Data Engineer

Skills

Description

We are seeking an experienced Data Engineer with expertise in Snowflake, DBT, and Dagster (or Airflow)  to provide architectural guidance and accelerate project delivery for a client initiative. This role will focus on building foundational data infrastructure, designing efficient data workflows, and implementing data export/import processes across multiple project phases.  The ideal candidate will play a critical role in understanding existing systems, designing scalable solutions, and collaborating with internal teams to ensure seamless execution and validation of business requirements.

Responsibilities

• Analyze and understand existing data models.
• Design and build a new data environment using Snowflake, DBT, and Dagster (or Airflow).
• Develop and implement data export and import workflows to support project requirements.
• Collaborate with QA teams to validate business rules and ensure data accuracy.
• Document architecture, processes, and business rules, and provide knowledge transfer to internal teams.
• Participate in leadership checkpoint meetings to review progress and align on objectives.
• Required Skills:
• Expertise in Snowflake for data architecture, implementation, and optimization.
• Proficiency with DBT (Data Build Tool) for data transformation and modeling.
• Experience with Dagster (or Airflow) for orchestration and pipeline management.
• Strong knowledge of data export/import processes and pipeline creation.
• Proven ability to work with large datasets and validate business rules through testing.

Educational Requirements

• Bachelor’s degree in Computer Science, Data Engineering, or a related field (or equivalent experience).
• 5+ years of experience in Data Engineering roles, with hands-on experience in Snowflake, DBT, and Dagster.
• Proven success in projects involving data migration, transformation, and pipeline automation.