Senior Data Engineer – GCP & Python (Remote)

About the role

As a Senior Data Engineer (GCP, Python), you will design, build, and optimize robust data pipelines to support enterprise‑scale analytics. You will drive the development of scalable streaming and batch data processing solutions, ensuring seamless integration and data availability across the modern cloud environment.

Key responsibilities

• Design, implement, and maintain highly scalable batch and streaming data pipelines.
• Architect and optimize robust ETL/ELT workflows utilizing cloud‑native services and orchestrators.
• Develop and optimize high‑performance data models tailored for downstream analytical use cases.
• Collaborate with product and engineering teams to integrate diverse datasets and establish data quality standards.
• Monitor, troubleshoot, and continuously improve pipeline performance to guarantee efficiency and reliability.

Required profile

• 5+ years of experience in Data Engineering, Software Engineering, or a related field.
• Strong hands‑on experience with Python and GCP services such as BigQuery, Dataflow, and Pub/Sub.
• Proven expertise in designing streaming data pipelines and robust ETL/ELT workflows.
• Solid understanding of workflow orchestration with Apache Airflow or Cloud Composer and data modeling for analytics.
• Advanced proficiency in English.

What we offer

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred.
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and holidays.
• Innovative and multicultural work environment collaborating with the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.