Senior Data Engineer, ClickUp

• 5+ years of professional experience in data engineering or software engineering, with emphasis on scalable data systems
• Deep experience with AWS cloud services (especially Lambda, Fargate, Step Functions, S3, DynamoDB, Aurora)
• Hands-on expertise in Terraform and/or AWS CDK for managing infrastructure as code
• Strong knowledge of SQL and experience with Snowflake or another cloud data warehouse
• Proficiency with dbt and modern ELT patterns
• Solid coding skills in Python (or another general-purpose language)
• Experience building pipelines to support AI/ML workflows (feature engineering, training data pipelines, model monitoring)
• Understanding of CI/CD workflows, Git-based development, and containerization (Docker)
• Knowledge of data quality, governance, and observability best practices
• Unsure if you meet all the qualifications of this job description but are deeply excited about the role? We hire based on ambition, grit, and a passion for improving the way people work. If you think ClickUp is the company for you, we encourage you to apply!

Desirable

• We’re looking for a Senior Data Engineer to help shape and scale our modern data platform
• This role combines hands-on technical ownership with strategic influence across our data ecosystem
• You’ll work with AWS serverless technologies, Snowflake, dbt, and Terraform to design reliable, scalable, and cost-effective data pipelines that empower analytics and AI-driven applications
• You’ll play a key role in building the foundation that allows us to make smarter, faster, and data-driven decisions while also enabling AI-powered products and insights
• Design, build, and maintain cloud-native data infrastructure using Terraform for IaC
• Develop and optimize data pipelines leveraging AWS services (Lambda, Fargate, Step Functions, S3, Kinesis, DynamoDB, Aurora, etc.) and Snowflake
• Implement ELT workflows within dbt in partnership with our Analytics Engineering function
• Build and maintain LLM frameworks, ensuring high-quality and cost effective outputs
• Automate infrastructure and pipeline deployments with CI/CD best practices
• Monitor, debug, and improve system performance with strong observability and logging practices
• Partner with cross-functional teams (analytics, data science, product, engineering) to deliver high-quality data solutions
• Mentor teammates and contribute to engineering standards, raising the technical bar across the team