Senior Data Engineer
Location: Florida (Orlando) / Remote
Experience Required: 6+ Years

About the Role - We are looking for an experienced Data Engineer with over 6 years of experience to design, build, and optimize data pipelines and data models that drive business insights. The ideal candidate has strong expertise in SQL, Python, data warehousing, and hands-on experience with Snowflake and DBT Cloud.
Key Responsibilities:

Design, develop, and maintain scalable and reliable data pipelines using modern cloud data platforms.
Implement and optimize data warehouse solutions using Snowflake and DBT.
Write complex SQL queries for data extraction, transformation, and analysis.
Collaborate with data analysts, scientists, and business stakeholders to understand data requirements and deliver reliable data models.
Build and maintain high-quality data documentation and ensure data governance best practices.
Monitor and improve the performance, reliability, and efficiency of existing data workflows.
Contribute to data architecture and modeling discussions to enhance data platform scalability and performance.

Required Skills:
6+ years of experience in data engineering roles.
Strong proficiency in SQL and data modeling principles.
Deep understanding of ETL/ELT processes and data warehousing concepts.
Hands-on experience with Snowflake (data warehouse) and DBT (for data quality / data transformation).
Snowflake: Proficiency in Snowflake data warehouse including architecture, data warehousing, security, and performance optimization
Proven expertise in DBT (Core / Cloud) in 1 or 2 projects :
Building modular, maintainable, and reusable DBT models and macros.
Managing DBT projects and integrating them with CI/CD pipelines.
Writing and scheduling DBT tests for data quality assurance.
Implementing environment setups (dev/stage/prod) and version control for DBT projects.
Good hands-on experience with data pipeline orchestration tools (e.g., Airflow, Prefect, Dagster).
Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Soft Skills:
- Strong analytical and problem-solving abilities
- Excellent communication skills with experience working in consulting or client-facing roles
- Strong attention to detail and commitment to data quality
Education & Certifications:
- Bachelors / Masters degree in Computer Science, Engineering, Mathematics, or related technical field
- AWS DE / Solution architect certifications will be an added advantage
- Snowflake certifications (SnowPro Core, Advanced) is a big plus

Data Engineer - Snowflake, DBT

Key skills

About this role