Senior Data Engineer
Core
Design, build, and maintain end-to-end data ingestion pipelines and systems for time-series, textual, and event stream data to support AI-driven energy transaction infrastructure.
Role type
Senior individual contributor data engineer
Builds
High-reliability data ingestion pipelines, ETL/ELT systems, and monitoring/alerting infrastructure for energy market data
Domain
Energy / Climate Tech / AI Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, AWS or GCP, Terraform, end-to-end pipeline ownership, data quality assurance, observability engineering
Preferred skills
Time-series data at scale, modern data stack (Airflow, Snowflake, BigQuery, Redshift, ClickHouse), energy or climate tech domain experience, high-growth startup background
Technologies
Python, AWS, GCP, Terraform, Airflow, Snowflake, BigQuery, Redshift, ClickHouse
Responsibilities
Own design and resilience of ingestion pipelines including recovery strategies; Build and maintain ETL/ELT pipelines; Implement monitoring and alerting to prevent incidents; Define and enforce data quality checks for SLAs; Optimize pipelines for performance and cost; Support platform expansion for international growth
Seniority
Senior, hands-on IC