Senior Data Engineer (Healthcare domain)

Sigma Software is seeking a Senior Data Engineer to join their team working on large-scale cloud data infrastructure for a leading medical technology company. This remote role focuses on designing efficient data pipelines and self-service tools that directly impact how healthcare providers access and analyze critical medical data to improve patient care.

• Collaborate with Product Owner and team leads to define and design efficient pipelines and data schemas
• Build and maintain infrastructure using Terraform for cloud platforms
• Design and implement large-scale cloud data infrastructure, self-service tooling, and microservices
• Work with large datasets to optimize performance and ensure seamless data integration
• Develop and maintain squad-specific data architectures and pipelines following ETL and Data Lake principles
• Discover, analyze, and organize disparate data sources into clean, understandable schemas

• Hands-on experience with cloud computing services in data and analytics
• Experience with data modeling, reporting tools, data governance, and data warehousing
• Proficiency in Python and PySpark for distributed data processing
• Experience with Azure, Snowflake, and Databricks
• Experience with Docker and Kubernetes
• Knowledge of infrastructure as code (Terraform)
• Advanced SQL skills and familiarity with big data databases such as Snowflake, Redshift
• Experience with stream processing technologies such as Kafka, Spark Structured Streaming
• At least Upper-Intermediate level of English

Work Format: Remote with flexibility to collaborate across international teams

Benefits: Work on impactful healthcare technology projects with cutting-edge technologies in a supportive environment