Senior Data Engineer - Remote

Overview

As a Senior Data Engineer at SMG, you will lead data engineering practices, mentor teams, and drive initiatives to enhance the company's data infrastructure.

In Short

• Lead by example in data engineering practices.
• Inspire and mentor data engineering teams.
• Build deployment pipelines for data workflows.
• Collaborate with leadership on data engineering vision.
• Refactor and rebuild aging data infrastructure.
• Champion modern data engineering practices.
• Advocate for tidy code practices.
• Collaborate cross-functionally to solve technical challenges.
• Manage timelines, resources, and risks effectively.

Requirements

• Bachelor's degree in computer science or related field.
• 4+ years of experience in data engineering.
• Expertise in SQL, Python, dbt, Snowflake, Apache Spark, Kafka, Airflow.
• Strong understanding of modern data engineering practices.
• Experience with Databricks and Snowflake is desirable.
• Excellent leadership and communication skills.
• Ability to learn and adapt to new technologies.
• Thrive in a dynamic, fast-paced environment.
• Demonstrated ability to drive change and influence stakeholders.

Benefits

• Work hard, have fun environment.
• Values driven culture.
• Remote first company.
• Unlimited PTO.
• Tech provided.
• Company sick pay.