Senior Data Engineer - Platform Modernization & Migration (Fully Remote)

Jobgether; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Jobgether is modernizing legacy data infrastructure to a scalable, high-performance environment. The role focuses on migrating 1,000 datasets to Snowflake and upgrading Airflow to version 3, while moving Hive to Iceberg and reconfiguring Kafka streaming for better throughput.

The ideal candidate will optimize SQL and data pipelines, contributing to a fully remote, globally distributed engineering culture in Brazil and beyond.

Qualifications

• 2+ years data engineering with distributed systems.
• Strong Python and SQL.
• Experience with Snowflake, Airflow, Spark, and Kafka.

Responsibilities

• Migrate 1,000 datasets to Snowflake and modernize Airflow to v3.
• Move Hive to Iceberg; reconfigure Kafka streaming.
• Optimize SQL and pipelines for performance.

Skills

Python

SQL

Distributed systems

Snowflake

Airflow

Spark

Kafka

Iceberg

Parquet

AWS S3

Tools

Snowflake

Airflow

Spark

Kafka

Iceberg

Parquet

AWS S3

Job description

• Migrate 1,000 datasets to Snowflake and modernize Airflow to v3.
• Move Hive to Iceberg; reconfigure Kafka streaming.
• Optimize SQL and pipelines for performance.

Requirements:

• 2+ years data engineering with distributed systems.
• Strong Python, SQL, Snowflake, Airflow, Spark, Kafka.
• Knowledge of Iceberg, Parquet, AWS S3.
• Fully remote from Brazil.
• Permanent full-time role.
• Modern stack and global team.

Jobgether

The company is modernizing legacy data infrastructure to a scalable, high-performance environment, migrating 1,000 datasets to Snowflake. They value technical excellence, autonomy, and efficient delivery in a globally distributed engineering culture.