Data Engineer

The Data Engineer will be a key technical leader responsible for the architecture, development, and optimization of mission-critical data pipelines that power AssetMark's platform.

Requirements

• Cloud Expertise: Proven hands-on experience building and deploying data solutions on Microsoft Azure.
• Data Warehouse: Deep expertise with Snowflake architecture, optimization, and advanced SQL features.
• Programming: Strong proficiency in Python for data manipulation, scripting, and pipeline automation.
• Modeling: Solid experience with data modeling techniques (Dimensional, 3NF, or Data Vault) and developing complex ETL/ELT workflows.
• Data Ops: Experience with modern data transformation tools like dbt (Data Build Tool) and orchestration tools (e.g., Azure Data Factory, Airflow).
• Experience working in the financial services or wealth management domain.
• Prior exposure to Data Observability platforms (e.g., Monte Carlo, Collibra).
• Familiarity with Generative AI (GenAI) concepts or hands-on use of LLM coding assistants (e.g., Copilot) to improve engineering efficiency.
• Experience with real-time or streaming data technologies (e.g., Kafka, Azure Event Hubs).
• Proficiency with Infrastructure as Code (IaC) tools like Terraform.

Benefits

• Flex Time or Paid Time Off and Sick Time Off
• 401K – 6% Employer Match
• Medical, Dental, Vision – HDHP or PPO
• HSA – Employer contribution (HDHP only)
• Volunteer Time Off
• Career Development / Recognition
• Fitness Reimbursement
• Hybrid Work Schedule