Skip to main content

ThinkAhead

Data Engineer

United States (Remote)$150k–$180kfull timemidAdded today

About this role

Build and operate data pipelines and products on a modern cloud platform, primarily using Snowflake and dbt to ingest, transform, and curate data from enterprise systems. You'll enable analytics, applications, and AI workflows while maintaining data quality, governance, and operational reliability.

What you'll do

  • Design and develop data ingestion pipelines from enterprise applications (Salesforce, NetSuite, etc.) into Snowflake
  • Build transformations and data models using dbt to create curated data products
  • Establish consistent engineering patterns, documentation, and access controls for data governance
  • Collaborate with data consumers and engineering teams to understand requirements and deliver platform capabilities
  • Operate and maintain data platform infrastructure with dependable practices
  • Leverage AI tools for code generation, testing, documentation, and troubleshooting throughout development

What they're looking for

  • Snowflake data warehouse design and optimization
  • dbt for data transformation and modeling
  • Data pipeline development and orchestration
  • SQL and data modeling
  • Cloud platforms (AWS, Azure, or GCP)
  • Python or other programming languages
  • Data governance and access control implementation
  • API integration and data integration patterns
Apply with Autofill

Opens the application — the Jobs AI extension fills it for you. Set up autofill

Opens the official application on the employer’s site. No login required.

ThinkAhead

ThinkAhead helps enterprises modernize through cloud infrastructure, security, and digital transformation solutions. The company is hiring solutions engineers, product engineers, full stack developers, and support engineers to build and implement cloud platforms and managed services.

View all jobs at ThinkAhead

Likely interview questions

  • Describe your experience designing and maintaining data pipelines at scale, particularly with Snowflake.
  • How have you used dbt to build reproducible data transformations, and what best practices do you follow?
Unlock all 7 questions free — and practice them live →