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Clickup

Staff Data Engineer

Who can apply: US-based role. The employer has not said which states are eligible — confirm before applying.
Location as listed by the employer: “United States; Canada; Canada”
Apply on Clickup's site ↗

Opens the employer's official application page.

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About this role

Clickup is hiring for a Staff Data Engineer role (full-time). See the official posting for full details.

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.
  • 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.

Summarized from the employer's posting — check the full posting for every requirement.