SandboxAQ

SandboxAQ

Data Engineer, AQNav

United States

Sponsorship not specifiedDetected 77 days ago
PythonGitSQLAWSDockerCI/CDGitHub ActionsCircleCIMachine LearningPyTorchscikit-learnData EngineeringData ScienceMLOpsEpicResearchCollaboration

About the role

  • We are the bridge between cutting-edge quantum sensing research and real-world operations, working directly alongside the defense customers and platform integrators at the highest levels to prove that magnetic navigation works where it matters most.
  • The AQNav team is looking for a highly-accomplished Data Engineer to help take us to the next level.
  • This role is that role you always wanted, to be able to work on cutting-edge technology.

Responsibilities

  • Data Modeling: Build and optimize data models that serve a diverse set of consumers. You'll make the data accessible and trustworthy, not just available
  • Cross-Functional Data Support: Translate ambiguous asks into well-defined requirements, repeatable datasets and lightweight Dashboards that the team can use independently going forward
  • Documentation: Own the technical documentation for pipelines, data models, and schemas you touch. In a team this cross-functional, good documentation is a force multiplier
  • 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.

Requirements

  • Strong proficiency in Python and SQL, with hands-on experience building production-grade data solutions.

Skills

  • US citizenship (required for working with CUI data)
  • A Master's or Ph.D. in a specialized technical field like computer science, data science, mathematics, etc.
  • Experience working with sensor data (100-1KHz range)
  • Experience working with standard ML libraries like PyTorch, scikit-learn and basic supervised/ unsupervised learning techniques.
  • SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges.

Compensation

  • Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.

Benefits

  • Work-Life Balance: Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.
  • Career Development: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.

Company info

  • Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.
  • We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued.
  • Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges.

Equal opportunity

  • All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
  • Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles.
  • If you need such an accommodation, please let a member of our Recruiting team know.
  • Read: Guidance for candidates on using AI Tools in interviews https://www.sandboxaq.com/ai-in-interviews

Visa & Work Authorization

  • US citizenship (required for working with CUI data)

This listing is sourced directly from SandboxAQ's careers page and normalized into a canonical job model.