Raya
Los Angeles
51-200 employees
Raya is a private, membership based community for people all over the world to connect and collaborate.
Senior Data Engineer
Senior Data Engineer
In a world where many social apps measure their success by time spent online, Raya is a technology company focused on providing utility. Our iOS only app is a tool for discovery of and access to exciting people, events, opportunities, and recommendations globally. We believe that by marrying great software with a membership based community built around core values of trust, creativity, and reciprocity, we can provide solutions that have heretofore been impossible.
We prioritize learning and teamwork and love giving people the opportunity to champion big challenges and grow into better versions of themselves. A great candidate is excited to support our growing use of data, including working closely with the machine learning and analytics 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, 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 core data infrastructure, and is looking for an opportunity to take a leadership role.
We offer comprehensive medical and dental coverage, $50 a day food delivery budget, equity based employment, a great culture, learning opportunities, unlimited vacation, 12 weeks paid parental leave, and we pay all employees $1,000 a year to go somewhere in the world that they’ve never been because of our values of human connection, empathy, and curiosity. You can see more at the bottom of our careers page: https://careers.rayatheapp.com/
In this role, you will:
- Design and build our data architecture, and play a central role in our data strategy.
- Evaluate, select, and integrate best-in-class tools and frameworks, guiding the company on "build vs. buy" decisions to optimize data processes and infrastructure.
- Work closely with other engineering teams to ensure high-quality data, including standardizing event data and incorporate governance standards across the whole data stack
- Collaborate with the Machine Learning team to architect and develop efficient data pipelines for real-time and batch features.
- Partner with the Analytics/BI team to incorporate new data sources and fulfill analytical data needs across the organization.
Qualifications
- 5+ years of experience in data engineering with a proven track record of successful data architecture and pipeline creation.
- Expertise in handling large-scale data systems and cloud platforms (preferably AWS).
- Proficient in Python and SQL. Scala and MongoDB are a plus
- Strong experience with data pipeline and workflow management tools like Apache Airflow, Luigi, or Prefect.
- In-depth knowledge of real-time data processing frameworks such as Kinesis, Kafka, Flink, or Spark Streaming. Experience with Segment is a plus.
- Experience with data modeling tools and ETL frameworks, with a strong emphasis on performance optimization.
- Excellent communication and collaboration skills to work effectively across teams.