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21 час назад

Data Engineer

120 000 - 170 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Data Engineer: Building and optimizing scalable and reliable data pipelines and models for an education platform with an accent on accurate reporting, decision-making, and handling real-world educational changes. Focus on implementing flexible dimensional models, improving deployment and testing processes for data pipelines, and ensuring confidence in analytics outputs.

Location: Remote (United States) or potential onsite/hybrid in Dallas, New York, or Orlando.

Salary: $120,000–$170,000 USD per year

Company

Our client is a US education pioneer specializing in next-generation curriculum and formative assessment, creating interactive web solutions for teachers, students, and parents.

What you will do

  • Build scalable and reliable data pipelines to transform raw learning data into analytics-ready models.
  • Create data models that provide clear visibility into learner progress and performance.
  • Implement flexible dimensional models that handle real-world educational changes.
  • Improve deployment and testing processes for data pipelines, reducing data issues.
  • Collaborate with data scientists, data analysts, data engineers, and software engineers.

Requirements

  • 5+ years experience in computer, data, and analytics engineering.
  • Expertise in SQL and its use in code-based ETL frameworks, preferably dbt.
  • Expertise in ETL/ELT pipelines, analytical data modeling, aggregations, and metrics.
  • Expertise in dbt and git, preferably with automation skills.
  • Expertise in analytical modeling architectures, including the Kimball design.
  • Strong communication skills in writing and conversation.

Nice to have

  • Fluency in a development language such as Python.
  • Experience building dashboards, reports, and models in business intelligence tools such as Tableau or Looker.
  • Expertise with tools like Snowflake, AWS Storage Services (S3, RDS, Glacier, DynamoDB), Postgres, Airflow, Matillion, Fivetran, and Cube.dev.

Culture & Benefits

  • Vacation as per the laws of your country.
  • Assistance with health insurance policies for you and your loved ones.
  • 10 days sick pay without a doctor's note.
  • Time off for state holidays, regardless of the client’s schedule.
  • Pleasant environment with corporate parties and small get-togethers.
  • Comfort service for technical and everyday problems at work.
  • Opportunity to work on global projects and grow your career with support for IT certifications and access to top-tier learning platforms.

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