Senior Data Engineer

Role Overview

• Architect and develop scalable data pipelines and models using Snowflake and dbt
• Design and operate orchestration using Airflow, Dagster, Prefect, or similar
• Define modeling standards, storage patterns, and performance strategies
• Collaborate on backend APIs, services, integration layers, and limited frontend interfaces supporting data-driven features
• Contribute to CI/CD, environment management, and automated pipeline delivery
• Implement quality checks, lineage, SLAs, and observability
• Mentor engineers and drive architectural best practices
• Participate in system design and multi-team architectural planning

Requirements

• 5+ years of experience in data engineering, data architecture, or platform engineering
• Strong experience with dbt (modeling, testing, deployment, environment strategies)
• Hands-on experience with orchestration frameworks (Airflow, Dagster, Prefect, or similar)
• Deep expertise with data warehousing platforms; e.g. Snowflake, Redshift, etc including performance tuning and RBAC
• Strong software engineering fundamentals in Python or Golang; advanced SQL
• Deep understanding of distributed systems, event-driven design, microservices, and data platform architecture
• Experience with metadata management, lineage tools, and observability technologies (Datadog, Prometheus, OpenTelemetry)
• Strong communication skills for leading architectural discussions across technical and non-technical teams

Tech Stack

• Airflow
• Amazon Redshift
• Distributed Systems
• Microservices
• Prometheus
• Python
• SQL
• Go

Benefits

• health, wellbeing, retirement, and other financial benefits
• paid time off
• overtime pay for non-exempt employees
• robust learning and development programs
• reimbursement of job-related expenses per the company policy
• employee perks and discounts