Senior Data Engineer

Build and optimize data infrastructure and Business Intelligence capabilities that turn raw data into actionable insights for data-driven decision-making.

Responsibilities

• Design, develop, and optimize data pipelines in Snowflake using efficient ETL (Extract Transform Load) and/or ELT (Extract Load, Transform) approaches while following data warehouse best practices
• Implement and manage scalable data models and transformations using dbt (Data Build tool) 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
• Partner with data architects, DBAs, and other stakeholders to deliver data solutions that 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

Requirements

• Advanced-level business acuity and strong understanding of core job functions, practices, processes, procedures, techniques, and methods
• Extensive Snowflake experience, including data modeling, performance tuning, and security features
• Strong SQL skills and experience with Python or other programming languages
• Expert knowledge of data warehouse concepts and modern data architectures
• Experience with cloud platforms: AWS , Azure , or GCP , plus data integration tools
• Familiarity with BI tools compatible with Snowflake , such as Tableau , Power BI , or Looker
• Strong analytical and problem-solving ability with attention to detail
• Excellent communication skills with the ability to collaborate with both technical and non-technical stakeholders
• Advanced skills in Microsoft Office Suite (Excel, Word, PowerPoint, Outlook); competency in other required systems
• Ability and willingness to travel locally, regionally, and/or nationally up to 10% , and to work evenings, weekends, and/or holidays as needed
• Spoken and written fluency in English
• Ability to use and exercise independent judgment

Education and Experience Criteria

• BA/BS degree in Computer Science, Data Engineering, or related field; Master’s degree preferred or additional experience above the minimum may be considered in lieu of required education on a year-for-year basis
• Minimum 5 years of work experience in data engineering or related roles
• 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

Technologies

• Snowflake , ETL , ELT , dbt (Data Build tool), SQL , Python
• Stored procedures , user-defined functions
• AWS , Azure , GCP
• Tableau , Power BI , Looker
• Microsoft Office Suite (Excel, Word, PowerPoint, Outlook)

Location

• Miami, FL (onsite)

Compensation

• $99,369 - $141,957 salary (per year)
• Final compensation will depend on factors including experience, education, geographic location, and other relevant factors
• May be eligible for bonuses or commissions

Benefits