We are seeking a Senior Data Infrastructure Engineer to own the design and development of scalable data infrastructure, ETL pipelines, and warehouse architecture that power analytics, operational reporting, machine insights, and future AI/ML initiatives.
Requirements
- 5+ years of experience in data engineering, data infrastructure, or backend infrastructure engineering roles
- Strong experience designing and building ETL/ELT pipelines in production environments
- Deep understanding of modern data warehouse architecture and data modeling principles
- Strong programming experience in Python, SQL, and/or other backend-oriented languages
- Experience working with cloud-based data platforms and infrastructure (AWS, GCP, or Azure)
- Experience with technologies such as Snowflake, Redshift, BigQuery, Databricks, Kafka, Airflow, dbt, or similar modern data stack tools
- Strong understanding of database design, query optimization, and distributed data systems
- Experience handling large-scale, high-volume datasets from connected devices, IoT systems, or operational platforms is a plus
- Ability to operate independently and drive technical architecture decisions
- Strong communication and collaboration skills in cross-functional environments
Benefits
- Equity and benefits are included for all full-time employees