Senior Data Engineer

Fusemachines is a global provider of enterprise AI products and services, seeking a Senior Data Engineer with hands-on experience designing and optimizing end-to-end real-time and batch pipelines, and developing cloud-native data architectures using modern technologies such as AWS, GCP, Azure, Databricks, and Snowflake. The ideal candidate will be an expert in at least one major cloud data ecosystem (AWS, Azure, GCP, Snowflake, or Databricks) and possess a deep understanding of the end-to-end data lifecycle, from ingestion to business intelligence.

Requirements

• 5+ years of hands-on data engineering experience in a production environment
• Strong proficiency in Python, SQL (complex queries, performance tuning), and PySpark/Apache Spark
• Expert knowledge of data modeling (3NF, Star, Snowflake Schema) and Lakehouse/Warehouse architectures
• Proven experience building pipelines using tools like dbt, Airflow, Dagster, or native cloud orchestrators (Glue, Data Factory, Composer)
• Experienced in integrating data from diverse sources: APIs, RDBMS/NoSQL databases, flat files, and streaming platforms (Kafka, Kinesis, Pub/Sub)
• Deep expertise in at least one of the following: Snowflake, Databricks, GCP, Azure, or AWS

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Visa Sponsorship