Senior Data Engineer @ ClickUp

About the Role

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.

What You’ll Do

• 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.

What We’re Looking For

• 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.

Why Join Us

• Work with a modern, cloud-native stack (AWS serverless, Snowflake, dbt, Terraform/CDK).
• Enable AI use cases by building the pipelines and infrastructure that power them.
• High visibility and impact — your work will directly power decision-making and revenue
• A culture that values autonomy, collaboration, and continuous learning.
• Competitive compensation, equity, and benefits.
• Opportunities for career growth and leadership as we scale our data function.