Senior DevOps Engineer - Databricks on AWS (Remote)

FullStack

La Plata

Remote

ARS 181,747,000 - 272,620,000

Full time

11 days ago

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Benefits offered by this job

100% remote
Continuing education
Fortune 500 exposure

Job summary

FullStack is seeking a Senior DevOps Engineer (Databricks) to join our talent network and work on flexible, project-based engagements with U.S. clients.

You will integrate into client teams and collaborate with designers and engineers daily to build scalable data platforms. The ideal candidate has 5+ years in Data/Platform/DevOps engineering, advanced English, a four-year degree, and hands-on Databricks on AWS, Terraform IaC, REST APIs, CI/CD workflows, and Python/SQL.

Qualifications

  • 5+ years in Data/Platform/DevOps engineering.
  • Advanced English required.
  • Four-year college degree required.
  • Extensive Databricks on AWS experience in enterprise environments.
  • Terraform IaC experience for cloud automation.
  • Automating Databricks jobs, clusters, and endpoints via REST APIs.
  • Proficient in Python and SQL with data engineering workflows.
  • Experience with CI/CD using GitHub Actions across repos.
  • Understanding of AWS IAM, RBAC, and secure secret management.
  • Strong SDLC governance and data lineage knowledge.

Responsibilities

  • Integrate into client teams and work daily with designers and engineers.

Skills

Advanced English
Python
SQL
CI/CD workflows
GitHub Actions
Data Engineering
DevOps
Spark
Team collaboration
Ability to own tasks

Education

Bachelor's degree

Tools

Databricks
Terraform
AWS
REST APIs
GitHub Actions
Unity Catalog
Snowflake

Job description

FullStack is seeking a Senior DevOps Engineer (Databricks) to join our talent network and work on flexible, project-based engagements with U.S. clients.

You will integrate into client teams and collaborate with designers and engineers daily to build scalable data platforms. The ideal candidate has 5+ years in Data/Platform/DevOps engineering, advanced English, a four-year degree, and hands-on Databricks on AWS, Terraform IaC, REST APIs, CI/CD workflows, and Python/SQL.

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