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Entry Level Ibm Data Engineer Jobs (NOW HIRING)

Nightwing

Data Engineer

Sterling, VA · On-site

$113K - $136K/yr

Azure Data Engineer Associate • Google Cloud Certified Professional Cloud Data Engineer • IBM Data Engineering Professional Certificate • IBM Data Warehouse Engineer Professional Certificate ...

NAVA Software Solutions

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.

ComResource

Data Engineer

Cincinnati, OH

$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 ...

Sonsoft Inc

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

Accenture Federal Services

Data Engineer

Arlington, VA

$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 ...

Accenture Federal Services

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 ...

Sonsoft Inc

IBM API Connect

Hartford, CT · On-site

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 ...

Staffingine LLC

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 ...

Reality Defender

Data Engineer

New York, NY · Remote

$140K - $180K/yr

... IBM, Accenture, Rackhouse, and Argon VC, Reality Defender works with leading enterprise clients ... We're looking for a Data Engineer who can build and scale the infrastructure powering our data ...

Reality Defender

Data Engineer

New York, NY · Remote

$140K - $180K/yr

... IBM, Accenture, Rackhouse, and Argon VC, Reality Defender works with leading enterprise clients ... We're looking for a Data Engineer who can build and scale the infrastructure powering our data ...

Reality Defender

Data Engineer

New York, NY · On-site +1

$140K - $180K/yr

... IBM, Accenture, Rackhouse, and Argon VC, Reality Defender works with leading enterprise clients ... We're looking for a Data Engineer who can build and scale the infrastructure powering our data ...

CEDENT

DB2 SQL Data Engineer

Houston, TX

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 ...

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

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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 27, 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, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Nightwing

Sterling, VA • On-site

$113K - $136K/yr

Full-time

Posted 11 days ago

Job description

Job Summary:
Nightwing Intelligence Solutions is a company that provides advanced cyber and data operations services. They are seeking a Data Engineer to work on engineering, installing, operating, and sustaining databases and repositories, ensuring data collections are processed efficiently and supporting mission partners with their analytics and dissemination needs.
Responsibilities:
• Develop and maintain data and metadata policies and procedures for structural design and development to build, maintain and leverage the unified data storage, data lake, and lake house. ensuring integration with SYSTEM data standards.
• Engineer the design, development, deployment, implementation and support of major databases and metadata structures to include the review and evaluation of database performance and optimization.
• Develop plans for, and tools to enhance, the transition of legacy data to the SYSTEM during install as well as transition of development and/or production environment to new technology
• Recommend and plan server/ cloud compute/storage resource recapitalization for Sponsor consideration
• Provide comprehensive assessments of the technical characteristics of proposed installations and alternatives considered to optimize database performance
• Develop methods of ensuring data incompatibilities among systems are systematically eliminated
• Diagnose, isolate and expediently resolve complex problems pertaining to data infrastructure
• Baseline and forecast server performance data; refine server hardware and software configurations
• Manage, monitor and administer database system performance/schedule activities; oversee daily performance; perform backups/restores; archive data; provide technical assistance and support
• Monitor industry trends and directions in database technology and tools; develop and present substantive technical recommendations to the Sponsor.
• Compose technical documents including Design, Deployment, System specifications and Mission Partner baselines, updates, user's manuals, training materials, installation guides, proposals, and reports.
Qualifications:
Required:
• SQL: Proficiency in writing and executing SQL queries for data manipulation and analysis.
• Data Modeling: Understanding of data modeling principles and ability to design data structures that meet business requirements.
• ETL/ELT Processes: Experience with Extract, Transform, and Load (ETL) or Extract, Load, and Transform (ELT) processes and tools.
• Cloud Platforms: Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
• Programming Languages: Proficiency in Python or Java for data manipulation and scripting.
• Data Warehousing: Understanding of data warehousing concepts and experience with data warehouse technologies.
• Data Governance and Security: Knowledge of data governance principles and best practices for data security and privacy.
Preferred:
• Big Data Technologies: Experience with technologies like Apache Hadoop, Spark, or Kafka.
• Data Visualization: Ability to create data visualizations using tools like Tableau or Power BI.
• Data Pipeline Orchestration: Experience with data pipeline orchestration tools like Airflow or Luigi.
• Data Quality Tools: Familiarity with data quality tools and techniques for identifying and resolving data quality issues.
• Data Wrangling: Experience with data wrangling techniques for cleaning, transforming, and preparing data for analysis.
• AWS Certified Data Analytics Specialty
• Microsoft Certified: Azure Data Engineer Associate
• Google Cloud Certified Professional Cloud Data Engineer
• IBM Data Engineering Professional Certificate
• IBM Data Warehouse Engineer Professional Certificate
• Meta Database Engineer Professional Certificate
Company:
Nightwing provides cyber, data operations, systems integration, and intelligence services for government and commercial customers. Founded in 2024, the company is headquartered in Sterling, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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