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15 часов назад

Senior Data Engineer (Snowflake)

Формат работы
remote (только USA)
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

Текст:
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TL;DR
Senior Data Engineer (Snowflake/Python/Kafka): Building and optimizing scalable data pipelines, models, and integrations for transactional applications, analytics, and external partners with an accent on data quality, dimensional modeling, near-real-time processing, and CI/CD. Focus on designing Snowflake and Kafka data flows, automating validation and integrations with Python, and applying AI and machine learning concepts to intelligent workflow improvements.

Location: Remote from an approved U.S. city and state; role associated with Tempe, Arizona

Company

hirify.global Family of Brands is a privately owned automotive sales, financing, servicing, and vehicle protection company operating through hirify.global, Bridgecrest, and SilverRock.

What you will do

  • Design, develop, and optimize scalable data processes and models using Snowflake, SQL, Python, and Kafka.
  • Build end-to-end data pipelines and near-real-time integrations for transactional applications, analytics, and external partners.
  • Apply performance optimization, data quality, dimensional modeling, and enterprise data architecture practices.
  • Implement data validation, automation, and integrations with Python and modern ELT workflows using dbt.
  • Develop workflow orchestration and CI/CD processes with Argo or similar platforms and GitHub or Azure DevOps.
  • Collaborate with engineers, product leaders, analysts, business teams, and vendor partners while mentoring teammates.

Requirements

  • 4+ years of experience in data engineering, analytics engineering, or a related data discipline.
  • Advanced SQL skills for transactional and analytical workloads, including experience with SQL Server and Snowflake.
  • Experience with Kafka, Confluent, CDC, Snowflake, end-to-end pipelines, and near-real-time data integration.
  • Strong knowledge of dimensional modeling, star schemas, normalized design, and enterprise data architecture.
  • Proficiency in Python, dbt, workflow orchestration, Git-based version control, and CI/CD practices.
  • Temporary visas and candidates requiring current or future sponsorship are not eligible; hiring requires successful background and drug screening.

Nice to have

  • Experience in an AI-first engineering environment and with agentic programming or AI-assisted development.
  • Experience applying AI and machine learning concepts to automation, predictive insights, anomaly detection, or intelligent workflows.
  • Background supporting operational applications, enterprise analytics platforms, vendor integrations, or external data exchange.
  • Experience in high-growth organizations focused on scalability, performance, and rapid delivery.

Culture & Benefits

  • Work from a home office in an approved city and state with reliable, secure internet and a quiet workspace.
  • Medical, dental, and vision insurance with company premium contributions.
  • 401(k), company-paid life insurance, and short- and long-term disability coverage.
  • Paid time off, wellness days, holidays, and professional growth opportunities.
  • Tuition reimbursement and a wellness program with coaching, incentives, and medical premium discounts.

Hiring process

  • Hiring is contingent on successful completion of background and drug screening.

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