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

Tao Digital Solutions, Inc.

Data Scientist

Nashville, TN · On-site

$60K/yr

Support senior data scientists in building and validating statistical and machine learning models ... Work closely with cross-functional teams including finance, data engineering, and business strategy ...

Revecore

Senior Director, Data Architecture

Franklin, TN · Remote

$64.75 - $86.75/hr

... Science, Engineering, and Operations. With most of our enterprise data now consolidated in ... You will report to the SVP of AI, Data & Data Science and operate as the senior-most technical ...

Nissan Motor Co., Ltd.

Data Scientist

Smyrna, TN · On-site

... senior data scientists on more complex or ambiguous problems. In addition to hands-on delivery ... Collaborate with IS/IT and data engineering teams to prepare data pipelines, integrate data sources ...

Nissan Motor Manufacturing UK

Data Scientist

Smyrna, TN · Hybrid

... senior data scientists on more complex or ambiguous problems. In addition to hands-on delivery ... Collaborate with IS/IT and data engineering teams to prepare data pipelines, integrate data sources ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Spring Hill, TN

Senior Data Engineer information

See Spring Hill, TN salary details

$76.2K

$118.8K

$164.6K

How much do senior data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior data engineer in Spring Hill, TN is $118,786.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,700.00 and $135,400.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are the key skills and qualifications needed to thrive as a senior data engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are the most commonly searched types of Data Engineer jobs in Spring Hill, TN?

The most popular types of Data Engineer jobs in Spring Hill, TN are:

What are popular job titles related to Senior Data Engineer jobs in Spring Hill, TN?

For Senior Data Engineer jobs in Spring Hill, TN, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer jobs in Spring Hill, TN look for?

The top searched job categories for Senior Data Engineer jobs in Spring Hill, TN are:

What cities near Spring Hill, TN are hiring for Senior Data Engineer jobs?

Cities near Spring Hill, TN with the most Senior Data Engineer job openings:

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Spring Hill, TN as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $118,786 per year, or $57.1 per hour.

Senior Data Scientist - Supply Chain Operations

Ll Oefentherapie

Nashville, TN • On-site

$130 - $190/hr

Other

Posted 5 days ago

Job description

Oracle Cloud Infrastructure (OCI) is seeking a highly motivated Sr. Data Scientist – Supply Chain to help accelerate the digital transformation of OCI's global supply chain operations. Reporting to the Senior Director of Data Automation, Supply Chain, this role will design, develop, and implement advanced data platforms, AI-enabled automation, predictive analytics, and operational intelligence solutions that improve efficiency, scalability, and decision‑making across OCI's rapidly growing supply chain organization.

As a senior individual contributor, you will partner closely with Supply Planning, Manufacturing, Sourcing, Logistics, Capacity Planning, Data Center Operations, and Engineering teams to develop intelligent automation, operational dashboards, machine learning models, and data products that enable proactive management of supply chain operations. This role requires deep technical expertise, strong business acumen, and the ability to influence cross‑functional stakeholders through data-driven solutions.

*Role is on-site in Nashville, TN or Austin, TX.

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