Data Engineer
Horizontal Talent

Job Description:

Key Responsibilities:

• Design, implement, and maintain data pipelines using Snowflake, dbt, and Apache Airflow
• Develop and optimize ETL/ELT processes for data ingestion, transformation, and loading
• Collaborate with data modelers to implement and maintain data models in Snowflake
• Write and maintain dbt models for data transformation and business logic implementation
• Work with management and infrastructure teams as an influencer for in decision of using open source or cloud managed services for dbt and Airflow
• Ensure data quality, consistency, and integrity throughout the data lifecycle
• Implement data security and access control measures in Snowflake
• Optimize query performance and resource utilization in Snowflake
• Collaborate with other teams to integrate data systems and support analytics needs
• Implement data governance policies and best practices
• Troubleshoot and resolve data pipeline issues

Required Qualifications:

• Bachelor's degree in computer science, Information Systems, or related field
• 5+ years of experience in data engineering, with a strong focus on data warehouse and data mart architectures.
• Strong proficiency in SQL and Python
• Hands on experience with Snowflake, dbt, and Apache Airflow
• Experience with cloud based data warehousing and ETL/ELT processes
• Knowledge of data modeling concepts and best practices
• Understanding of data privacy and security principles

Preferred Qualifications:

• Experience in the financial or mortgage industry

Key Skills:

• Strong analytical and problem solving abilities
• Excellent coding practices and documentation skills
• Ability to work in a fast paced, collaborative environment
• Effective communication skills to interact with both technical and nontechnical stakeholders
• Proactive approach to identifying and resolving data issues

This job has expired.