Python Cloud Native Lead
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Python Cloud Native Lead
Location
United States
Experience
Senior
Posted
Jul 30, 2026
Apply by
August 29, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Office
Job Description
JD: Reverse-engineer Procore's data model and REST APIs to document projects, commitments, change orders, RFIs, submittals, daily logs, budgets and cost codes, and their true relationships. • Reconstruct the construction delivery process flows — budget → commitment → change order → cost — and document where meaning depends on configuration or company-specific convention. • Produce Bronze → Silver → Gold source-to-target mappings with transformation rules, business logic, and documented data-quality defects. • Define Procore's contribution to DNA crosswalk keys, in particular the global Project ID reconciling Procore, P6 and Yardi, and resolve identifier and hierarchy mismatches between them. • Define data-quality gates and confidence scoring for construction and capital-delivery KPIs, and steward them through certification with the accountable business owner. • Support pipeline development and automated testing; validate Gold datasets against Procore source reality and against corresponding P6 and Yardi records. • Document the approach as a reusable template consistent with the codified Bronze → Gold method. Required qualifications and experience • 4+ years hands-on with Procore in a data, integration, reporting, or construction-technology capacity. • Practical experience with the Procore REST API, including pagination, rate limiting, incremental extraction and authentication patterns. • Demonstrated ability to reverse-engineer an application data model into a business-entity and process model. • Strong SQL and data-profiling capability. • Understanding of construction cost management, change control, and project delivery workflows.
Key Responsibilities
- Reverse-engineer Procore's data model and REST APIs to document projects, commitments, change orders, and budgets.
- Reconstruct construction delivery process flows and document business logic and data-quality defects.
- Produce source-to-target mappings with transformation rules and documented data-quality defects.
- Define data-quality gates and confidence scoring for construction and capital-delivery KPIs.
- Support pipeline development and automated testing, validating Gold datasets against source reality.
- Document the approach as a reusable template consistent with the codified Bronze to Gold method.
Skills Required
PythonCloud Native ArchitectureDesign PatternsDjangoFastAPIFlask FrameworkMicroservices DevelopmentREST APIUnit TestingSQLProcoreData ProfilingConstruction Cost ManagementChange ControlProject Delivery Workflows
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