Staff Data Engineer

Machinify
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Job Description

Machinify is a revolutionary healthcare software company with a mission to ensure that patients get the right medical treatment, at the right time, at the right price. Our cloud-based Machinify AI platform leverages the latest advances in machine learning, large language models, data analytics, and cloud processing to solve previously intractable problems, transforming healthcare administration and payment operations.

Machinify is seeking a Staff Data Engineer to own the models that power our ML pipelines running in production from start to finish. Machinify’s customers are at the center of everything we do, so we employ innovative thinkers to solve issues our customers don't even have yet. 

Our people are at the heart of everything we do. Our teams are diverse and thrive on trust. Everyone has a voice. We are humans who understand our customer and work collaboratively to deliver value and make a difference. 

What you’ll do:

  • 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.
  • Mentor and train other members of the team, setting frameworks that impact the performance of the Data function at Machinify
  • Set best practices and processes to optimize the way the team works towards business objectives
  • Proactively researches new tools and technologies, and makes savvy recommendations to drive business success for Machinify and customers
  • Enjoy working in an Agile/Scrum/Lean environment.
  • Be challenged when faced with solving complex problems
  • Bring a passion for improving the lives of others by making their jobs easier and more productive. 

What You Bring:

  • Masters in Computer Science or STEM disciplines. 
  • Experience applying modern NLP models in practical settings. 
  • Plus if the candidate has worked with medical records and/or insurance claims. 
  • Startup experience.
  • 8+ years experience as hands-on Data Engineer in either as a lead developer role. SQL proficiency is a must.
  • 7+ years of experience managing the delivery of complex data.
  • Experience understanding business problems and coming up with tech based solutions
  • Experience with cloud-based services and enterprise software environments.
  • Strong data technical background as evidenced by prior experience as a hands-on data/ETL engineer.
  • Familiarity with frameworks and protocols for data transfer, data consumption and data manipulation.
  • Analytical approaches to problem solving and data-driven decision making.
  • Ability to balance trade-offs among multiple competing priorities.
  • HealthCare Domain knowledge is a plus.
  • You are scrappy, fast, high bandwidth, adaptable and ambitious
  • Critical thinking and problem solving skills.
  • Comfortable with ambiguity and taking the initiative when required
  • Amazing communication skills

The base salary for this position will vary based on an array of factors unique to each candidate such as qualifications, years and depth of experience, skill set, certifications, etc. The base salary range for this role is $200k-250k. We are hiring for different seniorities, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.

Company Info.

Machinify

Join us as we reinvent how healthcare is delivered and paid for with AI-powered products that dramatically improve efficiency, quality and accessibility of medical care.

  • Industry
    Artificial intelligence,Computer software
  • No. of Employees
    80
  • Location
    Palo Alto, CA, USA
  • Website
  • Jobs Posted

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