Experience designing relational databases and using SQL to interact with data (Informix and/or SQL Server preferred). Validate migrated data in target systems to ensure that it accurately reflects source Informix data.
Numbers & Facts
Location
St. Paul, MN (Remote)
Salary
$55–$65 Per Hour
Description
Sample Tasks
Validate migrated data in target systems to ensure that it accurately reflects source Informix data
Analyze legacy Informix datasets to identify remaining system dependencies and active data usage
Identify data that was not migrated, is incomplete, or does not match source system values
Perform root cause analysis on data discrepancies and failed or incomplete migrations
Review prior migration strategies, scripts, and processes to assess effectiveness
Develop and execute plans to migrate remaining required data to modernized systems
Build comparison queries and reconciliation pipelines across Informix, staging, and production environments
Confirm whether staging data is sufficient to recreate missing documents and records
Assess and validate archived data across storage types (e.g., magnetic, optical, paper)
Collaborate with business SMEs to determine data retention requirements and resolve data gaps
Document current and future state data architecture, including ERDs and data flow diagrams
Provide recommendations and support planning activities for Informix system retirement
Support broader data research and initiatives across the agency as needed
Provide knowledge transfer and documentation to State staff
Perform other related duties as assigned.
Desired Qualifications
Experience designing relational databases and using SQL to interact with data (Informix and/or SQL Server preferred)
Experience in data migration, validation, and reconciliation for legacy-to-modern system transitions
Experience reviewing and working with existing ETL/migration scripts and processes
Experience building ETL/ELT workflows and working with staging vs. production data environments
Experience performing data analysis and root cause investigation in complex or ambiguous environments
Experience complying with data quality, data governance, and records retention requirements
Experience documenting data architecture (e.g., ERDs, data flows)
Experience managing data within cloud platforms (e.g., Azure)
Experience using collaboration tools such as Jira and Confluence
Experience communicating effectively with and working with both technical teams and business stakeholders