Senior Data Engineer

About the Role

As a Data Engineer, you will contribute to building and optimizing the company’s data infrastructure. You’ll work on both batch and streaming pipelines, maintain the cloud data lakehouse, and support data-driven products across marketing automation, personalization, and customer insights. You’ll collaborate closely with Product, Analytics, and ML teams to enable data-driven insights, predictive models, and real-time customer engagement. This role involves hands-on work with data pipelines, data modeling, cloud data warehousing, and integration with modern data tools.

Location: LATAM

Time Zone: Team operates on U.S. East/West Coast hours

How You’ll Make an Impact

• Build and maintain reliable batch and streaming pipelines using Airflow, dbt, Fivetran, Pub/Sub, and similar tools.
• Model and transform data in BigQuery, ensuring high-quality, well-structured datasets for analytics and ML.
• Develop and maintain data lake architecture with Apache Iceberg on GCS.
• Collaborate with analytics and ML teams to prepare data for segmentation, scoring, and personalization use cases.
• Contribute to Customer Data Platform (CDP) development and real-time data activation layers.
• Ensure governance, compliance, and data quality standards are met.
• Support product initiatives by translating business requirements into reliable data solutions.
• Promote adoption of modern data engineering practices and tools across the team.

What We’re Looking For

• 3–5 years of experience in data engineering or analytics engineering.
• Strong skills in SQL and Python.
• Experience with modern data tools such as dbt, Fivetran, and Airflow.
• Familiarity with cloud data platforms, preferably GCP and BigQuery.
• Exposure to streaming technologies like Pub/Sub, Kafka, or Kinesis is a plus.
• Understanding of data modeling and transformation best practices.
• Curious, proactive, and willing to grow into more advanced responsibilities (e.g., architecture, ML pipelines).

What You’ll Love

• 100% Remote, flexible work environment.
• High-impact role on a data-first team with a clear roadmap.
• Work at the intersection of SaaS, AI, and customer experience.
• Modern GCP stack with tools like Vertex AI, dbt, and Iceberg.
• Collaborative, supportive team culture.
• Opportunities to grow and take ownership of advanced data initiatives.