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We’re looking for a Data Engineer with a solid foundation in building robust data pipelines and a collaborative mindset to join our Marketing Data Engineering team. If you thrive in a fast-paced environment, enjoy working cross-functionally, and are eager to embrace change (especially innovations like AI coding assistants), this could be your next adventure!
Job Responsibility:
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
Proficient in SQL and Python, and know how to write scalable, maintainable code
Worked with AI coding tools and are excited about how they’re shaping the future of development
Understand modern data architecture from ingestion to transformation to delivery
Built and operated Airflow pipelines (or something similar)
You’re comfortable estimating project scope, managing timelines, and delivering reliably
Nice to have:
Excellent collaborator and communicator, comfortable working with technical and non-technical peers
Solution-oriented and driven by curiosity
Welcome change and innovation, and you’re quick to adapt your tools and practices
Thrive in an international, fast-paced, and feedback-driven environment
What we offer:
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)