Senior Software Engineer, Data Platform

🕒 April 2

🇺🇸 United States – Remote

💵 $180k - $220k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Machinify

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

☁️ SaaS

💰 $10M Series A - Machinify on 2018-10

Healthcare Insurance • Artificial Intelligence • SaaS

Machinify is a healthcare-focused AI platform and services company that reshapes healthcare payments and payment integrity. Its AI operating system unifies claims, medical records, contracts, and policies, and uses foundation models and task-specific agents to automate and improve coding, payment accuracy, recoveries, and cost avoidance. Machinify serves health plans (including 18 of the top 20), supports insourced, hybrid, or fully-managed deployments, and emphasizes measurable outcomes — reporting 85+ customers, 270M member lives covered, and $6B+ in annual cost avoidance and recoveries.

📋 Description

• 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.

🎯 Requirements

• 6+ 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. • 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.

🏖️ Benefits

• 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