Full-Time

Staff/Lead Data Engineer

Confirmed live in the last 24 hours

Machinify

Machinify

51-200 employees

AI-driven solutions for healthcare administration

AI & Machine Learning
Healthcare

Compensation Overview

$220k - $250kAnnually

+ Equity

Senior, Expert

Palo Alto, CA, USA

Category
Data Engineering
Data & Analytics
Required Skills
Kubernetes
Python
Grafana
Apache Spark
SQL
Apache Kafka
Docker
AWS
Google Cloud Platform

You match the following Machinify's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Deep experience as a hands-on Data Engineer building production data pipelines
  • Experience managing the delivery of complex data
  • Experience in ETL orchestration and workflow management tools with a strong preference for Apache Airflow
  • Experience in Spark or other distributed computing frameworks
  • SQL and Python
  • Advanced SQL performance tuning
  • Kubernetes and building Docker images
  • AWS & GCP
  • Experience working with APIs to collect or ingest data
  • Manage SLA for all pipelines in allocated areas of ownership
  • Streaming technologies like kafka , spark streaming etc
  • ELK stack , Grafana etc
Responsibilities
  • Independently understand all aspects of a business problem including those unrelated to their area of expertise, weigh pros and cons of different approaches and suggest ones likely to succeed
  • Work with a cross-functional organization including engineering, delivering, subject-matter experts, product managers, as well as platform engineers to deliver a scalable framework
  • Map the customer data into Machinify canonical form. Identify and ingest non canonical fields and generalize the process to a minimal level of customization
  • Proactively design and adapt the canonical form to suit changing query patterns and needs
  • Ultimately own data availability and quality for the Data Science organization

Machinify provides AI-driven solutions to improve decision-making in the healthcare industry. Its platform helps health plans, payers, and providers optimize their operations, particularly in areas like claims processing and utilization management. The applications offered by Machinify can be quickly deployed, allowing clients to see immediate returns on investment. This focus on rapid implementation sets Machinify apart from competitors, as healthcare organizations increasingly seek cost efficiency and better patient outcomes. The company's goal is to enhance operational efficiency and help clients manage healthcare expenditures more effectively.

Company Stage

Series A

Total Funding

$15.2M

Headquarters

Palo Alto, California

Founded

2016

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Machinify's acquisition by Evolent Health highlights the demand for AI in healthcare management.
  • The introduction of AI apps could save billions in administrative costs for healthcare organizations.
  • Machinify's focus on payment integrity aligns with industry needs to reduce administrative spending.

What critics are saying

  • Acquisition by New Mountain Capital may disrupt Machinify's operations and client relationships.
  • Integration into Evolent Health's platform could limit Machinify's autonomy and innovation.
  • Adoption of new AI apps may face resistance due to entrenched systems in healthcare.

What makes Machinify unique

  • Machinify leverages AI to optimize healthcare decision-making processes, enhancing efficiency and performance.
  • The company offers rapid deployment of AI-driven applications, ensuring immediate ROI for clients.
  • Machinify's comprehensive AI app suite addresses the entire healthcare claims lifecycle.

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Benefits

Medical, dental, & vision

Flexible work environment

Generous PTO

Competitive salary

Equity

401(k)

Sponsorship

Generous L&D Reimbursement policy