Senior Data Engineer Id88014

AgileEngine, LLC.; Victoria; Hybrid; ARS 181,747,000 - 272,620,000; Part time

Benefits offered by this job

Professional growth

Competitive pay (USD)

Exciting projects

Flextime

Job summary

AgileEngine, LLC. is seeking a Senior Data Engineer to audit AWS architecture, CI/CD, and data pipelines as a part-time advisor. You will mentor the engineering team and guide SDLC governance. The role emphasizes AWS depth, Terraform fluency, and data engineering leadership.

The position supports remote/hybrid work with a flexible schedule, including a 50% advisory capacity that can step to 25% as needed, reporting to leadership with actionable recommendations.

Qualifications

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

Responsibilities

• Audit current AWS architecture across live applications and pipelines.
• Review and improve CI/CD processes and SDLC governance.
• Evaluate use of Claude Code for code quality and cost management.
• Provide early opinions on ETL/data-ingestion architecture.
• Mentor infra/build team and set technical direction.
• Report findings to leadership with risk and readiness framing.

Skills

AWS architecture

ETL design

Data engineering depth

AI/LLM workflows

Mentoring engineers

Tools

AWS

Terraform

CI/CD tooling

SageMaker

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.

Senior Data Engineer ID88014 ROSARIO, S, ar