Senior Data Engineer

ChenMed•Miami Gardens, FL

19d•$99,369 - $141,957•Onsite

About The Position

The Senior Data Engineer develops, improves, and maintains data infrastructure and Business Intelligence systems. The role uses Snowflake and other modern data technologies to transform raw data into actionable insights, automated reports, and interactive dashboards. The engineer works with business units and technical teams to support data-driven decision-making across the organization.

Requirements

Minimum of 5 years of work experience in data engineering or related roles.
BA/BS degree in Computer Science, Data Engineering, or a related field; additional experience above the minimum may be considered in lieu of required education on a year-for-year basis.
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 such as AWS, Azure, or GCP and data integration tools.
Familiarity with BI tools compatible with Snowflake, such as Tableau, Power BI, or Looker.
Strong analytical and problem-solving skills, with attention to detail.
Excellent communication skills and ability to collaborate with technical and non-technical stakeholders.
Advanced skill in Microsoft Office Suite products, including Excel, Word, PowerPoint, and Outlook, and competence in other systems required for the position.
Ability and willingness to travel locally, regionally, and/or nationally up to 10% of the time; flexibility to work evenings, weekends, and/or holidays as needed.
Spoken and written fluency in English.
Ability to use and exercise 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 Snowflake data pipelines and efficient ETL/ELT processes in accordance with data warehouse best practices.
Implement and manage scalable data models and transformations using tools such as dbt 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 stakeholders to ensure data solutions are reliable, scalable, and maintainable.
Identify and resolve data quality issues to improve data integrity across systems.
Document data processes, architectures, and code to support knowledge transfer and maintainability.
Mentor junior team members and provide technical guidance on Snowflake best practices.
Perform other duties as assigned and modified at the manager’s discretion.