Remote Senior Data Engineer: Cloud Lakehouse & Dataops Lead

Aesa (A-Evangelista Sa); Ciudad de Mendoza; Remote; ARS 216,357,000 - 324,535,000; Full time

Job summary

AgileEngine in Mendoza is seeking a Senior Data Engineer to operate and improve a Snowflake-based data platform in a regulated healthcare environment. You will apply advanced SQL, Python, dbt, and AWS S3 experience, design data models, and manage ingestion pipelines with Fivetran/HVR while overseeing production quality and incident response.

Collaborate with Cloud/DevOps, Analytics, Security, and business stakeholders, mentor engineers, and participate in an on-call rotation aligned to Pacific

Qualifications

• 5+ years of Data Engineering or Data Platform Engineering experience.
• Snowflake design, performance, access patterns, and troubleshooting experience.
• Advanced SQL and dbt for transformation, testing, documentation, lineage, and controlled deployment.
• Experience with Fivetran or HVR ingestion tools.
• Hands-on AWS data services, especially S3.
• Experience with Argo Workflows on Kubernetes for orchestration.
• Python for data engineering and automation.
• Strong data modeling, schema evolution, backfills, data quality.
• Observability, logging, alerting, and incident-management for production data platforms.
• Lead incident resolution and root-cause analysis, driving preventive improvements.

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 operate and improve a Snowflake-based enterprise data platform in a regulated healthcare environment.

MUST HAVES

• 5+ years of professional experience in Data Engineering or Data Platform Engineering.
• Strong hands-on experience operating and developing solutions on Snowflake, including data-layer design, warehouse performance, access patterns, and production troubleshooting.
• Advanced SQL skills and strong experience with dbt for transformation, testing, documentation, lineage, and controlled deployment.
• Experience operating managed ingestion tools such as Fivetran or HVR and supporting custom data-ingestion pipelines.
• Hands-on experience with AWS data services, particularly S3 and event-driven or file-based ingestion patterns.
• Experience orchestrating and troubleshooting data workloads with Argo Workflows on Kubernetes, or comparable workflow-orchestration technologies.
• Proficiency in Python or a comparable language for data engineering, automation, and operational tooling.
• Strong understanding of data modeling, pipeline dependencies, schema evolution, backfills, data validation, and production data quality.
• Experience with observability, logging, alerting, and incident-management practices for production data platforms.
• Demonstrated ability to lead complex incident resolution, perform root-cause analysis, and convert findings into preventive improvements.
• Ability to make well-reasoned technical decisions, identify tradeoffs, estimate work, and guide improvements across a complex platform.
• Experience mentoring engineers and collaborating effectively with Cloud / DevOps, Analytics, Security, Governance, and business stakeholders.
• Strong written and verbal English communication skills, with the ability to work directly with client stakeholders.
• Full availability to work from 9:00 AM to 6:00 PM Pacific Time and participate in an agreed on-call rotation.

NICE TO HAVES

• Hands-on experience with a data-specific observability platform.
• Experience supporting Tableau