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Staff/Lead Data Engineer - Remote

Posted 47 weeks ago
Data Analysis
Full Time
USA
220000 - 250000/year

Overview

Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.

In Short

  • Independently understand all aspects of a business problem.
  • Work with a cross-functional organization to deliver a scalable framework.
  • Map customer data into Machinify canonical form.
  • Proactively design and adapt the canonical form.
  • Own data availability and quality for the Data Science organization.

Requirements

  • Deep experience as a hands-on Data Engineer.
  • Experience managing the delivery of complex data.
  • Experience in ETL orchestration and workflow management tools.
  • Experience in Spark or other distributed computing frameworks.
  • Proficient in SQL and Python.
  • Advanced SQL performance tuning.
  • Experience with Kubernetes and Docker.
  • Familiarity with AWS & GCP.
  • Experience working with APIs.
  • Knowledge of streaming technologies like Kafka.

Benefits

  • Base salary range of 220k-250k.
  • Meaningful equity.
  • Excellent healthcare.
  • Flexible time off.
  • Other benefits and perks.
Machinify logo

Machinify

Machinify is a pioneering company specializing in AI-powered software solutions that revolutionize healthcare claims and payment operations. With a focus on addressing the significant issue of claims mispayments in the healthcare industry, which amounts to over $200 billion annually, Machinify leverages its advanced AI platform to enhance the speed and accuracy of claims processing. The company is dedicated to driving innovation and excellence in a fast-paced environment, fostering a culture of collaboration and continuous improvement while providing a flexible work environment for its distributed team.

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