Senior Software Engineer (Data Platform)

Remote • Posted 13 hours ago • Updated 13 hours ago
Full Time
Remote
USD $180,000.00 - 220,000.00 per year
Fitment

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Job Details

Skills

  • Finance
  • FOCUS
  • Communication
  • Data Processing
  • Customer Facing
  • Scala
  • System Integration Testing
  • Analytics
  • Use Cases
  • Management
  • Collaboration
  • Machine Learning (ML)
  • Software Development
  • Artificial Intelligence
  • Python
  • Golang
  • Conflict Resolution
  • Problem Solving
  • Writing
  • Apache Airflow
  • Kubernetes
  • Orchestration
  • Docker
  • Cloud Computing
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud Platform
  • Google Cloud
  • Grafana
  • Continuous Integration
  • Continuous Delivery
  • Automated Testing
  • Data Modeling
  • Extract
  • Transform
  • Load
  • Workflow
  • Health Care
  • Law
  • Recruiting
  • Privacy

Summary

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We're constantly reimagining what's possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.

We're seeking a skilled Senior Software Engineer to join our team!

The Data Platform Development Team builds the internal systems that power and extends the Machinify platform. We focus on creating scalable, reliable infrastructure that enables seamless communication, data processing, and analytics across our products and customer-facing systems.

Working closely with the core Machinify platform-written in Scala-we act as internal platform customers, designing and building orchestration and supporting services in Golang that sit on top of the core engine. Our team develops internal products and analytics capabilities that enhance performance, reliability, and extensibility across the organization, ensuring our platform can scale alongside our customers and AI-driven use cases.

The ideal candidate will have expertise in data platforms. In this role, you will design and build high-performance backend systems that power our AI-driven solutions. You'll work alongside a collaborative team of passionate engineers, data experts, and innovators to deliver impactful software that drives business success.

Does this sound like the right opportunity to explore?... Lets connect!

What You'll Do
  • Design and build scalable and high-performance data software solutions using Golang and Python.
  • Build and deploy Kubernetes-based systems to manage containerized applications in cloud-native environments.
  • Collaborate with cross-functional teams to understand and address customer needs, ensuring our systems evolve to meet future requirements.
  • Optimize performance, reliability, and security of our backend infrastructure.
  • Work on data modeling and transformation to support machine learning workflows and AI-powered applications.

What You Bring
  • 6+ years of hands-on experience in backend software development, with expertise in Golang and/or Python.
  • Strong experience with agentic AI
  • Python and/or Golang experience.
  • Strong understanding of ETL processes, data pipelines, and working with large datasets.
  • Experience with Kubernetes orchestration, containerization, and cloud-native development.
  • Proficiency in building scalable systems that handle high volumes of data and transactions.
  • Knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform) and their ecosystem tools.
  • Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana).
  • Strong problem-solving skills and a passion for writing clean, maintainable code.
  • Experience with data modeling, transformation, and integration.
  • Experience with orchestration tools (e.g., Apache Airflow, Prefect).
  • Familiarity with Kubernetes and container orchestration (Docker, Helm, etc.).
  • Cloud platform experience (AWS, Azure, or Google Cloud Platform) and related services.
  • Knowledge of monitoring and logging tools for distributed systems (Prometheus, Grafana, ELK stack).
  • Experience with CI/CD pipelines and automated testing.
  • Strong understanding of data modeling, ETL workflows, and data transformation techniques.

What We Offer
  • Work from anywhere in the US! Machinify is digital-first.
  • Full Medical/Dental/Vision for employees & their families
  • Flexible and trusting environment where you'll feel empowered to do your best work
  • Unlimited FTO
  • Competitive salary, equity, 401(k) including employer match

The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. The base salary range for this role is $180k-$220k.We are hiring for different levels, 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.

Equal Employment Opportunity at Machinify

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at:
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 80184817
  • Position Id: 4a587b3f0d152e1d2e3af04df0405dac
  • Posted 13 hours ago
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