ClickUp
Staff Data Engineer
Remote work allowed only within certain countries or regions.
Employer listed it 3 months ago · Added yesterday
Been open since 3 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
$169,000–$211,000
Location
Timezone
US East
Contract
Full-time
Experience
Lead
Category
Data
Published by the employer
Remote flexibility
Region Restricted
Remote work is allowed, but only for candidates based in United States, Canada.
What the employer says
- Source listing states candidate location: "United States, Canada, Remote"
What Nomaders makes of it
- Applications outside the listed area are usually rejected
- Timezone overlap with the listed area is often expected
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
We're looking for a Staff Data Engineer to own the architecture and technical vision of our data platform. This is a high-leverage, high-autonomy role where you'll set the technical bar for the team, drive cross-functional alignment on data infrastructure strategy, and solve our hardest engineering problems. You'll operate across AWS serverless technologies, Snowflake, dbt, and Terraform, but your impact goes well beyond any single tool: you'll shape how we think about reliability, scalability, cost, and developer experience at the platform level.
This role is for someone who doesn't just build great systems, but makes the engineers around them better.
The Role:
Own the technical architecture of ClickUp's data platform, making design decisions that balance scalability, cost, reliability, and velocity.
Define and drive the technical roadmap for data infrastructure in partnership with leadership.
Design systems at scale : build frameworks, abstractions, and patterns that other engineers use daily.
Lead complex, cross-team technical initiatives spanning data engineering, analytics engineering, data science, and data analytics.
Drive cost optimization across cloud infrastructure and compute, turning efficiency into a competitive advantage.
Build and evolve our data pipelines using AWS serverless (Lambda, Fargate, Step Functions, Kinesis, S3, DynamoDB, Aurora), Snowflake, and dbt.
Establish and champion engineering standards : observability, testing, CI/CD, code review, and documentation practices.
Design and maintain infrastructure for AI/ML workloads , including LLM frameworks, feature pipelines, training data systems, and model monitoring.
Mentor senior engineers , provide technical guidance through design reviews, and raise the overall engineering quality of the team.
Influence org-wide technical decisions and represent data engineering in company-level architecture discussions.
Qualifications:
Significant professional experience in data engineering or backend/infrastructure engineering, with at least 3 years operating at a senior or staff level.
Proven track record of owning architecture for data platforms or large-scale distributed systems.
Deep expertise in AWS cloud services (Lambda, Fargate, Step Functions, S3, Kinesis, DynamoDB, Aurora) and infrastructure as code (Terraform and/or CDK).
Expert-level SQL and Snowflake (or equivalent cloud data warehouse) knowledge, including performance tuning and cost optimization.
Strong experience with dbt and modern ELT/ETL patterns at scale.
Advanced Python skills with emphasis on building reusable libraries, frameworks, and tooling.
Hands-on experience with orchestration frameworks (Airflow, Dagster, or Prefect) in production environments.
Experience building data infrastructure for AI/ML : feature stores, training pipelines, embedding pipelines, model serving, or LLM integration.
Deep understanding of streaming and event-driven architectures (Kinesis, Kafka, or equivalent).
Requirements
- ·Significant professional experience in data engineering or backend/infrastructure engineering, with at least 3 years operating at a senior or staff level.
- ·Proven track record of owning architecture for data platforms or large-scale distributed systems.
- ·Deep expertise in AWS cloud services (Lambda, Fargate, Step Functions, S3, Kinesis, DynamoDB, Aurora) and infrastructure as code (Terraform and/or CDK).
- ·Expert-level SQL and Snowflake (or equivalent cloud data warehouse) knowledge, including performance tuning and cost optimization.
- ·Strong experience with dbt and modern ELT/ETL patterns at scale.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, region restricted, matches where you plan to live and work.
- 2Tailor your CV to the role at ClickUp, mentioning your remote working experience and working hours (US East).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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