Senior Snowflake Data Engineer – Remote/Hybrid (LatAm)

APPLY

United States

Hybrid

USD 120,000 - 190,000

Full time

14 days+
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Benefits offered by this job

Generous vacation policy
Flexible work arrangements
Inclusive culture

Job summary

APPLY is seeking a senior data engineer to design, build, and maintain scalable data pipelines and architectures for analytical and operational workloads. You will develop and optimize ETL/ELT pipelines, collaborate with backend engineers to integrate data into cloud-native applications, and manage data warehouses with a focus on performance and cost efficiency.

You will work with Snowflake, dbt, Airflow, and other modern tooling while upholding data governance and privacy standards.

Qualifications

  • 5+ years in data engineering, building cloud data platforms.
  • Strong Snowflake skills including performance tuning and security.
  • Advanced SQL for analytics and data transformation.
  • Python for data processing, automation, and orchestration.

Responsibilities

  • Design, build, and maintain scalable data pipelines and architectures for analytics and operations.
  • Develop and optimize ETL/ELT pipelines across sources.
  • Integrate data pipelines into cloud-native apps with backend/platform teams.
  • Manage cloud data warehouses (BigQuery focus in description; adapt as needed) and optimize performance and cost.
  • Implement data governance, security, and privacy best practices.

Skills

SQL
Python
English communication
Data modeling
Data governance

Tools

Snowflake
dbt
Dagster
Apache Airflow
Looker/Tableau/Power BI

Job description

APPLY is seeking a senior data engineer to design, build, and maintain scalable data pipelines and architectures for analytical and operational workloads. You will develop and optimize ETL/ELT pipelines, collaborate with backend engineers to integrate data into cloud-native applications, and manage data warehouses with a focus on performance and cost efficiency.

You will work with Snowflake, dbt, Airflow, and other modern tooling while upholding data governance and privacy standards.

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