Senior Python Engineer - Data Ingestion & Browser Automation

Enlightening the construction industry through the power of information and AI! We are building an AI powered platform that eliminates laborious data entry, extracts information and liberates project data, empowering data driven decision making within the construction industry.

Our small but powerful team is growing and we’re looking for a Senior Engineer to help design, build and extend our machine learning, robotics and AI vision. You'll be working with our chore team of engineers, making a long-term impact on the engineering roadmap. Although this role will focus on the Back End, well-rounded, full stack engineers who can help with frontend are a plus. As a small team, we heavily value new ideas and opinions with an open team dynamic that is necessary for long term success and innovation.

What you'll be doing:

• Be part of a pioneering team that is reshaping the construction industry.
• Work in a fast-paced startup environment that encourages creativity and innovation.
• Utilize your skills in Python, Flask, AWS, serverless architecture, web scraping, orchestration, web APIs and cloud native practices to build cutting-edge, SaaS solutions.
• Contribute to products centered around data ingestion, document digitization, and robust data pipelines.
• Gain exposure to a diverse range of technologies, including machine learning, robotics, and AI vision.

Job Details: Responsibilities:

• Collaborate with cross-functional teams to design and implement scalable and robust data solutions.
• Develop and maintain data ingestion pipelines, ensuring smooth and efficient data flow from various sources.
• Contribute to the digitization of documents and implement systems for seamless data extraction and processing.
• Create and optimize data pipelines to support advanced analytics and machine learning initiatives.
• Take ownership of the end-to-end development process, from design and implementation to testing and deployment.

What we look for:

• Solid understanding of web scraping techniques and web API integration.
• Versed in automation tools for data handling - Selenium, Playwright Puppeteer
• 5+ years developing & maintaining SaaS software solutions (bonus for startup environment)
• Proficiency in Python for developing backend services, data processing, and scripting tasks.
• Strong foundation in Computer Science fundamentals, including data structures and algorithms.
• Well versed with cloud-native practices, microservices architecture, containerization, and container orchestration platforms like Kubernetes
• Experience with AWS cloud platform serverless architecture and services like Lambda, S3, Gateway, EventBridge, etc.
• Proven expertise in designing and implementing data orchestration and data processing pipelines.
• AWS Amplify, Firebase or other cloud development platforms/tools
• REST and GraphQL APIs - Design & Development
• NoSQL databases like DynamoDB or MongoDB
• Local Remote - Must live in NYC Area