Role: Senior Data Engineer

Навыки

• Airflow
• API (интеграции)
• AWS
• Dagster / Prefect / Luigi
• dbt
• Распределённые системы
• Ответственность за результат

Задачи

• Building and developing streaming data pipelines
• Creating ingestion pipelines from APIs, webhooks, and SDKs
• Gradually moving ingestion from SaaS tools to our own infrastructure
• Working with our AWS streaming stack: Kinesis, SQS, Lambda, API Gateway
• Developing infrastructure as code with Terraform
• Ensuring reliable data delivery into Snowflake
• Monitoring production pipelines and troubleshooting incidents
• Contributing to data infrastructure for AI agents and internal AI tools
• Company: Simple Life
• Format: Full-time, hybrid or remote
• Simple is an AI-powered health coaching app with 17M+ downloads and 300K+ 5-star reviews
• We’re currently looking for a Senior Data Engineer to join our Tech team

Требования

• 5+ years of commercial experience with Python in backend or data engineering
• Strong understanding of distributed systems
• Hands-on experience with AWS or another cloud platform
• Experience building streaming pipelines
• Experience with Terraform or other IaC tools
• Strong SQL skills
• Experience working with real-world production data, including late, duplicated, or incorrect events
• Ability to make architectural decisions independently and take ownership of production systems

Будет плюсом

• experience with Snowflake, dbt, Airflow / Dagster / Prefect, and sensitive or regulated data

Условия

• hybrid or remote setup, flexible working hours, competitive compensation + stock options
• Interested? Please use the link to apply

Паспорт вакансии

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