Data Engineer
6 - 10 years
United States
Contract
Remote
1 month ago
About the role
Role Overview -
Key Responsibilities
Required Skills & Qualifications
Preferred Qualifications
Key Deliverables
- We are looking for a skilled Data Engineer with 6-9 years of strong hands-on experience in building scalable and efficient data pipelines. The ideal candidate will have deep expertise in DBT, Snowflake, and Python, and a solid understanding of modern data engineering practices.
- You will be responsible for designing, developing, and optimizing data pipelines and transformation workflows to support analytics, reporting, and business intelligence needs.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using DBT, Snowflake, and Python
- Build and manage data transformation workflows using DBT (models, macros, testing, and documentation)
- Develop efficient data ingestion and processing pipelines using Python
- Optimize Snowflake data models, queries, and performance for large-scale datasets
- Ensure data quality, reliability, and consistency through testing and validation frameworks
- Collaborate with data analysts, business teams, and stakeholders to understand data requirements
- Implement best practices for data modeling, version control, and pipeline orchestration
- Monitor and troubleshoot data pipeline issues and performance bottlenecks
- Maintain clear and structured documentation for data workflows and pipelines
Required Skills & Qualifications
- 5–7 years of hands-on experience in Data Engineering
- Strong expertise in DBT (Data Build Tool)
- Solid experience with Snowflake (data warehousing, performance tuning, optimization)
- Strong expertise in Python for data processing and pipeline development
- Good understanding of SQL and data modeling concepts (star schema, dimensional modeling)
- Experience with data pipeline orchestration tools (Airflow or similar)
- Familiarity with data quality and testing frameworks
- Strong problem-solving and analytical skills
Preferred Qualifications
- Experience working in cloud environments (AWS, Azure, or GCP)
- Familiarity with CI/CD practices for data pipelines
- Exposure to real-time or streaming data pipelines is a plus
- Experience in enterprise-scale data platforms
Key Deliverables
- Robust and scalable data pipelines
- Optimized Snowflake data models and queries
- DBT-based transformation frameworks
- High-quality, reliable datasets for analytics and reporting