Backend engineer building and scaling data pipelines, APIs, and storage systems (DuckDB, PostgreSQL, Airflow) that power construction-insight applications and integrate with CV/ML models.
150k – 200k/yr
Hybrid3+ YOEBackend Engineering
About the role
What You'll Do
Design, develop, and maintain APIs that power our Three.js and DuckDb powered frontend applications
Extend and optimize our idempotent data pipelines using Airflow to adapt to evolving business needs
Develop and manage our data storage and processing stack, leveraging DuckDB for analytical workloads and PostgreSQL for transactional data
Implement and maintain robust data processing workflows that ingest and structure data from 360-degree video, project management schedules, and IoT sensors
Explore and integrate WebAssembly (Wasm) powered local computation where appropriate to enable flexibility, performance, and reduce server round trip time
Develop diagnostic tools to monitor data quality and pipeline performance
Strike a balance between rapid iteration and long-term software stability
Identify and manage complexity in workflows by implementing general, flexible, and scalable data processing paradigms
Work with CV and ML engineers to deploy cutting-edge 3D computer vision models.
What You Bring
3+ years of experience in Python, C++, Typescript, or a functional programming language
2+ years of experience in backend or full-stack engineering within an agile, cloud-based environment
1+ year of experience working with ETL pipelines and workflow orchestration tools like Airflow
Experience with Kubernetes and cloud infrastructure
Strong SQL expertise with deep knowledge of query optimization and table structures, including experience with PostgreSQL
Experience with Wasm and its applications in local-first data processing is a plus
Experience with test-driven development and automated testing strategies
Exposure to CV or ML development is a plus but not required
Bachelor's degree in Computer Science or a related technical field
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