Aios Medical is hiring a Data Engineer Lead to take full ownership of our data infrastructure. You will build reliable pipelines, make data accessible across all teams, and set the foundations for a future centralized data team. You'll start within the engineering team, focused on fixing broken pipelines and syncing 20+ sources into Redshift, while also defining critical business metrics across the customer journey.
What You'll Do
- Own the flow of data from 20+ sources into Redshift, reducing manual checks, fixing failure points, and ensuring smooth operation.
- Own the data tools, build the warehouse structure, and make decisions around sync frequency, tooling, and reliability.
- Support both sides of the business: Growth (e.g., CAC, CPL, funnel metrics) and Product/Ops (e.g., time to medication, delivery times).
- Build the backend logic to track key business metrics, defining what matters and how to measure it.
- Over time, build a horizontal Data team that owns both data engineering and analytics across the organization.
- Become a key decision-maker on data across the org, balancing reliability, speed, and clarity.
What We're Looking For
- 5+ years of experience working with data, with at least 2+ years focused on data engineering.
- Experience owning pipelines, warehouses, and reporting in fast-moving environments.
- Built and maintained data pipelines syncing from multiple sources into a central warehouse like Redshift.
- Experience with Redshift or a similar cloud warehouse as the core of your stack.
- Fluent in SQL; can build queries from scratch, troubleshoot broken ones, and define metrics clearly.
- Understands business metrics and can break them down into required data points and build them end-to-end.
- High ownership; figures out what matters, how to define it, and how to track it without being told.
- Autonomy; can prioritize, unblock yourself, and move fast without waiting on others.
- Team builder; has managed a team before and is excited to grow a team covering data engineering and analytics.
Nice to Have
- Experience supporting teams measuring CAC, CPL, funnel stages, or other acquisition metrics.
- Experience with operational metrics in healthcare or similar industries (e.g., fulfillment speed, delivery time).
- Experience with analytics tools like Metabase or similar for data exploration and visualization.
- Experience with customer data platforms like Rudderstack (or Segment).
- A 'figure it out' mentality; digs deep to debug failing syncs, validate numbers, or reverse engineer broken reports.
Technical Stack
- Redshift
- SQL
- Rudderstack
- Metabase
Team & Environment
You will start within the engineering team, reporting to Gzim (Head of Engineering), with the mandate to eventually build a horizontal Data team.
Benefits & Compensation
- Compensation: $60-90k/year + equity.
- Comprehensive medical insurance (if appropriate).
- PTO with a yearly minimum (≥2wks/yr + local national holidays).
- Fully remote team distributed across the world.
- Personal development budget for books, courses, coaching ($1200/yr).
- Personal wellness budget for gym, health apps ($1200/yr).
- Free biweekly health coaching.
- Macbook & work-from-home equipment provided as needed.
Work Mode
This is a fully remote, global position.
Aios Medical is an equal opportunity employer.
