Sr. Software Engineer, Data Platform

Akasa.Com in Remote - United States

$175,000 - $200,000

About AKASA

AKASA is the preeminent provider of generative AI solutions for the healthcare revenue cycle. The company has raised more than $205M in funding from investors such as Andreessen Horowitz, BOND, and Costanoa Ventures.

Named one of the fastest-growing GenAI startups to watch by AIM Research, we’re solving the biggest challenges in the financial infrastructure of healthcare. Transaction volume through the AKASA Platform has grown consistently, with a ~ 2.5x year-over-year increase in the last year. The AKASA customer base represents more than $90B in net patient revenue and includes the most innovative health systems in the country, like Stanford and Johns Hopkins.

Our founding team includes Silicon Valley leaders who have founded or been founding team members of multiple companies with successful exits. Our CEO was ranked among the “Top 50 Healthcare Technology CEOs” by the Healthcare Technology Report. We have been recognized as one of “America’s Best Startup Employers” by Forbes, “Most Innovative Digital Health Startups” by CB Insights, “Best Companies for Remote Workers” by Quartz, and “Best Places to Work” by Fortune, Modern Healthcare, and Built-In, along with being certified as a “Great Place to Work” for the past four years in a row.

Learn more at www.AKASA.com .

We are building the future of healthcare with AI. Everyone is welcome. As an inclusive workplace, we are committed to building an environment where our employees are comfortable bringing their authentic selves to work.

Join us!

About the Role

AKASA is the preeminent provider of generative AI solutions for the healthcare revenue cycle, from prior authorization to claim management.
As a Senior Software Engineer on the Data Platform team, you will be responsible for integrating analytics and reporting output directly into our customer-facing applications. You will also be responsible for improving upon the existing data platform infrastructure and adding data pipelines to support internal and external data requirements.
You will be positioned within the cross-functional Data Platform team and work in a deeply cross-functional and collaborative fashion across Engineering, Analytics, Machine Learning, and Product.
AKASA is based in South San Francisco. As a company, we embraced remote work. We consider ourselves experts in working collaboratively wherever our team members reside.
We’re committed to doing the best work of our lives, together. Come see if we're the right team for you.

AKASA is a proud equal opportunity employer and we believe that a diverse and inclusive workforce is an imperative. We welcome people of different backgrounds, genders, races, ethnicities, abilities, sexual orientations, and perspectives, just to name a few. We do not discriminate based upon any protected class and we encourage candidates of all identities and backgrounds to apply. AKASA considers qualified applicants regardless of criminal histories in accordance with the San Francisco Fair Chance Ordinance.

AKASA is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at recruiting@akasa.com.
    • Heavily contribute to setting the architectural direction for the Data Platform
    • Optimize existing Data Platform infrastructure, tooling, and data pipelines to support our expansion from supporting internal users only to also supporting external users
    • Work with a tech stack including but not limited to: Python, Postgres, Redshift, Prefect, Kubernetes, various AWS services, etc
    • Implement a new Data Platform API layer
    • Work with Engineering, Analytics, Data Science, Product, and other data platform users to understand and support their use cases
    • Explore new technologies and bring your expertise to AKASA
    • Mentor less senior team members
    • BS in Computer Science/Software Engineering, or similar
    • 5-7+ years of software engineering or data engineering experience
    • Strong professional experience in at least one of the following programming languages (or a comparable language): Python, Java, C#, Ruby, Kotlin
    • Strong SQL experience
    • Cloud computing experience (AWS preferably)
    • AbleGET to work on greenfield projects as well as take ownership of existing projects
    • Deep knowledge of software development fundamentals including both object oriented design and functional programming
    • Highly self-sufficient and self-starting in solving complex problems and conducting projects end-to-end
    • A passion and excitement about healthcare’s unique challenges and opportunities
    • Python
    • Data platforms, data pipelines, or comparable services
    • Data Warehouses (Amazon Redshift preferably)
    • Scheduling/orchestration technologies such as Prefect or Airflow
    • Kubernetes
    • BI tools (Tableau/Looker/Quicksight/SuperSet etc
    • Unlimited paid time off (PTO)
    • Expansive coverage for health, dental, and vision
    • Employer contribution to Health Savings Accounts (HSA)
    • Generous parental leave policy
    • Full employee coverage for life insurance
    • Company-paid holidays
    • 401(K) plan
    • Based on market data and other factors, the salary range for this position is $175,000-$200,000 + Equity. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
      • The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.
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