Intuition Machines is hiring a
Senior Data Engineer

Summary

Intuition Machines is seeking a Senior Data Engineer to maintain, extend, and improve their existing data/ML workflows. The role involves working with ML engineers and researchers to build datasets on demand, influencing data storage and processing strategies, and collaborating with various teams to enhance the data platform.

Requirements

• Thoughtful, conscientious, and self-directed
• Experience working with data engineering services on major cloud providers
• Minimum of 3 years of experience in a data role involving designing and building data stores, feature engineering, and building reliable data pipelines that handle high loads
• Proven ability to make independent decisions regarding data processing strategy and architecture
• At least 2 years of professional software development experience in a role other than data engineering
• Significant experience coding and developing in Python
• Experience in building and maintaining distributed data pipelines
• Experience working with Kafka infrastructure and applications
• Deep understanding of SQL and NoSQL databases (preferably Clickhouse)
• Familiarity with public cloud providers (AWS or Azure)
• Experience with CI/CD and orchestration platforms: Kubernetes, containerization, and microservice design. Familiarity with distributed systems and architectures

Responsibilities

• Maintain, extend, and improve existing data/ML workflows, and implement new ones to handle high-velocity data
• Provide interfaces and systems that enable ML engineers and researchers to build datasets on demand
• Collaborate with the ML team, as well as frontend and backend teams, to build out our data platform
• Reduce time-to-deployment for dashboards and ML models
• Establish best practices and develop pipelines that enable ML engineers and researchers to efficiently build and use datasets

Preferred Qualifications

• Experience acting as an intermediary between ML and backend/frontend teams
• Exposure to machine learning fundamentals such as model training, model inference, and frameworks like PyTorch and TensorFlow

Benefits

• Fully remote position with flexible working hours
• An inspiring team of colleagues spread all over the world
• Pleasant, modern development and deployment workflows: ship early, ship often
• High impact: lots of users, happy customers, high growth, and cutting-edge R&D
• Flat organization, direct interaction with customer teams