This job has expired
This position was posted on May 6, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!
Job Overview
Location
United States
Job Type
Full-time
Category
Data Engineer
Date Posted
May 6, 2026
Full Job Description
đź“‹ Description
- • As a Data Engineer on the AQNav team, you will build and maintain data infrastructure that powers quantum navigation solutions for military and commercial applications, directly enabling the team to advance GPS-independent navigation technology.
- • Your day-to-day responsibilities include developing and maintaining data pipelines, modeling data for diverse consumers, integrating simulation data with real-world field data, ensuring data quality and observability, supporting cross-functional data needs, contributing to internal data platform improvements, and owning technical documentation for pipelines and schemas.
- • You will join a global, multidisciplinary team at SandboxAQ that includes experts in AI, physics, chemistry, cybersecurity, mathematics, medicine, and engineering, working on high-impact AI solutions for life sciences, financial services, navigation, and cybersecurity challenges.
- • In this role, you will deepen your expertise in building scalable data systems for scientific and engineering datasets, gain hands-on experience with AWS cloud services and MLOps practices, and contribute to mission-critical navigation technology that operates in GPS-denied environments.
🎯 Requirements
- • 3+ years of industry experience as a Data Engineer in a startup or fast-moving environment
- • Strong proficiency in Python and SQL, with hands-on experience building production-grade data solutions
- • Experience designing and maintaining data pipelines and data models/warehouses that process large, structured scientific or engineering datasets
- • Hands-on experience building on AWS (e.g., S3, ECS, Lambda, IAM) combined with CI/CD and containerization (e.g., GitHub Actions or CircleCI, Docker) to automate, deploy, and maintain data and ML workloads in the cloud
- • Practical MLOps experience: setting up and operating MLOps frameworks (e.g., MLFlow, DVC)
🏖️ Benefits
- • Competitive base salary, performance-based incentives or bonuses, and equity participation
- • Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions
- • Retirement savings with company matching, paid parental leave, and inclusive family-building benefits
- • Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements
- • Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About SandboxAQ Inc.
SandboxAQ is an enterprise AI company spun out of Alphabet in 2022, focused on applying large quantitative models to solve complex problems in cybersecurity, encryption, sensing, and simulation. Its software and hardware solutions combine AI with quantum-inspired methods to help government and Fortune 500 clients secure data, accelerate materials discovery, and optimize sensing for healthcare and navigation. Based in Palo Alto with global offices, the company partners with large systems integrators and cloud vendors to deploy scalable, physics-aware AI platforms for defense, life sciences, and financial services organizations.
Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.
Newsletter
Weekly remote jobs and featured talent.
No spam. Only curated remote roles and product updates. You can unsubscribe anytime.
Similar Opportunities
TrueML, Inc.
3 months ago
SunnyData Inc.
2 months ago
Mutt Data SRL
3 months ago
Mutt Data SRL
3 months ago