Senior Ml & Data Analytics Engineer (Power Bi)

Improving South America; Buenos Aires; Hybrid; ARS 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Career success on your terms

Flexible work environment

Annual wellness and community days

Recognition for contributions

Global collaboration and networking

Job summary

Proofpoint is seeking a DevOps and Data Engineer to join our Data Platform team in a hybrid role. You will own reliability, automation, and delivery of data pipelines and analytics capabilities, building and maintaining cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling for data products.

You will collaborate with data engineers, data scientists, and security teams to ensure scalable, automated infrastructure solutions that enable faster and safer data shipping.

Qualifications

• 2+ years of professional experience in DevOps, platform engineering, or site reliability engineering, with hands-on data engineering work.
• Expertise with AWS core services: S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS, Secrets Manager, and CloudFormation/CDK.
• Hands-on experience with AWS data services: Glue, Athena, and S3 lifecycle/encryption.
• Proficiency with Infrastructure-as-Code tools - Terraform and/or AWS CDK.
• Strong CI/CD experience: designing and maintaining pipelines in GitHub Actions, Jenkins, GitLab CI, or equivalent.
• Experience with container technologies (Docker) and container orchestration (ECS/EKS or Kubernetes).

Responsibilities

• Implement and maintain CI/CD pipelines for automated testing, deployment, and promotion of AWS Glue ETL jobs, Athena views, and related data infrastructure.
• Build and manage cloud infrastructure on AWS using IaC (Terraform and/or AWS CDK) including S3, IAM, Glue resources, Athena workgroups, and networking.
• Own the observability stack for data pipelines with metrics, logs, and alerts for SLA compliance.
• Manage container and compute infrastructure (Docker, ECS/EKS, Lambda) to support data ingestion microservices.
• Build and maintain AWS Glue ETL jobs (PySpark) for large-scale data ingestion and transformation.
• Collaborate with data engineers/scientists to translate requirements into scalable infrastructure solutions.

Skills

2+ years DevOps/Data Eng

AWS core services

CI/CD

Docker

Kubernetes

Tools

Terraform

AWS CDK

GitHub Actions

Jenkins

Job description

Cordoba, Argentina
Full time
R14759

About Us

Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.

How We Work

At Proofpoint you'll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:
Bold in how we dream and innovate
Responsive to feedback, challenges and opportunities
Accountable for results and best in class outcomes
Visionary in future focused problem-solving
Exceptional in execution and impact

Position Overview

Proofpoint is seeking a DevOps and Data Engineer to join our Data Platform team. This is a hybrid role that sits at the intersection of platform engineering and data infrastructure-you will own the reliability, automation, and delivery of the systems that power Proofpoint's data pipelines and analytics capabilities. You will build and maintain the cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling that enable data engineering teams to ship high-quality data products faster and more safely.

What You'll Do

• Implement, and maintain CI/CD pipelines (GitHub Actions, Jenkins, or equivalent) for automated testing, deployment, and promotion of AWS Glue ETL jobs, Athena views, and related data infrastructure.
• Build and manage cloud infrastructure on AWS using Infrastructure-as-Code (Terraform and/or AWS CDK)-covering S3 buckets, IAM roles, Glue resources, Athena workgroups, Lake Formation permissions, VPCs, and supporting services.
• Own the observability stack for data pipelines: define and instrument metrics, logs, and alerts (CloudWatch, Datadog, or equivalent) to ensure SLA compliance and fast incident response.
• Manage container and compute infrastructure (Docker, ECS/EKS, or Lambda) used to support data ingestion microservices and orchestration workers.
• Build and maintain AWS Glue ETL jobs (PySpark) for large‑scale data ingestion and transformation across the data lake on S3.
• Collaborate with data engineers, data scientists, and security teams to translate requirements into scalable, automated infrastructure solutions.

What You Bring to the Team

Required

• 2+ years of professional experience in DevOps, platform engineering, or site reliability engineering, with at least 2 years of hands‑on data engineering work.
• Expertise with AWS core services: S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS, Secrets Manager, and CloudFormation/CDK.
• Hands‑on experience with AWS data services: Glue (ETL jobs, Crawlers, Data Catalog), Athena (workgroup management, query tuning, federated queries), and S3 (lifecycle, encryption, event notifications).
• Proficiency with Infrastructure‑as‑Code tools-Terraform and/or AWS CDK-for managing production cloud environments.
• Strong CI/CD experience: designing and maintaining pipelines in GitHub Actions, Jenkins, GitLab CI, or equivalent.
• Experience with container technologies (Docker) and container orchestration (Amazon ECS, EKS, or Kubernetes).

Nice to Have

• Knowledge of data quality frameworks (Great Expectations, Deequ, or similar) and experience integrating them into CI/CD.
• Familiarity with open table formats (Apache Iceberg, Delta Lake) and lakehouse patterns.
• Background in cybersecurity, threat intelligence, or security‑data analytics environments.

Why Proofpoint?

• Competitive compensation
• Comprehensive benefits
• Career success on your terms
• Flexible work environment
• Annual wellness and community outreach days
• Always on recognition for your contributions
• Global collaboration and networking opportunities

Our Culture

Our culture is rooted in values that inspire belonging, empower purpose and drive success‑every day, for everyone.

We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to .

Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.

Find your network, your allies, and your biggest fans. We know that work is simply better when you're surrounded by people who inspire you‑who share ideas, cheer you on, and genuinely want to see you succeed. That's why we offer social circles, sponsored networks, and connection points across teams and time zones‑to help you find your people, build your community, and thrive together.

This isn't just a job‑it's a mission to protect people and defend data in a world that never slows down. We're building the future of human‑centric cybersecurity, and that future belongs to all of us. We take ownership, move fast, and hold ourselves accountable‑because that's what it takes to stay ahead. And we do it together, winning as one.

Be empowered to reach your full potential through meaningful challenges and personalized support‑designed around you and your goals. Whether you're growing as a leader or leveling up from great to exceptional as an individual contributor, we're here to help you get there.

Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.