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Software Engineer (Data Engineering)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Software Engineer (Data Engineering): Designing, developing, and supporting complex data engineering projects with heterogeneous data sources with an accent on ETL/ELT strategy and database architecture. Focus on building scalable data models, orchestrating data workflows, and translating complex technical requirements for cross-functional business teams.

Location: Headquartered in El Segundo, CA. (US-based role)

Company

hirify.global is a leading provider of health information services and a subsidiary of Internet Brands, serving millions of users through a massive network of health-focused online portals and digital platforms.

What you will do

  • Design, develop, and maintain data engineering pipelines using diverse structured and unstructured data sources.
  • Implement efficient ETL/ELT strategies and robust data models.
  • Lead architectural planning and decision-making for complex data systems.
  • Orchestrate data workflows using scheduling tools to ensure reliable delivery.
  • Collaborate directly with non-technical departments like Finance, Marketing, and Sales.
  • Translate complex technical concepts for stakeholders and maintain high-quality documentation.

Requirements

  • 4+ years of experience with advanced database development and SQL.
  • 2+ years of experience with ETL tools such as Pentaho, Talend, Informatica, or DataStage.
  • 1+ years of experience with orchestration tools like Airflow, Control-M, or Autosys.
  • Proficiency in Python scripting and system troubleshooting.
  • Strong communication skills and experience working with cross-functional teams outside of IT.
  • Ability to define architectural and infrastructure requirements.

Nice to have

  • Experience with big data technologies like Vertica, Snowflake, Redshift, or the Hadoop ecosystem (Spark, Hive).
  • Knowledge of Google Cloud Platform (GCP) and BigQuery.
  • Understanding of digital marketing data or clinical/medical datasets.
  • Familiarity with Linux environments and business intelligence principles.

Culture & Benefits

  • Part of a globally recognized integrated online media and software organization.
  • Work within a high-traffic environment serving over 250 million monthly visitors.
  • Exposure to diverse data ecosystems including healthcare and digital marketing metrics.
  • Stable corporate environment with backing from major investment firms.

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