Senior Data Engineer

Fusemachines is seeking a Senior Data Engineer to architect, design, and implement scalable, high-performance data solutions using modern technologies such as AWS, GCP, Azure, Databricks, and Snowflake. The ideal candidate will have hands-on experience designing and optimizing end-to-end real-time and batch pipelines and developing cloud-native data architectures.

Requirements

• Experience in data engineering
• Strong proficiency in Python, SQL, and PySpark/Apache Spark
• Expert knowledge of data modeling and Lakehouse/Warehouse architectures
• Proven experience building pipelines using tools like dbt, Airflow, Dagster, or native cloud orchestrators
• Experience integrating data from diverse sources
• Deep expertise in a cloud platform (Snowflake, Databricks, GCP, Azure, or AWS)
• Proficient in Git workflows, CI/CD pipelines, and IaC
• Strong understanding of data quality, lineage, observability, security, and compliance frameworks
• Ability to lead projects and provide technical guidance to junior/mid-level engineers

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Visa Sponsorship
• Four Day Work Week
• Generous Parental Leave
• Tuition Reimbursement
• Relocation Assistance