Description:

The Data Engineer position at Reverse Tech involves loading raw data into BigQuery from various API sources to ensure data integrity, consistency, and reliability.
The role includes configuring, optimizing, and managing incremental and historical data loading jobs to support analytics and reporting requirements.
The Data Engineer will implement reverse ETL processes to extract clean data from BigQuery and feed it into other systems and platforms.
Developing custom connectors in Airbyte to integrate with external data sources and systems is a key responsibility of this role.

Requirements:

A Bachelor's degree in Computer Science, Engineering, or a related field is required, with an advanced degree preferred.
Proven experience as a Data Engineer or similar role, with expertise in loading and managing data (experience with BigQuery is a plus).
Strong proficiency in Python and experience with data modeling concepts and techniques are necessary.
Hands-on experience with workflow orchestration tools like Prefect or Airflow and familiarity with data loading tools such as Airbyte are essential.
Experience with reverse ETL processes and knowledge of cloud-based data platforms and services, particularly Google Cloud Platform (GCP), are required.

This position offers 100% remote work and flexible hours.
It is a full-time job with unlimited growth prospects.
The opportunity to learn from experienced professionals, including ex-Googlers.
Inclusion in a winning team that values care, extreme ownership, identification, communication, performance, and trust.
Competitive compensation and a fun, non-corporate atmosphere are additional benefits of this role.