Senior Data Engineer ID88014

AgileEngine, LLC.; Perímetro Urbano Bucaramanga; Hybrid; COP 378,621,000 - 504,827,000; Part time

Benefits offered by this job

Flextime

Remote and office options

USD-based pay

Job summary

AgileEngine, LLC. is seeking a Senior Data Engineer to audit the AWS architecture, CI/CD, and data pipelines of a media analytics platform. This part-time advisory role includes mentoring the engineering team and guiding SDLC governance.

The ideal candidate has 4+ years of hands-on AWS experience, Terraform fluency, and strong data-engineering depth, with the ability to mentor while working 50% (potentially 25%).

Qualifications

• 4+ years of hands-on AWS experience (ECS/Fargate, ECR, RDS Postgres, S3, SageMaker, EventBridge, VPC/ALB/CloudFront, IAM).
• Fluency with Infrastructure-as-code, specifically Terraform.
• Proven track record designing or auditing CI/CD pipelines and SDLC governance.
• Strong data engineering depth for ETL/ingestion architecture.
• Experience evaluating AI-assisted / LLM-assisted development workflows (e.g., Claude Code).
• Part-time advisory capacity (50% stepping down to 25%).
• Upper-intermediate English level.
• Nice to have: small-team experience, MLOps familiarity, ads/tech domain knowledge.

Responsibilities

• Audit the current AWS architecture across live applications (ECS/ECR, RDS Postgres, S3, VPC, CloudFront, SageMaker MLOps).
• Review CI/CD processes and SDLC governance (schema versioning, environments, release gates).
• Evaluate Claude Code usage for quality and cost governance.
• Provide early opinions on ETL/data-ingestion pipeline architecture (ELT tooling vs custom builds).
• Mentor the infrastructure build team in AWS, DevOps, CI/CD, and data practices.
• Set out recommendations and technical direction from the audit, and report to leadership.
• Report findings and align on risk and readiness.

Skills

AWS

CI/CD

Data engineering

Mentoring

English (upper-intermediate)

Tools

Terraform

SageMaker

ECS/Fargate

RDS Postgres

S3

CloudFront

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.
• Upper-intermediate English level.

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.