ETL Developer

Codetech Inc; Michigan; On-site; USD 170,000 - 190,000; Full time

Job summary

Codetech Inc. seeks a Data Warehouse Architect to lead enterprise ETL design and migration efforts for the State of Michigan.

The role focuses on building robust DataStage pipelines, migrating workloads to IBM Cloud Pak for Data, and optimizing Teradata 20 analytics across large-scale environments. The ideal candidate will demonstrate advanced SQL, BTEQ proficiency, Unix/Linux scripting, and automation with Python, Shell, and XML, plus strong governance and data quality capabilities within an

Qualifications

• Experience designing and optimizing ETL pipelines with IBM DataStage.
• Migration of DataStage workloads to IBM Cloud Pak for Data (CP4D) in enterprise environments.
• Strong SQL/BTEQ skills and Teradata 20 expertise.
• Automation scripting in Python, Shell, and XML for ETL workflows.
• Knowledge of Master Data Management (MDM) and data governance.

Responsibilities

• Design, build, enhance, and optimize ETL pipelines using IBM DataStage.
• Support migration of DataStage workloads to CP4D with refactoring and validation.
• Develop and optimize SQL and BTEQ for Teradata 20 workloads.
• Create automation scripts in Python, Shell, and XML for ETL processes.
• Apply MDM and data governance to ensure data quality and consistency.
• Collaborate with MDHHS data architects, DBAs, analysts, and stakeholders.
• Troubleshoot ETL pipelines and perform root cause analysis.
• Support Agile delivery, including sprint participation and documentation.

Skills

CP4D

Teradata 20

Unix/Linux scripting

Advanced SQL

ETL development

Education

Bachelor's degree in Computer Science / Information Systems / Data Analytics

Tools

Python

Shell scripting

XML

Job description

Title: Data Warehouse Architect

Location: Lansing, MI (Locals)

Duration: 12+ months

Client: State of MI

Rate: $85/hr C2C

Description:

Client is seeking a Senior ETL Developer with extensive experience in IBM DataStage, IBM Cloud Pak for Data (CP4D), and Teradata 20. The resource will support enterprise data modernization efforts, including migration of legacy workloads to CP4D, development of robust ETL pipelines, and technical leadership for data quality, governance, and integration initiatives. This role requires strong analytical capabilities, advanced ETL engineering skills, and the ability to work effectively across complex enterprise environments.

Key Responsibilities

• Design, build, enhance, and optimize ETL pipelines using IBM DataStage (parallel/server jobs, performance tuning, job sequencing).
• Support the migration of DataStage workloads from on premise environments to IBM Cloud Pak for Data (CP4D), including refactoring, modernization, testing, and validation.
• Develop and optimize complex SQL and BTEQ scripts for Teradata 20, supporting large-scale data integrations and analytics workloads.
• Create automation scripts using Python, Shell scripting, and XML for ETL workflows and data processing.
• Apply Master Data Management (MDM) and data governance principles to ensure consistency, quality, and reliability across systems.
• Work collaboratively with MDHHS data architects, DBAs, analysts, business owners, and technical teams to align deliverables with program objectives.
• Conduct troubleshooting, root cause analysis, and remediation activities for ETL pipeline issues.
• Support Agile delivery, including sprint participation, documentation, testing, and continuous improvement activities.

Required Skills

• 1+ years of hands-on experience with IBM Cloud Pak for Data (CP4D).
• -3+ years of strong experience with Teradata 20, including SQL/BTEQ, performance optimization, and working with large enterprise datasets.
• - 5+ of Unix/Linux scripting and system operations
• 3 + years of Advanced SQL for analysis and ETL support

Preferred Skills

• Public health, Health Industry, or State Government experience

Required Education

• - Bachelor's degree in computer science, Information Systems, Data Analytics, or related field.

Other desired Skills

• 5+ years of experience developing ETL solutions using IBM DataStage.
• Proficiency in:
• Python for automation
• MDM, data quality, and data governance methodologies
• Proven ability to translate business and technical requirements into scalable ETL and data integration solutions.
• Experience in large, complex enterprise data environments with multiple data sources.

• Prior experience supporting State of Michigan projects or other public-sector environments.
• Knowledge of IBM Knowledge Catalog (metadata, lineage, governance).
• Exposure to IBM Manta for lineage and impact analysis.
• Familiarity with cloud-native platforms such as OpenShift or Kubernetes.
• Experience with CI/CD pipelines, version control, and Agile methodologies.