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Senior Data Engineer Jobs in Tennessee (NOW HIRING)

Starbucks

data engineer sr- ST; Nashville, TN

Nashville, TN · On-site

$53.75 - $71.25/hr

As a Senior Data Engineer, you will build enterprise data services that support analytics and decision-making, focusing on designing and maintaining data pipelines for real-time business analytics.

Pwc

Data Engineer - Senior Manager

Nashville, TN · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Senior Associate

Nashville, TN · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Stantec

Senior Data Architect

Nashville, TN · On-site

$65 - $87/hr

Senior Data Architect We are seeking a Senior Data Architect to join a project team that will be ... Provide technical leadership and mentorship to database administrators, database developers, and ...

Pwc

Data Engineer - Senior Associate

Nashville, TN · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

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Senior Data Engineer information

See Tennessee salary details

$73.5K

$114.7K

$158.8K

How much do senior data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for senior data engineer in Tennessee is $114,658.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $130,700.00 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 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 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.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

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 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 Senior Data Engineer jobs in Tennessee? For Senior Data Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Tennessee look for? The top searched job categories for Senior Data Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Senior Data Engineer jobs? Cities in Tennessee with the most Senior Data Engineer job openings:
What are popular job titles related to Senior Data Engineer jobs in TN? For Senior Data Engineer jobs in TN, the most frequently searched job titles are:
Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $114,658 per year, or $55.1 per hour.

data engineer sr- ST; Nashville, TN

Starbucks

Nashville, TN • On-site

$53.75 - $71.25/hr

Full-time

Re-posted 2 days ago

Starbucks rating

6.7

Company rating: 6.7 out of 10

Based on 3,616 frontline employees who took The Breakroom Quiz

3rd of 16 rated cafes

Job description

Job Summary:
Starbucks is a company dedicated to creating a unique connection through coffee and extraordinary leadership. As a Senior Data Engineer, you will build enterprise data services that support analytics and decision-making, focusing on designing and maintaining data pipelines for real-time business analytics.
Responsibilities:
• Build and support highly available data pipelines across batch/distributed and real-time processing to enable analytics at scale.
• Translate strategic needs into working solutions by partnering across teams to define requirements, implement data governance and retention practices, and improve standards and reliability.
• Drive operational excellence through automation, monitoring, documentation, performance analysis, and root-cause resolution—partnering across peer support groups and vendors as needed.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Management Information Systems, or related discipline
• 2+ years of professional industry experience with software development
Preferred:
• 5+ years working with SQL platforms
• 2+ years working with (or strong exposure to) NoSQL platforms
• 5+ years working with Spark and/or the Hadoop ecosystem (e.g., Hadoop, YARN, MapReduce, Pig, Hive)
• 1+ years implementing data platforms on Azure or AWS (advanced scope may align to 2+ years)
• 1+ years experience with CI/CD tools and practices (advanced scope may align to 2+ years)
• 2+ years exposure to SOA architecture and service integration patterns
• Proficiency in Java, Scala, or C#, plus strong debugging, troubleshooting, and performance tuning
• Proficiency in shell scripting, logging/monitoring patterns, and enterprise deployment best practices
• Experience productionalizing big data implementations (advanced scope may include multiple implementations)
• Familiarity with Tableau (or similar) is a plus
• Demonstrated ability to mentor others and operate effectively in Agile/DevOps environments
Company:
Starbucks is a restaurant chain that serves handcrafted ready-to-drink beverages, including coffee, tea, juices, and snack food items. Founded in 1971, the company is headquartered in Seattle, USA, with a team of 10001+ employees. The company is currently Late Stage.

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