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 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
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📌 Remote Senior Data Engineer: Cloud Lakehouse & Dataops Lead (Mendoza)
🏢 AESA (A-Evangelista
📍 Mendoza