Senior DataOps Engineer: Cloud Automation & Data Infra

Coder Technologies Inc.; Bogotá; On-site; COP 90,000,000 - 150,000,000; Full time

Benefits offered by this job

High autonomy

International collaboration

Competitive compensation

Job summary

Coderio seeks a DataOps Engineer to join a fast-paced team, working at the intersection of data engineering, cloud infra, and DevOps. You will interact with customers to understand needs, extract requirements, and design scalable data operations.

The role emphasizes automation, API orchestration, cloud reliability, and practical data modeling while collaborating in a non-hierarchical environment and delivering hands-on solutions.

Qualifications

• Strong proficiency in Python and bash; SQL fluency as a second language.
• Deep familiarity with databases, data warehouses, and data lakes; adept at data pipelines.
• Solid knowledge of AWS environments and modern tooling like Terraform, GitHub, Docker, dbt.
• Ability to thrive with fast iterations and high attention to detail.
• Comfortable collaborating in diverse, non-hierarchical teams and engaging customers.

Responsibilities

• Develop Python components, Terraform modules, and pipelines to automate tools and processes.
• Promote and integrate APIs across systems to extract, update data and orchestrate workflows.
• Deploy and maintain cloud infrastructure ensuring reliability and performance.
• Create Data Models and technical docs; share best practices with users.
• Define DataOps policies, identify opportunities, and improve product features.

Skills

Python

bash

SQL

Data pipelines

Cloud infrastructure

DevOps

Autonomy

Customer-facing

Tools

Terraform

GitHub

Docker

dbt

AWS services (EC2, Lambda, IAM, SQS, RDS, Kinesis, Glue, EKS)

Job description

Coderio seeks a DataOps Engineer to join a fast-paced team, working at the intersection of data engineering, cloud infra, and DevOps. You will interact with customers to understand needs, extract requirements, and design scalable data operations.

The role emphasizes automation, API orchestration, cloud reliability, and practical data modeling while collaborating in a non-hierarchical environment and delivering hands-on solutions.