Sports Data Pipeline Extension — NFL, MLB & College Football
Budget / Salary$750–1,500
TypeFreelance project
LocationRemote
Posted1 hour ago
We are looking for a sports data engineer to extend and adapt an existing working sports-data pipeline for NFL, MLB, and College Football.
This is not a greenfield build. We already have:
* A completed 2023 NFL historical dataset
* Existing working NFL scripts and configuration files
* Existing NFL documentation, validation, source-ledger, conflict-resolution, grading, and packaging logic
* Existing College Football historical data
The goal is to reuse and adapt the existing architecture rather than rebuild everything from scratch.
Required deliverables:
1. Two additional NFL historical regular seasons
* Use/adapt the existing NFL pipeline
* Same or compatible schema as our current 2023 dataset
* Opening/closing moneyline, spread, total, results, team metrics, injuries/inactives, rest/travel, venue/roof/surface, and supporting derived fields
* Pregame metrics must use prior completed games only, with no future leakage
2. One complete MLB historical regular season
* Suitable for backtesting and validation
* Historical opening/closing markets
* Starting pitchers
* Lineups where historically available
* Bullpen usage / availability inputs where supported
* Team/offense/pitching context needed for pregame testing
* Weather/park/roof context where applicable
* Final results and grading fields
3. NFL refresh/update pipeline
* Existing NFL scripts should be made reusable for future seasons
* Season should be parameterized rather than hard-coded
* Output updated Excel and CSV files
4. MLB refresh/update pipeline
* Repeatable process for updating current MLB data
* Excel and CSV output
* Documentation and validation
5. College Football refresh/update pipeline
* We already have historical CFB data
* Integrate/use our existing data rather than recreate it unnecessarily
* Build a repeatable update process for current/future College Football data
6. Final handoff
* All working scripts and configuration files
* Excel + CSV outputs
* Data dictionary
* Methodology / source documentation
* Validation / QA scripts
* Source ledger where applicable
* Clear instructions for running each pipeline ourselves
Important: We will provide the existing NFL scripts, configs, and 2023 implementation to the selected freelancer. This project should be priced as an extension/adaptation of an existing system, not as three separate builds from zero.
Budget: $1,000 fixed price
Milestone-based delivery preferred.
Please include in your proposal:
* Relevant sports-data or historical-data experience
* How you would reuse the existing scripts
* Estimated timeline
* Proposed milestone breakdown
* Optional incremental price for one additional MLB historical season after the MLB pipeline is complete
Please do not bid unless you are comfortable working with Python-based data pipelines, historical sports odds, reproducible datasets, Excel/CSV delivery, and pregame-only data integrity.
This is not a greenfield build. We already have:
* A completed 2023 NFL historical dataset
* Existing working NFL scripts and configuration files
* Existing NFL documentation, validation, source-ledger, conflict-resolution, grading, and packaging logic
* Existing College Football historical data
The goal is to reuse and adapt the existing architecture rather than rebuild everything from scratch.
Required deliverables:
1. Two additional NFL historical regular seasons
* Use/adapt the existing NFL pipeline
* Same or compatible schema as our current 2023 dataset
* Opening/closing moneyline, spread, total, results, team metrics, injuries/inactives, rest/travel, venue/roof/surface, and supporting derived fields
* Pregame metrics must use prior completed games only, with no future leakage
2. One complete MLB historical regular season
* Suitable for backtesting and validation
* Historical opening/closing markets
* Starting pitchers
* Lineups where historically available
* Bullpen usage / availability inputs where supported
* Team/offense/pitching context needed for pregame testing
* Weather/park/roof context where applicable
* Final results and grading fields
3. NFL refresh/update pipeline
* Existing NFL scripts should be made reusable for future seasons
* Season should be parameterized rather than hard-coded
* Output updated Excel and CSV files
4. MLB refresh/update pipeline
* Repeatable process for updating current MLB data
* Excel and CSV output
* Documentation and validation
5. College Football refresh/update pipeline
* We already have historical CFB data
* Integrate/use our existing data rather than recreate it unnecessarily
* Build a repeatable update process for current/future College Football data
6. Final handoff
* All working scripts and configuration files
* Excel + CSV outputs
* Data dictionary
* Methodology / source documentation
* Validation / QA scripts
* Source ledger where applicable
* Clear instructions for running each pipeline ourselves
Important: We will provide the existing NFL scripts, configs, and 2023 implementation to the selected freelancer. This project should be priced as an extension/adaptation of an existing system, not as three separate builds from zero.
Budget: $1,000 fixed price
Milestone-based delivery preferred.
Please include in your proposal:
* Relevant sports-data or historical-data experience
* How you would reuse the existing scripts
* Estimated timeline
* Proposed milestone breakdown
* Optional incremental price for one additional MLB historical season after the MLB pipeline is complete
Please do not bid unless you are comfortable working with Python-based data pipelines, historical sports odds, reproducible datasets, Excel/CSV delivery, and pregame-only data integrity.
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