Назад
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8 дней назад

Senior Data Engineer

11 500 - 144 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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
Senior Data Engineer (GCP/Python/SQL): Building and maintaining scalable data infrastructure and batch and real-time pipelines for analytics, machine learning, and decision intelligence with an accent on data modeling, governance, and pipeline reliability. Focus on designing cloud-native data solutions, optimizing ETL/ELT workflows, automating CI/CD and quality controls, and supporting reproducible machine learning environments.

Location: Minneapolis headquarters; four days per week in-office and one day working from home. Must be eligible to work in the U.S.

Salary: $115,00–$144,000 annually, with potential additional compensation through commission and/or an incentive program.

Company

hirify.global provides commercial real estate solutions across the United States through 16 offices and has more than 88 years of experience.

What you will do

  • Architect, build, and maintain scalable data pipelines on Google Cloud Platform using BigQuery, Dataflow, and Cloud Storage.
  • Design dimensional data models, star schemas, and data warehousing solutions for business intelligence and analytics.
  • Develop and orchestrate batch and real-time ETL/ELT workflows with Cloud Composer or Apache Airflow using Python and SQL.
  • Monitor, troubleshoot, and optimize pipeline performance, data quality, and data integration workflows.
  • Build CI/CD automation and reproducible data environments that support machine learning model deployment and monitoring.
  • Lead data solution implementation, collaborate with architects and analysts, and mentor other data engineers.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related technical field.
  • 5+ years of professional experience in data engineering or a similar role.
  • Strong programming skills in Python and SQL, with experience using Cloud Composer or similar tools.
  • Experience designing and maintaining data pipelines on GCP, AWS, Azure, or comparable platforms.
  • Experience with data quality, validation, testing, governance, and secure data handling.
  • Eligibility to work in the U.S. is required.

Nice to have

  • Cloud-native data infrastructure experience, preferably with GCP and exposure to AWS.
  • Familiarity with MLOps or production machine learning pipelines.
  • Exposure to domain-driven architecture.
  • Strong cross-functional collaboration and communication skills.

Culture & Benefits

  • Medical, dental, and vision benefits.
  • Retirement and savings benefits, flexible spending and health savings accounts.
  • Life insurance, short- and long-term disability coverage, and paid time off.
  • Educational assistance, parenting benefits, employee discounts, and pet insurance.
  • Employee assistance, wellness programs, charitable matching funds, and paid volunteer time.

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