Senior Data Engineer

<div class="content-intro"><div class="ql-block" data-block-id="block-ac776bb3-c45a-49bd-9ccd-6eee2eb78c97">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. 🦄</div> <div class="ql-block" data-block-id="block-ac776bb3-c45a-49bd-9ccd-6eee2eb78c97"> </div></div><h3 data-block-id="block-6ef6aa72-e4c9-447c-89fc-ea8ae41400bc" data-collapse-state="expanded">About the Role</h3> <div data-block-id="block-99293574-d911-4325-9ea0-e894b8db50a2">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.</div> <div data-block-id="block-ea639d78-6619-4f6a-8a48-e3203f38cb08"> </div> <div data-block-id="block-ea639d78-6619-4f6a-8a48-e3203f38cb08">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.</div> <h3 data-block-id="block-f076399d-f71a-4361-b4f5-9c6e8261a305" data-collapse-state="expanded">What You’ll Do</h3> <ul> <li>Design, build, and maintain cloud-native data infrastructure using Terraform for IaC.</li> <li>Develop and optimize data pipelines leveraging AWS services (Lambda, Fargate, Step Functions, S3, Kinesis, DynamoDB, Aurora, etc.) and Snowflake.</li> <li>Implement ELT workflows within dbt in partnership with our Analytics Engineering function</li> <li>Build and maintain LLM frameworks, ensuring high-quality and cost effective outputs.</li> <li>Automate infrastructure and pipeline deployments with CI/CD best practices.</li> <li>Monitor, debug, and improve system performance with strong observability and logging practices.</li> <li>Partner with cross-functional teams (analytics, data science, product, engineering) to deliver high-quality data solutions.</li> <li>Mentor teammates and contribute to engineering standards, raising the technical bar across the team.</li> </ul> <h3 data-block-id="block-caf93abe-0e52-48a9-b47c-34898003c59e" data-collapse-state="expanded">What We’re Looking For</h3> <ul> <li>5+ years of professional experience in data engineering or software engineering, with emphasis on scalable data systems.</li> <li>Deep experience with AWS cloud services (especially Lambda, Fargate, Step Functions, S3, DynamoDB, Aurora).</li> <li>Hands-on expertise in Terraform and/or AWS CDK for managing infrastructure as code.</li> <li>Strong knowledge of SQL and experience with Snowflake or another cloud data warehouse.</li> <li>Proficiency with dbt and modern ELT patterns.</li> <li>Solid coding skills in Python ( ... (truncated, view full listing at source)