Senior Data Engineer

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 skills 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.

An ideal candidate will also have:

• 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.

Compensation:

• Our base pay range starts at $122,000 -$165,000 for this role
• Please note the salary range listed is just one component of a competitive compensation package which includes a company stock plan
• Offers will be reflective of the candidate’s location and experience.