CORDOB.A, ARGENTINA
FULL TIME
R*****
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.
At the same time, you will actively contribute to the design and operation of data pipelines using AWS Glue, Athena, and S3, bringing a strong operational mindset to data engineering.
If you thrive at the boundary between platform and data, love automating toil, and care deeply about reliability and developer experience, this role is for you.
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
General 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 .
CODERIO
Codero designs and delivers scalable digital solutions for global companies.
We combine strong technical expertise with a product mindset to lead complex software initiatives end‐to‐end.
We work with international clients, value autonomy and clear communication, and build long‐term partnerships through technical excellence.
MORE INFORMATION
We are looking for a Senior Data Engineer to design, build, and optimize scalable, high‐performance data platforms supporting large volumes of financial and transactional data.
The ideal candidate has strong expertise in Python, SQL, Apache Spark, AWS,



and modern data engineering architectures, with proven experience working with production‐grade systems in fast‐paced environments.
MINIMUM REQUIREMENTS
3+ years in analytics engineering, data engineering, or a closely related role, including hands‐on work on production data pipelines that other systems or customers depended on.
Solid dbt experience: modeling, tests, macros, and incremental models.
Strong SQL and working Python.
Data modeling fundamentals: dimensional modeling, data marts, grain and conformance.
Experience with a modern cloud warehouse (Snowflake preferred).
Experience with ingestion tooling and orchestration (Airbyte, Prefect, or equivalents).
Familiarity with agentic coding tools and an understanding of why guardrails around their output matter.
Deep curiosity about the business: you want to understand what the data means and how customers use it, not just how it flows.
Software engineering discipline for analytics code: Git, code review, CI/CD.
Can take a multi‐sprint piece of work from spec to production with normal oversight, and can explain tradeoffs to technical and non‐technical stakeholders.
PROFESSIONAL EXPERIENCE
10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
Strong software development experience with: Python, Go.
Strong experience designing and consuming REST APIs.
Hands‐on experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems.
Experience integrating complex enterprise systems and third‐party platforms.
Solid understanding of both SQL and NoSQL databases.
Production experience with at least one major cloud platform: AWS, Azure, GCP.
Experience working with Docker and Kubernetes.
Strong understanding of Git‐based development workflows and CI/CD practices.
Experience designing reliable, scalable, and production‐ready distributed systems.
Strong debugging skills across APIs, infrastructure, networking, application services, and data pipelines.
Experience working directly with customers, stakeholders, or technical partners.
Ability to translate complex customer requirements into pragmatic technical solutions.
Strong communication skills and the ability to operate effectively in customer‐facing technical conversations.
High degree of autonomy and ownership when solving ambiguous technical problems.
COMPLEMENTARY BENEFITS
100% remote
Long‐term commitment, with autonomy and meaningful impact
Strategic, high‐visibility role within a modern engineering culture
Collaborative international team with strong technical leadership
Career development and growth opportunities within Coderio
OTHER OPPORTUNITIES
Welcome kit.
Healthy break.
#J-*****-Ljbffr

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