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Data Migration and Quality Specialist

Active
State & Local

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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This subcontract opportunity, titled Data Migration and Quality Specialist, is issued by the Connecticut DAS Procurement agency. The selected provider will support prime contractors on East Hartford Public Schools data warehousing projects by performing the extraction, cleansing, and conversion of historical data. Key responsibilities include executing data migration from legacy systems, removing duplicates and errors, and conducting post-migration validation to ensure a high-quality dataset is loaded into production. The role requires specific expertise in large-scale data migration for public entities and proficiency with data profiling tools. Interested parties must submit their responses by the deadline of October 16, 2026. The contract falls under NAICS code 541512 and is managed through the CTSource Bid Board.

General Info

CT DAS seeks a specialist for East Hartford Public Schools data migration by 10/16/2026.

Place of Performance

CT, USA

Set-Aside

NONE

Documents

This scope was carved out of 1912-27.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

1912-27 (RFP) Data Warehousing and Analytics

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Organization & Contact Information

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AgencyConnecticut → DAS Procurement
ContactsNo contacts available
OfficeN/A
Organization / AgencyConnecticut → DAS Procurement
Office AddressN/A
ContactsNo contact information available

Full Description

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Performs extraction, cleansing, and conversion of historical data for prime contractors on East Hartford Public Schools data warehousing projects. Executes data migration from legacy systems, removes duplicates and errors via cleansing, and performs post-migration validation. Requires experience with large-scale data migration for public entities using data profiling tools. Delivers a validated, cleansed historical dataset loaded into production.

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