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
Similar Jobs
.png)
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Software • Generative AI
The Solutions Architect will lead technical implementations, define deployment specs, and support integrations, ensuring successful customer deployments and collaborating across teams.
Top Skills:
APIsFhirHl7PythonSQL
.png)
Fintech • Insurance • Machine Learning • Other • Analytics • Financial Services • Automation
The Claims Adjuster will manage workers' compensation claims, ensuring compliance and delivering excellent customer service while mitigating claim exposure and advocating for a superior claims experience.
Top Skills:
G-Suite ToolsSlack
Artificial Intelligence • Productivity • Software • Automation
Lead the Personalization Platform team, focusing on building and maintaining Zapier's personalization infrastructure and enhancing user engagement through tailored experiences.
Top Skills:
AlgoliaGraphQLNext.JsNode.jsPythonTypescript
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
