remote
Data Engineer II - Samsara
Data Engineer
Mid‑level Data Engineer building scalable data pipelines and warehousing solutions on AWS, leveraging Python, SQL, Airflow, Snowflake and Kafka to transform IoT telemetry into actionable insights.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines that ingest high‑volume IoT telemetry into the cloud data platform.
- Implement workflow orchestration using Apache Airflow to ensure reliable, repeatable data processing.
- Optimize data models and queries in Snowflake for performance, cost efficiency, and analytical accessibility.
- Collaborate with data scientists, product managers, and software engineers to translate business requirements into scalable data solutions.
- Monitor, troubleshoot, and resolve data pipeline issues, implementing automated alerts and recovery mechanisms.
Requirements
- 2+ years of professional experience building data pipelines with Python and SQL on AWS.
- Hands‑on experience with Apache Airflow, Snowflake (or similar cloud data warehouse), and streaming technologies such as Kafka.
- Strong understanding of data modeling, schema design, and performance tuning for large‑scale datasets.
- Proficiency with AWS services (S3, Redshift, Lambda, Glue) and infrastructure‑as‑code concepts.
- Ability to work cross‑functionally, communicate technical concepts clearly, and prioritize tasks in a fast‑moving environment.
Skills
pythonsqlsnowflakeawskafka