Senior Data Engineer Id88014

AgileEngine, LLC.; Sucre; Hybrid; COP 286,205,000 - 413,407,000; Part time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine, LLC. is seeking a Senior Data Engineer to audit AWS architecture, CI/CD pipelines, and data workflows for a media analytics platform.

This is a part-time advisory role (50% stepping down to 25%), with mentorship responsibilities for the engineering team and a focus on scalable data pipelines and cost governance. You will evaluate AI-assisted development workflows and MLops components, while collaborating across live applications and leadership to shape the technical direction and

Qualifications

• 4+ years of hands-on AWS experience including ECS/Fargate, ECR, RDS (Postgres), S3, SageMaker, EventBridge, VPC/ALB/CloudFront, IAM.
• Fluency in Infrastructure-as-code, specifically Terraform.
• Proven track record auditing CI/CD pipelines and SDLC governance (e.g., schema/version control, environment separation, release gating).
• Strong data engineering depth for ETL / ingestion architecture (managed tools vs. custom builds).
• Experience evaluating AI-assisted / LLM-assisted development workflows from an engineering-quality and cost-governance standpoint.
• Ability to operate in a part-time advisory capacity (50% stepping down to 25%) and mentor engineers.

Responsibilities

• 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 ensure output meets 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.

Skills

AWS expertise

Terraform

CI/CD & SDLC governance

ETL/Data ingestion architecture

MLOps / AI-assisted workflows

Mentoring / leadership

Tools

Claude Code

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.

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

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.

WHY JOIN US

ABOUT THE 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.

Senior Data Engineer ID88014 • Manizales, CAL, co