What’s it like to work with us?

• We care a lot. Our CEO spends substantial time regularly doing customer service, and many of our healthcare professionals and healthcare facility clients have her personal cell phone number. 
• We are globally distributed. Just on the engineering team, we have folks from: the United States, Chile, Mongolia, Turkey, India, Ukraine, Indonesia, Brazil, Columbia… and that’s just from folks who’ve joined us so far this year. 
• We take our values seriously: our COO literally has a handmade Curiosity Initiative and Ownership sign on his wall (you’ll see it if you video call him). 
• We have more engineers than we “need” on purpose. It makes us fast (many features go from idea to production in 2-4 weeks). It also allows small teams to see a problem, and just go fix it. A team went off and created a new SaaS product, another team rewrote a core service under a new architecture. 
• We highly value being a workplace without any “toes” to be stepped on. See a problem? Go ahead and fix it, you don’t need permission.

Responsibilities:

• Architect Clipboard Health’s data platform which will constitute the backbone of our product decision-making processes, and ML initiatives
• Work with cross-functional stakeholders to identify data consumption use cases related to product analytics, metrics tracking, experimentation, system monitoring, and ML feature generation
• Drive Clipboard Health’s data warehouse roadmap with an eye for ROI 
• Own production ETL pipelines throughout their entire life cycle
• Deliver infrastructure to enable Data Science and Machine Learning workflows (Databricks, MLFlow, etc.)
• Put together project plans and define team priorities based on business needs and technology strategy
• Define data governance requirements (data access & privacy PII, retention, etc.)
• Contribute to the continuous improvement of team processes and tooling
• Participate in recruiting, interviewing, mentoring, and coaching

Qualifications:

• 5+ years of experience as a Data Engineer
• Effective written and verbal communication
• Expertise in SQL
• Proficiency in one or more object-oriented programming languages (Python, Java, Scala, etc.)
• Strong experience in data schema design, and enterprise data warehousing 
• Familiarity with AWS, Snowflake, and Databricks is a plus
• Experience with large-scale distributed data systems is a plus
• A fan of the speed of startups is a plus

Perks of Working with us: 

• Do great work that matters, in healthcare, for customers who could really use your help
• Zero commute. Work wherever you are, globally (but on or around US Pacific Time hours)