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Entry Level Ibm Data Engineer Jobs (NOW HIRING)

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... entry-level positions. You'll receive a status update email for each application, so be sure to ...

New

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... entry-level positions. You'll receive a status update email for each application, so be sure to ...

New

Data Engineer - Azure

Weehawken, NJ · On-site

$124K - $149K/yr

Cloud Data Engineer/Strong in Azure Location - Weehawken NJ - Hybrid Type: FTE / Direct Hire We are ... You should have strong experience with MS SQL and be familiar with AWS DynamoDB and IBM DB2.

Data Engineer II

Cincinnati, OH

$86K - $96K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

IBM Db2 * Snowflake What You'll Do Role Overview The Consumer Profitability & Insights (CP&I) team is looking for a Data Engineer II to help build, support, and modernize critical data products that ...

NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... entry-level positions. You'll receive a status update email for each application, so be sure to ... engineering, RAG, fine-tuning, and evaluation of generative models. ABOUT BUSINESS UNIT IBM ...

New

Full-Stack Data Engineer (TS/SCI)

Hampton, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our data engineering team leverages open-source and enterprise languages and tools to pull, clean ... YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to ...

New

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

ComResource is looking for a Data Engineer. We need someone to assist in calculating FDIC insurance ... Desired: * Experience with IBM DB2 and DataStage. * Familiarity with modern data tools like ...

Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

RIT Solutions, Inc. is seeking an experienced Data Engineer to support a major bank‐to‐bank ... IBM DataStage, Python • Financial or debit/transaction data experience • Prior work on data ...

IBM Data power (USC&GC)ONLY

Phoenix, AZ

$113K - $136K/yr

At least 1 year of experience with IBM API Connect (formerly IBM API Management) * At least 2 years of experience with IBM DataPower * Extensive experience designing and developing RESTful APIs

Exposure to IBM Data Power * Experience in Agile Project Delivery * Analytical skills Qualifications * Bachelor's degree or foreign equivalent required from an accredited institution. Will also ...

Data Engineer

Washington, DC · On-site

$93K - $176K/yr

Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar As required by local ...

Data Engineer

Washington, DC · On-site

$93K - $176K/yr

Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar As required by local ...

Data Engineer

Arlington, VA · On-site

$93K - $176K/yr

Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar As required by local ...

Showing results 21-40

Entry Level Ibm Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Aug 16, 2026, the average yearly pay for entry level ibm data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 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?

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.
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Infographic showing various Entry Level Ibm Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Co-Op Data Engineer - 2027

IBM

University Park, PA • On-site

Other

Posted 2 days ago

New


IBM rating

8.0

Company rating: 8.0 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

122nd of 244 rated software companies


Job description

Introduction

Launch your career like an IBMer

Every IBMer has a story. For many, it started with an internship. As an IBM intern, you won’t just gain experience - you’ll start thinking, working, and growing like an IBMer.

From day one, you’ll contribute to real client projects across diverse industries, including analytics, AI adoption, generative AI, and agentic AI-enabled transformation, working alongside experienced IBMers who are invested in your success. You’ll be challenged, supported, and inspired, often all in the same day. You’ll develop technical expertise and consulting skills in a culture built on continuous learning, mentorship, and coaching. High-performing interns have a clear pathway into IBM’s Associate Program, launching careers at one of the world’s most innovative technology and consulting companies.

To give yourself the best opportunity for success, we advise applying only to roles that align with your skills and experience, rather than applying broadly across all entry-level positions. You’ll receive a status update email for each application, so be sure to check your IBM Careers account regularly - it’s the best way to get a centralized view of which roles you have active applications against.

Your role and responsibilities

During your Co-Op, you can build data science and AI skills by contributing to client projects that use statistics, machine learning, data science, GenAI, and agentic AI solution patterns. This role provides an opportunity to build a compelling portfolio, acquire new skills, gain insight into diverse industries, and contribute to client-ready analytical and AI solution components with guidance from IBM teams. At IBM, we prioritize continuous learning, skill development, and personal growth within a culture of coaching and mentorship. As an intern, you’ll strengthen technical, analytical, and consulting skills while learning responsible AI practices, and you could advance to our full-time Associates program based on results and performance.

Support strategic consulting initiatives focused on Enterprise Application Integration (EAI). Assist in analyzing business processes, integration challenges, and technology strategies while working with consultants and stakeholders to identify opportunities for improving business outcomes through connected systems and digital transformation.

Key Responsibilities:

  • Conduct research on integration trends, APIs, middleware, cloud platforms, and emerging technologies.
  • Support assessments of business processes and application landscapes.
  • Assist in developing strategy recommendations, presentations, and client deliverables.
  • Analyze data and identify integration opportunities across enterprise systems.
  • Participate in workshops, stakeholder interviews, and requirements gathering sessions.
  • Contribute to business cases, roadmaps, and transformation strategies.
  • Support project planning and change management activities.
  • Co-op Schedule: Year-long co-op at Penn State University Park, starting May 2027; up to 20 hrs/week during classes and 40 hrs/week during academic breaks.

Required education

High School Diploma/GED

Preferred education

Bachelor’s Degree

Required technical and professional expertise

  • Pursuing a degree in Business, Information Systems, Computer Science, Engineering, or related field.
  • Strong analytical and problem-solving skills.
  • Interest in digital transformation, enterprise architecture, and integration technologies.
  • Excellent communication and presentation abilities.
  • Familiarity with cloud, APIs, data integration, or enterprise applications is preferred.
  • Core Competencies: Strategic Thinking, Business Analysis, Collaboration, Research, Communication, Adaptability
  • Ability to work up to 20 hours per week when classes are in session (fall/spring semesters) and up to 40 hours per week during academic breaks (e.g., summer).

Preferred technical and professional experience

  • Can understand clients’ needs and challenges, applying a creative and logical approach to identify solutions.
  • Demonstrate foundational quantitative analysis skills and ability to develop data driven recommendations.
  • Exposure to one of the following programming technologies (e.g., JavaScript, HTML, XML, SQL) is a plus.
  • Exposure to Cloud native projects (academic, personal, or internship count); Agile ways of working (ambiguous requirements, evolving scope); Programming (read, debug, and explain code).
  • Exposure to Microservices architect and cloud platforms (Azure, AWS).
  • Exposure to cloud and AI concepts such as Azure services, data platforms, security, and AI models through coursework, labs, internships, or personal projects, with a willingness to keep learning.
  • Exposure to tools like Copilot, ChatGPT, or similar AI assistants to research, write, analyze, and improve productivity, while applying critical thinking and validation.

ABOUT BUSINESS UNIT

IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

Supplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law.

This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role.

We consider qualified applicants with criminal histories, consistent with applicable law.

IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

Job Title

Co-Op Data Engineer 2027

Date posted

13-Aug-2026

Job ID

128562

City / Township / Village

University Park

State / Province

Pennsylvania

Country

United States

Work arrangement

Onsite

Area of work

Data & Analytics

Employment type

Co-Op (Fixed Term)

Contract type

Internship

Projected Minimum Salary per year

48,540.00

Projected Maximum Salary per year

88,990.00

Position type

Internship

Travel required

Up to 100% or 5 days a week (home on weekends - based on project requirements)

Company

(0147) International Business Machines Corporation

Shift

General (daytime)

Is this role a commissionable/sales incentive based position?

No


What IBM employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


IBM logo

About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

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