Senior Software Engineer, Data Platform

🕒 June 12

🇺🇸 United States – Remote

💵 $130k - $155k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Medecision

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1988

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 Series C on 2003-03

Healthcare • Consulting • Logistics

Medecision is a cloud-based company that provides a comprehensive data-powered platform designed for health plans, health systems, third-party administrators, and government solutions. Their platform enables organizations to improve health outcomes, reduce medical and administrative costs, and manage care effectively through digital care management, utilization management, and population health management. Medecision leverages advanced analytics and automation to optimize workflows and enhance patient engagement, supporting organizations in delivering personalized care while maximizing operational efficiency.

📋 Description

• Design, develop, and maintain production-grade Python and Java data services and pipelines deployed on Google Cloud Platform. • Build and evolve Google Cloud Dataflow batch and streaming pipelines for data ingestion, standardization, curation, and analytics load. • Implement and maintain event-driven data workflows using Google Cloud Pub/Sub. • Design and manage BigQuery datasets, table schemas, partitioning strategies, clustering, and reporting views. • Build and maintain Cloud Composer (Apache Airflow) DAGs for workflow orchestration. • Develop and maintain Cloud Run microservices and Cloud Functions. • Participate in design and code reviews; mentor junior engineers and contribute to shared coding standards. • Collaborate with teams to ensure on-time delivery and best engineering practices. • Engage proactively in the triage and resolution of escalated production issues. • Follow and comply with all security policies and procedures established by the organization, including adherence to HIPAA and HITRUST regulations.

🎯 Requirements

• Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or equivalent practical experience. • 5+ years of data engineering or backend software engineering experience building production data pipelines and platform services. • Proven hands-on experience with Google Cloud Platform data services: BigQuery, Cloud Storage, Cloud Pub/Sub, Cloud Dataflow, Cloud Composer, Cloud Run, Cloud Functions, Firestore, Cloud SQL, and Secret Manager. • Strong proficiency in Java for data pipeline development. • Proficiency in Python for Airflow DAG authoring and automation scripting. • Experience designing and implementing batch and streaming data pipelines. • Proficiency with BigQuery data modeling and SQL query optimization. • Experience with Apache Airflow / Cloud Composer. • Experience with containerization (Docker). • Proficiency with GitLab CI/CD for pipeline automation. • Excellent communication skills.

🏖️ Benefits

• Remote work options • Professional development opportunities