Our mission is to enable human health.  

AKASA is the leading developer of AI for healthcare operations. Founded in 2019, AKASA has raised $85M in funding and has grown to more than 200 employees.  

Our founding team includes Silicon Valley leaders who have founded or been founding team members of multiple companies with successful exits. Our investors include Andreessen Horowitz, BOND, and Costanoa Ventures, among others. Recognized in 2021 among Top 150 “Most Innovative Digital Health Startups” by CB Insights, Top 75 “Best Places to Work” by Modern Healthcare, Certified as a “Great Place to Work” two years in a row, and ranked #34 of Top 100 Healthcare Companies in 2021 by The Healthcare Technology Report. Learn more at www.AKASA.com.  

We are building the future of healthcare with AI.  Everyone is welcome — as an inclusive workplace, our employees are comfortable bringing their authentic selves to work.  

Join us.  

 

As a remote Lead Data Engineer, you'll report to the Director of Engineering and you’ll be responsible for building our data pipelines for scale to support our rapidly growing customer base.

 

AKASA is based in South San Francisco. As a company, we embraced remote work before COVID-19. We consider ourselves experts in working collaboratively wherever our team members happen to reside.

What You'll Do:

• Develop core infrastructure or a framework that can be used for all new data pipelines
• Bring data warehousing to the company by selecting and integrating with a vendor
• Implement MapReduce to support large-scale ML experiments
• Work with ML, BI, and analytics users to understand their use cases and optimize our databases for analytics
• Explore new technologies and bring your expertise to AKASA

Skills & Qualifications:

• BS in Computer Science/Software Engineering, or similar
• 7+ years software engineering experience
• 3+ years as a data engineer or working on data pipelines
• Some people management or mentorship experience
• Experience with SQL databases and data warehousing
• Experience with Python
• Able to work on greenfield projects as well as taking ownership over existing pipelines
• Can explain complex technical concepts and can share your knowledge with diverse audiences
• Experience with ETL, data pipelines, MapReduce, Spark, Lambda, Postgres encouraged

What We Offer

• Work with an experienced team consisting of serial entrepreneurs, AI/ML experts and healthcare industry leaders
• A remote-first, collaborative and inclusive work environment
• Great compensation and equity
• Generous coverage for health, dental and vision insurance
• Full employer coverage for life insurance
• 401k Plan
• Free membership to One Medical (Concierge Clinic) for you and your family (if you are in a region covered by One Medical)
• Flexible schedules and  Personal Time Off (PTO)
• Company paid holidays and bonus "Wellness Days"