Key skills
AirflowPythonSQLAIData EngineeringAgileCommunicationCollaboration
About this role
Role Overview
- Design, build, and maintain high-performance data pipelines and orchestration workflows
- Write clean, modular Python code to transform, parse, clean, and enrich large datasets
- Support stakeholders by developing dashboards and visualizations
- Partner closely with marketing analysts, engineers, and data scientists to define and deliver data needs
- Actively participate in agile ceremonies, code reviews, and planning discussions
- Experiment with and use AI coding tools to boost productivity and code quality
Requirements
- 6+ years of professional experience in data engineering
- Proficiency in SQL and Python, and know how to write scalable, maintainable code
- Experience working with AI coding tools and are excited about how they’re shaping the future of development
- Understanding modern data architecture from ingestion to transformation to delivery
- Built and operated Airflow pipelines (or something similar)
- Comfort estimating project scope, managing timelines, and delivering reliably
- Excellent collaboration and communication skills, comfortable working with technical and non-technical peers
- A solution-oriented mentality, driven by curiosity
- Welcomed change and innovation, and you’re quick to adapt your tools and practices
- Thrived in an international, fast-paced, and feedback-driven environment
Tech Stack
- Airflow
- Python
- SQL
Benefits
- health benefits
- flexible spending account
- retirement benefits
- life insurance
- paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays)
- parental leave benefits