As a Senior Data Engineer for Data Products, you will architect data pipelines, design scalable data models, ensure data quality, and mentor other engineers while collaborating with analytics and product teams.
A great candidate is excited to support our growing use of data, including working closely with the analytics and product engineering teams, to build a better user experience. Finally, they believe in Raya’s vision, which is to enrich lives by fostering relationships through quality, in person interactions.
As Raya’s first Data Engineer for Data Products, you will be a founding member of the data engineering team and will play a pivotal role in empowering the company to be data-driven. The ideal candidate is experienced and confident building out performant, impactful data models, and trhives in a collaborative environment where they can influence product and business decisions through data.
In this role, you will
- Architect complex, high-volume data pipelines for production use.
- Design and implement scalable data models serving multiple product and internal teams.
- Own data quality frameworks and standards across key data products.
- Build reusable patterns for transformations and metrics to drive efficiency.
- Define and maintain core business metrics and Key Performance Indicators (KPIs) in partnership with Analytics.
- Own the data products used across the company, ensuring reliability and performance.
- Set and promote standards for data modeling and pipeline development.
- Partner closely with Analytics, Data Science, and Machine Learning teams on requirements to reduce friction and accelerate their work.
- Mentor engineers and actively participate in the hiring process.
Qualifications
- 5+ years of experience in data engineering with a proven track record of successful data product development and oversight.
- Expert SQL and strong Python programming skills.
- Deep expertise in dbt or similar transformation frameworks.
- Strong data modeling experience across dimensional, activity schema, and similar patterns.
- Hands-on experience with data quality frameworks and performance tuning of data processes.
- Experience implementing both batch and streaming data processing patterns.
- Strong product thinking and stakeholder management skills.
- Excellent communication and collaboration skills to work effectively across teams.
Top Skills
Apache Airflow
AWS
Flink
Kafka
Kinesis
Luigi
MongoDB
Prefect
Python
Scala
Segment
Spark Streaming
SQL
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