Senior Data Engineer - Qualified Pipeline

Data Meaning is a front-runner in Business Intelligence and Data Analytics consulting, renowned for our high-quality consulting services throughout the US and beyond. They are proactively searching for Senior Data Engineers to support future projects and platform modernization efforts across their client portfolio.

Responsibilities:

• Develop and maintain ELT pipelines using Snowflake, Python, and Apache Airflow
• Implement data ingestion and transformation logic for batch and incremental pipelines
• Convert existing SQL transformations into dbt models
• Implement dbt testing frameworks (schema, relationship, freshness tests)
• Participate in pipeline walkthroughs and knowledge transfer sessions with the existing team
• Document data pipelines and operational procedures
• Support the transition from vendor-managed pipelines to Data Meaning ownership
• Monitor production pipelines and data workflows
• Troubleshoot pipeline failures and operational issues
• Improve monitoring, alerting, and operational reliability
• Implement automated data validation and quality checks
• Support the development of a data quality framework

Requirements:

• Advanced/fluent english
• 8+ years of experience in Data Engineering
• Hands-on experience with Snowflake
• Experience working with Apache Airflow
• Strong SQL (advanced) skills
• Strong Python programming skills
• Experience building: ELT pipelines, Data warehouse transformations, Batch and incremental, pipelines, Data ingestion pipelines
• Experience working in cloud environments (AWS preferred)
• Experience implementing dbt
• Experience with data platform migrations
• Experience with data pipeline performance optimization