Data Engineer Lead

Summary

Join Aios Medical as a Data Engineer Lead and take full ownership of the company's data stack. Build reliable pipelines, ensure data accessibility across teams, and lay the groundwork for a future centralized data team. Initially, focus on fixing existing pipelines, syncing data sources into Redshift, and implementing robust error handling. Collaborate with product and growth teams to define key metrics and build systems to track them. Over time, build and lead a horizontal data team encompassing both engineering and analytics. This is a full-time, fully remote role offering flexibility in timezone, reporting directly to the Head of Engineering and working closely with the Heads of Product and Growth. The role requires significant experience in data engineering, Redshift, and SQL, along with a proven ability to work autonomously and build teams.

Requirements

• Experience : You’ve worked with data for 5+ years and have at least 2+ years focused on data engineering. You’ve owned pipelines, warehouses, and reporting in fast-moving environments
• Engineering : You’ve built and maintained data pipelines that sync from multiple sources into a central warehouse like Redshift. You’ve set up syncing logic, error handling, and you know what breaks &how to fix it
• Redshift : You’ve used Redshift or a similar cloud warehouse as the core of your stack. You know how to structure data for clean, fast access across teams
• SQL : You’re fluent. You can build queries from scratch, troubleshoot broken ones, and define metrics clearly in SQL with minimal help
• Metric Clarity : You understand what the business is trying to measure. If someone asks for CAC or time to medication, you know how to break that down into the data points required, find the right source, and build it end to end
• Ownership : You don’t need someone to tell you what to build. You’ll figure out what matters, how to define it, and how to track it both for pre and post-conversion journeys
• Autonomy : You’ve worked as a solo operator or early hire before. You know how to prioritize, unblock yourself, and move fast without waiting on others
• Team Builder : You’ve managed a team before. You’re excited to grow a team around you to cover both data engineering and analytics as the function scales

Responsibilities

• Clean Syncs: Our current syncs aren’t as reliable as they should be. You’ll own the flow of data from 20+ sources into Redshift, reducing manual checks, fixing failure points, and making sure everything runs smoothly day to day
• Engineering First : This role leans heavily on data engineering early on. You’ll own the tools, build the warehouse structure, and make the micro-decisions around sync frequency, tooling, and reliability
• Pre + Post Conversion : You’ll support both sides of the business: Growth (e.g. CAC, CPL, funnel metrics) and Product/Ops (e.g. time to medication, delivery times). You’ll stitch the data together so these metrics are clean and trusted
• Solo Operator : This is a senior role. You won’t wait to figure things out. You know what matters, how to define it, and how to build the backend logic to track it
• In the future: Centralized Data : This role starts in engineering, but over time, you’ll build a horizontal Data team that owns both data engineering and analytics across the org
• Strategic Partner : You’ll become a key decision-maker on data across the org, balancing reliability, speed, and clarity in how we use data to drive the business

Preferred Qualifications

• Growth Metrics : You’ve supported teams measuring CAC, CPL, funnel stages, or other acquisition metrics. You can speak the same language as growth leads and turn ideas into dashboards
• Clinical/Product Metrics : You’ve worked with operational metrics in healthcare or similar industries (e.g. fulfillment speed, delivery time)
• Analytics Tools : You’ve used tools like Metabase or similar to help teams explore data, visualize results, and share reports
• Rudderstack : You’ve worked with customer data platforms like Rudderstack (or Segment), and understand how to manage event tracking and integrations
• Figure it out : You’re the kind of person who doesn’t stop at “why is this broken?”you dig until it works. You can debug a failing sync, validate weird numbers, or reverse engineer a broken report

Benefits

• Compensation : $$60-90k/year inc equity
• Healthcare : comprehensive medical insurance (if appropriate)
• Vacation : PTO with a yearly minimum (≥2wks/yr + local national holidays)
• Remote : our team is fully distributed across the world and functions fully remotely
• Personal development : budget for books, courses, coaching ($1200/yr)
• Personal wellness : budget for gym, health apps ($1200/yr)
• Coaching : free biweekly health coaching
• Equipment : Macbook & work-from-home equipment provided as needed