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ITBrainiac Inc

IBM DataStage ETL Developer

Philadelphia, PA · On-site

$51.50 - $67.25/hr

Hybrid role urgent client needs IBM DataStage ETL Developer IBM DataStage ETL Developer | IBM DataStage | Oracle PL/SQL | ETL | Data Warehouse (EDW) | Oracle Database | Unix Shell Scripting ...

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How much do ibm datastage jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for ibm datastage in the United States is $57.64, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $62.02 per hour, depending on experience, location, and employer.

What is an IBM DataStage?

An IBM DataStage job is a data integration workflow that extracts, transforms, and loads (ETL) data from various sources into a target system. It consists of stages representing data processing steps, such as extraction, transformation, and loading, connected by data flow links. Jobs can be designed using the IBM DataStage Designer, scheduled for execution, and monitored through the IBM DataStage Director. These jobs help businesses manage large volumes of data efficiently in data warehouses or other repositories.

What are the key skills and qualifications needed to thrive as an IBM DataStage professional?

To thrive as an IBM DataStage professional, you need expertise in ETL processes, relational databases, and a strong understanding of data warehousing concepts, often supported by a relevant degree in computer science or information technology. Hands-on experience with IBM DataStage, SQL programming, and knowledge of supporting platforms such as UNIX/Linux are typically required, with IBM DataStage certification considered a plus. Strong problem-solving skills, attention to detail, and effective communication abilities help you collaborate with cross-functional teams and troubleshoot complex data integration issues. Mastery of these skills ensures the delivery of reliable and efficient data solutions that drive business intelligence and decision-making.

What are some common challenges faced by IBM DataStage professionals in a typical work environment?

IBM DataStage professionals often encounter challenges such as managing large volumes of data from diverse sources, optimizing ETL processes for performance, and ensuring data quality and integrity throughout the integration lifecycle. They may also need to troubleshoot unexpected errors or integration failures, which requires a thorough understanding of both the tool and underlying data structures. Collaboration with business analysts, database administrators, and other IT teams is frequent, demanding excellent communication and coordination skills. Adapting quickly to new business requirements and evolving technologies also plays a key role in long-term success and career advancement in this field.

What is IBM DataStage used for?

IBM DataStage is an ETL (Extract, Transform, Load) tool used by data integration professionals to design, develop, and manage data workflows for moving and transforming large volumes of data across systems. It supports data warehousing, data migration, and analytics projects, often requiring knowledge of SQL and scripting. DataStage is part of IBM's InfoSphere suite and is commonly used in enterprise data environments.
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Ibm Datastage jobs near you
Infographic showing various Ibm Datastage job openings in the United States as of August 2026, with employment types broken down into 47% Full Time, 48% Part Time, and 5% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $119,893 per year, or $57.6 per hour.

IBM DataStage ETL Developer (CP4D)

Long Finch Technologies

Renton, WA • On-site

$57.25 - $75/hr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

We are looking for an experienced ETL Developer with strong hands-on expertise in IBM DataStage and IBM Cloud Pak for Data (CP4D) to design, develop, optimize, and support enterprise-scale data integration solutions. The ideal candidate will have extensive experience in ETL development, data warehousing, data transformation, performance tuning, and modernization initiatives involving migration from legacy DataStage platforms to cloud-based data environments.

Key Responsibilities
  • Design, develop, test, and deploy ETL and data integration solutions using IBM DataStage (11.x and above).
  • Develop scalable data pipelines supporting batch and near real-time data processing.
  • Perform migration and modernization activities from traditional DataStage environments to IBM Cloud Pak for Data (CP4D).
  • Build reusable ETL frameworks, shared containers, parameter sets, and automation components.
  • Develop complex data transformations including data mapping, cleansing, enrichment, and validation.
  • Optimize ETL workflows, database operations, and data processing performance.
  • Troubleshoot production issues, perform root cause analysis, and implement long-term solutions.
  • Create technical design documents, source-to-target mappings, and operational support documentation.
  • Ensure adherence to enterprise data quality, governance, security, and compliance standards.
  • Participate in Agile ceremonies including sprint planning, daily stand-ups, sprint reviews, and retrospectives.
  • Collaborate with technical and business teams to understand requirements and deliver effective data solutions.
Required Experience/Technical Skills
  • 5+ years of experience in ETL development and data integration.
  • Strong hands-on experience with IBM DataStage and enterprise data warehouse environments.
  • Experience working in Agile delivery teams with strong collaboration and communication skills.
  • Strong expertise in IBM DataStage (11.x and above).
  • Hands-on experience with IBM Cloud Pak for Data (CP4D).
  • Strong experience in ETL design and development.
  • Good understanding of data warehousing concepts and architecture.
  • Advanced SQL development skills.
  • Experience with data modeling concepts.
  • Experience in data migration and ETL modernization projects.
  • Strong knowledge of ETL performance tuning and optimization techniques.
  • Hands-on experience with Unix/Linux shell scripting.
Preferred Skills
  • Experience migrating ETL workloads from IBM DataStage to IBM Cloud Pak for Data.
  • Exposure to cloud-native data platforms and enterprise modernization initiatives.
  • Experience with scheduling tools such as Autosys, Control-M, or similar enterprise schedulers.
  • Understanding of data governance, metadata management, and data lineage concepts.
  • Knowledge of DevOps practices and automated deployment pipelines for ETL applications.
  • Experience working with large-scale enterprise data platforms and high-volume data processing environments.
  • Banking and Financial Services domain experience is preferred.

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