Senior Data Engineer (Americas)

Senior Data Engineer in the Americas, responsible for building and maintaining a robust data platform, designing and optimizing data models, ETL pipelines, and semantic layers, and driving continuous improvements in performance, governance, and AI-readiness of the data stack.

Requirements

• 3–5 years of hands-on experience as a Data Engineer or Analytics Engineer in fast-paced environments.
• Advanced proficiency in SQL, dbt, and Python.
• Experience with cloud data warehouses such as Snowflake (or similar).
• Familiarity with ETL/orchestration tools like Fivetran, Stitch, or Airflow.
• Proven ability to collaborate with analytics, product, and data science teams on shared modeling and enablement goals.
• Strong problem-solving skills with the ability to balance pragmatism and technical rigor.

Benefits

• Competitive salary starting at $130,000 USD (or local equivalent), depending on experience.
• 100% coverage of medical, dental, vision, mental health, and supplemental insurance for you and your family.
• 16 weeks paid parental leave and unlimited PTO.
• Stipends for remote work, wellness, and professional development.
• Inclusive, collaborative work environment focused on growth, continuous learning, and innovation.
• Opportunity to work with modern analytics technologies and shape the company’s data infrastructure.