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Principal Data Engineer Jobs in Tennessee (NOW HIRING)

Dollar General

Principal Data Engineer

Goodlettsville, TN · On-site

$107K - $129K/yr

Company Overview A Principal Data Engineer is responsible for expanding and optimizing data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams.

Dollar General

Principal Data Engineer

Goodlettsville, TN

$107K - $129K/yr

Company Overview A Principal Data Engineer is responsible for expanding and optimizing data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams.

Oracle

Principal Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

As a Data Engineer at Oracle OCI, you will play a crucial role in providing data-driven decision support and analysis for OCI's largest products and programs. This is a position that offers an ...

Oracle

Principal Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Data Pipeline and Solutions Engineering - Pipeline Design: * Leverages advanced knowledge of ETL processes to design, develop, and optimize automated, scalable, and efficient data pipeline ...

Oracle

Principal Data Engineer

Nashville, TN

Works independently and collaboratively in an agile development environment with other engineers to develop, maintain, and debug advanced data solutions that are scalable, efficient, cost effective ...

Oracle

Principal Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Data Pipeline and Solutions Engineering - Pipeline Design: * Leverages advanced knowledge of ETL processes to design, develop, and optimize automated, scalable, and efficient data pipeline ...

Oracle

Principal Data Engineer

Nashville, TN

Works independently and collaboratively in an agile development environment with other engineers to develop, maintain, and debug advanced data solutions that are scalable, efficient, cost effective ...

Oracle

Principal Data Engineer

Nashville, TN · On-site

Works independently and collaboratively in an agile development environment with other engineers to develop, maintain, and debug advanced data solutions that are scalable, efficient, cost effective ...

Oracle

Principal Data Engineer

Nashville, TN

Works independently and collaboratively in an agile development environment with other engineers to develop, maintain, and debug advanced data solutions that are scalable, efficient, cost effective ...

Oracle Corporation

Principal Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

As a Data Engineer at Oracle OCI, you will play a crucial role in providing data-driven decision support and analysis for OCI's largest products and programs. This is a position that offers an ...

Oracle

Principal Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

As a Data Engineer at Oracle OCI, you will play a crucial role in providing data-driven decision support and analysis for OCI's largest products and programs. This is a position that offers an ...

Oracle

Principal Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

As a Data Engineer at Oracle OCI, you will play a crucial role in providing data-driven decision support and analysis for OCI's largest products and programs. This is a position that offers an ...

Cyod

Principal Data Scientist

Shelbyville, TN · On-site

$140 - $180/hr

Requisition Number: 105937 Principal Data Scientist Focus: Clinical / HLS, Google Cloud Gen AI ... You will bridge the gap between clinical stakeholders, technical engineering teams, and executive ...

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Showing results 1-20

All JobsPrincipal Data Engineer JobsPrincipal Data Engineer Jobs in Tennessee

Principal Data Engineer information

See Tennessee salary details

$67.2K

$133.6K

$192.9K

How much do principal data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for principal data engineer in Tennessee is $133,619.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,600.00 and $157,000.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a principal data engineer?

As a Principal Data Engineer, your day-to-day responsibilities generally include designing and optimizing large-scale data pipelines, developing architectural strategies, and overseeing the implementation of robust data solutions. You'll collaborate closely with data scientists, analysts, and software engineers to ensure the organization's data infrastructure is efficient, scalable, and secure. You may also mentor junior team members, review code, and set data engineering best practices. This role frequently requires balancing hands-on technical work with strategic planning and stakeholder communication to align data initiatives with business goals.

What is a principal data engineer?

A Principal Data Engineer is a senior-level technical role responsible for designing, building, and maintaining large-scale data infrastructure. They lead data engineering teams, establish best practices, and ensure efficient data pipelines to support analytics and machine learning. This role involves working with cloud platforms, big data technologies, and distributed systems to optimize data processing. Principal Data Engineers collaborate with data scientists, analysts, and business stakeholders to drive data-driven decision-making. Their work is critical in enabling organizations to leverage data effectively for insights and innovation.

What are the key skills and qualifications needed to thrive as a principal data engineer?

To thrive as a Principal Data Engineer, you need a deep understanding of data architecture, data modeling, ETL development, and distributed computing, often supported by a degree in computer science or a related field. Proficiency with technologies such as Hadoop, Spark, Python, SQL, and cloud platforms (AWS, Azure, or Google Cloud), as well as certifications in relevant tools or data engineering, is highly valuable. Strong leadership, problem-solving skills, and effective cross-functional communication are essential soft skills for this role. These combined abilities enable Principal Data Engineers to design scalable data solutions, drive engineering best practices, and lead complex projects to successful completion.

What are popular job titles related to Principal Data Engineer jobs in Tennessee?

For Principal Data Engineer jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Principal Data Engineer jobs in Tennessee look for?

The top searched job categories for Principal Data Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for Principal Data Engineer jobs?

Cities in Tennessee with the most Principal Data Engineer job openings:

Principal Data Engineer jobs near you
Infographic showing various Principal Data Engineer job openings in Tennessee as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $133,619 per year, or $64.2 per hour.

Principal Data Engineer

∙ Elijah House Foundation

Goodlettsville, TN • On-site

$110 - $170/hr

Other

Posted 11 days ago

Job description

Company Overview

A Principal Data Engineer is responsible for expanding and optimizing data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. This role involves building and optimizing data systems from the ground up, ensuring that data delivery architecture is consistent throughout ongoing projects.

The Principal Data Engineer supports software developers, database architects, data analysts, and data scientists on data initiatives, ensuring optimal data delivery and architecture. This position requires expertise in data pipeline building and data wrangling, with a focus on enhancing data systems for improved efficiency and performance.

Job DetailsDuties & Responsibilities: What major responsibilities does this position have and what percentage of time is spent on completing them? (Typically 5-7)
  • Develop, construct, test, and maintain data architectures: responsible for creating and maintaining optimal data pipeline architectures necessary for the organization's operational efficiency. 65%
  • Collaborate with data scientists and other stakeholders: expected to collaborate with data scientists, business analysts, IT professionals, and management to assist with data-related technical issues and support their data infrastructure needs. 10%
  • Assemble and prepare large, complex data sets to meet functional business requirements: required to work with different teams to understand their data needs and ensure those needs are met. 10%
  • Build analytics tools: This will involve developing tools that utilize the data pipeline to provide actionable insights into key business performance metrics. 5%
  • Maintain data security and compliance: ensure systems meet industry practices and business requirements for data privacy and protection. 5%
  • Identify, design, and implement internal process improvements: This includes optimizing data delivery, automating manual processes, and re-designing infrastructure for greater scalability. 3%
  • Keep up-to-date with the latest technology trends: Continually learn and adapt to new technologies that could improve existing systems 2%
Knowledge, Skills and Abilities (KSAs): What KSAs are required to perform this job?
  • Hands on experience with programming languages (e.g. Python, SQL, GoLang)
  • Knowledge with SQL database design concepts and Data Models
  • Great numerical and analytical skills
  • Degree in Computer Science, IT, or similar field; a Master’s is a plus
  • Data engineering certification (e.g., Cloud Engineer, Data Engineer) is a plus
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including MongoDG, Postgres and/or Cassandra.
  • Experience with data pipeline and workflow management tools: Airflow, Dataflow, Composer, etc.
  • Experience with GCP, Snowflake, Azure cloud services: BQ, Dataflow, Redshift
  • Experience with stream-processing systems: Kafka, Spark-Streaming, etc.
  • Good Knowledge of software engineering principles, methodologies and current best practices.
  • Able to multitask and shift priorities as needed.
  • Able to use BI Tools for data analysis and data QA.
Qualifications

Work Experience &/or Education: What are the minimum education and/or experience requirements necessary to perform this job?

  • 9+ years experience and a degree in information technology or computer science with additional vendor-specific certification.
  • BS or MS degree in Computer Science or a related technical field
  • 4+ years of Python or Java development experience
  • 4+ years of SQL experience (No-SQL experience is a plus)
  • 4+ years of experience with schema design and dimensional data modeling
  • Ability in managing and communicating data warehouse plans to internal clients
  • Experience designing, building, and maintaining data processing systems
  • Experience working with a cloud platform such as Snowflake / Azure or Databricks
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