Snowflake Data Engineer - Remote

Overview

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com

We are seeking a to contribute to our next level of growth and expansion.

What is this position about?

We are seeking a highly skilled Data engineer with strong experience in high-touch implementations to join our team. The ideal candidate has expertise in Snowflake and Customer Data Platforms (CDPs), and is capable of managing complex data integration projects within secure environments.

In Short

• 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.

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

Benefits

• Learning Opportunities: Certifications in AWS, 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.
• Mentoring and Development: Career development plans and mentorship programs to help shape your path.
• Celebrations & Support: 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.