Remote Ml Engineer: Data & Ai Pipelines

Hire Hangar, Inc.; Municipio de Rincón de los Sauces; Remote; ARS 1,200,000 - 1,800,000; Full time

Job summary

Hire Hangar, Inc. in Argentina is seeking a motivated DataOps Engineer, Technical Referent to join a fast-paced, international team.

You will operate at the intersection of data engineering, cloud infrastructure, and DevOps, interacting with customers to understand needs and design scalable data solutions. Key responsibilities include automating integrations with Python and Terraform, API orchestration, cloud reliability on AWS, data modeling, and defining DataOps best practices.

Qualifications

• Proficient in Python, Bash, and SQL.
• Experience with data pipelines, data warehouses, and data lakes.
• Strong AWS knowledge (EC2, Lambda, IAM, SQS, RDS, Kinesis, Glue, EKS).
• Familiar with Terraform, GitHub, Docker, and dbt.

Responsibilities

• Automation & Integration: Develop Python components and pipelines to automate tools and processes.
• API & System Orchestration: Promote APIs to extract/update data and tie infrastructures together.
• Cloud Reliability & Operations: Deploy and maintain cloud infrastructure for reliability.
• Data Modeling & Documentation: Create data models and technical docs for users.
• DataOps Best Practices & Innovation: Define DevOps/DataOps policies and identify opportunities.

Skills

Python

Bash

SQL

Data pipelines

AWS

Terraform

GitHub

Docker

dbt

Data modeling

Tools

Terraform

GitHub

Docker

dbt

Job description

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