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 USIf 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 ROLEWe 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.- Familiarity with Snowflake cost optimization, audit logging, tasks, stored procedures, and environment rationalization.- Experience migrating legacy ingestion or orchestration patterns such as Boomi or AWS Data Pipeline to modern managed or Kubernetes‑based solutions.- Experience with Terraform, CI/CD pipelines, and Infrastructure as Code practices supporting data platforms.- Experience with service‑management and change‑control tools such as Freshservice and Jira.- Familiarity with HIPAA, GDPR, FDA‑related controls, least‑privilege access, separation of duties, and audit‑ready operational practices.WHAT YOU WILL DO- Provide senior technical ownership for the Data Platform service tower during the LatAm coverage window, including day‑to‑day operations, complex troubleshooting, and L2/L3 escalation.- Operate and improve Snowflake production and non‑production environments, including warehouse configuration and sizing, performance and consumption monitoring, object lifecycle, environment hygiene, and support for production changes.- Administer data access within established controls, including users, roles, service accounts, secrets, and credential rotation, while maintaining least‑privilege and audit‑ready practices.- Operate and improve data ingestion across Fivetran, HVR where applicable, and custom pipelines, including connector configuration, scheduling, source onboarding, schema‑change coordination, failure recovery, backfills, and dependency management.- Design, build, and maintain reliable pipelines and dbt models across RAW, CURATED, and CONSUMPTION layers, with appropriate testing, documentation, lineage, version control,



and CI/CD practices.- Support AWS S3 data‑lake operations, including raw and landing‑zone workflows, lifecycle and retention controls, access patterns, logging, ingestion failures, and coordination with downstream Snowflake workloads.- Support Argo Workflows and Kubernetes‑hosted data workloads in close coordination with the Cloud / DevOps team, including scheduling, troubleshooting, deployment, recovery, and capacity dependencies.- Define and improve data quality and observability standards, including freshness, zero‑row, row‑count growth, null, duplicate, schema‑drift, and referential‑integrity checks.- Expand end‑to‑end monitoring and lineage using tools such as SYNQ, dbt, Snowflake audit data, Splunk, and the agreed alerting stack, linking actionable alerts to evidence and runbooks.- Lead or support major data incidents, root‑cause analysis, post‑incident reviews, and preventive actions across ingestion, orchestration, Snowflake, and downstream Tableau dependencies.- Support Tableau Cloud operations where upstream data, connectivity, permissions, extracts, or refresh failures require Data Platform investigation.- Identify and deliver standardization, automation, reliability, performance, and cost improvements, including migration of suitable legacy or custom extraction patterns toward agreed golden paths.- Execute work through controlled incident, request, access, change, and release processes using established service‑management workflows.- Create and maintain runbooks, operating procedures, architecture context, ownership information, recovery procedures, and knowledge‑transfer materials.- Mentor Middle‑level engineers, review technical work, improve team practices, and ensure effective handoffs across the distributed service team.- Participate in the Data Platform on‑call rotation for critical incidents outside staffed service hours.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: Adaptable schedule with remote and office options.#J-18808-Ljbffr

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