- Work with a tech stack including but not limited to: Python, Postgres, Redshift, Prefect, Kubernetes, Grafana, and various additional AWS services such as SQS and Cloudwatch
- Build new and maintain existing data pipelines to support Machine Learning model training and scalable customer deployments
- Support Analytics and Data Science initiatives via building and maintaining core Data Platform infrastructure and tooling
- Contribute directly to product development via maintaining in-app dashboarding infrastructure
- Explore new technologies and grow your technical skillset
- BS in Computer Science/Software Engineering, or similar
- 3+ years of software engineering or data engineering experience
- Professional experience in Python and SQL
- Cloud computing experience (AWS preferably)
- Demonstrable knowledge of software development fundamentals and experience across the software development lifecycle
- A delivery focused mindset
- A passion and excitement about healthcare's unique challenges and opportunities
- Data platforms, data pipelines, or comparable services
- Data Warehousing (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 $180,000 - $205,000 + 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.
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Software Engineer, Data Platform - New York - Akasa, Inc
Description
About AKASAAt AKASA, our mission is to build the future of healthcare with AI. As the leading provider of generative AI solutions for the healthcare revenue cycle, we help health systems comprehensively capture and communicate the full patient clinical journey. By empowering health systems to streamline their operations, they can focus on what matters most - delivering quality patient care. We have raised over $205M in funding from investors such as Andreessen Horowitz, BOND, and Costanoa Ventures.
This is the most exciting time to join AKASA. Revenue bookings for our new AI-native product suite have grown over 20x since launching in 2024. In this time, we have broken our record for the largest deal in company history three times consecutively. This growth is driven by the massive improvement we are generating for our customers across clinical quality and documentation accuracy, both top priority areas for health system leaders.
Our deployments have been recognized nationally as "one of the most comprehensive real-world uses of GenAI in healthcare finance to date" (link). Our customer base represents more than $120B+ in net patient revenue and includes the most innovative health systems in the country, like Cleveland Clinic, Duke, Stanford, and Johns Hopkins.
Some of our most recent recognitions include being named the #1 most promising healthcare RCM startup of 2025 by Black Book Market Research and one of the fastest-growing GenAI startups to watch by AIM Research. Our CEO was ranked among the "Top 50 Healthcare Technology CEOs" by the Healthcare Technology Report, and we have been certified as a "Great Place to Work" for the past five years in a row, just to name a few.
We're building on this momentum to redefine what's possible in healthcare. We're looking for exceptional people to help us accelerate that reality.
About the Role
The Data Platform team at AKASA is a deeply cross-functional team, consisting of engineering, analytics, and data science roles. The team collaborates closely with most teams throughout the organization, including but not limited to; Product, Core Platform Engineering, Machine Learning, and Customer Engagement.
As a Software Engineer on the Data Platform team, you will support Machine Learning's efforts to train in-house models via custom data pipeline development, directly contribute to product development through in-app dashboarding, and enable Analytics and Data Science efforts by developing core Data Platform infrastructure and tooling.
The AKASA office is located in South San Francisco. While we support remote work on a variety of teams, we have a strong Bay Area presence across the company. For this role, we're looking for someone to join either our Bay Area team every Wednesday in the office or our NYC team for co-working days.
What You'll Do
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.
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Data Platform
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Data Platform
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Data Taxonomist, Data Platforms
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Data Engineer, Data Platform
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Data Platform Engineer
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Data Platform Engineer
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Data Platform Engineer
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Data Platform Architect
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Data Platform Engineer
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Data Platform Engineer
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Data Platform Engineer
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Data Platform Lead
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Data Platform Engineer
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Data Platform Engineer
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