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2 часа назад

Senior Data & Integration Engineer (Databricks/AI)

Формат работы
remote (только Argentina/Brazil/Uruguay)
Тип работы
project
Грейд
senior
Английский
c1
Страна
Argentina/Brazil/Uruguay
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data & Integration Engineer (Databricks/AI): Building a centralized incident management platform that connects alerting systems, Jira, AI agents, and cloud data platforms with an accent on production integrations, governed lakehouse pipelines, and auditable incident data products. Focus on designing incremental Databricks pipelines, implementing human-in-the-loop agent workflows, and ensuring testing, recovery, lineage, and operational handover.

Location: Buenos Aires, Brazil, or Uruguay; remote

Company

hirify.global designs and delivers scalable digital solutions for global companies, combining technical expertise with a product mindset to deliver complex software initiatives.

What you will do

  • Design, build, and maintain production-grade API and webhook integrations connecting alerting systems, Jira Cloud/JSM, internal services, and the Vantage incident management platform.
  • Implement Jira AI-agent integrations with tool calling, structured outputs, auditable write-backs, and human-in-the-loop approval workflows.
  • Build incremental Databricks lakehouse pipelines using Delta Lake, PySpark, and SQL to ingest data from AWS S3 with idempotency, schema evolution, and reconciliation.
  • Design governed incident datasets supporting MTTD, MTTR, incident coverage, and recurring-issue analysis, including lineage, access controls, and retention policies.
  • Own testing suites, failure recovery and backfill procedures, operational runbooks, and handover to internal operations.

Requirements

  • 5+ years of experience in Data Engineering or Backend Integration Engineering, including a track record of delivering production-grade data pipelines and services.
  • Hands-on production mastery of Databricks, Delta Lake, and PySpark/Spark SQL, including jobs, workflows, medallion architectures, and incremental ingestion.
  • Experience building and maintaining production REST APIs, webhooks, and lightweight backend services in Python with FastAPI or Flask, including authentication, retries, rate limiting, and idempotency.
  • Hands-on experience with core AWS services, primarily S3 and IAM, for secure storage and data ingestion.
  • Practical experience integrating LLMs or AI agents into real workflows, including human-in-the-loop validation, tool calling, and full audit logging.
  • Strong background in Git, CI/CD automation, automated unit and integration testing, and operational documentation and runbooks.
  • Advanced professional English proficiency, written and spoken, for daily collaboration with multicultural, globally distributed teams.

Nice to have

  • Direct experience integrating Jira Cloud or Jira Service Management APIs and webhooks.
  • Experience with data governance tools such as Databricks Unity Catalog, row or column masking, and PII protection.
  • Familiarity with SRE and incident response metrics such as MTTR and MTTD, and observability tools including CloudWatch, Datadog, or New Relic.
  • Background in fintech, payment platforms, or regulated data environments.

Culture & Benefits

  • 100% remote work within the stated locations.
  • Strategic, high-visibility work in a modern engineering culture with strong technical leadership.
  • Collaborative international environment with autonomy, clear communication, and long-term technical initiatives.
  • Career development and growth opportunities within hirify.global.
  • The contract initially lasts 3 months, with the possibility of extension to 6 months.

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