IBM DataStage Developer / Engineer – Job Description - Remote

IBM DataStage Developer / Engineer – Job Description

Job Summary:

·         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:

·         Bachelor’s 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.