Senior Data Engineer ID88014

AgileEngine, LLC.; Sur; A distancia; COP 381.934.000 - 572.902.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

Exciting projects

Flextime — remote and office options

Descripción de la vacante

AgileEngine, LLC is seeking a Senior Data Engineer to review the AWS architecture, CI/CD, and data pipelines of a media analytics platform, and to mentor the engineering team in a part-time advisory role.

The role is 50% time, stepping down to 25% later, with flexible remote options and potential office presence. Ideal candidates have deep AWS expertise, strong CI/CD governance, and data-engineering depth.

Formación

• 4+ years hands-on AWS experience including ECS/Fargate, RDS Postgres, S3, SageMaker.
• Fluency with Terraform for IaC.
• Proven track record designing/auditing CI/CD pipelines and SDLC governance.
• Strong data engineering depth in ETL/ingestion architecture.
• Experience evaluating AI-assisted development workflows for quality and cost governance.
• Comfortable in a part-time advisory capacity (50% stepping down to 25%).

Responsabilidades

• Audit current AWS architecture across live applications (ECS/ECR, RDS Postgres, S3, VPC, CloudFront, SageMaker).
• Review CI/CD and end-to-end SDLC governance, recommending environment separation and release gating.
• Evaluate Claude Code usage for PR generation, automated reviews, and cost management.
• Provide early technical opinions on ETL/data-ingestion pipeline architecture.
• Mentor infrastructure build team in AWS, DevOps, CI/CD, and data practices.
• Set out recommendations and technical direction for required changes.
• Report findings to leadership with risk and readiness framing.

Conocimientos

AWS

Terraform

CI/CD

Data pipelines

ETL design

AI/LLM workflows

Mentoring

Herramientas

ECS/Fargate

ECR

RDS Postgres

S3

SageMaker

EventBridge

VPC/ALB/CloudFront

IAM

Descripción del empleo

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.