SandboxAQ
Tech / AI / Software
DataEngineer,AQNav
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer, AQNav at SandboxAQ. Skills: Data Pipeline Development, Data Modeling, Data Quality & Observability, Python, SQL, AWS, MLOps. Data Pipeline Development & Maintenance. Data Modeling”
What You'll Achieve.
deliver AI solutions that address some of the world's greatest challenges; build out infrastructure that will empower every member of the team with the data they need; pipelines to help them move faster; processes that will accelerate and validate our models; make the data accessible and trustworthy, not just available; ensure simulation outputs feed cleanly into downstream pipelines alongside real-world field data; Instrument pipelines with quality checks, anomaly detection, and alerting so issues surface early; Translate ambiguous asks into well-defined requirements, repeatable datasets and lightweight Dashboards that the team can use independently going forward; Improve the features and reliability of our internal data platform over time
Industry & Context.
address some of the world's greatest challenges; tackle the world's epic challenges; prove that magnetic navigation works where it matters most; help take us to the next level; build out infrastructure that will empower every member of the team with the data they need; pipelines to help them move faster; processes that will accelerate and validate our models; Instrument pipelines with quality checks, anomaly detection, and alerting so issues surface early; Tackle epic challenges
What They're Looking For.
Must Have
3+ years of industry experience as a Data Engineer in a startup or fast-moving environment, proficiency in Python and SQL, 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), 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)
Nice to Have
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), Ability to build interactive dashboards in Hex or similar, Experience working with standard ML libraries like PyTorch, scikit-learn and basic supervised/ unsupervised learning techniques
What You'll Do.
Data Pipeline Development & Maintenance
Simulation Data Integration
Data Quality & Observability
Cross-Functional Data Support
Data Platform Infrastructure Contribution
How You'll Work.
Team & Collaboration
Work across a mixed-maturity pipeline environment; serve a diverse set of consumers; Work within the in-house simulation suite; Translate ambiguous asks into well-defined requirements; work alongside a diverse group including physicists, ML researchers, hardware engineers, software engineers, data engineers, field ops personnel, navigation engineers, customer facing leaders, and managers at different levels; cross-functional collaboration
Communication Scope
Translate ambiguous asks into well-defined requirements
Full Job Description
ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY SandboxAQ's AQNav (Quantum Navigation) team builds global, GPS-independent, navigation solutions from military and commercial aircraft to autonomous submersible platforms. 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. You get to join and help build out infrastructure that will empower every member of the team with the data they need, pipelines to help them move faster, and processes that will accelerate and validate our models. The tools and pipelines you help build will directly impact the team's success. We are looking for a data engineer that thrives wearing a variety
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