Connie Health is a fast-growing Medicare brokerage on a mission to empower older Americans to make confident, worry-free Medicare plan decisions. We offer a tech-enabled Medicare navigation platform that combines AI-driven technology with local Medicare experts to help people select optimal healthcare plans and navigate their benefits. Backed by leading investors such as Khosla Ventures, we are building technology to transform the trillion dollar Medicare insurance industry, impacting the lives of 67 million people in the US.
We are looking for a Senior Analytics Engineer to own our data transformation layer end-to-end. You will build the clean, well-modeled, documented datasets that the entire company relies on, spanning board-level book-of-business reporting (policy count, retention, effectuation, commissions), stakeholder self-service through Looker, and AI-driven exploration through tools like Claude. This is a high-leverage senior IC role: the quality of our analytics, forecasts, and operating decisions all depend on the foundation you build. You'll partner directly with Engineering, Finance, and Operations to fix data quality at the source, not downstream.
Tech stack: SQL, dbt, Redshift, Postgres, Looker (+ LookML), Fivetran, Airflow, Salesforce
We're looking for 5+ years in analytics/data engineering, deep hands-on dbt experience, strong SQL, and a track record of turning messy datasets into a trusted single source of truth. Bonus points for retention/lifecycle modeling, Looker administration, prepping datasets for AI consumption, or Medicare/insurance experience.
This is a hybrid position in our new Boston office near South Station, so local candidates only please. Unfortunately we are unable to do visa sponsorships at this time. Apply: https://recruiting.paylocity.com/recruiting/jobs/Details/422...
I am Huan, CTO at Connie Health. If you are interested, please feel free to reach out to me directly with your resume: huan.lai (at) conniehealth.com !
Two-location outpatient behavioral health practice. We've spent the past year building our own internal tools instead of waiting on vendors: patient self-referral, therapist availability, referral pipeline, onboarding. All internal, nothing public yet. They're prototypes — React from a CDN, browser storage, one system on Apps Script with Sheets as its database. No production backend. That's the job.
What makes it interesting: real patients, real providers, live signal. Whether people finish the referral flow or abandon it halfway. Which screen the front desk quietly stops using. You hear it from them the same day, not through a ticket six weeks later.
Team is me and one operations analyst learning to build with Claude. No senior engineer above you; you'd be the engineering function, and you'd help level them up.
You'd own hosting, deployment, auth, access control, audit logging, backups — and review AI-generated code before it touches PHI. Most of our code is already AI-generated and that isn't reversing. We're not hiring someone to type features. We're hiring someone who knows when the output is wrong and will own that call.
2-4 years shipping production software. Stack negotiable. Healthcare experience welcome, not required.
Email aj@clearviewhwg.com. No cover letter. Answer four questions:
— Something you've built and deployed, and one thing you'd do differently now.
— A time you were told something couldn't be done for security, compliance or policy reasons. What happened?
— Something you learned recently because a problem demanded it. How long until you were useful, and how did you know?
— How you actually use AI coding tools. Where do you let them run, and where do you keep your hands on the wheel?
I'd rather have specifics I can verify than a polished story.
Elucid builds FDA-cleared AI software that analyzes cardiac CT scans to characterize plaque and predict heart attack and stroke risk. The world's best cardiologists use our output to make treatment decisions for real patients. As such, our platform is regulated as a Software as a Medical Device (SaMD) product by the FDA and we operate under HIPAA, ISO 13485, and ISO 27001.
We're hiring a Senior Security Engineer to help mature and scale our security engineering program: You'll work across application security, cloud infrastructure, and regulatory compliance, contributing to secure SDLC practices, threat modeling, code and design reviews, CI/CD security testing, AWS hardening and audit other activities to allow Elucid ship secure code quickly within a regulated SDLC.
We are looking for: 5+ years of experience in security engineering, application security, or a closely related software engineering role with a strong secure coding background, including fluency in cloud infrastructure security, common vulnerability classes (OWASP Top 10 and beyond), authentication, and cryptography fundamentals. Healthcare or regulated-industry experience is a plus, but not a requirement.
We are looking for a Senior Research Software Engineer for our Global R&D team at IonQ. You'd build the software our quantum scientists rely on for lab orchestration, experiment data, and hardware control. If you've written software that talks to real instruments and wrangles real, messy, physical-world data, this might be for you.
Looking for: 5+ years of experience, strong Python skills, ownership of the full software development lifecycle, observability, and CI/CD. Hardware or lab-data experience is the bar.
No physics background is required!
Apply here: https://job-boards.greenhouse.io/ionq/jobs/5998606004
Upgraid: seed startup that uses AI and satellite data to determine what physical systems are in physical buildings and develop a comprehensive report to help create efficiencies, creating a more sustainable environment for humans.
Unique Founding mid-level Full Stack Engineer to work with co-founders. 3-5 years of experience with Python, svelte, react, postgres, etc. and AI/ML is a plus.($100K - $130K) + equity
We're building a consumer health engagement platform that integrates concierge services, behavioral health, telemedicine, and care management to improve member health outcomes and lower costs. We're building at the intersection of healthcare, behavioral economics, big data, cloud infrastructure, and AI.
We're looking for data engineers who enjoy building scalable ETL processes, creating core data tooling, ingesting billions of rows across AWS, GCP, and BigQuery, and working closely with software, DevOps, and data science teams while maintaining strict HIPAA data safety standards.
3+ years of experience with cloud infrastructure (AWS/GCP), along with solid Python, SQL, Node.js, and/or Terraform skills. Experience with healthcare data (claims, EHRs, wearables) is a plus, but strong engineering fundamentals and good communication matter most. Remote in approved US locations, or hybrid/onsite in Chapel Hill (NC), Newton/Boston (MA), or NYC.
Salary: $115k–$145k + bonus potential & benefits.
Apply at https://secure7.entertimeonline.com/ta/6209307.careers?Caree...
Learn more about our mission, culture, and benefits at https://www.well.co/careers.