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How much do datastage etl developer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for datastage etl developer in the United States is $63.86, according to ZipRecruiter salary data. Most workers in this role earn between $58.17 and $65.62 per hour, depending on experience, location, and employer.

What does a Datastage ETL developer do?

Datastage ETL Developers typically design, develop, and maintain ETL processes to extract, transform, and load data into various data warehouses or databases. On a typical day, you may analyze business requirements, develop DataStage jobs, monitor daily data loads, and troubleshoot any issues that arise. Collaboration with data architects, business analysts, and QA teams is common to ensure data quality and meet project deadlines. These responsibilities require both technical expertise and strong communication skills to deliver reliable, high-quality data solutions for the organization.

What are the key skills and qualifications needed to thrive as a Datastage ETL developer?

To thrive as a Datastage ETL Developer, you need a strong grasp of ETL concepts, data warehousing principles, and proficiency in IBM DataStage, typically backed by a degree in computer science or a related field. Familiarity with databases such as Oracle, SQL Server, or DB2, as well as experience using scripting languages and possessing relevant certifications (like IBM Certified Solution Developer), are valuable assets. Strong problem-solving abilities, effective communication, and attention to detail are important soft skills for this role. These competencies ensure accurate and efficient data integration, facilitate collaboration with cross-functional teams, and enable successful project delivery.

What is a Datastage ETL developer?

A Datastage ETL Developer is responsible for designing, developing, and managing ETL (Extract, Transform, Load) processes using IBM InfoSphere DataStage. They extract data from various sources, transform it according to business requirements, and load it into data warehouses or databases. Their role involves performance tuning, debugging, and ensuring data integrity. They collaborate with data analysts, data engineers, and business teams to support data-driven decision-making.

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Datastage Etl Developer jobs near you
Infographic showing various Datastage Etl Developer job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 3% Part Time, and 17% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $132,833 per year, or $63.9 per hour.

IBM DataStage ETL Developer (CP4D)

Long Finch Technologies

Bellevue, WA

$57.50 - $75.25/hr

Full-time

Posted 17 days ago

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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