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Senior Python Backend Engineer

MAPPED

Salary not specified
Oct 28, 2025
Remote, US
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Mapped is an AI-powered data platform for commercial and industrial spaces that helps property owners, facility operators, and solution providers to rapidly access real-time data from building systems, sensors, devices, and vendor APIs by automating the data discovery, extraction, and normalization process. Mapped uses machine learning to abstract the complexities of data integration to create an independent data layer with an open-source data model

Requirements

  • 5+ years of backend engineering experience with Python in production environments
  • Strong software engineering fundamentals: Deep understanding of modern design patterns, clean architecture, and maintainable code practices
  • Microservices expertise: Proven experience building and maintaining distributed microservices architectures
  • Complex data modeling: Demonstrated ability to design and implement sophisticated data models, ideally with graph databases or graph-like structures
  • Database proficiency: Hands-on experience with both SQL (Postgres) and NoSQL (MongoDB) databases
  • Workflow orchestration: Experience with workflow management tools and building reliable data pipelines
  • API design: Strong background in designing RESTful APIs or similar interfaces for system integration

Responsibilities

  • Design, build, and maintain microservices responsible for ingesting, processing, and transforming complex building data into structured graph representations
  • Develop and manage data processing workflows that combine ML/AI automation with human-in-the-loop processes for quality and accuracy
  • Build APIs and interfaces that give users fine-grained control over data pipelines and workflow execution
  • Architect and implement sophisticated data models for graph-based representations that comply with standard building ontologies
  • Write production-grade code that is reliable, extensible, and maintainable, serving as a technical standard for the team
  • Design efficient database schemas and queries across our MongoDB and Postgres infrastructure

Other

  • Fully distributed, flexible, and remote working
  • Flexible working hours
  • Unlimited PTO + 10 company holidays
  • Health, vision, and dental insurance - 100% covered for employees, 65% covered for dependents
  • 401K Plan