Senior Data Engineer

ChenMed•Miami Gardens, FL

37d•Onsite

About The Position

The Senior Data Engineer will play a crucial role in developing, improving, and maintaining our data infrastructure and Business Intelligence systems. This position requires expertise in Snowflake and other modern data technologies to transform raw data into actionable insights, automated reports, and interactive dashboards. The ideal candidate will work closely with business units and technical teams to drive data-driven decision-making across the organization.

Requirements

Advanced-level business acuity
In-depth knowledge and understanding of general/core job-related functions, practices, processes, procedures, techniques and methods
Extensive experience with Snowflake, including data modeling, performance tuning, and security features
Strong proficiency in SQL and experience with Python or other programming languages
Expertise in data warehouse concepts and modern data architectures
Experience with cloud platforms (AWS, Azure, or GCP) and data integration tools
Familiarity with BI tools compatible with Snowflake (e.g., Tableau, Power BI, or Looker)
Strong analytical and problem-solving skills with attention to detail
Excellent communication skills and ability to collaborate with both technical and non-technical stakeholders
Advanced skill in Microsoft Office Suite products including Excel, Word, PowerPoint and Outlook; competent in other systems required for the position
Ability and willingness to travel locally, regionally and/or nationally up to 10% of the time; flexible to work evening, weekends and/or holidays as needed
Spoken and written fluency in English
This job requires use and exercise of independent judgment

Nice To Haves

Master’s degree preferred
Experience with real-time data streaming and processing
Knowledge of machine learning concepts and their data requirements
Familiarity with data governance and security best practices
Experience in the healthcare or finance industry

Responsibilities

Design, develop, and optimize data pipelines using Snowflake, focusing on efficient ETL (Extract Transform Load)/ELT (Extract Load, Transform) processes and adhering to data warehouse best practices
Implement and manage scalable data models and transformations using tools like dbt (Data Build tool) in conjunction with Snowflake
Create and maintain complex SQL queries, stored procedures, and user-defined functions in Snowflake
Develop reports, dashboards, and analytics solutions using Snowflake and compatible BI tools
Collaborate with data architects, DBAs, and other stakeholders to ensure data solutions are reliable, scalable, and maintainable
Proactively identify and resolve data quality issues, improving data integrity across systems
Document data processes, architectures, and code to ensure knowledge transfer and maintainability
Mentor junior team members and provide technical guidance on Snowflake best practices
Performs other duties as assigned and modified at manager’s discretion.