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Data Quality Jobs in Tennessee (NOW HIRING)

Growve

Data Management Director

Nashville, TN · On-site

Own and improve enterprise master data accuracy, quality, and governance across key business domains (Product, Vendor, Customer, etc.). * Optimize and manage the Product Information Management (PIM ...

Growve

Data Management Director

Nashville, TN · On-site

Own and improve enterprise master data accuracy, quality, and governance across key business domains (Product, Vendor, Customer, etc.). * Optimize and manage the Product Information Management (PIM ...

Growve

Data Management Director

Nashville, TN

Own and improve enterprise master data accuracy, quality, and governance across key business domains (Product, Vendor, Customer, etc.). * Optimize and manage the Product Information Management (PIM ...

FOCUSPOINT

Senior Data Engineer (Remote)

Nashville, TN · On-site

$110K - $132K/yr

Data Quality & Governance * Implement data quality checks, validation rules, and monitoring. * Use Unity Catalog for RBAC, lineage, and data governance. * Maintain data freshness, SLA tracking, and ...

Oracle

Principal Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Data Processing & Pipelining - Data Validation & Quality Assurance: * Provides expertise on and participates in the design and implementation of rigorous data validation and integrity checks ...

Helenoftroy

Enterprise Data Lead

Arlington, TN · Hybrid

Process Optimization & Quality Assurance * Lead the development, optimization, and modernization of core enterprise data processes (e.g., new item and customer setup workflows) to remove operational ...

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$14

$37

$64

How much do data quality jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for data quality in Tennessee is $37.61, according to ZipRecruiter salary data. Most workers in this role earn between $25.29 and $49.33 per hour, depending on experience, location, and employer.

Is data quality a good career?

Data quality is a valuable career path involving ensuring the accuracy, consistency, and reliability of data within organizations. Professionals in this field often work with data management tools, perform audits, and may pursue certifications like Certified Data Management Professional (CDMP). It offers opportunities across industries such as finance, healthcare, and technology with steady demand for skilled data quality specialists.

Is 40 too late for data science?

Data science is a field open to professionals of all ages, and starting at 40 is not too late. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Many individuals transition into data science later in their careers and find opportunities based on their expertise and continuous learning.

What is the highest paying data job?

The highest paying data jobs often include Data Science Director, Chief Data Officer, or Data Engineering Manager roles, which can earn six-figure salaries or higher depending on experience, industry, and location. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications or degrees.

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

To thrive in a Data Quality role, you need expertise in data analysis, attention to detail, knowledge of data governance, and often a bachelor's degree in a related field such as computer science or information systems. Familiarity with tools like SQL, data profiling software, and data quality management platforms, as well as certifications like CDMP (Certified Data Management Professional), is highly valued. Strong problem-solving abilities, effective communication, and a collaborative mindset help professionals excel in this position. These skills are crucial for ensuring accurate, reliable data that supports business decision-making and overall organizational efficiency.

What is a Data Quality job?

A Data Quality job involves ensuring that data is accurate, consistent, and reliable for business use. Professionals in this role develop and enforce data quality standards, identify and resolve data discrepancies, and implement processes for data validation and cleansing. They often work with databases, data governance frameworks, and analytics teams to maintain high-quality data. This role is essential for organizations relying on data-driven decisions, as poor data quality can lead to incorrect insights and inefficiencies.

What are the typical challenges faced by someone working in a Data Quality role?

Professionals in Data Quality roles often encounter challenges such as identifying inconsistent data sources, addressing missing or inaccurate data, and maintaining data standards as systems and business requirements evolve. Working closely with IT, data analysts, and business stakeholders, Data Quality specialists must resolve data discrepancies while balancing the need for accuracy with project deadlines. These challenges require excellent analytical and troubleshooting skills, as well as the ability to communicate data issues clearly across teams. Overcoming these hurdles is key to ensuring data-driven decisions are based on trustworthy information.

What is a data quality job?

A data quality job involves ensuring the accuracy, completeness, consistency, and reliability of data within an organization. Professionals in this role often use tools like data profiling and validation software, and may hold certifications such as Certified Data Management Professional (CDMP). The work typically requires attention to detail and understanding of data governance standards.
What are the most commonly searched types of Data Quality jobs in Tennessee? The most popular types of Data Quality jobs in Tennessee are:
What are popular job titles related to Data Quality jobs in Tennessee? For Data Quality jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Data Quality jobs in Tennessee look for? The top searched job categories for Data Quality jobs in Tennessee are:
What cities in Tennessee are hiring for Data Quality jobs? Cities in Tennessee with the most Data Quality job openings:
Data Quality jobs near you
Infographic showing various Data Quality job openings in Tennessee as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $78,225 per year, or $37.6 per hour.

Sr. Associate, Data Quality Engineering

Fortitude Re

Nashville, TN

Other

Re-posted 6 hours ago

Job description

The Data Quality Engineer is a mid-level technical role within the Data Governance team, responsible for designing, building, and maintaining automated data quality frameworks. The role partners closely with data engineers, actuaries, and business analysts to embed quality controls across the data lifecycle, from ingestion through to reporting, ensuring that risk, claims, and treaty data meet the accuracy and completeness standards required for regulatory compliance and sound decision-making. 

The position reports to the VP, Data Governance.  

What You Will Do: 

  • Design, develop, and maintain automated data quality checks, validation rules, and exception-handling pipelines using Python. 

  • Implement and maintain data quality frameworks aligned with DAMA-DMBOK and internal governance standards. 

  • Develop and implement data quality metrics, scorecards, and dashboards to track completeness, accuracy, consistency, timeliness, and validity across reinsurance datasets. 

  • Build and maintain data quality monitoring pipelines that integrate with existing data infrastructure (e.g., data lake, data warehouse, ETL/ELT workflows). 

  • Collaborate with data stewards, data owners, and business stakeholders to define acceptable quality thresholds and remediation workflows. 

  • Investigate root causes of data quality issues across investment data, treaty data, claims data, and exposure datasets; document findings and drive resolution. 

  • Partner with data engineering teams to integrate quality gates into CI/CD and data pipeline processes. 

  • Maintain comprehensive documentation of quality rules, lineage, and remediation outcomes within the data governance catalog. 

  • Support internal and external audits by providing data quality evidence and lineage reports. 

What You Will Have: 

  • 3-6 years of experience in a data quality, data engineering, or analytics engineering role. 

  • Experience in reinsurance, insurance, or financial services preferred.  

  • Hands-on experience with SQL and working in cloud-based data environments. 

  • Experience with cloud platforms such as AWS, Azure, or GCP preferred.  

  • Strong proficiency in Python for data processing, quality rule development, and pipeline automation (e.g., pandas, Great Expectations, polars) preferred.  

  • Familiarity with data governance principles and frameworks (DAMA-DMBOK, DCAM, or equivalent). 

  • Experience working within structured data environments in financial services, insurance, or reinsurance. 

  • Takes ownership of quality outcomes and delivers solutions end-to-end under limited supervision; identifies gaps before they become issues. 

  • Strong analytical and problem-solving skills with a meticulous attention to detail. 

  • Ability to communicate technical data quality concepts clearly to non-technical business stakeholders. 

  • Understanding of data controls supporting audit, compliance, and reporting requirements preferred.  

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