Senior Data Engineer

ClickUp is revolutionizing the way the world works. As the only all-in-one productivity platform built from day one for true convergence, ClickUp unifies tasks, docs, chat, calendar, enterprise search, and more—supercharged by context-driven AI. While others scramble to bundle fragmented tools or bolt on AI, we anticipated this future and made it our foundation from the start. Headquartered in San Diego with a rapidly expanding global footprint, we empower over three million teams to break free from silos and reclaim their time—saving at least one day every week. Join ClickUp, one of the fastest-growing SaaS companies on the planet, and help millions of users transform the way they work. We’re not just building software. We’re shaping the future of work. Come join us in building the future—together. 🦄  

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.   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.

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.

Nice to Have

• Experience in both startup and enterprise environments, with ability to adapt to fast-changing priorities while maintaining quality.
• Familiarity with orchestration frameworks (Airflow, Dagster, Prefect).
• Knowledge of streaming/event-driven architectures (Kinesis, Kafka).
• Prior experience mentoring or leading engineers.

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.

 

 

 

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Salary and Benefits

At ClickUp, we believe in transparency and fairness in compensation. The range displayed reflects the minimum and maximum target salaries for the position across all US locations. Please note that the actual compensation for this position may vary and is dependent on factors such as geographic location,  interview performance, years of experience, education level, and specific skills. We encourage candidates to discuss compensation expectations during the interview process to ensure alignment with their qualifications and our company’s compensation philosophy.

This position is eligible for the following benefits and perks:

• Equity
• 401k<