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Etl Developer Jobs in Mississippi (NOW HIRING)

Lorven Technologies

Programmer Analyst

Jackson, MS · On-site

Summary We are seeking a skilled Programmer Analyst with strong experience in enterprise software ... Extract, map, validate, and transform data to support ETL and database conversion activities.

innovitusa

Oracle databases Developer

Jackson, MS

$49.25 - $61.25/hr

Uses Azure DevOps and work items and provides project statuses and project time estimates to the ... perform ETL operations * In-depth experience with .net core, MVC, C#, dependency injection ...

Lynker

Database and Applications Developer

Pascagoula, MS · On-site

$95 - $130/hr

Design automated extract, transform, and load (ETL) workflows to migrate data into a centralized ... Engineer a staging-and-commit workflow in which proposed external edits are held for review and do ...

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$30

$54

$76

How much do etl developer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for etl developer in Mississippi is $54.34, according to ZipRecruiter salary data. Most workers in this role earn between $46.44 and $60.77 per hour, depending on experience, location, and employer.

What is an ETL developer?

An ETL (extract, transform, load) developer is an information technology specialist whose area of expertise is data warehouse solutions. As an ETL developer, your responsibilities include overseeing the big picture data warehousing needs of your company. You work with a team of IT professionals to assess current data storage systems, evaluate needs, and determine the best way to meet those requirements. Once you have developed the new data warehouse system, you oversee the extraction of data from other sources, the uploading of that data into the new system, and testing and troubleshooting to ensure everything works properly.

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

To thrive as an ETL Developer, you need expertise in data warehousing concepts, strong SQL skills, and experience with ETL tools, often supported by a degree in computer science or a related field. Familiarity with tools like Informatica, Talend, SSIS, and proficiency in scripting languages as well as database management systems is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills in this role. These skills ensure accurate data integration, reliable data pipelines, and successful collaboration with stakeholders in data-driven projects.

What are some common challenges ETL developers face when integrating data from multiple sources, and how can they be addressed?

ETL Developers are IT professionals who specialize in designing, building, and maintaining systems for extracting, transforming, and loading data from various sources into data warehouses or other storage systems. They work with large datasets, ensuring that data is accurately and efficiently moved, cleaned, and integrated for business intelligence and analytics. ETL Developers use specialized tools and programming languages to automate these processes, making data accessible and useful for organizations. Their role is crucial in supporting data-driven decision making.

What is the difference between Etl Developer vs Data Engineer?

AspectEtl DeveloperData Engineer
Primary FocusDesigning and developing ETL processes for data integrationBuilding and maintaining scalable data pipelines and infrastructure
Skills & CertificationsSQL, ETL tools, data warehousing, sometimes certifications like Microsoft or InformaticaProgramming (Python, Java), cloud platforms, big data technologies, often similar certifications
Work EnvironmentData warehouses, BI teams, analytics departmentsData platforms, cloud environments, big data ecosystems
Industry UsageFinance, healthcare, retail, where data integration is keyTech, finance, e-commerce, focusing on data infrastructure

While both roles involve data processing, Etl Developers primarily focus on creating and maintaining ETL processes for data integration, whereas Data Engineers build comprehensive data pipelines and infrastructure to support large-scale data analytics and storage. The roles often overlap, but Data Engineers typically work on broader data architecture and scalability.

Is ETL developer in demand now?

ETL developers are currently in demand due to the increasing need for data integration and management in organizations. Skills in SQL, data warehousing, and tools like Informatica or Talend enhance job prospects, with many companies seeking professionals to support data-driven decision-making.

What do ETL developers do?

ETL developers design, build, and maintain data pipelines that extract data from various sources, transform it into a usable format, and load it into data warehouses or databases. They often use tools like SQL, Python, or specialized ETL software and work closely with data analysts and engineers to ensure data quality and efficiency.
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Etl Developer jobs near you
Infographic showing various Etl Developer job openings in Mississippi as of August 2026, with employment types broken down into 83% Full Time, 5% Part Time, and 12% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $113,028 per year, or $54.3 per hour.

QA Test Automation Lead - Data Warehouse & ETL

Huntington

Tupelo, MS • Hybrid

$70K - $140K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 5 days ago

Huntington National Bank rating

8.1

Company rating: 8.1 out of 10

Based on 174 frontline employees who took The Breakroom Quiz

67th of 175 rated banks

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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