IBM DataStage Developer / Engineer

We are seeking an experienced IBM DataStage Developer/Engineer to design, develop, and maintain IBM InfoSphere DataStage jobs supporting the Medicaid Data Management Platform. This role focuses on building robust, scalable data pipelines that enable accurate and high-performance reporting within a Medicaid/MMIS data environment. The ideal candidate will work closely with data architects, analysts, and business stakeholders to support data integration, transformation, and data quality initiatives.

Key Responsibilities:

• Design, develop, and maintain ETL jobs using IBM InfoSphere DataStage.
• Build and optimize data pipelines for Medicaid/MMIS data processing and reporting.
• Extract, transform, and load data from multiple sources including mainframe, relational databases, and external systems.
• Collaborate with data architects to implement scalable and reusable ETL frameworks.
• Perform data cleansing, validation, and transformation to ensure data quality and integrity.
• Optimize job performance and troubleshoot ETL failures and data issues.
• Work with large datasets including claims, eligibility, provider, and reference data.
• Support data integration between legacy systems, data warehouses, and cloud environments.
• Develop and maintain documentation for ETL processes and data mappings.
• Participate in testing, deployment, and production support activities.

Qualifications:

• Bachelors degree in Computer Science, Information Systems, or a related field.
• 5-8 years of experience in ETL development with IBM InfoSphere DataStage.
• Experience with Unix/Linux and shell scripting.
• Strong experience in Medicaid/MMIS data environments.
• Proficiency in SQL and relational databases (DB2, Oracle, SQL Server, etc.).
• Experience working with large-scale data warehouses and data marts.
• Knowledge of data modeling concepts and ETL design patterns.
• Experience integrating data from mainframe and on-premise systems.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Experience with cloud platforms such as AWS or Azure (S3, Redshift, etc.).
• Familiarity with big data technologies and modern data platforms.
• Experience with scheduling/orchestration tools (Control-M, Airflow, etc.).
• Knowledge of healthcare data standards and regulatory requirements (HIPAA).
• Experience supporting reporting and analytics platforms.
• IBM DataStage certification is a plus.