Data Engineer Supply Chain Planning

Saige Partners

Eden Prairie (MN)

On-site

USD 113,000 - 158,000

Full time

9 days ago

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Job summary

Saige Partners is seeking an experienced Data Platform Engineer II to help build and improve enterprise data and analytics platforms in Google Cloud Platform (GCP). You will drive the roadmap for data ingestion, orchestration, and platform tooling.

You'll collaborate with Data Engineering, Infrastructure, Security, Governance, and Analytics teams to establish SDLC standards, enhance reliability, and author technical documentation and onboarding materials.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, MIS, or related field.
  • 7 years of experience with enterprise data, analytics, cloud, DevOps, ingestion, orchestration, or related platforms.
  • Strong experience with CI/CD, automation, SDLC standards, and platform roadmaps.
  • Python, SQL, or scripting experience.
  • Experience building reusable tools, frameworks, and developer enablement solutions.
  • Strong communication, problem-solving, and cross-functional collaboration skills.
  • Ability to influence technical direction across teams.

Responsibilities

  • Drive the roadmap and continuous improvement of data ingestion, orchestration, and platform tools.
  • Build CI/CD, deployment automation, reusable frameworks, and self-service tools.
  • Support and enhance Python-based data ingestion frameworks.
  • Establish SDLC, source control, deployment, and engineering standards.
  • Improve platform reliability, monitoring, observability, and developer productivity.
  • Partner with Data Engineering, Architecture, Infrastructure, Security, Governance, and Analytics teams.
  • Evaluate new technologies and help shape enterprise data platform strategy.
  • Create technical documentation, onboarding materials, and operational standards.

Skills

Python
SQL
Scripting
Communication
Cross-functional collaboration
Problem-solving
Influence technical direction

Education

Bachelor's degree in Computer Science, Engineering, MIS, or related field

Tools

CI/CD tools
GCP services (BigQuery, Cloud Storage, Composer)
Kubernetes/GKE

Job description

Job Description

Data Platform Engineer II

Seeking an experienced Data Platform Engineer II to help build and improve enterprise data and analytics platforms in Google Cloud Platform (GCP).

Key Responsibilities
  • Drive the roadmap and continuous improvement of data ingestion, orchestration, and platform tools.
  • Build CI/CD, deployment automation, reusable frameworks, and self-service tools.
  • Support and enhance Python-based data ingestion frameworks.
  • Establish SDLC, source control, deployment, and engineering standards.
  • Improve platform reliability, monitoring, observability, and developer productivity.
  • Partner with Data Engineering, Architecture, Infrastructure, Security, Governance, and Analytics teams.
  • Evaluate new technologies and help shape enterprise data platform strategy.
  • Create technical documentation, onboarding materials, and operational standards.
Qualifications
  • Bachelor's degree in Computer Science, Engineering, MIS, or related field.
  • 7 years of experience with enterprise data, analytics, cloud, DevOps, ingestion, orchestration, or related platforms.
  • Strong experience with CI/CD, automation, SDLC standards, and platform roadmaps.
  • Python, SQL, or scripting experience.
  • Experience building reusable tools, frameworks, and developer enablement solutions.
  • Strong communication, problem-solving, and cross-functional collaboration skills.
  • Ability to influence technical direction across teams.
Preferred
  • GCP experience with BigQuery, Cloud Storage, Composer/Airflow, Pub/Sub, Dataflow, Dataproc, Kubernetes/GKE, Cloud Build, or similar services.
  • Experience with Azure DevOps, GitHub Actions, Jenkins, or similar CI/CD tools.
  • Experience with APIs, large-scale data ingestion, semantic layers, analytics, or AI platforms.
  • Experience supporting enterprise Data & Analytics organizations.

Salary: $113,000 - $158,000 Bonus

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