Senior Data Engineer ID88014

AgileEngine, LLC.; Bogotá; Remote; COP 286,451,000 - 381,934,000; Part time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Exciting projects

Flextime

Job summary

AgileEngine, LLC. is seeking a Senior Data Engineer to audit the AWS architecture and data pipelines, and to mentor the engineering team in a part-time advisory role. You will review live systems and CI/CD processes to improve governance and efficiency.

The role emphasizes hands-on AWS expertise, Terraform IaC, and evaluating AI-assisted workflows. This is a part-time advisory position with flexible hours, remote-friendly, and opportunities to shape data strategy across projects.

Qualifications

• 4+ years hands-on AWS experience (ECS/Fargate, RDS, S3, SageMaker).
• Fluency with Terraform IaC.
• Experience auditing CI/CD pipelines and SDLC governance.
• Strong data engineering depth for ETL architecture.
• Experience evaluating AI-assisted development workflows.
• Ability to mentor engineers in a part-time advisory role.

Responsibilities

• Audit AWS architecture across live apps (ECS/ECR, RDS, S3, VPC, CloudFront, SageMaker).
• Review CI/CD and SDLC governance and propose improvements.
• Evaluate Claude Code usage for quality and cost governance.
• Provide early opinion on ETL/ingestion architecture.
• Mentor infra/devops/data eng team.
• Set recommendations and direction from audit findings.
• Report findings to leadership with risk framing.

Skills

AWS Expertise

Terraform IaC

CI/CD Governance

Data Engineering

AI/LLM Workflows

Part-time Advisory

Tools

Terraform

Claude Code

CI/CD tooling

Job description

• Country Colombia
• Job Type Full time

Job Description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior Data Engineer to review the AWS architecture, CI/CD, and data pipelines of a media analytics platform, and mentor the engineering team in a part-time advisory role.

MUST HAVES

• - 4+ years of deep, current hands-on experience with AWS: ECS/Fargate, ECR, RDS (Postgres), S3, SageMaker, EventBridge, VPC/ALB/CloudFront, IAM.
• - Fluency in Infrastructure-as-code, specifically Terraform.
• - Proven track record designing or auditing CI/CD pipelines and SDLC governance (e.g., Alembic for schema/version control, environment separation, release gating).
• - Strong data engineering depth to provide defensible opinions on ETL / ingestion architecture (managed tools vs. custom builds).
• - Experience evaluating AI-assisted / LLM-assisted development workflows (e.g., Claude Code) from an engineering-quality and cost-governance standpoint.
• - Comfortable operating in a part-time advisory capacity (50% stepping down to 25%) as a strong communicator who can mentor less experienced engineers.

NICE TO HAVES

• - Prior experience working with small, fast-moving engineering teams.
• - Understanding of MLOps pipelines and data science infrastructure.
• - Media/AdTech domain knowledge is helpful but not required.

WHAT YOU WILL DO

• - Audit the current AWS architecture across live applications, including ECS/ECR, RDS (Postgres), S3, VPC, CloudFront/SSO, and SageMaker-based MLOps pipeline design.
• - Review the CI/CD process and end-to-end app development lifecycle, recommending SDLC governance layers (schema versioning, environment separation, release gating).
• - Evaluate how the team uses Claude Code (PR generation, automated reviews, token/cost management) to confirm output meets professional engineering standards.
• - Provide an early technical opinion on ETL / data-ingestion pipeline architecture (managed ELT tooling vs. custom build).
• - Mentor and accelerate the day-to-day infrastructure build team, focusing on AWS, DevOps, CI/CD, and data engineering practices.
• - Set out recommendations and technical direction where the audit surfaces necessary changes to the current build.
• - Report findings and recommendations directly to leadership, framing high-level risk and readiness.

PERKS AND BENEFITS

• - Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• - Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
• - Exciting projects: Modern solutions with Fortune 500 and top product companies.
• - Flextime: Flexible schedule with remote and office options.