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2 дня назад

Analytics Engineer

Формат работы
remote (только Latam)
Тип работы
fulltime
Грейд
middle
Английский
c1
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
Analytics Engineer (dbt/SQL): Building and operating governed data models, pipelines, and infrastructure for dashboards, financial reporting, and AI analytics across 15+ business domains with an accent on reliability, governance, and automation. Focus on provisioning BigQuery resources with Terraform, extending RBAC, developing Python-based Fivetran connectors, and improving testing, observability, and orchestration.

Location: Remote in Mexico or Colombia as a full-time employee, or in other LATAM locations as a contractor; working hours must overlap meaningfully with US time zones.

Company

hirify.global is a global technology company providing cloud intelligence and multicloud solutions that combine technology with human expertise for more than 4,000 customers.

What you will do

  • Share ownership of the governed data platform, including model changes, engineering backlog, data-source onboarding, CI/CD maintenance, and infrastructure operations.
  • Build, test, and maintain data models and pipelines supporting dashboards, finance and investor reporting, and the AI analytics layer across 15+ business domains.
  • Provision and configure BigQuery datasets, views, GCS buckets, and IAM permissions with Terraform, including ingestion destinations, access controls, and schema drift management.
  • Own RBAC expansion, data catalog metadata, documentation, testing standards, observability, alerting, and platform reliability.
  • Support Airflow and dbt scheduling in Cloud Composer and troubleshoot build failures.
  • Build Python-based Fivetran SDK connectors with pagination, rate limiting, error handling, and automated tests; partner with BI analysts and use AI tooling to accelerate development.

Requirements

  • 3–5 years of experience in analytics engineering, data engineering, or BI engineering, with a track record of delivering dependable data models.
  • Strong SQL skills, including complex analytical queries, query optimization, grain and join reasoning, and layered data modeling across staging, business logic, and consumption layers.
  • Professional experience building and maintaining dbt projects, including packages, macros, incremental strategies, snapshots, seeds, CI/CD, staging-to-intermediate-to-mart patterns, deferred builds, state comparison, and slim CI.
  • Software engineering discipline with version control, code review, automated testing, CI/CD, and a strong drive to automate repetitive manual work.
  • Ability to debug data issues to their root cause and account for freshness, volume, duplicates, and late-arriving data.
  • Ability to translate business needs into data requirements, work with non-technical stakeholders including Finance, and challenge unsuitable approaches constructively.
  • Comfort working across multiple repositories covering transformation, data infrastructure, orchestration, custom connectors, and foundational cloud resources.
  • Proven daily use of AI coding tools, independence in a remote global team, clear written communication, and disciplined documentation.
  • Fluent written and spoken English.

Nice to have

  • Experience with Google BigQuery, Fivetran, Apache Airflow or Cloud Composer, or equivalent AWS/Azure technologies.
  • Experience with data catalogs or observability tools such as OpenMetadata or Elementary.
  • Experience with Git-based CI/CD for data projects, Docker image builds, and automated plan/apply workflows.
  • Experience provisioning BigQuery datasets, IAM bindings, or GCS buckets with Terraform.
  • Python experience integrating REST APIs, including pagination, rate limiting, and error handling.
  • Strong understanding of the dbt build lifecycle, Jinja compilation, run/test/snapshot phases, and advanced macros.
  • BigQuery performance tuning using partitioning, clustering, incremental strategies, and slot and query-cost analysis.
  • Docker and basic Kubernetes experience, including pods, logs, and deployments.
  • Experience with SQLFluff, pre-commit frameworks, or custom validation scripts.
  • Experience modeling data from CRM, support, project management, marketing automation, or ERP platforms.
  • Knowledge of another language.

Culture & Benefits

  • Remote work with flexible scheduling that supports work-life balance.
  • Professional and personal development support.
  • Full-time employee benefits include unlimited vacation, flexible working options, health insurance, parental leave, and a home office allowance.
  • Employee stock option plan, professional development stipend, and peer recognition program.
  • Inclusive, equitable environment focused on entrepreneurship, learning, collaboration, and diversity.

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