Data Engineer

Summary

Join Blend, a leading AI services provider, as a highly skilled Data Engineer with expertise in Snowflake and Customer Data Platforms (CDPs). In this role, you will design and implement scalable data pipelines, integrate data flows across multiple systems, and collaborate with cross-functional teams. You will leverage medallion architecture patterns for efficient data processing and ensure data privacy and compliance within secure environments. The ideal candidate possesses 7+ years of experience in data engineering or integration roles and strong hands-on experience with Snowflake and SQL. This position offers flexible working options, including 100% remote work for LATAM-based candidates, and a comprehensive benefits package including learning opportunities, mentorship, and celebrations.

Requirements

• Strong hands-on experience with Snowflake and SQL performance optimization
• Deep understanding of Customer Data Platforms (CDPs) and data ingestion best practices
• Proven experience with medallion architecture deployment in production environments
• Familiarity with secure network configurations and data handling in enterprise environments
• Excellent problem-solving skills and attention to detail
• Strong communication skills and client-facing experience
• Experience working with modern data tools (e.g., dbt, Airflow, Fivetran)
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• You will need excellent written and verbal English for clear and effective communication with the team
• In order to thrive in this role, you must have at least 7+ years of experience in Data Engineering or Integration roles

Responsibilities

• Design and implement scalable data pipelines and transformations using Snowflake and modern data engineering practices
• Integrate data flows across multiple systems, including Customer Data Platforms (CDPs), ensuring accuracy, consistency, and performance
• Work closely with cross-functional teams (Data, Engineering, Security) to align integration solutions with client and product requirements
• Deploy and optimize medallion architecture patterns to support scalable and modular data processing
• Operate within secure network environments, following best practices for data privacy, compliance, and infrastructure access control
• Troubleshoot complex integration issues and provide timely, high-quality support to clients

Preferred Qualifications

Understanding of data privacy regulations (GDPR, CCPA, etc.) is a plus

Benefits

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake
• Access to AI learning paths to stay up to date with the latest technologies
• Study plans, courses, and additional certifications tailored to your role
• Access to Udemy Business, offering thousands of courses to boost your technical and soft skills
• English lessons to support your professional communication
• Career development plans and mentorship programs to help shape your path
• Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones
• Company-provided equipment
• Flexible working options to help you strike the right balance