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Full Time Ibm Data Engineer Jobs (NOW HIRING)

Data Engineer

$117K - $140K/yr

Implement best practices for data modeling to ensure efficient reporting in IBM Cognos Analytics ... Support Cognos report developers in structuring data efficiently to meet reporting needs. Implement ...

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

$117K - $140K/yr

... Engineer, IBM Certified Data Engineer, or similar Company : Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is ...

Data Engineer

$117K - $140K/yr

... Engineer, IBM Certified Data Engineer, or similar Company : Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

... Engineer, IBM Certified Data Engineer, or similar Company : Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is ...

Data Engineer

$117K - $140K/yr

... Engineer, IBM Certified Data Engineer, or similar Company : Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

... Engineer, IBM Certified Data Engineer, or similar Company : Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is ...

Data Engineer

$117K - $140K/yr

... Engineer, IBM Certified Data Engineer, or similar Company : Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is ...

Preferred At least 4 years of experience with IBM IIB, WMB, Datapower At least 4 years of ... Note:- * This is a Full-Time Permanent job opportunity for you. * Only US Citizen, Green Card ...

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 ...

The engineer will lead end-to-end database migration projects and ensure data integrity and ... Required : • 8 years of hands-on experience administering IBM DB2 databases in enterprise ...

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 ... This is a Full-Time & Permanent job opportunity for you. 2.Only US Citizen Green Card Holder can ...

Exposure to IBM Data Power * Experience in Agile Project Delivery * Analytical skills ... This is a Full-Time / Permanent job opportunity . Only US Citizen, Green Card Holder, GC-EAD,H4-EAD ...

Exposure to IBM Data Power * Experience in Agile Project Delivery * Analytical skills * Experience ... This is a Full-Time / Permanent job opportunity . Only US Citizen, Green Card Holder, GC-EAD,H4-EAD ...

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Full Time Ibm Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do full time ibm data engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for full time 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 is the difference between Full Time Ibm Data Engineer vs Data Analyst?

AspectFull Time Ibm Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certifications, IBM-specific trainingBachelor's in Statistics, Data Analysis, or related field; certifications like Microsoft Data Analyst
Work EnvironmentData engineering teams, cloud platforms, enterprise IT environmentsBusiness units, reporting tools, data visualization platforms
Employer & Industry UsageTech companies, finance, healthcare using IBM technologiesRetail, marketing, finance across various industries

Full Time IBM Data Engineers focus on building and maintaining data pipelines, working with large-scale data systems, and implementing data architecture using IBM tools. Data Analysts interpret data, create reports, and support decision-making. While both roles work with data, Data Engineers handle infrastructure, whereas Data Analysts focus on insights and visualization.

What are some common challenges faced by full-time IBM Data Engineers, and how can they be addressed?

Full-time IBM Data Engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality, and optimizing data pipelines for performance. Working with large-scale enterprise systems requires familiarity with IBM's data platforms and cloud services, as well as strong problem-solving skills. Collaborating closely with data scientists, analysts, and other engineers is essential for aligning data solutions with business needs. Staying current with IBM's evolving technologies and participating in ongoing training can help address these challenges effectively.

What are the key skills and qualifications needed to thrive as a Full Time IBM Data Engineer, and why are they important?

To thrive as a Full Time IBM Data Engineer, you need strong skills in data modeling, SQL, programming languages like Python or Scala, and a relevant degree in computer science or engineering. Familiarity with IBM data platforms (such as IBM Db2, IBM Cloud Pak for Data, or IBM DataStage), big data frameworks, and certifications like IBM Certified Data Engineer are often required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with cross-functional teams and translating business needs into technical solutions. These competencies enable data engineers to design robust data pipelines, ensure data quality, and drive informed decision-making within organizations.

What does a Full Time IBM Data Engineer do?

A Full Time IBM Data Engineer is responsible for designing, building, and maintaining data pipelines and architectures to support large-scale data processing within organizations using IBM technologies. They work with data integration, transformation, and storage solutions, ensuring data is accessible, reliable, and secure for analytics and business intelligence. Their role often includes collaborating with data scientists, analysts, and other IT professionals to optimize data workflows and implement best practices for data management.
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$117K - $140K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
We are seeking a skilled Data Engineer with AWS experience to design and develop ETL jobs for a DB2 data warehouse to support Cognos reporting needs. The ideal candidate will work closely with business intelligence teams to ensure efficient data extraction, transformation, and loading processes while optimizing database performance. This role requires strong expertise in DB2, AWS, and ETL development.
Key Responsibilities:
Design, develop, and maintain ETL jobs to ingest, transform, and load data into the DB2 data warehouse for Cognos reporting.
Utilize AWS services (S3, EC2, RDS, Step Functions, etc.) to optimize data processing workflows.
Implement best practices for data modeling to ensure efficient reporting in IBM Cognos Analytics.
Work with business and reporting teams to gather data transformation requirements and build pipelines accordingly.
Develop and optimize SQL queries, stored procedures, and indexing strategies for DB2.
Ensure data integrity, quality, and performance tuning of ETL processes.
Manage large-scale data migration and integration projects between cloud and on-prem DB2 systems.
Automate data workflows using AWS services.
Monitor, troubleshoot, and optimize ETL processes for performance and reliability.
Support Cognos report developers in structuring data efficiently to meet reporting needs.
Implement security, compliance, and data governance best practices for handling sensitive data.
Qualifications:
5+ years of experience in ETL development, data engineering, and data warehousing.
Strong hands-on experience with AWS services (S3, RDS, Redshift, etc.).
Expertise in DB2 database development, including SQL, stored procedures, and performance tuning.
Proficiency in Python or Shell scripting for automation.
Experience with IBM Cognos Analytics and understanding of reporting structures.
Strong problem-solving, analytical, and communication skills.
Experience working in Agile and DevOps environments.
Preferred Qualifications:
Bachelor's degree in computer science, Information Systems, or a related field.
Experience in Medicaid and/or Healthcare Plan environment is strongly preferred.
Knowledge of DB2 on AWS Cloud.
AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect is a plus.