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.
• Lead the Development of Complex, End-to-End Data Pipelines Using Native Snowflake Services
  • Architect and build data pipelines using Dynamic Tables for declarative SQL-based transformations with automated dependency management and incremental refresh.
  • Implement real-time and near-real-time ingestion using Snowpipe and Snowpipe Streaming.
  • Design event-driven and procedural pipeline logic using Streams and Tasks for complex orchestration scenarios (MERGE, SCD patterns, external function calls).
  • Leverage Snowpark (Python) for advanced transformations that require procedural logic beyond SQL.
• Collaborate with Data Scientists, Analysts, and Other Stakeholders
  • Work closely with analytics and data science teams to understand data requirements and translate them into scalable, performant Snowflake solutions.
  • Build and maintain Semantic Views and governed consumption layers that provide self-service access to curated data.
  • Provide technical guidance on Snowflake best practices for data usage, cost optimization, and warehouse sizing.
• Ensure Data Security, Governance, and Compliance Standards Are Met
  • Implement and manage Snowflake data governance features including Dynamic Data Masking, Row Access Policies, Object Tagging, and Data Classification.
  • Establish and maintain data governance frameworks ensuring data quality and compliance with relevant regulations (SOX, GDPR, HIPAA).
  • Manage role-based access control (RBAC), data sharing, and cross-account governance using Snowflake's native security model.

 

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).
  • Strong understanding of incremental processing patterns, change data capture (CDC), and slowly changing dimension (SCD) strategies.
• Expertise in Snowflake Platform and Native Data Pipeline Services
  • Deep proficiency with Snowflake Dynamic Tables (TARGET_LAG, REFRESH_MODE, pipeline dependency graphs, incremental vs. full refresh).
  • Hands-on experience with Snowpipe and Snowpipe Streaming for continuous and real-time data ingestion.
  • Strong knowledge of Snowflake Streams and Tasks for event-driven and procedural pipeline orchestration.
  • Experience with Snowpark (Python/Scala) for complex data transformations and UDFs/UDTFs.
  • Familiarity with Snowflake Cortex AI functions for embedding AI/ML capabilities into data pipelines.
• Proficiency in SQL, Python, and Data Engineering Frameworks
  • Adva