Data Engineer

Our Story

Pointr is the market leader in Indoor Mapping, Location and Analytics and the inventor of AI-based map production. Its innovative (20+ patents) Pointr Maps™ platform is used by millions of users across offices, retail locations, airports, hospitals, and more every month.

As the top choice of Fortune 100 customers and billions of sqft. deployed globally (30+ countries), Pointr is always on the lookout for great team members to support its fast growth. Our core values are Ownership, Harmony, and Scale, and we look for Passionate, Kind, and No-Ego team members to join the team.

Role Overview

As a Data Engineer at Pointr, you will play a pivotal role in shaping the future of our AI-driven indoor mapping technology. Your primary responsibility will be to manage and optimize the data pipelines that fuel our machine-learning models, ensuring the highest standards of accuracy and efficiency. You will work closely with cross-functional teams to develop and maintain tools for data labeling, automation, and manipulation while continuously improving existing workflows. This is an opportunity to work in a dynamic environment where your contributions directly impact the innovation and scalability of our cutting-edge solutions.

Core Responsibilities

• Data labeling and preparation for ML training operations
• Creating and managing automation flows for data preparation for various ML models
• Creating scripts for data manipulation
• Improving existing data labeling tools
• Creating and managing a new web-based data annotation tool

Minimum Qualifications

• Bachelor’s degree in either Computer Science or a relevant Engineering field from top universities (we only accept applications from Engineers).
• Ability to communicate in English fluently and idiomatically
• Proficiency in Python
• Ability to write scripts (Python, Bash, etc.) to automate data preparation processes
• Understanding of data formats such as JSON, CSV
• Proficiency in web development tools (React is preferred, but others are welcome as well)
• Experience with Git for code management and collaboration

Preferred Qualifications

• Attention to Detail: Precise handling of data to ensure accuracy in labeling and preparation
• Patience: Perseverance in long and detail-oriented manual data annotation tasks
• Problem-Solving: Ability to troubleshoot issues related to data workflows and automation
• Familiarity with tools like LabelImg and LabelMe
• Proficiency in libraries like Pandas and NumPy for data manipulation
• Knowledge of machine learning concepts and workflows
• Experience with cloud platforms like AWS or Google Cloud for managing ML operations
• Familiarity with Docker or Kubernetes for containerizing data workflows
• Experience in developing and managing web-based tools using frameworks
• Strong organizational skills to manage multiple data preparation tasks simultaneously
• Initiative to propose and implement improvements to existing processes
• Ability to work independently with minimal supervision on assigned tasks

What We Offer?

• Ability to learn in a fast-growing global tech startup
• Supportive, kind (no-ego), and smart team
• Location flexibility (working fully remotely is an option)
• International environment and inclusive culture
• Competitive base salary & potential equity
• 5 days of paid leave in your first year
• Private healthcare(if employed in the US or Turkey)