About this role

Design, build, and maintain Python Flask ETL microservices and automated data pipelines
Develop, schedule, and monitor workflows using Apache Airflow
Implement data ingestion from diverse sources, including Snowflake, flat files, cloud storage, and public APIs
Partner with analytics and business teams to understand data requirements and deliver reliable, well-structured datasets
Optimize pipeline performance, ensure data quality, and support production stability
Contribute to DevOps best practices, including CI/CD workflows, testing, logging, and observability
Document processes, data flows, and system dependencies for operational clarity

3+ years of experience designing and building ETL processes in Python
Demonstrable hands-on experience with: Apache Airflow for workflow orchestration
Integrating data from Snowflake, flat files, and REST/JSON public APIs
SQL, data modeling, and production data engineering practices
Ability to collaborate effectively across distributed teams; quarterly travel is required

Data Engineer

Key skills