Data Engineer/Scientist

We are looking for talents, who are passionate about data, AI, and innovations!

Remote – US Startup – b2b contract

About Company

At Prosperous Process AI, we’re transforming how enterprises manage procurement and supply chains with our AI-powered platform. Founded in 2023 and based in Denver, Colorado, our mission is to simplify and optimize the source-to-procure process, helping businesses save time and reduce costs.

Our platform leverages advanced AI and machine learning to automate procurement workflows, deliver real-time insights, and enhance decision-making. Key features include:

• Generative Analytics – Providing actionable insights to uncover cost-saving opportunities.
• Demand Forecasting – Predicting future demand to optimize inventory and procurement strategies.
• Automated Supplier Negotiations – Streamlining the negotiation process for better terms and pricing.
• Real-Time Market Insights – Offering visibility into material costs and availability.

With over 600 software integrations, Prosperous AI provides a comprehensive view of business operations, making it especially valuable for industries like construction, manufacturing, real estate, and aerospace. Our platform helps businesses save up to 30% on supply chain costs by identifying inefficiencies and enabling smarter, data-driven decisions—without disrupting existing processes.

Role

We’re looking for a talented Data Engineer to design, build, and maintain the data infrastructure powering our AI-driven platform. You’ll be responsible for developing scalable data pipelines, integrating large datasets, and enabling real-time data processing to drive actionable insights and improve supply chain performance.

Key Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related fields.
• 7+ years of software engineering experience, with 4+ years working with Python.
• Strong experience with data modeling, ETL processes, and pipeline development.
• Proficiency in AWS, including architecture and infrastructure development from scratch.
• Experience with large-scale datasets and building data-driven solutions.
• Familiarity with TypeScript and optimization tools (e.g., Gurobi, CPLEX) is a plus.
• Strong problem-solving and analytical skills.
• Good communication skills in English (Upper-Intermediate+) is a must.

Key Responsibilities

• Design and Build Data Pipelines: Develop and maintain scalable ETL pipelines to process and integrate large datasets from various sources.
• Optimize Data Infrastructure: Design data models and storage solutions to support real-time data processing and machine learning applications.
• Data Integration: Connect data from multiple platforms (600+ integrations) to enable comprehensive insights across the business.
• Performance Monitoring: Monitor data pipeline performance and troubleshoot issues to ensure high availability and accuracy.
• Support Predictive Analytics: Collaborate with Data Scientists to provide clean, structured data for machine learning and forecasting models.
• Automation: Automate data workflows to enhance efficiency and reduce manual intervention.
• Security and Compliance: Ensure data integrity and security, following best practices for handling sensitive business information.

Details

• Tech Stack: React, Python, Django, Postgres, AWS, OpenAI
• Team: Global, including US and Europe. 5 people team
• Customers: 30+ clients across the construction, manufacturing, real estate, and aerospace industries
• Remote role with overlap required for team synchronization
• Contract: B2B, long-term partnership

Benefits

• Salary: Up to $10,000 gross, depending on experience
• PTO: 20 days vacation, 10 sick days, 11 public holidays
• Equipment: Provided

Interview Stages

• Prescreening Call (30 min)
• Intro Call with the team (30 min)
• Tech Interview (1 h)

Interested? Let’s connect and discuss the details!