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Entry Level Ibm Data Engineer Jobs (NOW HIRING)

CBTS

Junior Data Engineer (Only W2)

Cincinnati, OH · On-site

$35 - $38/hr

Build and maintain simple data pipelines with guidance (dbt, IBM DataStage, M365 Power Platform ... engineering workflows * Troubleshoot pipeline and data issues with team support * Apply data ...

Concord IT Systems

Cloud Data Engineer

Weehawken, NJ · On-site

$60.50 - $81/hr

Cloud Data Engineer Our challenge As a Cloud Data Engineer, you will be responsible for designing ... You should have strong experience with MS SQL and be familiar with AWS DynamoDB and IBM DB2.

Stellar IT Solutions

AWS Data Engineer

Saint Louis, MO · On-site

$108K - $130K/yr

This is an excellent opportunity for entry level candidates and early-career professionals who want to build expertise in AWS cloud technologies, big data, and modern data engineering. What You'll Do

Atonom

Data Engineer

Provo, UT

$109K - $131K/yr

Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

Atonom

Data Engineer

Provo, UT · On-site

$50K - $90K/yr

Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

Atonom

Data Engineer

Provo, UT · On-site

Salary: $50,000 to $90,000 Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 $90,000 | Entry-Level / 02 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI ...

Venon Solutions

#975 - Data Engineer (Odoo)

$117K - $140K/yr

Venon Solutions is seeking a Senior Data Engineer to support a client's modernization of its legacy ... Preferred : • Experience with AS400 / IBM i environments. • Experience with IBM DB2, including ...

SynergisticIT

Entry Level Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Data Engineers & AI/Machine Learning Engineers Preferred Skills For Java/Full Stack/DevOps Roles: * Bachelor's or Master's degree in CS, CE, EE, IT, or related * Experience or knowledge in Core Java ...

SynergisticIT

Entry Level Data Engineer

$117K - $140K/yr

Data Engineers & AI/Machine Learning Engineers Preferred Skills For Java/Full Stack/DevOps Roles: * Bachelor's or Master's degree in CS, CE, EE, IT, or related * Experience or knowledge in Core Java ...

PrizePicks

Data Engineer

Atlanta, GA · On-site +1

$105K - $140K/yr

This is an entry-level role where you will work on well-defined pipeline and data tasks under guidance, building your skills across the full data engineering stack while contributing to a modern ...

GMV

Data Engineer

New Albany, IN · On-site +1

$105K - $127K/yr

We are an engineering and innovation company working in different areas. Within the IT sector we ... IBM Watson, AWS AI, Google AI, etc.), and big data architectures to respond to the needs of a ...

PrizePicks

Data Engineer

Atlanta, GA · On-site +1

$105K - $140K/yr

This is an entry-level role where you will work on well-defined pipeline and data tasks under guidance, building your skills across the full data engineering stack while contributing to a modern ...

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All JobsIbm Data Engineer JobsEntry Level Ibm Data Engineer Jobs

Entry Level Ibm Data Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Jul 6, 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, 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.
More about Entry Level Ibm Data Engineer jobs
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Entry Level Ibm Data Engineer jobs near you
Infographic showing various Entry Level Ibm Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Junior Data Engineer (Only W2)

Junior Data Engineer (Only W2)

CBTS

Cincinnati, OH • On-site

$35 - $38/hr

Other

Posted 7 days ago

Job description

Role: Data Engineer I

Location: Cincinnati, OH _ Onsite

Pay Rate: $35-38/hour on W2, client will not consider C2C

Early Career Data Engineer

  • Build and maintain simple data pipelines with guidance (dbt, IBM DataStage, M365 Power Platform)
  • Write SQL queries and perform basic data transformations (DB2, Snowflake)
  • Support data ingestion, validation, and loading processes - ETL/ELT
  • Maintain and update Power BI reports, including refreshing data, troubleshooting issues, and making minor enhancements to visuals and dashboards
  • Use generative AI tools to automate routine tasks, accelerate development, and improve productivity in data engineering workflows
  • Troubleshoot pipeline and data issues with team support
  • Apply data quality checks and assist with data validation
  • Follow data management practices (lineage, documentation, data dictionaries)
  • Work within SDLC processes (version control, CI/CD, change management) - Agile Development
  • Complete assigned development tasks in agile sprints
  • Write clean, testable, and reusable code
  • Perform basic testing (unit/integration) and help reduce defects
  • Collaborate with team members and participate in agile ceremonies
  • Document data flows, logic, and technical work
  • Learn FDIC business context and how data supports the FDIC Program
  • Follow governance, security, and compliance standards

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