Senior Data Engineer
Core
Design and scale the data platform, including pipelines, models, and orchestration frameworks to power data across the company.
Role type
Senior Data Engineer
Builds
Scalable ETL/ELT pipelines, workflow orchestration, semantic layers, and dashboards
Domain
SaaS platform for nonprofit grant discovery and management
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, ETL/ELT pipeline development, workflow orchestration (Airflow), cloud platforms (AWS/GCP/Azure), data warehousing (Snowflake/BigQuery/Redshift), BI tools (Looker/Tableau)
Preferred skills
Startup environment experience, data analytics concepts, streaming pipelines (Kafka/Kinesis), ML/AI data pipelines, Ruby/Rails
Technologies
Python, SQL, Airflow, AWS, GCP, Azure, Snowflake, BigQuery, Redshift, Looker, Tableau, Kafka, Kinesis
Responsibilities
Design and scale data platform architecture; Develop scalable ETL/ELT pipelines for data ingestion from APIs, databases, and event streams; Build and manage workflow orchestration; Establish best practices for data modeling, testing, and quality; Optimize systems for performance, scalability, and cost
Seniority
Senior, hands-on IC
