Hybrid ETL & Data Conversion Programmer

National Information Solutions Cooperative, Inc.; Mandan (ND); Hybrid; USD 85,000 - 125,000; Full time

Job summary

National Information Solutions Cooperative, Inc. seeks a Database Conversion (ETL) Programmer to deliver high-quality data conversions for utility and broadband Member projects. You will design, execute, and validate complex conversions using Oracle, SQL/PL/SQL, and Pentaho Data Integration.

Work is hybrid, with in-office days in Mandan, ND, and nearby Lake St. Louis, MO, after training. The role emphasizes data quality, collaboration with project teams, and opportunities for growth in scope and

Qualifications

• Bachelor’s degree in computer/IT or equivalent experience.
• Basic knowledge of relational databases and Oracle/SQL/PLSQL.
• Experience with ETL tools and data conversions.
• Strong attention to detail and problem-solving abilities.
• Ability to travel as needed and collaborate with teams.

Responsibilities

• Design, execute and validate data conversions for Member projects.
• Perform data mapping and analysis to support conversions.
• Follow conversion methodologies and provide data validation.
• Collaborate with project managers and stakeholders.
• Leverage AI tools to enhance productivity and problem-solving.

Skills

Data conversion

Data mapping

Data validation

Research and problem solving

Attention to detail

Communication skills

Travel flexibility

Project management basics

Education

Bachelor's degree in computer/IT

Tools

Pentaho Data Integration (PDI)

UNIX/Linux

Microsoft tools

Relational databases

Oracle

SQL

PL/SQL

Job description

National Information Solutions Cooperative, Inc. seeks a Database Conversion (ETL) Programmer to deliver high-quality data conversions for utility and broadband Member projects. You will design, execute, and validate complex conversions using Oracle, SQL/PL/SQL, and Pentaho Data Integration.

Work is hybrid, with in-office days in Mandan, ND, and nearby Lake St. Louis, MO, after training. The role emphasizes data quality, collaboration with project teams, and opportunities for growth in scope and