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Data Wrangler Jobs in Tennessee (NOW HIRING)

Dollar General

Principal Data Engineer

Goodlettsville, TN · On-site

$107K - $129K/yr

This position requires expertise in data pipeline building and data wrangling, with a focus on enhancing data systems for improved efficiency and performance. Job Details Duties & Responsibilities:

Munich Re

Data Scientist

Memphis, TN · On-site +1

Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis. * Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines.

Munich Re

Data Scientist

Chattanooga, TN · On-site +1

Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis. * Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines.

Dollar General

Principal Data Engineer

Goodlettsville, TN

$107K - $129K/yr

This position requires expertise in data pipeline building and data wrangling, with a focus on enhancing data systems for improved efficiency and performance. Job Details Duties & Responsibilities:

Creative Artists Agency (CAA)

AI - Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Monitor deployed solutions and data pipelines for performance, stability, and data quality over time Data Wrangling: * Identify data sources that can be useful to answer business questions * Perform ...

Varsity Tutors

Data Science Tutor

Chattanooga, TN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Memphis, TN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Knoxville, TN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Murfreesboro, TN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Nashville, TN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Kingsport, TN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Pwc

AI Engineer

Nashville, TN · On-site

$50K - $112K/yr

Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate, you will focus on learning and ...

Revecore

Senior Machine Learning Engineer

Franklin, TN · Remote

$118K - $155K/yr

Ability to wrangle data, perform exploratory data analysis, and draw insights from visualizations. It would also be great if you have: Intuitionaboutdata developed by doing statistics and/or research.

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All JobsData Wrangler JobsData Wrangler Jobs in Tennessee

Data Wrangler information

See Tennessee salary details

$41.8K

$149.8K

$221K

How much do data wrangler jobs pay per year?

As of Aug 27, 2026, the average yearly pay for data wrangler 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.

What is a data wrangler?

A Data Wrangler is responsible for collecting, cleaning, and organizing raw data from various sources to make it usable for analysis. They preprocess data by handling missing values, formatting inconsistencies, and eliminating errors to ensure accuracy. Data Wranglers work closely with data analysts and data scientists to prepare structured datasets for insights and decision-making. Their role often involves scripting, automation, and utilizing tools like Python, SQL, and data transformation platforms.

What skills and qualifications are needed to be a data wrangler?

To thrive as a Data Wrangler, you need a strong background in data cleaning, transformation, and analysis, usually supported by a degree in computer science, statistics, or a related field. Familiarity with tools like Python, R, SQL, Excel, and data visualization platforms, as well as knowledge of ETL processes, is typically required. Detail orientation, problem-solving skills, and clear communication are vital soft skills for this role. These skills are important for ensuring that raw data is accurately refined and prepared for meaningful analysis by data scientists and business stakeholders.

What challenges do data wranglers face and how do they navigate them?

Data Wranglers often encounter challenges such as inconsistent or incomplete datasets, merging data from multiple sources, and addressing ambiguous data definitions. To navigate these issues, they work closely with data engineers, analysts, and subject matter experts to clarify data requirements and apply robust validation processes. Effective communication and creative problem-solving are key to diagnosing and resolving data quality issues. By mastering a variety of technical tools and adopting meticulous data documentation practices, Data Wranglers play a crucial role in ensuring that downstream analytics are reliable and actionable.

What are the most commonly searched types of Data Wrangler jobs in Tennessee?

The most popular types of Data Wrangler jobs in Tennessee are:

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

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

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

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

Data Wrangler jobs near you
Infographic showing various Data Wrangler job openings in Tennessee as of August 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $149,773 per year, or $72 per hour.

Principal Data Engineer

Goodlettsville, TN • On-site

∙ Elijah House Foundation
See more jobs at ∙ Elijah House Foundationexternal

$110 - $170/hr

Other

Posted 22 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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