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Entry Level Etl Developer Jobs in Raleigh, NC (NOW HIRING)

DPR Construction

PCA Data Engineer

Raleigh, NC

$111K - $133K/yr

Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data ... Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet ...

DPR Construction

PCA Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data ... Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet ...

Pwc

Data Engineer - Senior Associate

Raleigh, NC

$77K - $202K/yr

... and enhancing ETL/ELT pipelines for data ingestion, processing, and storage - Developing and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Infosys

Teamcenter Consultant

Raleigh, NC · On-site

... ETL processes, and ensuring consistent data flow between ERP and other applications • Assess ERP ... Overview The Infosys Engineering unit is dedicated to amplifying product-centric value delivery ...

NCSU

CLAWS Manufacturing Systems Engineer

Raleigh, NC

... Engineer Anticipated Hiring Range Commensurate with Education and Experience Work Schedule Monday ... Develop and maintain APIs, ETL processes, and scheduled jobs to support workflows. * Enable clean ...

Accenture

Google Data Specialist

Raleigh, NC · On-site

$70K - $196K/yr

Build data pipelines, ETL/ELT processes, and integrations using GCP services such as: BigQuery ... Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation.

stafright

SAP PI Administrator

Raleigh, NC

... Engineers and Enterprise Architects. \n 7 plus years integration and technical experience within ... ETL concepts. Experience in A2A, B2B and EAI Integrations \n Coordinate, design and implement ...

Deloitte

OneStream Consultant

Raleigh, NC

Experience working with ETL tools and databases or integrations * Experience writing business rules * Experience supporting finance transformation, enterprise resource planning, or planning platform ...

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Entry Level Etl Developer information

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$78

How much do entry level etl developer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for entry level etl developer 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 are the key skills and qualifications needed to thrive in the Entry Level Etl Developer position, and why are they important?

To thrive as an Entry Level ETL Developer, you should have a solid understanding of database concepts, SQL, and data processing, typically supported by a degree in computer science or a related field. Familiarity with ETL tools such as Informatica, Talend, or Microsoft SSIS, and an understanding of data warehousing concepts are highly beneficial, as are relevant entry-level certifications. Attention to detail, strong problem-solving skills, and the ability to communicate effectively with technical and non-technical stakeholders will set you apart. These skills are essential for accurately transforming and integrating data to meet business needs while collaborating efficiently within a team.

How do I become an ETL developer?

To become an ETL developer, you should gain a strong understanding of database systems, data warehousing, and ETL tools such as Informatica, Talend, or Apache NiFi. Developing skills in SQL, scripting languages like Python or Bash, and understanding data modeling are essential, along with relevant certifications or training programs. Entry-level roles often require a bachelor's degree in computer science, information technology, or a related field.

Is ETL outdated?

ETL (Extract, Transform, Load) remains a fundamental process in data integration and warehousing, and ETL developer roles are still in demand. While newer data processing tools like ELT and cloud-based solutions are emerging, ETL skills are valuable for managing large-scale data workflows and maintaining legacy systems.

What is an Entry Level ETL Developer job?

An Entry Level ETL Developer is responsible for designing, developing, and maintaining ETL (Extract, Transform, Load) processes to move data from various sources to a data warehouse or other storage systems. They work with databases, data mapping, and ETL tools like Informatica, Talend, or SQL Server Integration Services (SSIS). Their role includes ensuring data accuracy, optimizing performance, and troubleshooting ETL pipelines. Typically, they collaborate with data analysts, engineers, and business stakeholders to support data-driven decision-making.

Are ETL developers in demand?

ETL developers are in high demand due to the increasing need for data integration and management in organizations. Skills in SQL, data warehousing, and ETL tools like Informatica or Talend enhance job prospects, especially as companies focus on data-driven decision making.

Will AI replace ETL?

AI can automate certain aspects of ETL (Extract, Transform, Load) processes, improving efficiency and reducing manual effort. However, ETL developers are still needed to design, oversee, and troubleshoot data workflows, as human expertise is essential for complex data integration tasks and ensuring data quality. AI tools are seen as complementary rather than a complete replacement for ETL roles.

What are some typical day-to-day responsibilities for an Entry Level ETL Developer?

As an Entry Level ETL Developer, your day-to-day tasks often include developing and testing ETL scripts, supporting data integration processes, and troubleshooting data issues under the guidance of senior team members. You may work closely with business analysts and database administrators to define data requirements and ensure data accuracy. Additionally, you’ll help maintain documentation for data flows and transformation logic, and participate in team meetings or code reviews. This collaborative environment is designed to help you learn best practices and develop your technical skills while contributing to key data projects.

What are the most commonly searched types of Etl Developer jobs in Raleigh, NC? The most popular types of Etl Developer jobs in Raleigh, NC are:
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Entry Level Etl Developer jobs near you
Infographic showing various Entry Level Etl Developer job openings in Raleigh, NC as of July 2026, with employment types broken down into 81% Full Time, 8% Part Time, 1% Temporary, and 10% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $116,007 per year, or $55.8 per hour.
Lead Exposure Data Scientist

Lead Exposure Data Scientist

UL Research Institutes

Morrisville, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Job Description
We have an exciting opportunity for a Lead Exposure Data Scientist at UL Research Institutes, based in our Morrisville, NC office.
The Lead Exposure Data Scientist will be responsible for assisting in the development and maintenance of the data analysis infrastructure to support Chemical Insights' mission of advancing human and environmental health. This role focuses on developing data analysis pipelines, ensuring efficient data exchange and interoperability across diverse platforms and scientific disciplines, and applying advanced machine learning/AI methods and statistical frameworks to identify and quantify trends or patterns in complex, large scale datasets. The Lead Exposure Data Scientist works closely with Chemical Insights scientists and external collaborators to deliver high-quality scientific data that informs chemical exposure assessment, risk assessment, regulatory decisions, and public health guidance.
UL Research Institutes:
At UL Research Institutes (ULRI), we expand the boundaries of safety science to create a more secure and sustainable world. For more than a century, we have studied the unintended consequences of innovation, designed solutions to mitigate risk and shared our findings with academia, scientists, manufacturers, and policymakers across industries. We identify critical safety and sustainability issues, asking the tough questions because we believe a safer world begins with knowledge.
Build a safer, more secure, and sustainable future with us. Join us and work with our Chemical Insights Research Institute, teams who conduct the research required to produce that knowledge and put it into practice.
Chemical Insights Research Institute:
The Chemical Insights Research Institute (CIRI) contributes to the protection of public health and well-being by conducting scientific research. Our research and initiatives let people around the world know what chemicals are in the air we breathe and how they affect human health and the planet. We share our research and knowledge through information and application tools with leaders in the scientific, business, and policy communities to raise awareness of human health risks stemming from emerging technologies. To learn more, visit: chemicalinsights.org
What you'll learn and achieve:
As the Lead Exposure Data Scientist, you will play a key role in the rapid growth of UL as you:
  • Design and implement cutting-edge data science methods for chemical exposure.
  • Work as part of a team to extract, curate, and harmonize structured and unstructured chemical exposure, product ingredient, biomonitoring, and environmental contamination data.
  • Develop and implement quality assurance plans for data curation projects.
  • Design and implement artificial intelligence and machine learning solutions to automate data extraction, curation, and quality evaluation of structured and unstructured data.
  • Develop and implement data mapping and extraction, transformation, and load (ETL) pipelines for efficient exchange of data between established chemical safety and exposure data systems (e.g., IUCLID, MMDB, CPDat).
  • Develop statistical and machine learning models to predict chemical functional use and exposure pathways.
  • Collaborate with exposure scientists, toxicologists, analytical chemists, and toxicokinetic scientists to provide solutions for linking cross-disciplinary data, computational modeling, and interpreting experimental results.
  • Work closely with software and database engineers to provide high-quality chemical exposure data for on-line software applications and decision support tools.
  • Effectively communicate complex technical concepts, methodologies, and results to diverse audiences, including senior management, amplification partners, and data stakeholders.
  • Stay up to date with the latest research and advancements in data science, machine learning, and artificial intelligence, and contribute to the development of new methodologies and best practices.
  • Present research findings at scientific conferences, stakeholder meetings, and technical forums.
  • Serve as co-author on peer-reviewed publications and technical reports.
  • Assist in writing research proposals and securing funding from internal and external sources.
  • Provide technical support and troubleshooting for data-related issues.
  • Perform other duties as assigned.

What you'll experience working at UL Research Institutes: We have pursued our mission of working for a safer, more secure, and sustainable world for nearly 130 years, embedding conscientious stewardship into everything we do.
  • People: Our people make us special. You'll work with a diverse team of experts respected for their independence and transparency and build a network, because our approach is collaborative. We collaborate across disciplines, organizations, and geographies to build the global scientific response that today's global challenges require.
  • Interesting work: Every day is different for us here. We see what's on the horizon and use our expertise to build the foundations of a safer future. You'll have the opportunity to push the boundaries of human understanding as part of a team working to advance the public good.
  • Grow and achieve: We learn, work, and grow together through targeted development, reward, and recognition programs
  • Values. Four core values guide our work: collaboration, respect, integrity, and beneficence. By living our values, we inspire the trust essential to fulfilling our mission and foster the partnerships that enable us to pursue a beneficent future in which we all can thrive.
  • Total Rewards: All employees at UL Research Institutes are eligible for bonus compensation. We offer comprehensive medical, dental, vision, and life insurance plans and a generous 401k matching structure of up to 5% of eligible pay. Moreover, we invest an additional 4% into your retirement saving fund after your first year of continuous employment. Depending on your role, you may be able to discuss flexible working arrangements with your manager. We also provide employees with paid time off, including vacation, holiday, sick, and volunteer days.

What makes you a great fit:
While no one candidate will embody every quality, the successful candidate will bring many of the following professional competencies and personal attributes:
  • Proficiency in programming and statistical languages (e.g. Python, Java, R).
  • Knowledge of machine learning, statistical modeling, and data visualization tools.
  • Working knowledge of exposure science, chemistry, and toxicokinetics.
  • Understanding of relational and non-relational database systems.
  • Proven ability to participate in multidisciplinary teams on complex projects in a research setting.
  • Demonstrated problem-solving and analytical capabilities, with the ability to adapt to new challenges and prioritize competing demands.
  • Willingness to learn and research new concepts and technologies.
  • Ability to communicate with technical and non-technical internal stakeholders.
  • Skilled in versioning best practices, i.e. GitHub, Code Commit.

Professional education and experience requirements for the role include:
  • Master's Degree in Environmental Health, Data Science, Chemistry, or Chemical Engineering and at least 5 years of relevant experience; or
  • Doctoral Degree in Environmental Health, Data Science, Chemistry, or Chemical Engineering and at least 3 years of relevant experience.
  • Solid technical knowledge and experience working with R, Java or Python programming language, relational (SQL and Postgres) databases.
  • Demonstrated experience in developing data extraction and curation workflows for structured and unstructured chemical exposure data in a research environment.

About UL Research Institutes and UL Standards & Engagement
UL Research Institutes and UL Standards & Engagement are nonprofit organizations dedicated to advancing safety science research through the discovery and application of scientific knowledge. We conduct rigorous independent research and analyze safety data, convene experts worldwide to address risks, share knowledge through safety education and public outreach initiatives, and develop standards to guide safe commercialization of evolving technologies. We foster communities of safety, from grassroots initiatives for neighborhoods to summits of world leaders. Our organization employs collaborative and scientific approaches with partners and stakeholders to drive innovation and progress toward improving safety, security, and sustainability, ultimately enhancing societal well-being.
To learn more, visit our websites UL.org and ULSE.org.
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