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Entry Level Ibm Data Engineer Jobs (NOW HIRING)

Dashboard design, KPI reporting, automation Data Engineering Track: * Python/Java, Spark, Airflow ... IBM Data Science, AWS Data Analytics, Microsoft Power BI, and more-while building real-world ...

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 ...

Familiarity with one or more data integration or cloud data tools from Microsoft, IBM, or AWS is ... Work with analysts, developers, and business stakeholders to understand data requirements and ...

Familiarity with one or more data integration or cloud data tools from Microsoft, IBM, or AWS is ... Work with analysts, developers, and business stakeholders to understand data requirements and ...

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 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 ...

IBM Data power (USC&GC)ONLY

Phoenix, AZ · On-site

$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

Entry Level Data/AI Engineer

San Diego, CA · On-site

$121K - $146K/yr

Entry-Level Data & AI Consultant CCS Global Tech is a Microsoft Solutions Partner and technology ... BI Developer * SQL Developer * Data Engineer * Data Integration Specialist * AI/Data Consultant ...

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 ...

Adobe AEP engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Adobe AEP engineer Job Location: Phoenix, AZ Job Type: Contract * Adobe Experience Platform AEP ... IBM Data Stage * Experience of ELT tools such as DBT Fivetran and AWS Glue * Expert in SQL ...

Apply Early

Jr data engineer -CTH

Cincinnati, OH · On-site

$109K - $132K/yr

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 ...

Cloud Data Engineer (Entry-level)

Manhattan, NY · On-site

$126K - $151K/yr

Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists. We welcome candidates with all visas and citizens to apply. Who ...

3 days onsite, Houston TX Senior DB2 SQL Data Engineer We are seeking a Senior DB2 SQL Data ... This role requires extensive hands-on experience in IBM iSeries tools like Aldon, RDI, and ACS ...

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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
What cities are hiring for Entry Level Ibm Data Engineer jobs? Cities with the most Entry Level Ibm Data Engineer job openings:
What are the most commonly searched types of Ibm Data Engineer jobs? The most popular types of Ibm Data Engineer jobs are:
What states have the most Entry Level Ibm Data Engineer jobs? States with the most job openings for Entry Level Ibm Data Engineer jobs include:
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.
Data Engineer II

Data Engineer II

SynergisticIT

Boston, MA • On-site

Other

Posted 11 days ago


Job description

Job Description
Launch Your Data Career with Proof, Not Promises-At SynergisticIT
If you're serious about starting a high-impact, high-paying career in Data Science, Analytics, or Engineering, it's time to stop guessing and start choosing results. At SynergisticIT, we don't just offer training-we offer outcomes.
Our candidates have landed jobs at top tech firms like Google, Apple, Client, Visa, PayPal, and countless startups and mid-sized tech teams. Whether you're transitioning from business, healthcare, teaching-or you're a self-taught coder or bootcamp grad-we help bridge that final gap between potential and placement.
See for yourself: Candidate Success Outcomes
Watch our live events and tech Industry interaction videos:
SynergisticIT Media events Videos
Specializations That Match Market Demand
Data Science Track:
  • Python, Pandas, NumPy, Scikit-Learn
  • Machine Learning (supervised/unsupervised), TensorFlow, Deep Learning, NLP
  • Model deployment, A/B testing, business impact communication
Data Analytics Track:
  • SQL, Excel, Power BI, Tableau
  • Exploratory Data Analysis, visualization, statistical inference
  • Dashboard design, KPI reporting, automation
Data Engineering Track:
  • Python/Java, Spark, Airflow, Databricks
  • ETL architecture, Snowflake, S3, BigQuery, Redshift
  • Infrastructure-as-code and cloud data platforms (AWS, Azure)
Why Candidates Choose SynergisticIT (and Get Hired)
Career-First - Every tool, platform, and project is mapped to the current job market across fintech, healthtech, and SaaS companies.
Certification Support - Boost your résumé with IBM Data Science, AWS Data Analytics, Microsoft Power BI, and more-while building real-world, deployable projects that hiring managers love.
Mock Interviews + Mentorship - Work to refine your technical thinking, build interview confidence, and master both whiteboard and behavioral rounds.
Placement-Focused Guidance -We support you through applications, recruiter connections, tech screens, and salary negotiations-until you are hired
Who We Help
  • New graduates unsure how to translate education into employment
  • Career switchers with analytical backgrounds ready to enter tech
  • Bootcamp and certificate holders seeking structure and hiring results
  • International candidates on OPT/STEM needing placement and visa security
  • Anyone tired of applying with no results-and ready to change that
Data roles are exploding-but only if you're ready to deliver real value.
Let us help you prove it.
Click here to explore real candidate outcomes
Watch us Interact with top Tech employers
We place.
Let's turn your knowledge into your next offer.