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snowflake sql python dbt kafka📋 Description
- Design, build, and operate scalable ELT pipelines using Python and PySpark
- Own and improve batch and streaming data systems with Spark and Kafka
- Develop and optimize Snowflake data models and DBT transformations
- Partner with data scientists, analysts, and product teams to translate requirements
- Improve observability, data quality, and engineering best practices
- Leverage AI tools to accelerate development and automate workflows
🎯 Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field
- 3-5 years of professional experience building and operating ETL/ELT pipelines
- Strong proficiency in SQL and data warehousing concepts
- Python experience for data engineering, with clean, reusable code
- Experience with DBT for data modeling, testing, and documentation is preferred
- Experience with Spark and Kafka for batch or streaming data processing is preferred
🎁 Benefits
- Equity package as part of total compensation
- Competitive benefits package
- Opportunity to work with AWS, Snowflake, DBT, Kafka, Spark
- Relocation assistance to Boston office
- Collaborative and inclusive culture
🚚 Relocation support
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