This Government Contract opportunity from South Carolina was posted on June 3, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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Data Migration & ETL Pipeline Development

Closed

State & Local

Submission Closed07/29/2026, 03:00:00 PM UTC

Contract Overview

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

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NAICS: 541512

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RFxPremier Artificial Intelligence (AI) Systems and Services

Solicitation # 26RFP-ITN6769-4

Solicitation 26RFP-ITN6769-4 is a Request for Proposal issued by Florida State University on behalf of the South Dakota State Government and other participating states to establish Master Agreements for Artificial Intelligence (AI) Systems and Services. The primary objective is to leverage the collective purchasing power of multiple state and local government entities to secure the best overall value and more favorable pricing than individual entities could obtain independently. The scope of work encompasses a broad range of AI-related services, including software for email, monitoring, and databases, as well as consulting for strategic technology planning, IT security, and safety. Additionally, the agreements cover system implementation, engineering, software maintenance, project management, and computer-based training. The solicitation is categorized under NAICS code 541512. Proposals must be submitted by October 21, 2026, at 3:00 PM EST. Interested bidders are explicitly instructed not to submit responses through ESM Sourcing, but instead to follow the submission guidelines provided in the RFP documents available on the RFx Premier website. The award will be based on the best value provided to the participating agencies.

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Program Implementation and Training Specialist

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Fleet Management Information System (FMIS) Specialist

Department of Public Works

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1 day ago

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in 20 days

AI Contract Overview

The contract involves the provision of extract, transform, and load (ETL) services specifically aimed at migrating historical data related to students, courses, and performance from existing legacy systems into a new platform. This effort is essential for ensuring data integrity and continuity in the transition to updated technology infrastructure. The work falls under the NAICS code 541512, which pertains to custom computer programming services, indicating a focus on software development and data handling expertise. Issued by the State Fiscal Accountability Authority of South Carolina, this subcontract was posted on June 3, 2026, with a response deadline set for July 29, 2026. While certain details such as the exact location of performance and contact points are not specified, the contract clearly outlines the need for specialized technical services to develop an ETL pipeline that supports the seamless migration of critical educational data. This project plays a vital role in modernizing data systems within the state’s education framework.

General Info

Provide ETL services to migrate student, course, and performance data for South Carolina education.

Agency

South Carolina → State Fiscal Accountability Authority

NAICS

541512 - Computer Systems Design ServicesView NAICS

Place of Performance

SC, USA

Set-Aside

NONE

Documents

This scope was carved out of 5400029113.

The full solicitation package (3 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

CLOUD-BASED STUDENT ENGAGEMENT PLATFORM

AI Contract Breakdown

Uniform Contract Format

No contract breakdown available.

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Timeline

PhaseClosed

PostedJun 3

subcontract

Response DeadlineJul 29

Deadline has passed

Submission Closed

07/29/2026, 03:00:00 PM UTC

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Organization & Contact Information

AgencySouth Carolina → State Fiscal Accountability Authority

ContactsNo contacts available

OfficeN/A

Organization / Agency

South Carolina → State Fiscal Accountability Authority

Office AddressN/A

ContactsNo contact information available

Full Description

Extract, transform, and load (ETL) services to migrate historical student, course, and performance data from legacy systems into the new platform.

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