Clinical engineer jobs in Hayward, CaliforniaCreate job alerts

About General Medicine As a software engineer at General Medicine, you’ll help build and scale a healthcare store that makes it delightfully simple to shop for any type of care. We provide upfront cash and insurance prices for virtual and in-person visits, prescriptions, labs, imaging, and more. What we’re looking for We’re looking for strong engineers to help us build a seamless and beautiful consumer healthcare product. We’re looking for folks who will obsess over every detail of our patient experience, and also tackle the complex operational challenges of delivering care at scale. We are looking for engineers who care deeply about technical excellence but are also comfortable moving quickly — we are constantly navigating tradeoffs between engineering velocity and quality. Our ideal candidate is hungry, high-agency, and aspires to be a generalist. Our engineers frequently write product requirements documents, write SQL to understand how features are performing, and own QA — no task is beneath us or outside of the scope of the role if it helps us to deliver a great product. We're looking for someone who can operate in an environment of significant ambiguity, and who is comfortable working closely with design, operations, and clinical stakeholders. We don’t expect you to have a healthcare background (though it’s great if you do!). However, you should be excited by the prospect of digging into the messy complexities of the American healthcare system (integrating with EHRs, revenue cycle management, etc). Qualifications • 2+ years of experience building web apps as a full-stack engineer, • Experience with modern infra tooling and programming languages. We currently use AWS, Ruby on Rails, and NextJS, and would expect you to have proficiency in a modern tech stack even if it isn’t the one we are using. Please note that this role is based in either our SF office (near Market and Spear St) or our Boston office (Central Square, Cambridge). We expect our team to work from the office least 3 days per week. Why join us We’re an experienced team that has built a company in this space before, our product has clear product-market fit, and we’ve raised money from top investors. We have an ambitious and distinctive vision for what can be built in consumer healthcare. We believe LLMs and price transparency legislation have opened up several massive opportunities. If you’re an ambitious and entrepreneurial software engineer and this resonates, please apply.

Power BI Developer (Mid-Level) – Hybrid | C2C | Healthcare 🧩 Experience: 7–12 years Openings: 2 per location Work Arrangement: Hybrid Employment Type: C2C📜 Contract: Long-term (12+ months, performance-based) 🇺🇸 Work Authorization: US Citizens, Green Card, H4/L2/Any EAD, OPT/CPT Candidates 🎓 Preferred: M.S. in Data Science or relevant certification Locations: East Bay Area, CA | Greater Los Angeles Area, CA | Oregon's Willamette Valley, OR | Greater Atlanta Area, GA 🔎 Role Overview We are seeking a Mid-Level Data Engineer with strong Power BI experience to support analytics, reporting, and data integration initiatives within the healthcare domain. The ideal candidate will have hands-on expertise across ETL pipelines, Azure data services, SQL, and enterprise Power BI development. 🛠 Key Responsibilities • Develop and maintain Power BI dashboards, data models, DAX measures, and optimized datasets., • Build, enhance, and troubleshoot ETL/ELT Ingestion pipelines across Azure cloud data platforms., • Work with Azure Data Factory, ADLS, Databricks, Synapse, SQL and related services., • Perform data wrangling, cleansing, and integration from multiple healthcare data sources., • Collaborate with business and clinical teams to translate requirements into actionable reports., • Ensure data accuracy, governance, and performance tuning across BI solutions., • Support the creation of reusable data models and semantic layers. 🎯 Required Skills • 7–12 years of experience in Data Engineering with strong Power BI development., • Hands-on experience with Azure data ecosystem (ADF, ADLS, Databricks preferred)., • Strong SQL, DAX, data modelling (star/snowflake), and analytics expertise., • Experience working with healthcare datasets (claims, EMR, patient, operational data) is a plus., • Expertise in performance optimization for both ETL processes and BI dashboards. ⭐ Nice to Have • Experience with Azure Synapse, Delta Lake, or Python for data engineering., • Healthcare compliance familiarity (HIPAA, PHI)., • Azure or Data Engineering–related certifications.

Crossing Hurdles is a global recruitment firm partnering with, a fast-growing Clinical Data Intelligence platform built on 12+ years of advanced research in Machine Reading and Knowledge Graph technology. It automates the low-level cognitive workflows that slow down clinicians, researchers, data abstractors, and care teams — helping healthcare systems operate faster, more accurately, and more efficiently. Role: Senior Data/AI/ML Software Engineer Location: Remote US Compensation: $150K–$300K (level & location based) + 0.1%–0.5% equity YOE: 7+ years in AI/ML or full-stack SWE Visa: H1B transfers + possible new H1B sponsorship Type: Full-time Why you should consider this • Build the intelligence layer behind a platform transforming clinical workflows at scale., • Work with cutting-edge NLP, Machine Reading, and Knowledge Graph technologies., • High-ownership role in a small, senior, research-driven engineering team (20 people)., • Join a company backed by $15M+ funding, growing rapidly in the healthcare AI space., • Direct real-world impact: your work will be used daily by clinicians and care teams., • Remote-first, high-autonomy culture with strong technical leadership. About the role • Build and enhance clinical information extractors, summarizers, and automation systems., • Scrape, process, transform, query, and analyze structured/unstructured clinical data., • Evaluate system performance and refine the clinical knowledge graph., • Develop secure, compliant code aligned with HIPAA & SOC 2., • Contribute to core data/AI/ML pipelines and infrastructure., • Participate in an on-call rotation to ensure system uptime. Requirements / Who is the ideal fit • 7+ years of experience in AI/ML engineering or full-stack SWE., • Deep hands-on experience with NLP/LLMs, data-intensive systems, and ML pipelines., • Strong expertise in Python, SQL, PyTorch, GCP, FastAPI, Django, BigQuery, dbt, Pandas., • Experience working with large, messy, clinical/healthcare datasets (nice-to-have)., • Familiarity with secure coding, privacy, and compliance standards.