Senior Data Engineer

Role overview

Join ClickUp as a Senior Data Engineer to help shape and scale the company’s modern data platform. This role blends hands-on technical ownership with strategic influence across the data ecosystem, enabling analytics and AI-powered products.

Key missions

• Design, build, and maintain cloud-native data infrastructure using Terraform (IaC)
• Develop and optimize data pipelines using AWS services and Snowflake
• Implement ELT workflows with dbt
• Mentor teammates and help define engineering standards to raise the technical bar

Requirements

• 5+ years experience in data engineering or software engineering with emphasis on scalable data systems
• Experience building pipelines supporting AI/ML workflows (e.g., feature engineering, training data pipelines, model monitoring)
• Strong coding skills in Python (or another general-purpose language)
• Strong SQL skills and experience with Snowflake (or another cloud data warehouse)
• Hands-on expertise with Terraform and/or AWS CDK for Infrastructure as Code
• Deep knowledge of AWS services, especially: Lambda, Fargate, Step Functions, S3, DynamoDB, Aurora
• Knowledge of data quality, governance, and observability best practices
• Proficiency with dbt and modern ELT patterns
• Understanding of CI/CD with Git-based development and containerization (Docker)
• Prior experience mentoring or leading engineers
• Ability to operate in both startup and enterprise environments

Nice to have

• Experience with streaming/event-driven architectures (e.g., Kinesis, Kafka)
• Familiarity with orchestration frameworks (e.g., Airflow, Dagster, Prefect)

Remote

• Full remote