Senior Data Engineer - Qualified Pipeline
About The Position
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. Our expertise lies in delivering tailored solutions in Business Intelligence, Data Warehousing, and Project Management. We have a diverse, global team of consultants, all working remotely, embodying a collaborative, inclusive, and innovation-driven work culture. As part of our growth and upcoming initiatives, we are proactively searching for Senior Data Engineers to support future projects and platform modernization efforts across our client portfolio. The Senior Data Engineer will play a key role in supporting the transition and modernization of the client’s data platform. The position will focus on pipeline migration, operational stabilization, and the implementation of a dbt-based transformation framework within a Snowflake environment. This role will work closely with the Lead Data Architect and the client’s engineering team, participating in knowledge transfer sessions.
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)
Nice To Haves
- Experience implementing dbt
- Experience with data platform migrations
- Experience with data pipeline performance optimization
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
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What This Job Offers
Career Level
Mid Level
Education Level
No Education Listed
