Senior Data Engineer: Ai-Driven Bi Pipelines

Lever, Inc.; Neuquén; Presencial; ARS 136.732.000 - 197.502.000; Jornada completa

Descripción de la vacante

Coderio designs and delivers scalable data solutions for global clients. You will join a fast-paced environment as a DataOps Engineer, working at the intersection of data engineering, cloud infrastructure, and DevOps to deliver robust data operations.

You will build Python components, Terraform modules, and pipelines, promote API-driven data flows, and maintain reliable AWS infrastructure. Strong emphasis on autonomy, collaboration, and customer-facing engagement.

Formación

• Strong proficiency in Python and Bash; SQL as a second language.
• Experience with databases, data warehouses, data lakes, and data pipelines.
• Hands-on with AWS (EC2, Lambda, IAM, SQS, RDS, Kinesis, Glue, EKS).
• Familiarity with Terraform, GitHub, Docker, and dbt.
• Ability to thrive in fast iterations and detail-oriented work.
• Autonomy to own projects with minimal guidance and collaborate in diverse teams.
• Customer-facing skills to understand needs and propose technical solutions.

Responsabilidades

• Automation & Integration: Develop Python components, Terraform modules, and pipelines to automate tools and processes.
• API & System Orchestration: Promote API usage to extract/update data and monitor processes.
• Cloud Reliability & Operations: Deploy and maintain cloud infrastructure for performance and reliability.
• Data Modeling & Documentation: Create data models and technical docs for users.
• DataOps Best Practices & Innovation: Define DevOps/DataOps policies and drive improvements.
• Customer-Facing Skills: Interact with customers to understand needs and propose solutions.

Conocimientos

Python

Bash

SQL

Data modeling

Data pipelines

Terraform

GitHub

Docker

dbt

AWS

Herramientas

Terraform

GitHub

Docker

dbt

AWS

Descripción del empleo

Coderio 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:

This is a high-impact technical role. We are looking for a motivated and adaptive DataOps Engineer, Technical Referent to join our fast-paced environment. You will operate at the intersection of data engineering, cloud infrastructure, and DevOps, where a high tolerance for ambiguity and a passion for constant learning are essential. Your primary mission involves interacting with customers to understand their needs, extract requirements, and both design and propose scalable solutions. You will be responsible for tackling the challenge of working within a team to develop solutions, as well as executing hands-on technical work to ensure robust data operations.

What To Expect In This Role (Responsibilities)

Automation & Integration: Develop Python components, Terraform modules, and pipelines to integrate and automate various tools and processes.

API & System Orchestration: Promote the use of APIs from distinct systems to extract and update data, trigger and monitor processes, and help tie infrastructures together.

Cloud Reliability & Operations: Deploy, maintain, and oversee cloud infrastructure to ensure it runs with the performance and reliability our customers expect.

Data Modeling & Documentation: Help create Data Models, technical documents, and best practices for our users.

DataOps Best Practices & Innovation: Develop policies, processes, and best practices regarding DevOps and DataOps. You will also help identify opportunities, generate innovative solutions, and improve existing product features.

Requirements

Development & Scripting: Strong proficiency in Python and bash, and fluency in SQL as a second language.

Data Ecosystems & Pipelines: Deep familiarity with databases, data warehouses, and data lakes, as well as being adept at data pipelines and process improvement.

Cloud & Tooling Mastery: Strong knowledge of AWS environments, including EC2, Lambda, IAM, SQS, RDS, Kinesis, Glue, and EKS. Must also be familiar with modern development tools like Terraform, GitHub, Docker, and dbt.

Mindset & Work Style: Ability to thrive in an environment with constant and quick iterations, consistently seeking out creative solutions to challenging problems. Must have strong attention to detail.

Autonomy & Collaboration: Ability to work collaboratively while also being capable of owning a project with little guidance. Must be comfortable working in a diverse environment and non-hierarchical organizations.

Customer-Facing Skills: Ability to interact directly with customers to understand needs, extract requirements, and propose technical solutions.

Nice to Have

AWS associate or professional-level certifications, such as Solutions Architect, Developer, or DevOps Engineer.

High-impact, strategic role driving modern data infrastructure and automation.

Collaborative international environment with senior technical leadership.

High autonomy to design, propose, and implement cutting-edge DataOps solutions.

Long-term engagement with competitive compensation and growth opportunities.

Why Join Coderio?

At Coderio, we value talent and technical excellence. We are passionate about modern engineering, high autonomy, and building solutions that make a real difference. We offer an inclusive and challenging environment where innovation is encouraged and technical leadership is valued. We are eager to design and deploy next-generation data solutions that elevate engineering teams, but we have removed references to apply statements here to keep the focus on the role.