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.
Requirements
- 5+ years of hands-on data engineering experience in a production environment
- 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 (Glue, Data Factory, Composer)
- Experienced in integrating data from diverse sources
- Deep expertise in cloud platform technologies (Snowflake, Databricks, GCP, Azure, AWS)
- Proficient in Git workflows, CI/CD pipelines, and IaC (Terraform/CloudFormation)
- Strong understanding of data quality, lineage, observability, security, and compliance frameworks
- Active experience in Agile/Scrum environments using Jira or Azure Boards
- Ability to lead projects and provide technical guidance to junior/mid-level engineers
Benefits
- Generous Paid Time Off
- 401k Matching
- Tuition Reimbursement
- Relocation Assistance