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Etl Testing Jobs in Raleigh, NC (NOW HIRING)

Sennos

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

... testing processes to ensure reliability and trust in warehouse data * Support the enforcement of data contracts between source systems and the warehouse * Assist in reverse ETL workflows to ...

Vulcan Elements

Data Engineer

Raleigh, NC

$111K - $133K/yr

... testing, observability, and documentation, and hold those standards as the data team grows Data Pipeline & Integration * Design and build ETL pipelines that move data from operational data stores ...

Arete Technologies, Inc.

Oracle PL SQL Developer

Raleigh, NC · On-site

$49.25 - $62.25/hr

Strong support experience with ability to resolve application issues found during testing or in production. Integration design for data exchange, import and export. Familiar with ETL and FTP to ...

E-Solutions, Inc.

Snowflake Architect

Raleigh, NC · On-site

$62 - $79.75/hr

The ideal candidate will have expertise in Snowflake, SQL, data warehousing, ETL/ELT, data modeling, and cloud platforms (AWS, Azure, or Google Cloud Platform) . Key Responsibilities: * Design and ...

CGI Inc.

Data Engineer and Modeler

Durham, NC · On-site

$110K - $132K/yr

Design and support ETL/ELT processes, ensuring data quality, reliability, and performance across pipelines. . Lead and execute data migration initiatives, including schema mapping, validation ...

Pwc

Data Engineer - Manager

Raleigh, NC · On-site

You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and implement data security practices. Responsibilities - Design and implement thorough data architecture ...

Innosoul inc

Full Stack Java Developer

Raleigh, NC · On-site

$51 - $65.75/hr

NC-805144 Hybrid/Local Full Stack Java Developer (15+) with Spring Boot, Maven, Python/Perl, SOAP/REST, SQL Server/PostgreSQL/Oracle/MySQL/Ingres, legacy system migration, ETL, data pipelines, batch ...

New

Cigna

Software Engineering Senior Advisor- Hybrid

Raleigh, NC · On-site

$119K - $157K/yr

Unit testing; • Delivering scalable software; Modern data ecosystems including Data Lakes, Lakehouse, ELT/ETL pipelines, streaming, and batch processing; • Building scalable data ingestion ...

Compunnel

Informatica MDM Architect

Raleigh, NC · On-site

The ideal candidate will have extensive expertise in Informatica MDM Hub, Match & Merge, data consolidation, ETL technologies, Oracle databases, and Java-based integrations. This role will lead the ...

Fidelity Investments

Director, Architecture

Durham, NC · On-site

Performs Extract, Transform, Load/Extract, Load, Transform (ETL/ELT) tools (preferred Python, Informatica, and Snaplogic), Data Integration frameworks, and best practices (SME). Uses relational ...

Fidelity Investments

Director, Architecture

Durham, NC · On-site

Performs Extract, Transform, Load/Extract, Load, Transform (ETL/ELT) tools (preferred Python, Informatica, and Snaplogic), Data Integration frameworks, and best practices (SME). Uses relational ...

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Etl Testing information

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$78

How much do etl testing jobs pay per hour?

As of Jul 15, 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.

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 Raleigh, NC as of July 2026, with employment types broken down into 69% Full Time, 7% Part Time, 1% Temporary, 6% Contract, 16% Nights, and 1% Summer. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $116,007 per year, or $55.8 per hour.

Data Engineer

Sennos

Durham, NC • On-site

$110K - $132K/yr

Full-time

Re-posted 2 days ago

Job description

About Sennos
Sennos is rapidly emerging as the global leader in AI-driven sensing, analytics, and control for the Fluid, Fermentation, and Bio-manufacturing industries. With a revolutionary integration of hardware, software, and real-time multi-parametric data, we have quietly built the world's most advanced sensing system and largest AI-powered fermentation data warehouse. By owning the entire stack-from sensing hardware to data infrastructure-we have delivered a breakthrough solution that reveals complex biological and chemical interactions, predicts precision outcomes, and enables next-generation production control.
Sennos is a rapidly growing start-up looking for someone who can quickly adapt to a changing environment and who has the desire to grow with us!
Position Summary
The Data Engineer sits within the Data & Analytics organization and supports the development and ongoing improvement of Sennos' modern data platform. This role focuses on building and maintaining data pipelines, implementing transformations, and contributing to a reliable Snowflake-based warehouse that powers analytics, reporting, machine learning, and product capabilities.
Working closely with senior data engineering leadership, data architecture, analytics engineering, and product teams, this role combines hands-on technical execution with growing exposure to data modeling, quality enforcement, and scalable platform development.
Responsibilities
  • Build and maintain ETL/ELT pipelines using SQL and Python under the guidance of senior data engineering leadership
  • Develop and maintain transformations using dbt or similar tools within a Snowflake-based warehouse
  • Create and optimize datasets and views to support analytics, reporting, machine learning, and product feature development
  • Manage ad hoc data requests with accuracy and efficiency while maintaining data integrity and consistency
  • Implement and maintain data quality checks, validation rules, and testing processes to ensure reliability and trust in warehouse data
  • Support the enforcement of data contracts between source systems and the warehouse
  • Assist in reverse ETL workflows to operationalize warehouse data into downstream systems
  • Contribute to ML data preparation and feature pipeline workflows
  • Collaborate closely with Data Architecture, Analytics Engineering, Product, and Software Engineering teams
  • Contribute to documentation, governance practices, and continuous improvement of data engineering standards

Required Qualifications
Education:
  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent years of professional experience)

Experience:
  • 2-4 years of experience in data engineering or a related data-focused role
  • Experience working with ETL/ELT processes and structured warehouse data
  • Exposure to cloud-based data platforms (AWS preferred)

Skills:
  • Strong SQL skills (joins, window functions, and query optimization fundamentals)
  • Proficiency in Python for data processing, scripting, or automation
  • Familiarity with version control systems (e.g., Git)
  • Strong attention to detail and commitment to data accuracy
  • Ability to troubleshoot and debug data workflows effectively
  • Strong written and verbal communication skills
  • Ability to collaborate across technical and non-technical teams

Preferred Qualifications
  • Experience working with Snowflake or similar cloud data warehouses
  • Exposure to dbt or similar transformation frameworks
  • Introductory experience with dimensional modeling concepts
  • Experience implementing data quality tests or validation frameworks
  • Exposure to data contracts or schema management practices
  • Familiarity with reverse ETL concepts
  • Passing experience with workflow orchestration tools (e.g., Airflow, Dagster, or similar)
  • Familiarity with CI/CD practices for data workflows
  • Experience using AI-assisted tools to support debugging, pipeline development, or data engineering workflows
  • Exposure to BI tools (e.g., Power BI, Tableau, Looker)

Team Working Style
  • Collaborative and supportive, with strong mentorship from senior data engineering leadership
  • Focused on building durable foundations while moving quickly to meet evolving needs
  • Values curiosity, precision, and continuous skill development

Physical Requirements and Work Environment
  • Ability to sit for extended periods while working at a computer
  • Office setting with remote/hybrid flexibility
  • Minimal travel required (occasional team meetings or company events)

This job description is intended to convey information essential to understanding the scope of the position and is not an exhaustive list of skills, efforts, duties, responsibilities, or working conditions associated with it. Responsibilities may change according to business needs.
Our company is currently active in 16 states (AZ, GA, ID, IL, FL, MA, ME, MI, MO, NC, NY, TN, TX, OR, VA, and WA), and we prefer candidates located in one of these states for remote positions.
Equal Opportunity Statement
Sennos is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Please Note
Applicants must be permanently authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment visa at this time.
Recruitment Agency Notice:
We do not accept unsolicited candidate submissions. We only work with recruitment agencies that have a signed agreement with our HR team. Unsolicited resumes will not incur any fee obligation.

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