Senior Data Engineer - Technology

About the role

We are seeking a Senior Data Engineer to design, build, and maintain robust data pipelines that support our data science and client‑facing teams. You will work remotely, collaborating with a global network of professionals to deliver high‑quality data solutions for a leading insights and strategy firm.

Key responsibilities

• Build, test, and maintain data pipelines for internal and client data, ensuring efficiency and stability.
• Parse, clean, and integrate raw data from third‑party APIs, surveys, clickstreams, and movie metadata.
• Develop ETL processes using Snowflake and dbt, and create data transformations for relational and non‑relational databases.
• Provide recommendations on data storage, configurations, and new technologies, and support BI integration (e.g., Tableau).
• Participate in developing data APIs for client data ingestion and assist developers with database queries.
• Collaborate with external vendors on data engineering and architecture projects, maintaining data integrity and ecosystem efficiency.

Required profile

• 3‑5+ years of experience building data pipelines or ETL processes.
• Strong expertise with Snowflake and dbt (required).
• Hands‑on experience with cloud platforms (GCP or AWS) and SQL/database technologies.
• Proficiency with version control (Git/GitHub) and orchestration tools (Dagster or similar).
• Ability to work autonomously in a remote environment and contribute to cross‑functional teams.

Required skills

• dbt
• Snowflake
• SQL
• GCP or AWS
• Git/GitHub
• Dagster (or other orchestration tools)
• Data pipeline/ETL development
• BI tool integration (Tableau)

What we offer

• 100% remote work
• Highly competitive USD compensation
• Paid time off
• Autonomous work schedule
• Opportunities to work with top American companies
• Access to a diverse global network of 600+ professionals across 25+ countries