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Etl Testing Jobs in Alabama (NOW HIRING)

Noblesoft Technologies

Sr ETL Developer

Montgomery, AL · On-site

Job Title: Sr ETL Developer Location: Montgomery, AL ( Hybrid role ) Mandatory Skills: * Azure Data Factory, Databricks, Python/PySpark, Oracle / SQL * Experience in Data Migration / Conversion ...

System Soft Technologies

ETL Test Lead

Montgomery, AL · On-site

$47 - $64/hr

... EE2E Testing, API testing using open-source automation tools and testing Snowflake cloud data ... executing ETL test cases * 3 - 5 years of experience in member and provider enrollment and ...

Neptune

Software Engineer (BI)

Tallassee, AL · On-site

You will be responsible for the analysis, development, testing, deployment, and post-deployment support of the ETL processes and PowerBI solutions for the Enterprise Applications & Data team. You ...

4P Consulting Inc.

Data Analyst 2

Birmingham, AL · On-site

... (ETL) processes, working with various data sources and databases to prepare data for analysis. · Statistical Analysis: Proficiency in statistical analysis and hypothesis testing to draw · ...

4pconsultinginc

Data Analytics Analyst I

Birmingham, AL · On-site

Perform statistical analysis and hypothesis testing to support business decisions. * Assist with ... Basic understanding of ETL processes and database concepts. * Strong analytical, problem-solving ...

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How much do etl testing jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for etl testing in Alabama is $52.01, according to ZipRecruiter salary data. Most workers in this role earn between $44.47 and $58.17 per hour, depending on experience, location, and employer.

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.

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 Alabama as of July 2026, with employment types broken down into 1% Locum Tenens, 64% Full Time, 9% Part Time, 9% Contract, 16% Nights, and 1% Summer. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $108,173 per year, or $52 per hour.

QA Test Automation Lead - Data Warehouse & ETL

Huntington

Hoover, AL • Hybrid

Other

Medical, Life, Retirement, PTO

Re-posted 18 days ago

Job description

Description Summary Huntington Bank is seeking a hands-on QA Test Automation Lead to support Enterprise Data Warehouse and Data Lake initiatives. This role combines QA leadership, ETL testing, SQL-based data validation, and test automation. The ideal candidate has deep experience testing data pipelines and integrations, leading QA efforts, and driving process improvements through automation and innovation.

This is primarily a Data Warehouse QA role, not a traditional UAT, Salesforce, or application testing position. Candidates should demonstrate strong ETL testing, SQL, Snowflake, AWS, Python, and data validation experience, along with prior QA leadership and test automation experience. Key Responsibilities Lead QA activities across Data Warehouse and Data Lake projects.

Create test strategies, test plans, and testing status reporting. Coordinate testing efforts across QA resources and project teams. Execute and oversee ETL, data integration, system integration, regression, and UAT testing.

Perform source-to-target validation, data reconciliation, and data quality testing. Analyze and troubleshoot data issues using SQL. Validate data mappings, transformation logic, and business requirements.

Support and expand test automation solutions. Utilize Excel, including formulas, pivot tables, and macros, for data comparison and validation. Identify opportunities to streamline testing processes, documentation, and reporting.

Basic Qualifications Bachelor's degree or equivalent experience. 5+ years of ETL testing experience in a Data Warehouse or Data Lake environment. 5+ years of SQL experience.

2+ years of Snowflake experience. 2+ years of AWS experience. 2+ years of Python experience.

2+ years of QA Lead experience coordinating testing activities. 1+ year of hands-on test automation experience. Preferred Qualifications Experience with source-to-target validation, data reconciliation, and data quality testing.

Strong Excel skills, including formulas, pivot tables, and macros. Experience working in Agile teams. Banking or financial services experience.

Experience with DataStage, Informatica, AWS Glue, or similar ETL tools. Experience designing, implementing, or expanding automated testing frameworks. Experience establishing a test automation suite for a team or application.

Experience with PyTest, Selenium, DBT tests, or similar automation tools. Experience with Azure DevOps and CI/CD processes. Knowledge of data warehouse concepts, including star schemas, fact tables, dimension tables, and data lineage.

Demonstrated ability to improve processes, documentation, and team efficiency. #LI-MH1 #LI-BM1 #LI-Hybrid Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home.

Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Compensation Range: 70,000.00 - 140,000.00 USD Annual The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan

In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

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