Senior Platform Engineer Python

Remote • Posted 2 hours ago • Updated 6 minutes ago
Full Time
Part Time
Remote
USD $60-60/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Python
  • AWS
  • Snowflake

Summary

Senior Platform Engineer - Python | Prefect | AWS | Snowflake

Location: Remote

Duration: Long-Term Contract

Employment Type: Contract

Job Summary

We are seeking a Senior Platform Engineer with strong hands-on experience in Python, Prefect, AWS, and Snowflake to build and enhance a scalable workflow orchestration platform supporting enterprise marketing operations.

This is a software engineering role focused on designing, developing, deploying, and supporting production-grade workflow orchestration solutions. You will collaborate with Data Engineers, Cloud Engineers, and Frontend Developers to build reliable, observable, and secure workflow platforms not just provide architecture guidance.



Required Skills

  • 7+ years of software engineering experience
  • Strong Python development experience
  • Hands-on experience with Prefect (or Airflow, Dagster, Luigi, etc.)
  • AWS cloud services
  • Snowflake and advanced SQL
  • REST API integrations
  • CI/CD pipeline implementation
  • Git version control
  • Infrastructure as Code (Terraform preferred)
  • Production monitoring, logging, and alerting
  • Workflow orchestration and scheduling
  • Troubleshooting production applications and data pipelines



Key Responsibilities

  • Design and develop workflow orchestration solutions using Python and Prefect.
  • Build reliable, scalable, and production-ready workflow platforms.
  • Integrate Snowflake, REST APIs, middleware, and enterprise applications.
  • Develop deployment pipelines across Dev, Test, and Production environments.
  • Implement monitoring, logging, alerting, and operational dashboards.
  • Design retry, recovery, and rerun mechanisms for workflow failures.
  • Implement secure authentication, secrets management, and environment separation.
  • Collaborate with cross-functional engineering teams to deliver end-to-end solutions.
  • Create operational documentation, deployment guides, and runbooks.
  • Support production deployments and troubleshoot platform issues.
  • Follow engineering best practices, testing, code reviews, and version control.



Preferred Skills

  • dbt
  • Snowpark
  • Docker
  • Kubernetes
  • Event-driven architectures
  • Marketing technology platforms
  • Customer Data Platforms (CDP)
  • Campaign Management platforms

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10134311
  • Position Id: UTI- 7584-6615-1785418260
  • Posted 2 hours ago
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