Software Engineer, Data Platform

South San Francisco, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare Technology, AI & Machine LearningIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science or Software Engineering, along with a minimum of 3 years of experience in software engineering or data engineering. Proficiency in Python and SQL is required, alongside experience with cloud computing platforms, particularly AWS. Demonstrated knowledge of software development fundamentals and the software development lifecycle is essential.

Responsibilities

As a Software Engineer on the Data Platform team, you will build and maintain data pipelines to support Machine Learning model training and scalable customer deployments, directly contribute to product development through in-app dashboarding, and enable Analytics and Data Science efforts by developing core Data Platform infrastructure and tooling. You will also work with a tech stack including Python, Postgres, Redshift, Prefect, Kubernetes, Grafana, and various AWS services, exploring new technologies and growing your technical skillset while maintaining a delivery focused mindset.

Skills

Data pipeline development

Dashboarding

Data platform infrastructure

Machine Learning

Analytics

Data Science

AKASA

Automates revenue cycle management processes

About AKASA

AKASA offers technology solutions that enhance efficiency and revenue outcomes for healthcare organizations by using a mix of computer vision-based Robotic Process Automation (RPA), machine learning, and human-in-the-loop automation. Their services streamline complex Revenue Cycle Management (RCM) workflows, allowing healthcare staff to focus on more meaningful tasks. Unlike competitors, AKASA specifically targets operational inefficiencies in revenue cycle departments, helping clients like Methodist Health System achieve significant gross yield increases. The company's goal is to empower healthcare organizations to improve their operational efficiency and patient experience.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$199.4MTotal Funding

SERIES_CCompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees

Benefits

Flexible vacation policy.

Generous coverage for health, dental, and vision insurance.

Free membership to One Medical for you and your family.

Health FSA account.

Full employee coverage for life insurance.

401K plan.

Risks

Generative AI adoption may increase competition, eroding AKASA's market share.

Healthcare's cautious approach may slow adoption of AKASA's new technologies.

Integration with existing EHR systems may pose implementation challenges for AKASA.

Differentiation

AKASA uses AI to automate complex revenue cycle tasks in healthcare.

Their solutions decrease A/R days by 13% and increase efficiency by 86%.

AKASA's tailored AI models outperform generic models like GPT-4 by up to 40%.

Upsides

AKASA's GenAI solutions reduce prior authorization time by up to 50%.

Over 70% of healthcare organizations are exploring generative AI for revenue cycle management.

AKASA's Medical Coding enhances efficiency and accuracy in the $23B medical coding field.

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