Data Engineer (Global)

Role Overview

We are looking for a Data Engineer to help build, grow, and maintain our data models, and backend data infrastructure.

What You Will Do

You will be responsible for building and maintaining our Clickhouse Data Model and Aggregations to serve our Application and Internal analytics.

Why It Might Be a Fit

You’re comfortable working with a team of other engineers who work both in Data, and on the wider product, and can disagree and commit.

Requirements

• 4+ years as a Data Engineer, or a highly technical Data Analytics Engineer
• Superb SQL skills
• Building and maintaining Data Models to power analytics, both in app and internally, as well as for ML feature stores
• Managing complex Database Migrations
• Clickhouse or a similar OLAP database
• Real Time Streaming and Event Driven Architectures based on Kafka – Kafka Connect, Schema Registry, Avro
• Kafka Streaming Tools and Applications such as Goka
• Coding in one or multiple languages such as Go, Python or Ruby
• Production deployments of RESTful APIs
• Kubernetes – Deployments, StatefulSets, Helm, Troubleshooting etc.
• AWS – S3, EKS, VPCs, IAM, EFS and more
• Managing and Deploying Infrastructure via IAC such as Terraform
• CI/CD – Both in Application Deployment, and in coordinating related schema changes across various systems

Benefits

• Competitive salary
• Stock options
• Health, dental, and vision insurance
• 401(k) employer match
• Unlimited PTO (mandatory 10 days per year minimum)
• Annual in-person team offsite
• Unlimited book budget
• Monthly Wellness Days (every third Friday of the month)