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Entry Level Ibm Data Engineer Jobs in Raleigh, NC

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Power System Engineer (Entry Level) Launch Your Career in Power Engineering SE Engineering, PC is ... care, data centers, and water/wastewater--this is an excellent opportunity to build your career.

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Mathematics, science, computer science, or engineering teaching experience in formal or informal ... Ability to think critically and analyze data to derive meaningful insights * Communication Skills:

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Entry Level Ibm Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do entry level ibm data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for entry level ibm data engineer in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level IBM Data Engineer, and why are they important?

To thrive as an Entry Level IBM Data Engineer, you need foundational knowledge in data modeling, SQL, programming (such as Python or Java), and a relevant degree in computer science or a related field. Familiarity with IBM data tools like Db2, IBM Cloud Pak for Data, and ETL platforms, as well as certifications such as IBM Certified Data Engineer, are highly beneficial. Strong analytical thinking, problem-solving abilities, and effective communication help you collaborate with teams and interpret business requirements. These skills ensure you can design, build, and maintain reliable data solutions that support organizational decision-making and innovation.

What is the difference between Entry Level Ibm Data Engineer vs Data Analyst?

AspectEntry Level Ibm Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; IBM certifications beneficialBachelor's in Statistics, Mathematics, or related field; often requires proficiency in SQL and Excel
Work EnvironmentTech companies, data-driven organizations, often with cloud and IBM toolsBusiness environments, marketing, finance, with focus on data interpretation
Employer & Industry UsageUsed in IT, technology, and enterprise sectors utilizing IBM data toolsCommon across various industries for reporting and insights

While both roles involve working with data, Entry Level Ibm Data Engineers focus on building and maintaining data pipelines using IBM technologies, whereas Data Analysts primarily interpret data to generate reports and insights. The engineering role requires technical skills in data architecture, while analysts focus on data visualization and business understanding.

What does an Entry Level IBM Data Engineer do?

An Entry Level IBM Data Engineer is responsible for assisting in the design, development, and maintenance of data systems using IBM technologies and tools. They work with large datasets to extract, transform, and load (ETL) data, ensure data quality, and support data analytics initiatives. Typically, they collaborate with data scientists, analysts, and other engineers to support business intelligence, reporting, and machine learning projects. This role is ideal for those starting their careers in data engineering and often requires knowledge of programming languages like Python or SQL, as well as IBM software such as Db2 or IBM Cloud Pak for Data.

What are some common challenges faced by entry-level IBM Data Engineers when working on data integration projects?

Entry-level IBM Data Engineers often face challenges such as understanding complex legacy data systems, ensuring data quality during migration, and aligning data formats across different sources. Collaborating with cross-functional teams—including business analysts, database administrators, and senior engineers—can help address these issues, but it requires strong communication skills and a willingness to ask questions. Over time, familiarity with IBM tools like DataStage and Cloud Pak for Data, along with hands-on experience, helps new engineers overcome these initial hurdles and contribute more effectively to integration projects.
What are the most commonly searched types of Ibm Data Engineer jobs in Raleigh, NC? The most popular types of Ibm Data Engineer jobs in Raleigh, NC are:
Infographic showing various Entry Level Ibm Data Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.
Data Engineer - Senior Associate

Data Engineer - Senior Associate

Pwc

Raleigh, NC

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

24th of 73 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, grow your personal brand, and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, and to deliver quality work. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. You will transform raw data into actionable insights, enabling informed decision-making and driving business growth. By using a broad range of tools, methodologies, and techniques, you will generate new ideas and solve problems, contributing to the overall strategy and objectives of your projects. This position offers a chance to develop a deeper understanding of the business context and how it is evolving.
Responsibilities
- Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis
- Developing and maintaining data pipelines, integration, and transformation solutions to support client needs
- Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities
- Applying data architecture development and database management skills to optimize data solutions
- Leveraging Apache Airflow and Apache Hadoop for scalable data processing and workflow management
- Building and managing data lakes and warehouses to support large-scale data storage and retrieval
- Confirming data quality and validation through rigorous testing and performance tuning
- Collaborating with clients to understand their data requirements and deliver actionable insights
- Utilizing Databricks Unified Data Analytics Platform for advanced data analytics and visualization
- Implementing data security best practices to protect sensitive information and maintain compliance
- Applying dimensional modeling and directed acyclic graphs (DAGs) for efficient data organization and processing
- Supporting the development of data strategies to drive business growth and informed decision-making
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Demonstrating proficiency in data engineering platforms like Databricks
- Utilizing cloud platforms such as AWS and Microsoft Azure
- Excelling in data architecture development and data modeling
- Implementing data pipeline and data integration strategies
- Navigating complex data environments with Apache Hadoop and Airflow
- Applying critical thinking to solve data-related challenges

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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