🛠 Tech Stack

💼 About This Role

You'll design and implement scalable data infrastructure for building artificial-gravity space stations. You'll own end-to-end data architecture from ingestion to consumption, enabling AI/ML and advanced analytics across departments. This role offers the chance to work on cutting-edge space technology in a fast-paced startup environment.

🎯 What You'll Do

• Design and implement scalable enterprise data infrastructure including data lakes and warehouses.
• Build and maintain robust data pipelines for internal AI/ML tools and analytics.
• Integrate data from engineering, manufacturing, and enterprise systems.
• Establish data governance frameworks and best practices across the organization.

📋 Requirements

• Bachelor's degree in Computer Science or related field.
• 8+ years of hands-on experience in data engineering or data architecture.
• 3+ years in a technical leadership role leading data engineering teams.
• Expert-level proficiency in SQL and Python.

✨ Nice to Have

• Experience in manufacturing, aerospace, or hardware-intensive industries.
• Background integrating data from PLM systems like Teamcenter.
• Hands-on experience with MLOps tools and machine learning data pipelines.

🎁 Benefits & Perks

• 💰 Competitive base salary with comprehensive compensation package.
• 🏖️ Paid time off and flexible work schedule.
• 🏥 Health insurance including medical, dental, and vision.
• 🚀 Opportunity to work on space station development.
• 📈 Equity in a fast-growing space startup.

🚩 Heads Up

• Requires U.S. citizenship or protected status due to export control.
• May require extended hours and weekends for mission milestones.