Senior Data Engineer
Senior
Analytics
Business Analytics
Business Intelligence
Cloud Data Warehouse
Cloud Data Warehouse
Cloud Platform
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Analytics Tools
Data Architecture
Data Build Tool
Data Engineer
Data Engineering
Data Integration
Data Management
Data Modeling
Data Operations
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Visualization
Data Warehouse
Data Warehousing
Database
Databases
Digital Marketing
Engineer
ETL
Hr Technology
Informatica
Information Technology (IT)
Microsoft
Microsoft Office
Office Tools
Power BI
Power Platform
Reporting and Analytics
Snowflake
SQL
Visual Design
Job Description
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
Similar Jobs
