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Etl Testing Jobs in Raleigh, NC (NOW HIRING)

ETL Developer

Raleigh, NC ยท On-site

$49.50 - $65/hr

Participate in release management, testing, deployment support, and production readiness activities * Support continuous improvement of ETL performance, scalability, and data quality practices

AWS Java ETL Developer - Hybrid

Raleigh, NC ยท Hybrid

$49.50 - $64.25/hr

Title: AWS Java ETL Developer - Hybrid Mandatory skills: AWS solutions, modernizing legacy ... Design, Create and Execute Test Cases Back-end Testing: Validating back-end logic and data ...

AWS/Java/ETL Developer

Raleigh, NC ยท On-site

$50 - $55/hr

Knowledge/experience using any ETL tools, experience with data analytics using PowerBI or AWS Quick ... Design, Create and Execute Test Cases. * Back-end Testing: Validating back-end logic and data ...

Test Lead

Raleigh, NC ยท On-site

$46.25 - $63/hr

The ideal candidate should possess strong expertise in Snowflake, SQL, ETL/Data Warehouse testing, data validation, reconciliation, test automation, and Test Development Lifecycle (TDLC ...

AWS/Java/ETL Developer at NC

Raleigh, NC ยท On-site

$49.50 - $64.25/hr

AWS/Java/ETL Developer Location: Raleigh, NC (27607) Client: State of North Carolina Duration: 12+ Months We are seeking an experienced AWS/Java/ETL Developer to join our team. This role focuses on ...

AWS/Java/ETL Developer at NC

Raleigh, NC ยท On-site

$49.50 - $64.25/hr

AWS/Java/ETL Developer Location: Raleigh, NC (27607) Client: State of North Carolina Duration: 12+ Months We are seeking an experienced AWS/Java/ETL Developer to join a dynamic team focused on data ...

NC client AWS/Java/ETL Developer

Raleigh, NC ยท On-site

$45 - $58.25/hr

client-ITD is seeking an AWS/Java/ETL developer specializing in Data modernization using cloud ... Design, Create and Execute Test Cases * Back-end Testing: Validating back-end logic and data ...

NC client AWS/Java/ETL Developer

Raleigh, NC ยท On-site

$45 - $58.25/hr

client-ITD is seeking an AWS/Java/ETL developer specializing in Data modernization using cloud ... Design, Create and Execute Test Cases * Back-end Testing: Validating back-end logic and data ...

Senior Data Engineer

Durham, NC

$102K - $139K/yr

Develops Extract Transform and Load and Extract Load and Transform (ETL/ELT) strategies. Advances ... Supports and performs all phases of testing leading to implementation. * Assists in the planning ...

Senior Data Engineer

Durham, NC ยท On-site

$102K - $139K/yr

Develops Extract Transform and Load and Extract Load and Transform (ETL/ELT) strategies. Advances ... Supports and performs all phases of testing leading to implementation. * Assists in the planning ...

Senior Data Engineer

Raleigh, NC ยท On-site

$91K - $163K/yr

Evaluate emerging trends in ETL frameworks and AI to inform solution design and drive strategic innovation within the analytics platform * Use enterprise-approved AI tools to automate data ...

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Etl Testing information

See Raleigh, NC salary details

$30

$55

$78

How much do etl testing jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for etl testing in Raleigh, NC is $55.77, according to ZipRecruiter salary data. Most workers in this role earn between $47.64 and $62.40 per hour, depending on experience, location, and employer.

How much do ETL testers make in the US?

ETL testers in the US typically earn between $70,000 and $110,000 annually, depending on experience, location, and certifications. Entry-level positions may start around $60,000, while experienced professionals with skills in SQL, data warehousing, and testing tools can earn 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, and why are they important?

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 is ETL testing?

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.

Will AI replace ETL testing?

ETL testing involves validating data extraction, transformation, and loading processes, which requires understanding complex data workflows and business rules. While AI can assist in automating certain testing tasks and identifying anomalies, human expertise remains essential for designing test cases, interpreting results, and handling complex scenarios. Therefore, AI is likely to augment rather than fully replace ETL testers in the near future.

What is the salary of ETL test lead?

The salary of an ETL Test Lead typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Senior roles with certifications and expertise in tools like Informatica or Talend may command higher salaries.

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.

What is the work of ETL tester?

An ETL tester is responsible for verifying the accuracy, completeness, and quality of data during the Extract, Transform, Load (ETL) process. They design and execute test cases to ensure data is correctly migrated from source to target systems, often using tools like Informatica or Talend, and validate data transformations and workflows to maintain data integrity.
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Infographic showing various Etl Testing job openings in Raleigh, NC as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution, with an average salary of $116,007 per year, or $55.8 per hour.

ETL Developer

Siritech Solutions Corp

Raleigh, NC โ€ข On-site

$49.50 - $65/hr

Full-time

Posted 12 hours ago


Job description

Total Required Experience in Years: Minimum 810+ Years
Mode of Work: Onsite (No Remote)

Job Description:Seeking an experienced ETL Developer to support enterprise data migration and modernization initiatives involving SAS-to-Snowflake conversion and Talend-based ETL pipelines within a banking environment. The ideal candidate should possess strong expertise in Snowflake, Talend, PySpark, SQL, Unix/Linux, SAS code analysis, cloud platforms, and enterprise ETL/ELT development. This role requires hands-on experience analyzing legacy SAS code, converting business logic into Snowflake SQL and Talend pipelines, developing scalable ETL jobs, implementing CDC logic, optimizing performance, and ensuring data quality, integrity, and SLA adherence across enterprise data platforms.


Key Responsibilities:

  • Analyze complex SAS code, macros, and batch workflows to understand business logic and data transformations
  • Refactor, optimize, and convert legacy SAS processes into Snowflake SQL and Talend ETL pipelines
  • Design and develop Talend ETL/ELT jobs for enterprise data ingestion, transformation, and loading into Snowflake
  • Implement Talend transformations including tMap, tJoin, tAggregateRow, and tFilterRow to support business logic processing
  • Create and maintain source-to-target mapping documents (MapDocs) and transformation logic documentation
  • Develop parameterized Talend jobs using context variables for DEV, QA, and PROD environments
  • Build and manage Snowflake data pipelines using SQL, stored procedures, and automated tasks
  • Implement incremental load processing and Change Data Capture (CDC) logic for large datasets
  • Perform data profiling, validation, reconciliation, and quality checks between source and Snowflake systems
  • Troubleshoot ETL failures, resolve data issues, and optimize performance bottlenecks in Snowflake and Talend pipelines
  • Optimize Snowflake queries and Talend workflows for scalability, performance, and cost efficiency
  • Ensure enterprise data delivery meets SLA/OLA timelines and release requirements
  • Collaborate with QA teams, Data Modelers, business teams, and stakeholders during UAT, deployments, and post-production validation


Additional Responsibilities:

  • Support enterprise migration and modernization activities involving Snowflake and Talend ecosystems
  • Maintain transformation logic, technical documentation, and ETL development standards
  • Participate in release management, testing, deployment support, and production readiness activities
  • Support continuous improvement of ETL performance, scalability, and data quality practices
  • Collaborate across technical and business teams to ensure seamless delivery and issue resolution


Required Skills:

  • Strong expertise in Snowflake, Talend, PySpark, SQL, Unix/Linux, and SAS code analysis/conversion
  • Strong experience designing and developing ETL/ELT pipelines and enterprise data workflows
  • Experience converting SAS processes into Snowflake SQL and Talend pipelines
  • Hands-on experience implementing Talend transformations including tMap, tJoin, tAggregateRow, and tFilterRow
  • Experience implementing CDC logic, incremental loads, and large-scale data processing solutions
  • Strong data profiling, validation, reconciliation, and data quality experience
  • Experience optimizing Snowflake queries and Talend jobs for performance and cost efficiency
  • Experience with AWS/Azure cloud platforms and enterprise data ecosystems
  • Strong troubleshooting, debugging, and stakeholder collaboration skills


Qualifications:

  • Minimum 810+ years of strong hands-on ETL/Data Engineering experience required
  • Experience supporting enterprise migration and modernization initiatives required
  • Strong enterprise data integration and release support experience preferred
  • Experience collaborating with QA, business, and Data Modeling teams preferred