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# System Integration Migration & Conversion...

- **Company:** Public Consulting Group
- **Location:** Jefferson City, MO, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $95,000.0 - $125,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Microsoft Excel, Data Analysis, BASIC (Programming Language), Software as a Service, Databases, Data Conversion, Data Governance, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Mapping, Data Transformation, Data Migration, Data Mining, Data Retrieval, Data Structures, Relational Databases, Python (Programming Language), MySQL, Product Software Implementation Methods, Software Systems, SQL Stored Procedures, SQL Databases, Systems Integration, Transact-SQL, Extensible Markup Language (XML), Scripting, Data Strategy, Integration Frameworks, Data Management, Legacy Systems, Databricks
- **Published:** May 30, 2026
- **Apply:** https://www.juju.com/job/00000000g3njwa

## About the Role

+ 5+ years of hands-on experience with data conversion, data migration, and ETL processes, including extracting data from legacy systems, transforming data to meet target model requirements, and loading data into new platforms.

 + 5+ years of experience designing, building, and executing ETL or data integration workflows, using custom scripts, integration tools, or database-driven approaches.

Additional Qualifications:

 + Proficient with ETL, SQL/MySQL, XML, Data Bricks, Microsoft Excel, stored procedures, or other data tooling

 + Basic coding experience in languages such as Python and JavaScript

 + Experience with relational databases (tables, view, queries, T-SQL and stored procedures)

 + Experience working with customers and/or team members and leading data requirements sessions

 + Participation in a minimum of 1 full life cycle software implementation

 + Understanding of the complete software implementation lifecycle - including data requirements gathering, dataset migration, data reconciliation, and move to production

 + 3+ years of experience coordinating and collaborating with cross-organizational partners to define requirements and resolve data issues

 + 3+ years of experience mapping, transforming, and loading data from source to target software systems

 + Experience in a Data Conversion work stream on a software implementation

## Description

We are seeking a Data Conversion Specialist who will lead the migration of legacy data into a modern SaaS platform. This role requires a unique blend of technical proficiency and business acumen. You will not only execute data conversion tasks but also engage directly with clients to understand their data structures, business processes, and ensure accurate mapping into the new system., Data Analysis & Conversion

 + Assess legacy data sources and design conversion strategies for SaaS implementation

 + Perform data extraction, transformation, and loading (ETL) using appropriate tools

 + Validate data integrity and accuracy post-migration

 + Secure handling of client data, e.g. managing Personal Identifiable Information (PII)

 * **Client Engagement & Leadership**

 + Lead client meetings to gather requirements, clarify business processes, and identify data dependencies

 + Translate business workflows into data mapping for the new platform

 + Serve as a trusted advisor, guiding clients through conversion best practices

Collaboration

 + Work closely with project managers, developers, and QA teams to ensure seamless integration

 + Document conversion processes and provide training or support as needed

Documentation & Methodology

 + Create and implement Data Management strategies, aligned with project and organizational objectives

 + Refine, maintain, and update data management methodology documents and supporting artifacts, ensuring they remain current, consistent, and reusable across projects

 + Contribute to the development of data management training materials and knowledge transfer documentation for internal teams and client stakeholders.

 + Support and execute data governance use cases, including documentation of standards, processes, and controls related to data quality, lineage, and stewardship


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