Senior data engineer

If you have an interest in being part of one of the fastest growing industries in the nation in you may consider wanting to work for Trulieve! If you have a desire to help others in need through your efforts, this may be the role for you!

At Trulieve, we strive to bring our patients the relief they need in a product they can trust. Our plants are hand-grown in an environment specially designed to reduce unwanted chemicals and pests, keeping the process as natural as possible at every turn.

Our products are designed to alleviate seizures, severe and persistent muscle spasms, pain, nausea, loss of appetite, and other symptoms associated with serious medical conditions such as cancer.

Our specially trained staff works hand-in-hand with physicians to provide the right products and the correct dosage to ensure patients get the compassionate care they need.

To learn more about our company, please visit our website; https://www.trulieve.com

Requisition ID: 19863

Remote Work Available: Yes Job Title: Senior Data Engineer Department: Data Engineering Reports to: Senior Director of Data Platform Engineer Location: Remote

Responsibilities

• Design and Implement Snowflake-Native Data Architectures
• Lead the creation and optimization of modern data architectures on Snowflake, including multi-layer pipelines (bronze/silver/gold), real-time streaming ingestion, and governed analytics layers.
• Ensure that the architecture supports high-volume data workloads, near-real-time freshness requirements, and integrates seamlessly with upstream operational systems and downstream analytics consumers.

Skills

• Deep Understanding of Data Engineering Concepts
• Extensive knowledge of data modeling, including designing and maintaining relational, dimensional, and semi-structured data models within Snowflake.
• Proficiency in data warehousing concepts with hands-on experience designing multi-layer transformation pipelines (staging, intermediate, marts).

Experience

Substantial Professional Experience in Data Engineering

Typically requires 7+ years of experience in data engineering or related fields.

Proven track record of designing and implementing large-scale data solutions on Snowflake or similar cloud data platforms.

2+ years of hands-on experience with Snowflake-native pipeline services (Dynamic Tables, Streams/Tasks, Snowpipe).