Senior Data Engineer

Role (Title): Senior Data Engineer

Work Location: 100% Remote

About the Role

We are seeking an experienced Data Engineer with strong expertise in Snowflake, dbt, and ETL development. The ideal candidate will have hands-on experience with HVR/ FIvetran and SnapLogic to design, build, and optimize scalable data pipelines. This role requires a blend of technical proficiency, problem-solving skills, and the ability to collaborate across teams to deliver high-quality data solutions.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using HVR/ FIvetran and SnapLogic.
• Implement and optimize data models in Snowflake leveraging dbt for transformation workflows.
• Ensure data quality, consistency, and reliability across multiple sources and systems.
• Implement best practices for data governance, security, and compliance.
• Document processes, workflows, and technical specifications.

Required Skills & Qualifications

• 10+ years of experience in Data Engineering or related field.
• Strong expertise in Snowflake (data warehousing, performance tuning, query optimization).
• Hands-on experience with dbt for data transformations.
• Proven track record in ETL development using HVR/ FIvetran and SnapLogic.
• Proficiency in SQL and scripting languages (Python preferred).
• Experience with cloud platforms (AWS, Azure, or GCP).
• Solid understanding of data integration, replication, and pipeline orchestration.
• Strong problem-solving and communication skills.