Data Engineer

The Data Engineer will be responsible for building, maintaining, and optimizing the data pipelines and architectures that power International SOS’s mission-critical analytics and operational platforms. This role is instrumental in transforming raw data into structured, reliable, and scalable formats for analysis and decision-making across the organization.

• Design, construct, install, and maintain scalable and robust data pipelines
• Integrate data from a wide variety of sources, both structured and unstructured
• Optimize data delivery and re-design infrastructure for greater scalability and performance
• Collaborate with data scientists, business analysts, and product managers to deliver data solutions aligned with business needs
• Develop and maintain data models, databases, and ETL processes
• Ensure data quality, reliability, and integrity across systems
• Participate in data architecture and design reviews
• Assist in implementing data governance and data security best practices
• Monitor and troubleshoot data pipeline issues and performance bottlenecks

• 6+ years of professional experience in data engineering or similar roles
• Proficiency in SQL and experience with relational and NoSQL databases
• Strong programming skills in Python, Scala, or Java
• Experience with big data tools such as Spark, Hadoop, Kafka
• Familiarity with cloud data platforms (AWS, Azure, GCP)
• Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow, DBT)
• Knowledge of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery)
• Understanding of data privacy regulations and security standards
• Strong problem-solving and communication skills