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12 часов назад

Data Engineer, Product

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
Английский
b2
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

Data Engineer, Product (SQL/Python/dbt): Building reliable data pipelines, governed analytical models, and self-service BI foundations for a digital healthcare product with an accent on data accuracy, metric consistency, and stakeholder enablement. Focus on designing scalable ingestion and orchestration workflows, analyzing KPIs and experiments, and building AI-powered natural-language analytics tools.

Location: Remote within LATAM

Company

hirify.global is a healthcare technology startup providing telemedicine, personalized nutrition, medication delivery, and insurance solutions focused on obesity care and wellbeing.

What you will do

  • Design, build, and maintain reliable ETL/ELT pipelines and data ingestion workflows.
  • Own dbt models, datasets, and the semantic layer supporting trusted business metrics.
  • Implement testing, observability, alerting, and tooling improvements across analytics pipelines.
  • Partner with analysts and stakeholders to define requirements and deliver scalable data solutions.
  • Perform KPI, release-performance, segmentation, and A/B test analysis.
  • Use AI-assisted coding workflows and help build natural-language querying tools for non-technical stakeholders.

Requirements

  • 3–5+ years of experience as a data engineer, analytics engineer, or in a similar role.
  • Strong SQL, Python, dbt, and modern data-modeling skills.
  • Experience with large-scale data systems such as BigQuery or Snowflake.
  • Familiarity with CI/CD, Git-based workflows, automated testing, and BI tools such as Looker, Tableau, or Power BI.
  • Knowledge of statistics, experimentation, segmentation, and metric definition.
  • Strong ownership, communication, stakeholder-partnering, adaptability, and experience using AI to accelerate development or analytics.

Nice to have

  • Experience with GCP and Cloud Composer or Airflow DAGs.
  • LookML, semantic-layer, or metric-governance experience.
  • Subscription analytics, including retention, rebill/refill, and LTV.
  • Cloud-native pipelines, Cloud Functions, GCP monitoring, and data-job alerting.
  • Healthcare, telehealth, MSO, or startup experience.

Culture & Benefits

  • Fully remote work policy with autonomy, accountability, and results-oriented collaboration.
  • Unlimited PTO and 13 company holidays with floating-holiday flexibility.
  • Paid parental leave and additional benefits may vary by country and employment type.
  • Company equipment, including a laptop and software, is provided.
  • Startup environment with opportunities to make a tangible impact.

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