Senior Power Bi Analytics Platform Engineer

Software Engineering, Data Science; Buenos Aires; On-site; ARS 139,086,000 - 231,811,000; Full time

Job summary

AgileEngine is seeking a Senior Data Engineer to operate and enhance a Snowflake-based enterprise data platform in a regulated healthcare environment. You will own data pipelines, optimize warehouse performance, and implement scalable data architectures.

You will collaborate with teams across Cloud/DevOps, Analytics, Security, and Governance, mentor engineers, and participate in on-call rotations while delivering high-quality data solutions for client stakeholders.

Qualifications

• 5+ years of professional experience in Data Engineering or Data Platform Engineering.
• Snowflake expertise including data-layer design, warehouse performance, access patterns, and production troubleshooting.
• Advanced SQL and dbt experience for transformations, 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 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.

Skills

Advanced SQL

dbt

Python

Data modeling

Data quality

Incident management

Mentoring/leadership

English communication

Tools

Snowflake

Fivetran

HVR

AWS S3

Argo Workflows on Kubernetes

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 Cloud administration, data-source connectivity, extracts, scheduled refreshes, or production dashboard dependencies.