Senior Data Engineer — Snowflake, Data Privacy & Pipelines

Blend; Santiago; Hybrid; CLP 40,000,000 - 70,000,000; Full time

Benefits offered by this job

AWS certification

Databricks certification

Snowflake certification

Udemy Business access

English lessons

Travel opportunities

Mentorship programs

Birthday/anniversary rewards

Company equipment

Flexible working options

Job summary

Blend seeks a Senior Data Engineer to advance governance, privacy, and transformation capabilities across enterprise data platforms. You will implement Snowflake‑based governance, automate privacy workflows, and collaborate with teams to build scalable data architectures and pipelines.

The role emphasizes hands‑on work with Snowflake, ETL/ELT frameworks, and JSON data handling, coupled with Cloud data platforms and scripting in Python/Bash.

Qualifications

• 3+ years of experience in Data Engineering or related fields with Snowflake and privacy‑focused data solutions.

Responsibilities

• Develop and implement Snowflake‑based governance solutions ensuring data quality, security, and compliance across enterprise platforms.
• Build automated privacy processes to streamline data protection workflows and reduce manual interventions.
• Support data cleanup initiatives to maintain data integrity and optimize warehouse performance.
• Implement data masking and obfuscation techniques to safeguard sensitive information.
• Assist with JSON field privacy remediation to ensure compliance with data protection standards.
• Collaborate with cross‑functional teams to design scalable data architecture and pipeline solutions.

Skills

Snowflake SQL

ETL/ELT pipelines

Data privacy governance

JSON data processing

Cloud data platforms

Automation scripting

Problem solving

Python

Bash

Tools

Python

Bash

Job description

Blend seeks a Senior Data Engineer to advance governance, privacy, and transformation capabilities across enterprise data platforms. You will implement Snowflake‑based governance, automate privacy workflows, and collaborate with teams to build scalable data architectures and pipelines.

The role emphasizes hands‑on work with Snowflake, ETL/ELT frameworks, and JSON data handling, coupled with Cloud data platforms and scripting in Python/Bash.