ClickUp

3 weeks ago

Staff Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 minutes agoStatus: Live

Job Summary

Own the architecture and technical vision of ClickUp’s data platform. Set the technical roadmap, design scalable systems and engineering standards, and lead cross-team initiatives across data engineering, analytics engineering, data science, and data analytics. Build and evolve streaming and batch pipelines using AWS serverless, Snowflake, dbt, and Terraform, and establish infrastructure for AI/ML workloads. Mentor senior engineers and drive cost optimization, reliability, and developer experience at the platform level.

Location: United States, Canada

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Own the technical architecture and set design decisions for ClickUp’s data platform.
•Define and drive the data infrastructure technical roadmap with leadership.
•Build and evolve data pipelines using AWS serverless technologies, Snowflake, and dbt.
•Establish engineering standards for observability, testing, CI/CD, code review, and documentation.
•Design and maintain infrastructure for AI/ML workloads and mentor senior engineers through design reviews.

Pay and Benefits

Salary: USD 139,000 - 181,500 annually

Key Requirements

•At least 3 years operating at a senior or staff level in data engineering or backend/infrastructure engineering.
•Own architecture for data platforms or large-scale distributed systems.
•Deep expertise in AWS 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) with performance tuning and cost optimization.
•Strong experience with dbt and modern ELT/ETL patterns at scale, plus advanced Python skills.

Skills:CommunicationMentoringCross-team collaborationInfluencing without authorityTechnical leadership

Tech Stack:AWSLambdaFargateStep FunctionsKinesisS3DynamoDBAuroraTerraformCDKSnowflakeDbtPythonAirflowDagsterPrefectKafkaLLM frameworksDockerGit

Company Brief

ClickUp

ClickUp provides an all-in-one productivity platform that combines tasks, docs, chat, goals, and automation to replace multiple workplace apps and increase team productivity for companies of all sizes.

Industry: Enterprise Software

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Diego, United States

Founded: 2017

Glassdoor: 4.1

Website LinkedIn Glassdoor

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ClickUp

3 weeks ago

Staff Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 minutes agoStatus: Live

Job Summary

Location: United States, Canada

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Own the technical architecture and set design decisions for ClickUp’s data platform.
•Define and drive the data infrastructure technical roadmap with leadership.
•Build and evolve data pipelines using AWS serverless technologies, Snowflake, and dbt.
•Establish engineering standards for observability, testing, CI/CD, code review, and documentation.
•Design and maintain infrastructure for AI/ML workloads and mentor senior engineers through design reviews.

Pay and Benefits

Salary: USD 139,000 - 181,500 annually

Key Requirements

•At least 3 years operating at a senior or staff level in data engineering or backend/infrastructure engineering.
•Own architecture for data platforms or large-scale distributed systems.
•Deep expertise in AWS 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) with performance tuning and cost optimization.
•Strong experience with dbt and modern ELT/ETL patterns at scale, plus advanced Python skills.

Skills:CommunicationMentoringCross-team collaborationInfluencing without authorityTechnical leadership

Tech Stack:AWSLambdaFargateStep FunctionsKinesisS3DynamoDBAuroraTerraformCDKSnowflakeDbtPythonAirflowDagsterPrefectKafkaLLM frameworksDockerGit

Company Brief

ClickUp

Industry: Enterprise Software

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Diego, United States

Founded: 2017

Glassdoor: 4.1

Website LinkedIn Glassdoor