Senior Data Engineer - Remote | BigQuery, dbt & AWS

99x Brazil; United States; Remote; USD 39.000 - 67.000; Vollzeit

Benefits dieser Stelle

Fully remote

Flexible hours

Mentoring culture

Learning resources

Zusammenfassung

Insurtech is seeking a Senior Data Engineer to design, build, and optimize large-scale data pipelines on AWS, with BigQuery/Snowflake and dbt for data transformation. You will mentor juniors, collaborate with data scientists, and ensure data reliability in a remote, flexible environment.

This fully remote role requires 4+ years in data engineering, strong SQL, and cloud experience. Don’t miss the chance to work on a modern data stack and scalable insurance data platforms.

Qualifikationen

• 4+ years of hands-on experience in Data Engineering or related fields.
• Strong proficiency in Google BigQuery, including designing and optimizing queries, or equivalent data warehouse (Snowflake).
• Knowledge of dbt for data transformation and model management.
• Proficiency in Python for data engineering tasks, including scripting and automation.
• Solid experience with Apache Airflow for workflow orchestration and task automation.
• Extensive experience in building and maintaining ETL pipelines.
• Familiarity with cloud platforms, particularly AWS (S3, Lambda, Redshift, Glue).
• Excellent problem-solving and collaboration skills.

Aufgaben

• Design, develop, and optimize complex ETL pipelines that integrate large data sets from various sources.
• Build and maintain high-performance data models using Google BigQuery / Snowflake and DBT for data transformation.
• Develop Python scripts for data ingestion, transformation, and automation.
• Implement and manage data workflows using Apache Airflow for scheduling and orchestration.
• Collaborate with data scientists, analysts, and other stakeholders to ensure data availability, reliability, and performance.
• Troubleshoot and optimize data systems, identify issues, and resolve them proactively.
• Work on cloud-based platforms, particularly AWS, to leverage scalability and storage options for data pipelines.
• Ensure data integrity, consistency, and security across systems.
• Take ownership of end-to-end data engineering tasks while mentoring junior team members.
• Continuously improve processes and technologies for more efficient data processing and delivery.
• Act as a key contributor to developing and supporting complex data architectures.

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

BigQuery

Snowflake

dbt

Python

Apache Airflow

AWS

Jobbeschreibung

Insurtech is seeking a Senior Data Engineer to design, build, and optimize large-scale data pipelines on AWS, with BigQuery/Snowflake and dbt for data transformation. You will mentor juniors, collaborate with data scientists, and ensure data reliability in a remote, flexible environment.

This fully remote role requires 4+ years in data engineering, strong SQL, and cloud experience. Don’t miss the chance to work on a modern data stack and scalable insurance data platforms.