Snowflake Data Engineer

Role Overview

We are seeking a Snowflake Data Engineer to join our Data & Analytics team. This role involves designing, implementing, and optimizing Snowflake-based data solutions. The ideal candidate will have proven, hands-on data engineering expertise in Snowflake, cloud data platforms, ETL/ELT processes, and Medallion data architecture best practices.

What You Will Do

Participate in the design, development, and maintenance of a scalable Snowflake data solution serving our enterprise data & analytics team. Implement data pipelines, ETL/ELT workflows, and data warehouse solutions using Snowflake and related technologies.

Why It Might Be a Fit

This role will take direction from the Lead Snowflake Data Engineer and Director of Data Engineering for their work while bringing their own domain expertise and experience.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• 4+ years of experience in-depth data engineering, with at least 1+ minimum year(s) of dedicated experience engineering solutions in an enterprise scale Snowflake environment.
• Tactical expertise in ANSI SQL, performance tuning, and data modeling techniques.
• Strong experience with cloud platforms (preference to Azure) and their data services.
• Experience in ETL/ELT development using tools such as Azure Data Factory, dbt, Matillion, Talend, or Fivetran.
• Hands-on experience with scripting languages like Python for data processing.
• Snowflake SnowPro certification; preference to the engineering course path.
• Experience with CI/CD pipelines, DevOps practices, and Infrastructure as Code (IaC).
• Knowledge of streaming data processing frameworks such as Apache Kafka or Spark Streaming.
• Familiarity with BI and visualization tools such as PowerBI.

Benefits

• Base Compensation
• Discretionary incentive bonus
• Performance-based incentive plan
• Referral Bonus