Senior Data Engineer Id88014

AgileEngine, LLC.; Xico; Hybrid; MXN 1,681,000 - 2,429,000; Part time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Exciting projects with Fortune 500/top

Flextime: remote & office options

Job summary

AgileEngine is seeking a Senior Data Engineer in a part-time advisory capacity to review AWS architecture, CI/CD, and data pipelines for a media analytics platform. You will mentor the engineering team and guide SDLC governance, focusing on cost-management and engineering quality.

You will evaluate ETL/ingestion architectures, MLOps pipelines, and AI-assisted development workflows. Remote-friendly with flexible Flextime options and office presence as needed.

Qualifications

• 4+ years of hands-on AWS experience (ECS/Fargate, ECR, RDS Postgres, S3, SageMaker, EventBridge, VPC/ALB/CloudFront, IAM)
• Fluency in Infrastructure as Code with Terraform
• Proven track record designing/auditing CI/CD pipelines and SDLC governance
• Strong data engineering depth for ETL/ingestion architecture
• Experience evaluating AI-assisted/LLM-assisted development workflows
• Comfortable in a part-time advisory capacity (50% down to 25%) and mentoring engineers

Responsibilities

• Audit current AWS architecture across live applications (ECS/ECR, RDS Postgres, S3, VPC, CloudFront/SSO, SageMaker-based MLOps)
• Review CI/CD process and SDLC governance (schema versioning, environment separation, release gating)
• Evaluate Claude Code usage for PR generation and automated reviews to meet engineering standards
• Provide technical opinion on ETL/data-ingestion pipeline architecture (managed ELT vs custom)
• Mentor and accelerate infrastructure build team (AWS, DevOps, CI/CD, data engineering)
• Set recommendations and technical direction from audit findings
• Report findings to leadership with risk and readiness framing

Skills

AWS proficiency

CI/CD governance

ETL/ingestion architecture

AI/LLM workflows

Mentoring/leadership

Strong communication

Tools

Terraform

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.