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

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLdata pipelinesdata orchestrationdata transformationdata cleaningdata enrichmentAI coding toolsAirflowdata architecture

Soft Skills

collaborationcommunicationsolution-orientedcuriosityadaptabilityproject managementtimeline managementreliabilityinnovationfeedback-driven