As a Senior Data Engineer on our Data and Reporting team, you'll be responsible for designing, building, and maintaining high-performance, scalable data systems and data infrastructure. You will collaborate closely with cross-functional teams, including product management, engineering leadership, to enhance existing platforms and develop innovative solutions for complex data-driven applications. On a daily basis you will: Architect, develop, and maintain scalable software solutions for our reporting and analytics platforms. Design and implement data pipelines, ETL processes, and integrations using ClickHouse, Streamkap, PostgreSQL, Snowflake, MongoDB, Kafka, and AWS. Write and Optimize SQL queries that drive merchant reporting outcomes and improve database performance across large-scale, distributed systems. Contribute to defining and refining system architectures, including cloud infrastructure and containerization strategies. Implement robust data observability monitoring, logging, and alerting solutions using tools like Grafana, Metaplane, and OpenTelemetry. Mentor junior and mid-level engineers, promoting technical excellence and best practices. What skill are we looking for? 5+ years of professional software and data engineering experience. Proficient in Python; experience with GO and TypeScript or JavaScript is highly beneficial. Extensive experience with databases and data warehouses such as ClickHouse, PostgreSQL, and MongoDB. Strong understanding of real-time data streaming and messaging systems, especially Kafka. Experience designing and implementing robust ETL pipelines and handling large-scale data migrations. Familiarity with cloud services, especially AWS, including IAM roles, S3, RDS, and MSK. Proven ability in performance tuning and optimization for high-volume, low-latency data systems. Experience applying core data observability principals to create a transparent and resilient data platform. Comfortable with containerization technologies such as Docker and orchestration tools like Kubernetes. Strong experience with infrastructure as code (IaC) tools and best practices. Deep understanding of software development best practices, CI/CD pipelines, and DevOps methodologies. Perfect candidate also has: Experience in building frontend components or familiarity with React and Next.js. Knowledge of monitoring and observability tools, including Grafana and OpenTelemetry. Background or interest in data analytics, machine learning applications, and causal analysis. Experience in the restaurant or hospitality technology sector.