Senior Data Platform Engineer

Who We Are:

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 60 health plans, including many of the top 20, and representing more than 160 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.
 

Location: This role is fully remote

About the Role:
 

We are seeking a skilled Senior Software Engineer with 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. 

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. 

• 5+ years of hands-on experience in backend software development, with expertise in Golang and/or Python. 

• 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 GCP) 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. 

Technical Skills (Preferred):
 

• Golang and Python experience. 

• Experience with orchestration tools (e.g., Apache Airflow, Prefect). 

• Familiarity with Kubernetes and container orchestration (Docker, Helm, etc.). 

• Cloud platform experience (AWS, Azure, or GCP) 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. 

Pay range: $200,000 - $215,000
 

This is an exempt position. For Salary positions only: The salary range is for Base Salary. Compensation will be determined based on several factors including, but not limited to, skill set, years of experience, and the employee's geographic location.

What’s in it for you:
      

• PTO, Paid Holidays, and Volunteer Days
• Eligibility for health, vision and dental coverage, 401(k) plan participation with company match, and flexible spending accounts
• Tuition Reimbursement
• Eligibility for company-paid benefits including life insurance, short-term disability, and parental leave.
• Remote and hybrid work options

What values we’ll share with you
 

• Ask why