Remote Senior Data Engineer - Healthcare Cloud Analytics

Sigma Software; Warszawa; On-site; PLN 180,000 - 260,000; Full time

Job summary

Sigma Software is seeking a Senior Data Engineer to join a healthcare-focused cloud data project. The role offers a remote work format with collaboration across international teams and a focus on building scalable data infrastructure for healthcare applications.

You will design and implement large-scale data pipelines, self-service tooling, and microservices, working with Python, PySpark, SQL, and cloud platforms such as Azure, Snowflake, and Databricks.

Qualifications

• 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 an Upper-Intermediate level of English.

Responsibilities

• Collaborate with Product Owner and leads to design efficient data pipelines and schemas.
• Build and maintain cloud data infrastructure and self-service tooling.
• Develop microservices and data architectures following ETL and Data Lake principles.
• Work with large datasets to optimize performance and data integration.
• Ensure scalable data processing and governance across squads.

Job description

Sigma Software is seeking a Senior Data Engineer to join a healthcare-focused cloud data project. The role offers a remote work format with collaboration across international teams and a focus on building scalable data infrastructure for healthcare applications.

You will design and implement large-scale data pipelines, self-service tooling, and microservices, working with Python, PySpark, SQL, and cloud platforms such as Azure, Snowflake, and Databricks.