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Etl Testing Jobs in Tennessee (NOW HIRING)

SOUTH COLLEGE

Database Engineer

Knoxville, TN · On-site +1

Develop and manage ETL/ELT pipelines to consolidate data from source systems into the warehouse. * Install, configure, and maintain database management systems (e.g., SQL Server, Oracle, MySQL ...

SOUTH COLLEGE

Database Engineer

Knoxville, TN · On-site +1

Develop and manage ETL/ELT pipelines to consolidate data from source systems into the warehouse. * Install, configure, and maintain database management systems (e.g., SQL Server, Oracle, MySQL ...

Programmers.io

GCP Data Architect

Nashville, TN · On-site

$61.50 - $79.25/hr

Design and Develop conformed data models (star/snowflake schemas) and ETL/ELT processes for analytics and BI tools (MicroStrategy, Looker, Power BI). * Pipeline Development: Build scalable pipelines ...

LHH US

Data Analyst

Nashville, TN

$60K/yr

Collaborate with data engineering teams to support data warehouse, ETL, and data integration efforts. * Present findings, insights, and recommendations to technical and non-technical audiences.

ASCENSUS

Data Program Architect

Nashville, TN

$61.50 - $79.25/hr

Own data platform tool and technology selection, including data warehouses, ETL and integration tools (e.g., Informatica), orchestration frameworks, and data access methods; conduct due diligence ...

Ascensus

Data Program Architect

Nashville, TN · On-site

$180 - $220/hr

Own data platform tool and technology selection, including data warehouses, ETL and integration tools (e.g., Informatica), orchestration frameworks, and data access methods; conduct due diligence ...

LHH US

Data Analyst

Nashville, TN

$60K/yr

Collaborate with data engineering teams to support data warehouse, ETL, and data integration efforts. * Present findings, insights, and recommendations to technical and non-technical audiences.

HSSSoft

.net developer

Nashville, TN · On-site

$46.50 - $61.50/hr

Understanding of build process, SOLR, SAML and SSO implementation, Angular.js, ETL, Writing Windows Onsite-Offshore coordination is required Healthcare is good to have. Education Bachelors Degree in ...

Ascensus

Data Program Architect

Nashville, TN · On-site

$61.50 - $79.25/hr

Own data platform tool and technology selection, including data warehouses, ETL and integration tools (e.g., Informatica), orchestration frameworks, and data access methods; conduct due diligence ...

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$28

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How much do etl testing jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for etl testing in Tennessee is $52.08, according to ZipRecruiter salary data. Most workers in this role earn between $44.52 and $58.27 per hour, depending on experience, location, and employer.

What is the average salary for ETL testers?

The average salary for ETL testers typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Skilled testers with knowledge of tools like Informatica, Talend, or DataStage and certifications can command higher salaries.

What is the difference between Etl Testing vs Data Analyst?

AspectEtl TestingData Analyst
Primary FocusValidating data extraction, transformation, and loading processesAnalyzing data to identify trends and generate reports
Skills & CertificationsSQL, ETL tools, data warehousing certificationsSQL, Excel, data visualization tools, statistical knowledge
Work EnvironmentData warehouses, ETL pipelines, testing environmentsBusiness intelligence platforms, dashboards, reporting tools
Industry UsageData integration, ETL process validationData analysis, reporting, decision support

While Etl Testing focuses on validating data movement and transformation processes within data pipelines, Data Analysts interpret and analyze data to support business decisions. Both roles require SQL skills and work with data, but Etl Testing emphasizes quality assurance of data workflows, whereas Data Analysts focus on insights and reporting.

What are some common challenges faced by ETL testers during data migration projects?

ETL Testers often encounter challenges such as handling large volumes of data, ensuring data integrity during migration, and dealing with inconsistent or incomplete source data. They must be vigilant about identifying data anomalies, mapping errors, and performance bottlenecks in ETL pipelines. Close collaboration with data engineers and business analysts is essential to clarify data requirements and resolve discrepancies, ensuring seamless and accurate data transitions.

What are the key skills and qualifications needed to thrive as an ETL tester?

To thrive as an ETL Tester, you need a solid understanding of data warehousing concepts, SQL proficiency, and experience with ETL processes, typically supported by a degree in computer science or a related field. Familiarity with ETL tools like Informatica, Talend, or SSIS, as well as testing frameworks and defect tracking systems, is commonly required. Strong analytical thinking, attention to detail, and effective communication skills help ETL Testers identify data inconsistencies and collaborate with developers and business analysts. These skills ensure accurate data migration, high-quality deliverables, and support critical business decision-making based on reliable data.

What are the key skills and qualifications needed to thrive as an ETL tester, and why are they important?

ETL testing refers to the process of validating, verifying, and ensuring the accuracy of data as it moves through the Extract, Transform, and Load (ETL) process in data warehousing. This type of testing ensures that the data extracted from source systems is correctly transformed according to business rules and loaded into the target system without loss or corruption. ETL testers check for data completeness, data integrity, and performance of the ETL process, helping organizations maintain high-quality, reliable data for analytics and reporting.

How to become an ETL tester?

To become an ETL tester, you should have a strong understanding of data warehousing, SQL, and ETL tools like Informatica or Talend. Gaining experience in database testing, data validation, and scripting languages such as Python or Shell is also beneficial, along with relevant certifications like ISTQB or specific ETL tool certifications. Developing analytical skills and attention to detail are essential for effective testing in this role.

Is ETL testing still relevant?

ETL testing remains a vital part of data integration and data warehousing projects, ensuring data quality, accuracy, and consistency during data migration processes. As organizations increasingly rely on large-scale data analytics and business intelligence, skills in ETL testing, along with tools like Informatica, Talend, or Apache NiFi, continue to be in demand for validating data pipelines and workflows.

What are ETL testing jobs?

ETL testing jobs are data management and software jobs in which your responsibilities are to use an extract-transform-load test to ensure that data migration projects work properly. Specifically, your duties are to ensure that information extraction that comes from different sources and is to be presented differently by the destination source is transformed and loaded into a data warehouse properly. As an ETL tester, you may work for a specific company or for a business intelligence consulting firm that specializes in ETL testing and designing new data applications. You can also consult on a freelance basis.

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Etl Testing jobs near you
Infographic showing various Etl Testing job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $108,320 per year, or $52.1 per hour.

Cloud Engineer- Data/AI Focused

Innovative Solutions

Nashville, TN

$100K - $160K/yr

Full-time

Re-posted 14 days ago

Job description

As a Data & AI Engineer, you'll build and deploy modern data pipelines and generative AI solutions on AWS - from scalable ETL/ELT workflows and cloud data platforms to production-grade RAG systems and AI agents. One engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you're building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You'll work directly with clients to deliver end-to-end data and AI solutions that are secure, scalable, and production-ready.

What You'll Do:

  • Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR
  • Creating and maintaining data extraction, transformation, and loading processes
  • Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB
  • Implementing data lakes using S3 and related AWS services
  • Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude
  • Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases
  • Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex
  • Writing and testing SQL queries and stored procedures
  • Documenting technical solutions and providing knowledge transfer to customers
  • Supporting the implementation of data governance and security controls
  • Troubleshooting and resolving issues with data pipelines and AI services
  • Participating in code reviews and implementing feedback
  • Assisting with proof-of-concept implementations for customer engagements

Required Skills:

  • 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development
  • 2+ years of hands-on AWS experience with production deployments
  • 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents)
  • Proven track record delivering production AI applications from concept to deployment
  • Strong understanding of software engineering best practices (version control, testing, code review, documentation)
  • Experience working in agile/scrum environments with distributed teams
  • Excellent problem-solving skills and ability to work independently with minimal supervision
  • Strong written and verbal communication skills for client-facing interactions

Preferred:

  • Technical familiarity with AWS data and AI/ML services and modern data engineering practices
  • Hands-on experience with ETL/ELT processes and data transformation
  • Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks
  • Ability to write and optimize SQL queries across various database platforms
  • Knowledge of data modeling concepts and best practices
  • Strong analytical and problem-solving skills
  • Eagerness to learn new technologies and keep up with cloud and AI innovations
  • Excellent communication skills with the ability to explain technical concepts clearly
  • Attention to detail and commitment to solution quality
  • Collaborative mindset with strong teamwork capabilities
  • Experience or interest in automation and infrastructure as code
$100,000 - $160,000 a year
The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate's professional experience, key skills, and education/training.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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