Senior Data Engineer ID88014

AgileEngine, LLC.; Curitiba; Hybrid; BRL 611,000 - 916,000; Part time

Benefits offered by this job

Professional growth

Competitive USD pay

Exciting projects

Flextime: remote + office

Job summary

AgileEngine is seeking a Senior Data Engineer for a part-time advisory role to audit AWS architectures and data pipelines, mentor the engineering team, and guide SDLC governance. The candidate will evaluate AI-assisted workflows and ETL designs, working across live systems with a focus on cost efficiency and quality.

The role offers flextime with remote and office options, engaging with fast-moving teams on modern media analytics platforms.

Qualifications

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

Responsibilities

• Audit current AWS architecture across live applications and MLOps pipelines.
• Review CI/CD and SDLC governance; recommend environment separation and release gating.
• Evaluate Claude Code usage for quality and cost management.
• Provide opinion on ETL/data-ingestion pipeline architecture (managed ELT vs custom).
• Mentor day-to-day infrastructure build team on AWS, DevOps, CI/CD, and data engineering practices.
• Set out recommendations and technical direction; report findings to leadership.

Skills

AWS

Terraform

CI/CD

ETL architecture

AI/LLM workflows

Mentoring

Part-time advisory

Tools

ECS/Fargate

RDS Postgres

S3

SageMaker

EventBridge

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.