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System Integration Migration & Conversion Specialist

Job in Montpelier, Washington County, Vermont, 05604, USA
Listing for: Public Consulting Group
Full Time position
Listed on 2026-03-02
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Public Consulting Group LLC (PCG) is a leading public sector solutions implementation and operations improvement firm that partners with health, education, and human services agencies to improve lives. Founded in 1986, PCG employs approximately 2,000 professionals throughout the U.S— all committed to delivering solutions that change lives for the better. The firm is a member of a family of companies with experience in all 50 states, and clients in three Canadian provinces and Europe.

PCG offers clients a multidisciplinary approach to meet challenges, pursue opportunities, and serve constituents across the public sector. To learn more, visit

Collaborating with our Technology Consulting team, you will help organizations streamline operations and achieve strategic goals to serve the public better. We provide the full spectrum of technology consulting services to help state and local agencies meet operational and program needs that enhance the lives of their user base.

Services
  • Strategy, Architecture, Planning, and Procurement
  • Business Enablement
  • Business Solutions
  • Project Assurance
About the Role

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.

Key Responsibilities
  • 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.
Required Qualifications
  • 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…
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