Data Engineer

5 days ago

Carlsbad, CA, United States CARLSMED, Inc. Full time
Data Engineer

We are seeking a Data Engineer to join our software and enabling technologies team, supporting the development of advanced surgical planning platforms and AI/ML-driven applications for personalized spine surgery. This role focuses on building robust, compliant data pipelines that enable real-time analytics, clinical insights, and AI-assisted decision-making across the product lifecycle.

Key responsibilities include:

  • Design, implement, and maintain scalable data pipelines for ingesting, processing, and transforming medical imaging, surgical planning, and intraoperative data.
  • Collaborate with software engineers, data scientists, and clinical experts to ensure high-quality, structured datasets for AI/ML model training and predictive analytics.
  • Build and optimize data storage solutions that support large-scale medical imaging and patient-specific digital twin models.
  • Implement monitoring, testing, and validation frameworks to ensure data integrity, reproducibility, and compliance with FDA, HIPAA, ISO 13485, and IEC 62304 standards.
  • Work closely with product owners and clinical stakeholders to translate business and clinical needs into reliable data workflows.
  • Support reporting and visualization needs for surgical outcomes and regulatory submissions.
  • Drive continuous improvements in data governance, security, and compliance practices.

Qualifications include:

  • Bachelor's or Master's degree in Computer Science, Data Engineering, Biomedical Informatics, or related field.
  • 5+ years of experience in data engineering, preferably in healthcare, medical devices, or other regulated industries.
  • Strong programming skills in Python, SQL, and familiarity with data frameworks (Spark, Airflow, DBT, etc.). Experience with TypeScript is a plus.
  • Experience with cloud-native data platforms (AWS, Azure, or GCP); knowledge of AWS preferred.
  • Familiarity with handling DICOM and medical imaging data; experience in healthcare interoperability standards (HL7, FHIR) is a plus.
  • Understanding of AI/ML workflows, model deployment, and data pipelines for model training/inference. Experience in feature engineering and familiarity with ML frameworks (TensorFlow, PyTorch) and ML platforms (SageMaker) is a plus.
  • Strong communication skills with the ability to work cross-functionally in a fast-paced, highly collaborative environment.

Carlsmed is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. Carlsmed is committed to providing reasonable accommodation for candidates with disabilities in our recruitment process.

We are pleased to provide a competitive salary and benefits. Our benefits reflect our investment in the overall health and well-being of our employees and their families, including paying 100% of monthly healthcare, dental and vision insurance premiums, a 401(k) plan with employer matching, and unlimited PTO. The expected pay range is: $160,000 to $180,000 annually. Compensation may vary based on related skills, experience, and relevant key attributes.

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