ClickUp

The world's most productive AI Workspace for projects, tasks, chat, docs, and more. All software and humans - converged.

Senior Data Engineer

Data EngineerData EngineerFull TimeRemoteTeam 1,001-5,000Since 2017Company SiteLinkedIn

Location

United States

Posted

7 days ago

Salary

$139K - $181.5K / year

Bachelor Degree5 yrs expEnglishAWSCloudDockerDynamo DBPythonSQLTerraform

Job Description

• Design, build, and maintain cloud-native data infrastructure using Terraform for IaC. • Develop and optimize data pipelines leveraging AWS services (Lambda, Fargate, Step Functions, S3, Kinesis, DynamoDB, Aurora, etc.) and Snowflake. • Implement ELT workflows within dbt in partnership with our Analytics Engineering function. • Build and maintain LLM frameworks, ensuring high-quality and cost-effective outputs. • Automate infrastructure and pipeline deployments with CI/CD best practices. • Monitor, debug, and improve system performance with strong observability and logging practices. • Partner with cross-functional teams (analytics, data science, product, engineering) to deliver high-quality data solutions. • Mentor teammates and contribute to engineering standards, raising the technical bar across the team.

Job Requirements

  • 5+ years of professional experience in data engineering or software engineering, with emphasis on scalable data systems.
  • Deep experience with AWS cloud services (especially Lambda, Fargate, Step Functions, S3, DynamoDB, Aurora).
  • Hands-on expertise in Terraform and/or AWS CDK for managing infrastructure as code.
  • Strong knowledge of SQL and experience with Snowflake or another cloud data warehouse.
  • Proficiency with dbt and modern ELT patterns.
  • Solid coding skills in Python (or another general-purpose language).
  • Experience building pipelines to support AI/ML workflows (feature engineering, training data pipelines, model monitoring).
  • Understanding of CI/CD workflows, Git-based development, and containerization (Docker).
  • Knowledge of data quality, governance, and observability best practices.
  • Experience in both startup and enterprise environments, with ability to adapt to fast-changing priorities while maintaining quality.

Benefits

  • Equity
  • 401k
  • Health, Dental, and Vision insurance
  • Spending accounts
  • Life & Disability
  • Paid parental leave
  • Flexible paid time off
  • Enhanced employee assistance program
  • Employee wellness stipend
  • Professional development stipend

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