Senior DevOps Engineer - Databricks, Remote LATAM

FullStack; Mar del Plata; Remote; ARS 182,485,000 - 288,934,000; Full time

Benefits offered by this job

100% remote

Competitive pay

Continuing education

Career growth

Top clients & projects

Job summary

FullStack is seeking a Senior DevOps Engineer (Databricks) to join our talent network and collaborate with US clients on flexible, project-based development work. You will integrate into client teams, optimize Databricks on AWS, and contribute to CI/CD efforts across multiple repositories.

Ideal candidates bring 5+ years in data/platform engineering or DevOps, strong English, and a four-year degree. Remote, enterprise-scale projects, and opportunities with leading firms await.

Qualifications

• 5+ years of professional experience in Data Engineering, Platform Engineering, or DevOps.
• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Extensive experience administering and optimizing Databricks on AWS in enterprise environments.
• Proven experience with Terraform and Infrastructure as Code for cloud infrastructure automation.
• Hands-on experience automating Databricks jobs, clusters, and serving endpoints using REST APIs and Infrastructure as Code.
• Strong experience designing and maintaining GitHub Actions workflows and reusable CI/CD frameworks across multiple repositories.
• Proficiency in Python and SQL, with a solid understanding of data engineering workflows.
• Strong understanding of Apache Spark and distributed data processing.
• Experience implementing automated code quality and security checks using tools such as SQLFluff, PyLint, and GitHub Actions.
• Proven experience establishing SDLC guardrails, branch protection, code ownership, approval workflows, deployment controls, and secure secret management.
• Hands-on experience managing Databricks Unity Catalog, including access controls and data lineage.
• Strong understanding of AWS IAM, Databricks RBAC, identity providers, and least-privilege access principles.
• Experience implementing monitoring, logging, alerting, and observability for cloud and data platforms.
• Experience designing scalable, reliable, and cost-efficient multi-environment data platform architectures.
• Familiarity with Snowflake and modern data engineering platforms is a plus.
• Ability to work through new and difficult issues and contribute to libraries as needed.
• Ability to create and maintain continuous integration and delivery of applications.
• Forensic attention to detail.
• A positive mindset and a can-do attitude.
• Experience working on Agile / Scrum teams.
• Meaningful experience working on large, complex systems.
• Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
• Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.

Responsibilities

• Integrate into the client's team daily and collaborate with designers and engineers.
• Administer and optimize Databricks on AWS in enterprise environments.
• Design and maintain GitHub Actions workflows and CI/CD frameworks across multiple repositories.
• Implement automated code quality and security checks using tools such as SQLFluff, PyLint, and GitHub Actions.
• Manage Databricks Unity Catalog, including access controls and data lineage.
• Contribute to SDLC guardrails, deployment controls, and secure secret management.

Skills

Databricks

AWS

Terraform

GitHub Actions

Python

SQL

CI/CD

Spark

Data engineering workflows

Education

Four-year college degree

Tools

Terraform

GitHub Actions

CI/CD frameworks

Snowflake

Job description

FullStack is seeking a Senior DevOps Engineer (Databricks) to join our talent network and collaborate with US clients on flexible, project-based development work. You will integrate into client teams, optimize Databricks on AWS, and contribute to CI/CD efforts across multiple repositories.

Ideal candidates bring 5+ years in data/platform engineering or DevOps, strong English, and a four-year degree. Remote, enterprise-scale projects, and opportunities with leading firms await.