AgileEngine is an Inc. **** 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.
PERKS AND BENEFITS
-
Professional growth
: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
-
Competitive compensation
: USD-based pay with education, fitness, and team activity budgets.
-
A selection of exciting projects
: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
-
Flextime
: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Requirements
4+ years of experience as an SDET Technical Solvency: Strong programming skills in Java (a "developer-first" approach to QA).
API Automation: Extensive experience using REST Assured for backend testing.
Frontend Automation: Proven hands-on experience with Playwright.




Testing Philosophy: Deep understanding of the "shift-left" approach and integrating automation into CI/CD pipelines.
Ability to work independently and provide technical direction on quality initiatives.
AgileEngine is an Inc. **** 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.
- Upper-intermediate English level.
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.
MUST HAVES
- 6+ 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.
- Upper-intermediate English level.
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.
PERKS AND BENEFITS
-
Professional growth
: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
-
Competitive compensation
: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
-
A selection of exciting projects
: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
-
Flextime
: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
#J-*****-Ljbffr

📌 Remote Strategy & Data Engineer — Process Mining (Rosario)
🏢 1300 ACCENTURE SRL
📍 Rosario