Staff Data Engineer, SandboxAQ
AQMed
AI and quantum computing solutions
Be an early applicant
AI and quantum computing solutions
201-500 employees
Be an early applicant
201-500 employees
Company mission
To develop commercial products for telecom, financial services, healthcare, federal government, computer security and other computationally-intesive sectors.
Role
Who you are
- Bachelor's or Master's Degree in Computer Science, Computer Engineering, Mathematics, Physics, Statistics, or other relevant technical discipline
- 8+ years of experience as a Data Engineer, focusing on data operations
- Extensive experience working with large datasets in a cloud environment, specifically AWS
- Strong proficiency in AWS data tools and services (e.g., S3)
- Experience with data pipeline development and batch processing
- Experience with programming languages related to data engineering tools and frameworks such as Spark, Scala, Hadoop, Python, or similar
- Proficiency with SQL and databases
- Comfortable working in a collaborative, fast-paced team with a strong mission
- Proactive, self-driven, and excited to learn new technologies and approaches
- Demonstrates strong ownership by proactively taking initiative, accountability, and attention to detail
Desirable
- Exposure to multichannel sensor data or time series data (e.g., ECG/EKG, medical device data)
- Experience with MLOps and exposure to machine learning workflows
What the job involves
- We seek a visionary Staff Data Engineer for Operations to architect and command this critical asset
- Your primary directive will be forging the robust, scalable infrastructure needed to transform raw data into revolutionary insights
- You will take full ownership of our AWS data backbone, engineering a streamlined, reliable system from a challenging, growing dataset
- By empowering our scientific pioneers with pristine data, you will directly accelerate discovery and impact the future of healthcare in our dynamic startup environment
- This is your opportunity to build, to own, and to leave your mark
- Design and manage scalable data pipelines on AWS to support AI-driven medical research
- Oversee core data systems, ensuring high uptime, data quality, and efficient batch workflows
- Create and refine data ingestion, transformation, and storage processes for research use
- Automate data processing pipelines to improve reliability, speed, and reproducibility
- Build and maintain automated ML training and reporting workflows to support model development and monitoring
- Use AWS services (like S3 and related tools) to build cost-effective, reliable data solutions
- Develop and enforce consistent data practices, architecture, and documentation
- Work closely with scientists, ML engineers, and medical experts to meet data needs
- Build data systems that meet healthcare regulations and prioritize privacy
Our take
Spun out from Alphabet in 2022, SandboxAQ is a company providing AI and quantum computing solutions. Using cybersecurity modules that are in line with the "third quantum revolution", SandboxAQ can migrate enterprises to a higher level of security through the use of this cutting-edge technology.
The company's approach enables cross-pollination in a range of fields, including physics, neuroscience, cryptography, and more - with products including an end-to-end crypto-agile security suite, and quantum sensing solutions. Impressively, SandboxAQ has already partnered with Deloitte and Ernst & Young (EY), as well as the US Air Force, to bring the its quantum tech to the market.
Looking forward, SandboxAQ plans to build further relationships across the public sector, to help situate the company as one of the most "battle-tested" quantum providers on the market. The company has raised significant funds that will accelerate further product development and improvements, focussing on its post-quantum cryptography software.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Apr 2025
$150m
SERIES E
Dec 2024
$300m
SERIES E
Total funding: $1.1bn
Company benefits
- Stock options
- Unlimated vacation (PTO) and flexible work culture
- Company-wide winter and summer breaks to unwind
- Best-in-class health plans: Medical, dental and orthodontics, and vision
- Family planning and fertility benefits
- Military leave
- 100% paid parental leave
- 401k with company matching
- Education stipends
- Financial wellness resources
Company HQ
Palo Alto, CA
Leadership
Jack Hindary
(CEO)Serial entrepreneur and Co-Founder of several tech companies. Is also the author of 'Quantum Computing: An Applied Approach', one of the leading textbooks used in the field.
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