and ... Build, maintain, and enhance data pipelines and transformations on the enterprise analytics ...

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All JobsData Engineering JobsData Engineering Jobs in Tennessee

Data Engineering information

See Tennessee salary details

$41.8K

$149.8K

$221K

How much do data engineering jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data engineering in Tennessee is $149,773.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,200.00 and $154,300.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store 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.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What jobs make $1,000,000 a year?

In data engineering, earning $1,000,000 annually is rare and typically involves senior roles such as lead data engineers or those working in high-paying industries like finance or technology, often with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Most high earners in this field also supplement income through equity, bonuses, or consulting. Such compensation levels are uncommon and usually require a combination of expertise, strategic position, and company size.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Tennessee? The most popular types of Data Engineering jobs in Tennessee are:
What are popular job titles related to Data Engineering jobs in Tennessee? For Data Engineering jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Tennessee look for? The top searched job categories for Data Engineering jobs in Tennessee are:
What cities in Tennessee are hiring for Data Engineering jobs? Cities in Tennessee with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Tennessee as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $149,773 per year, or $72 per hour.
Manager of Data Engineering

Manager of Data Engineering

Thompson Machinery

La Vergne, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

Manager of Data Engineering
ABOUT US
Looking for more than just a job? At Thompson Machinery, we've been powering progress since 1944. We are the go-to Caterpillar dealer for Middle and West Tennessee and North Mississippi. Come join a team where our mission is simple: deliver smart solutions, build lasting partnerships, strengthen the communities we call home and invest in your growth.
WHAT YOU WILL DO
This position is responsible for leading Thompson Machinery's data engineering function and delivering reliable, secure, and scalable data solutions that enable reporting, analytics, and data-driven decision making across the organization. Reporting to the Director of IT, the Data Engineering Manager manages a team of data engineers who primarily build and support solutions using Microsoft Power Platform technologies (including Dataverse and Microsoft Fabric) as well as Microsoft database platforms such as SQL Server. The team is heavily involved in data integration, data security, data warehousing, ETL/ELT processes, and medallion architecture (Bronze/Silver/Gold), and supports Business Intelligence and Analytics teams by developing semantic models and curated datasets. Success in this role requires strong delivery leadership, clear communication, and the ability to collaborate effectively with diverse teams while translating business needs into actionable technical solutions.
ESSENTIAL DUTIES & RESPONSIBLITIES
  • Data Engineering Delivery & Portfolio Execution:
    • Own end-to-end delivery of data engineering initiatives, including integrations, pipelines, warehousing, and semantic model enablement.
    • Establish clear ownership of scope, priorities, timelines, and outcomes; communicate tradeoffs and constraints proactively.
    • Ensure solutions are production-ready with appropriate testing, monitoring, documentation, and support procedures.
  • Modern Data Platform Leadership (Dataverse, Fabric, SQL Server):
    • Lead the design and delivery of data platform solutions leveraging Microsoft Fabric and Dataverse, including lakehouse and warehouse patterns as appropriate.
    • Oversee data warehouse and database engineering practices using Microsoft SQL Server (including performance, reliability, and operational support expectations).
    • Guide team implementation of medallion architecture (Bronze/Silver/Gold), including standards for ingestion, transformation, validation, and curated outputs.
  • Integrations, ETL/ELT, and Data Movement:
    • Lead integration and data movement initiatives across internal and external systems using APIs, connectors, and approved integration patterns.
    • Oversee ETL/ELT pipelines and scheduling, including error handling, logging, alerting, and recovery procedures to meet business SLAs.
    • Partner with vendors and internal teams to coordinate changes that impact interfaces, data schemas, and downstream reporting.
  • Data Security, Governance, and Quality:
    • Ensure data solutions align with Thompson's security requirements, data access controls, and audit expectations across platforms and environments.
    • Establish and enforce standards for data quality, reconciliation, lineage, and documentation to improve trust in reporting and analytics.
    • Coordinate with IT security and infrastructure teams to implement least-privilege access, environment separation, and secure integration endpoints.
  • BI/Analytics Enablement (Semantic Models):
    • Partner with Business Intelligence, reporting, and analytics groups to define data products, curated datasets, and semantic models that meet reporting needs.
    • Ensure semantic models and shared datasets are performant, governed, and aligned to agreed definitions, metrics, and business rules.
  • People Leadership & Team Development:
    • Lead, coach, and develop data engineers; provide role clarity, workload balancing, and growth plans.
    • Foster a culture of collaboration, accountability, delivery discipline, and continuous improvement.
    • Ensure adequate skill coverage and cross-training to reduce single points of failure and support business continuity.
  • Business Partnership & Requirements Consulting:
    • Consult with business stakeholders to understand needs, identify gaps, and define outcomes that can be enabled through data solutions.
    • Translate business requirements into clear technical requirements and delivery plans; ensure alignment on acceptance criteria and change impacts.
    • Work effectively with diverse teams across the company to drive adoption, reduce friction, and ensure solutions fit real-world processes.

WHAT WE EXPECT OF YOU
We all have different backgrounds, yet we all use our unique contributions to provide the highest quality of service.
BASIC QUALIFICATIONS
  • Bachelor's degree in Information Technology, Computer Science, Engineering, Data/Analytics, or a related field (preferred); equivalent combination of education and experience will be considered.
  • 5+ years of progressive experience delivering data engineering solutions (data integration, pipelines, warehousing, and analytics enablement) and leading or mentoring technical teams.
  • Strong understanding of modern data engineering concepts including ETL/ELT, data warehousing, medallion architecture (Bronze/Silver/Gold), and downstream reporting dependencies.
  • Demonstrated experience with Microsoft data and platform technologies such as Microsoft Fabric and Dataverse, and with Microsoft SQL Server (data modeling, performance, and operational support).
  • Experience delivering integrations with internal and external systems using APIs and approved integration patterns, with attention to security and reliability.
  • Proven ability to consult with business stakeholders, identify gaps, and translate needs into clear requirements and implementable data solutions.
  • Strong leadership, collaboration, and communication skills, with the ability to work effectively across diverse teams and audiences (technical and non-technical).
  • Demonstrated strength in IT delivery practices, including intake/prioritization, estimation, dependency management, risk management, and transparent status reporting.
  • Preferred: experience with semantic model development to support BI/reporting teams and familiarity with IBM i / DB2 environments.

WHAT'S IN IT FOR YOU
At Thompson Machinery, we believe that great benefits are more than just perks- they're essential for employee well-being and success. We've designed a benefits package that goes beyond the ordinary, ensuring that our team members thrive both personally and professionally. Here's an overview of our benefits, including some that set us apart from our competitors.
THE BASICS
  • Various medical plan options, including a no-cost option
  • Vision and dental insurance
  • Employer-paid short-term and long-term disability insurance
  • Employer-paid basic life insurance
  • 401k matching
  • Profit Sharing
  • 8 paid holidays annually
  • Initially up to 15 days of Paid Time Off annually with increase after five years of service
  • Employee Assistance Program (EAP)

WHAT SETS US APART
  • Competitive pay
  • Exposure to world-class CAT training and development
  • Tuition Reimbursement
  • Tool Purchase Assistance to buy high-quality tools at deep discounts
  • Annual stipend toward the purchase of work boots
  • Company Incentive Bonus Program
  • Paid Veteran holiday annually to all service members
  • Training and Development programs
  • Work uniforms and professional cleaning services
  • Financial Wellness programs

Thompson Machinery offers competitive salaries and a complete benefits package. Compensation for this position will be commensurate with candidate experience and background. Thompson Machinery is an equal opportunity employer: Minorities/Women/Veterans/Disabled.

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