Senior Platform Engineer

Posted 19 Days Ago
New York, NY
170K-200K Annually
Senior level
Healthtech
Maximize revenue outcomes that enable healthcare providers to deliver the highest form of clinical care
The Role
The Senior Platform Engineer at Adonis will design and enhance data platforms and APIs, maintain ETL data pipelines, collaborate with teams to develop data solutions, and mentor junior engineers. The role demands expertise in SQL and Python, with a focus on optimizing data processing and API development.
Summary Generated by Built In

At Adonis we’re focused on adding intelligence and automation to the Revenue Cycle Management process. Revenue cycle management is the full process from when a patient makes an appointment through to when all parties are paid. This whole process is typically extremely manual, resulting in practices only collecting 83% of what they’re owed. Through our software, we unify the end-to-end RCM processes into a single, powerful view to enable practices the ability to identify opportunities for financial and operational improvement. 

By the end of 2023, we launched two new product lines and increased revenue 9x as we continue to aim to maximize revenue outcomes that enable healthcare providers to deliver the highest form of clinical care. 

We are looking for engineers that are ready to wear many hats and have an influence on how we continue to scale. 

Responsibilities:

  • Design, build, maintain, and enhance Adonis’s data platform, data lakehouse, infrastructure, and APIs used by us and our customers
  • Build and maintain ETL data pipelines involving homogenous and heterogenous data from external healthcare data sources and our internal databases in a medallion architecture
  • Design data solutions using various big data technologies and low latency architectures
  • Collaborate with data scientists, product managers, and frontend engineers to develop, implement, and validate deployed data solutions
  • Understand and implement data engineering best practices
  • Improve, manage, and teach standards for code maintainability and performance in code submitted and reviewed
  • Mentor and provide guidance to other engineers on the job

Qualifications:

  • Expert at writing and optimizing SQL queries, especially when using PostgreSQL databases
  • Expert in writing and optimizing Python 3.x focused on data processing and providing REST APIs for inter-service communication as well as for user-facing, latency-sensitive frontend applications
  • Familiarity with composing cloud architecture using Kubernetes
  • Familiarity with event-driven and data-stream-driven architectures to combine workflows and pipelines together in a more reactive fashion over purely CRON-based triggers
  • Familiarity with streaming workflows to process datasets at low latencies and high resiliency
  • Familiarity with data engineering and data science development tools and libraries (i.e. Pandas, NumPy, Jupyter)
  • Familiarity with data and API engineering offerings of Amazon Web Services (i.e. Athena, Fargate/ECS, Lambda, RDS, DynamoDB, SageMaker, Step Functions, EventBridge)
  • Familiarity with scalable message queue and log stream systems, primarily Kafka
  • Familiarity with data warehousing concepts
  • Familiarity with basic principles of distributed computing (able to optimize partitioning, distribution and MPP of high-level data structures)
  • Authoritative in ETL optimization, designing, coding, and tuning big data processes
  • Experience in Prefect, Airflow, or other workflow orchestrators
  • Experience in working with large databases, efficiently moving billions of rows, and complex data modeling
  • Experience in managing data lineage, quality, and discovery
  • Experience with big data & concurrency technologies like PySpark, Ray, or others

Perks at Adonis 

  • Competitive Equity Packages 
  • Employer paid medical insurance 
  • Employer paid dental insurance 
  • Employer paid vision insurance 
  • Employer funded HSA 
  • Parental Leave 
  • Commuter Benefits 
  • Office Lunches Everyday 
  • Office Snacks 
  • Generous PTO
  • Located in 3 World Trade Center with easy access to all trains and the path, and amazing views of the city 

At Adonis, we’re super excited to have moved into a new office space. We are an in office company where most of our team members spend the majority of their time in office, to enjoy the exciting perks that we have.

Adonis is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics. At Adonis, we fully comply with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals. 

The base salary range for this position is $170,000 - $200,000 yr. However, base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to base salary, we also offer competitive equity and benefits packages.

Top Skills

Python
SQL
The Company
45 Employees
On-site Workplace

What We Do

At Adonis we’re focused on adding intelligence and automation to the Revenue Cycle Management process. Revenue cycle management is the full process from when a patient makes an appointment through to when all parties are paid. This whole process is typically extremely manual, resulting in practices only collecting 83% of what they’re owed. Through our software, we unify the end-to-end RCM processes into a single, powerful view to enable practices the ability to identify opportunities for financial and operational improvement.

Why Work With Us

Lead by second time founders with experience in Healthcare, we are uniquely positioned to apply automation and machine learning to provide actionable insights to our customers. With the advancements in AI and a shift towards a digital first approach in healthcare, we have an opportunity to create impact that was previously not possible.

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