Senior Data Engineer ID88014

AgileEngine, LLC.; Mar del Plata; Hybrid; ARS 181,747,000 - 272,620,000; Part time

Benefits offered by this job

Professional growth

Competitive compensation

Flexible scheduling

Job summary

AgileEngine, LLC. in Argentina seeks a Senior Data Engineer in a part-time advisory capacity to review AWS architecture, CI/CD pipelines, and data pipelines for a media analytics platform. You will mentor the engineering team and help shape SDLC governance while prioritizing cost efficiency and quality.

The role focuses on evaluating AI-enabled workflows (e.g., Claude Code) and guiding ETL/data ingestion architecture, with a flexible mix of remote and on-site collaboration.

Qualifications

• 4+ years hands-on AWS experience (ECS/Fargate, ECR, RDS Postgres, S3, SageMaker, EventBridge, VPC/ALB/CloudFront, IAM).
• Fluency in IaC, specifically Terraform.
• Proven track record designing/auditing CI/CD pipelines and SDLC governance.
• Deep data engineering experience in ETL/ingestion architecture.
• Experience evaluating AI-assisted development workflows (Claude Code).
• Comfortable in a part-time advisory capacity (50% to 25%).

Responsibilities

• Audit the current AWS architecture across live apps (ECS/ECR, RDS, S3, VPC, CloudFront, SageMaker).
• Review CI/CD process and SDLC governance, suggesting improvements.
• Evaluate Claude Code usage for quality and cost management.
• Provide early opinions on ETL/data-ingestion architecture (ELT tooling vs custom).
• Mentor infrastructure build team, focusing on AWS, DevOps, CI/CD and data engineering.
• Set recommendations and direction for audit-driven changes.
• Report findings and risks to leadership with clear readiness plans.

Skills

AWS expertise

CI/CD pipelines

Terraform

Data engineering

MLOps understanding

Claude Code evaluation

Part-time advisory

Tools

SageMaker

ECS/Fargate

RDS Postgres

S3

Terraform

Job description

MAR DEL PLATA, Argentina

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.