Ryz Labs
Data Engineer
Remote Data Engineering role with clear candidate location fit.
PostedJul 9, 2026
Eligible countries24 accepted countries
Seniority signalSenior
Work settingRemote
Accepted candidate locations
Role overview
Data Engineer
Requirements and responsibilities
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Details
- Design, implement, and optimize data pipelines that extract, transform, and load data into Snowflake from multiple sources using Airflow and AWS services
- Build modular, well-documented dbt models with strong test coverage to serve business reporting, lifecycle marketing, and experimentation use cases
- Partner with analytics and business stakeholders to define source-to-target transformations and implement them in dbt
- Maintain and improve our orchestration layer (Airflow/Astronomer) to ensure reliability, visibility, and efficient dependency management
- Collaborate on data model design best practices, including dimensional modeling, naming conventions, and versioning strategies
- dbt: Hands-on experience developing dbt models at scale, including use of macros, snapshots, testing frameworks, and documentation. Familiarity with dbt Cloud or CLI workflows
- Snowflake: Strong SQL skills and understanding of Snowflake architecture, including query performance tuning, cost optimization, and use of semi-structured data
- Airflow: Solid experience managing Airflow DAGs, scheduling jobs, and implementing retry logic and failure handling; familiarity with Astronomer is a plus
- Data Modeling: Proficient in dimensional modeling and building reusable data marts that support analytics and operational use cases
- Experience with Oracle
- Familiarity with AWS services such as DMS, Kinesis, and Firehose for ingesting and transforming data
- Segment: Familiarity with event data and related flows, piping data in and out of Segment
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