We're on a mission to remedy the financial complexity crippling healthcare in America. 

Our aim is to organize and use all healthcare information to reduce the cost of care and improve the patient experience. 

As the only Unified Automation™ company for healthcare, we use the same machine learning approaches that made driverless cars possible to provide health systems with a single solution for core operational management. AKASA's unique expert-in-the-loop approach, Unified Automation, combines modern machine learning with human judgment and subject matter expertise to provide resilient automation. AKASA brings together the best of people, data and technology to efficiently, accurately and autonomously navigate the complex state of medical reimbursement in the United States. 

We are growing rapidly and we've built a cross-functional skill set deep into the DNA of the company. We have technology experts from top Silicon Valley technology companies (Google, Facebook, etc) and machine learning PhD programs (Stanford, etc). We also have senior leaders from the frontlines of healthcare with decades of experience leading teams at prominent healthcare institutions in the US. And we have a deep bench of talent from healthcare services firms like the Advisory Board, Optum and Triage Consulting. 

If you love to execute, we'd love to hear from you. We take a very mindful approach to building a culture that is flexible, diverse and inclusive. We approach our work thoughtfully, learn quickly, improve constantly, and celebrate our wins. Everyone is welcome — as an inclusive workplace, our employees are comfortable bringing their authentic whole selves to work. Be you.

 

As a remote Senior 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
• 5+ years software engineering experience
• 3+ years as a data engineer or working on data pipelines
• 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 and complementary founding team consisting of serial entrepreneurs, AI experts and healthcare industry leaders
• Meaningfully own or contribute to category-defining products that fundamentally change healthcare operations
• Great compensation package and equity grants
• 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)
• Paid company holidays and bonus “Wellness Days”