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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 ...

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 ...

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Sr Data Engineer

Plano, TX · On-site

$109K - $131K/yr

IBM DataStage * Python * Full Stack Development experience * Experience designing and supporting enterprise data solutions Preferred Skills * Kafka * AI/ML experience * Advanced Analytics experience

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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 ...

Junior Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Hands-on experience with IBM DataStage, SQL, Python, Snowflake, and dbt. * Basic understanding of ... Familiarity with cloud-based data platforms and modern data engineering practices. * Exposure to ...

New

$109K - $130K/yr

Don't send Sr Level Developer * Bachelor's degree Desired ... IBM Cloud * Datastage * DB2 * watsonX.ai * Supply Chain WHAT YOU'LL DO * Automate data wrangling ...

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Build and support datasets and data models for IBM Cognos Analytics reporting * Partner with ... Data Engineer or in a similar role * Advanced SQL expertise across DB2, Oracle, and SQL Server

Big Data Engineer

Atlanta, GA · On-site

$53.50 - $71/hr

Big Data Engineer Location: Atlanta GA - Hybrid Duration: 12 months The successful candidate must ... Strong knowledge of Messaging Platforms like Kafka, Amazon MSK & TIBCO EMS or IBM MQ Series

Data Engineer

Silver Spring, MD

$118K - $142K/yr

The Data Engineer will partner with other Data Engineers to evaluate and prototype new tools and ... Lead modernization initiatives migrating legacy platforms including IBM DataStage , Hadoop ...

Data Engineer

Eagan, MN · On-site

$95 - $110/hr

Genesis10 is currently seeking a Data Engineer - Remote for a contract position with a Leading ... Experience developing dashboards or reporting solutions using Google Looker Studio and/or IBM ...

Exposure to IBM Data Power * Experience in Agile Project Delivery * Analytical skills * Experience and desire to work in a Global delivery environment Qualifications * Bachelor's degree or foreign ...

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

Showing results 21-40

IBM Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do ibm data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for 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 an IBM data engineer?

An IBM Data Engineer is responsible for designing, building, and managing data pipelines and architectures to support data-driven decision-making. They work with data integration, ETL processes, cloud platforms, and big data technologies to ensure efficient data flow. IBM Data Engineers collaborate with data scientists, analysts, and business stakeholders to optimize data accessibility and performance. Their role often involves using IBM technologies such as IBM Cloud, Db2, and Watson Studio to implement scalable data solutions. Strong skills in SQL, Python, and data modeling are essential for success in this role.

What does an IBM data engineer do?

As an IBM Data Engineer, your daily responsibilities often include designing and building data pipelines, integrating data from various sources, and ensuring the reliability and quality of data architecture. You may work closely with data scientists, analysts, and business stakeholders to understand requirements and optimize data workflows. Regular tasks involve maintaining and troubleshooting ETL processes, performing data validation, and documenting solutions. Collaboration within agile teams is common, and staying updated on IBM technologies and best practices is critical for ongoing success.

What are the key skills and qualifications needed to thrive as an IBM data engineer?

To thrive as an IBM Data Engineer, you need strong proficiency in data modeling, ETL processes, and SQL or Python programming, typically supported by a bachelor’s degree in computer science, engineering, or a related field. Expertise with IBM data tools like IBM DataStage, IBM Cloud Pak for Data, and knowledge of big data platforms such as Hadoop or Spark, along with relevant IBM certifications, are highly valuable. Effective problem-solving abilities, attention to detail, and collaboration skills help you excel in cross-functional teams and adapt to evolving project needs. These skills and qualities are essential for designing robust data pipelines and delivering reliable, enterprise-level data solutions.

Are IBM Data Engineers still in demand?

IBM Data Engineers are in demand as organizations continue to prioritize data management, analytics, and cloud integration. Skills in SQL, Python, and cloud platforms like IBM Cloud or AWS enhance job prospects in this field.
More about IBM Data Engineer jobs
What cities are hiring for Ibm Data Engineer jobs? Cities with the most 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 Ibm Data Engineer jobs? States with the most job openings for Ibm Data Engineer jobs include:
Infographic showing various Ibm Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% 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.

$117K - $140K/yr

Full-time

Re-posted 13 days ago


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.