Senior Azure Databricks Platform Engineer - Remote

IIIIIIUS

Virginia

Remoto

USD 99.000 - 203.000

Tempo pieno

4 giorni fa
Candidati tra i primi

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Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

ICF seeks a Senior Databricks Platform Engineer to design, build, secure, and operate governed Azure Databricks Lakehouse capabilities supporting a cloud-based analytics platform and enterprise AI operations. You will develop reliable batch and streaming pipelines, administer workspaces and access, and automate delivery through infrastructure as code and CI/CD.

Remote work is available for this federal contract, with collaboration across data engineers, cloud architects, security analysts, and

Competenze

  • More than 5 years of data engineering experience.
  • At least 3 years supporting Azure Databricks and related Azure data services.
  • Experience with CI/CD or infrastructure as code.

Mansioni

  • Design, configure, and operate Azure Databricks workspaces and governance.
  • Build and optimize batch and real-time pipelines using PySpark, SQL, and Delta Lake.
  • Implement medallion architecture, data quality checks, and reproducible processing patterns.
  • Automate Databricks deployments with Terraform, GitHub Actions, or Azure DevOps.
  • Monitor health and security; support deployment and operational readiness.

Conoscenze

Azure Databricks
Python
SQL
CI/CD
Terraform

Formazione

BA/BS/MS in Computer Science, Engineering, Data Science

Strumenti

Terraform
Databricks Asset Bundles
GitHub Actions
Azure DevOps
ADLS Gen2

Descrizione del lavoro

ICF seeks a Senior Databricks Platform Engineer to design, build, secure, and operate governed Azure Databricks Lakehouse capabilities supporting a cloud-based analytics platform and enterprise AI operations. You will develop reliable batch and streaming pipelines, administer workspaces and access, and automate delivery through infrastructure as code and CI/CD.

Remote work is available for this federal contract, with collaboration across data engineers, cloud architects, security analysts, and

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