ClickUp is looking for a Senior Data Engineer to help shape and scale their modern data platform, enabling smarter, faster, data-driven decisions and AI-powered products and insights.
Requirements
- 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).
Responsibilities
- 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.
Other
- Mentor teammates and contribute to engineering standards, raising the technical bar across the team.
- Experience in both startup and enterprise environments, with ability to adapt to fast-changing priorities while maintaining quality.
- Prior experience mentoring or leading engineers.
- High visibility and impact — your work will directly power decision-making and revenue
- A culture that values autonomy, collaboration, and continuous learning.
