Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
ClickUp

Senior Data Engineer

ClickUp

. Design, build, and maintain cloud-native data infrastructure using Terraform for IaC.

Posted 3/6/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $139,000 - $181,500 per yearWebsite

Tech Stack

Tools & technologies
AWSCloudDockerDynamoDBPythonSQLTerraform

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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

Comp & perks
  • 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

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
TerraformAWS LambdaAWS FargateAWS Step FunctionsAWS S3AWS KinesisAWS DynamoDBAWS AuroraSnowflakeSQL
Soft Skills
mentoringcross-functional collaborationadaptabilityproblem-solvingcommunication