Staff Data Engineer
ClickUp · Remote · United States · Canada ·
COMPENSATION
$169k – $211k
Listed on the employer's job board (Ashby)
- Staff level role
- Fully remote
- AWS + Snowflake + dbt
- AI/ML infrastructure focus
- Visa sponsorship possible
As a Staff Data Engineer at ClickUp, you will define the technical vision and architecture for the company's data infrastructure. You will balance scalability, cost, and reliability while building frameworks that other engineers use daily.
This high-autonomy role requires driving cross-functional alignment and solving complex engineering problems. You will work across serverless AWS technologies and modern data tools to support AI/ML workloads and enterprise search capabilities.
What you'll do
- Own technical architecture balancing scalability, cost, and reliability
- Define data infrastructure roadmap with leadership partners
- Build reusable frameworks and abstractions for engineering teams
- Lead cross-team initiatives spanning data science and analytics
- Optimize cloud infrastructure costs and compute efficiency
- Develop data pipelines using AWS serverless, Snowflake, and dbt
- Establish engineering standards for observability, testing, and CI/CD
- Design infrastructure for AI/ML workloads and LLM frameworks
- Mentor senior engineers and conduct technical design reviews
What you'll need
- At least 3 years of experience at senior or staff level
- Proven track record owning data platform or distributed system architecture
- Deep expertise in AWS services like Lambda, Fargate, and Kinesis
- Expert-level SQL and Snowflake knowledge including performance tuning
- Strong experience with dbt and modern ELT/ETL patterns at scale
- Advanced Python skills for building reusable libraries and tooling
- Hands-on experience with orchestration frameworks like Airflow or Dagster
- Experience building data infrastructure for AI/ML and LLM integration
- Deep understanding of streaming and event-driven architectures
- Mastery of CI/CD, Git workflows, Docker, and deployment automation
- Strong communication skills for writing RFCs and influencing stakeholders
Nice to have
- Experience operating petabyte-level warehouses or high-scale events
- Familiarity with data mesh or data product paradigms
- Experience with FinOps and cloud cost management at scale
- Prior technical leadership role without direct reports
- Contributions to open-source data tools or technical communities
Stack
- AWS
- Snowflake
- dbt
- Terraform
- Python
- SQL
- Lambda
- Fargate
- Step Functions
- Kinesis
- S3
- DynamoDB
- Aurora
- Airflow
- Dagster
- Prefect
- Docker
How you'll work
- Fully remote position
- AI fluency evaluated during hiring process
- Daily use of AI tools expected
What you get
- Equal Opportunity Employer
- Visa sponsorship considered based on business needs