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Principal Software Engineer (Data)

138 000 - 200 100$
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

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TL;DR

Principal Software Engineer (Data): Designing and modernizing enterprise data platforms and analytics solutions with an accent on scalable data engineering patterns and cloud-native architecture. Focus on leading complex data integration initiatives, optimizing ETL/ELT pipelines, and enabling high-performing data products for AI/ML use cases.

Location: Remote (Must be based in the US and authorized to work for any employer in the U.S.)

Salary: $138,000 - $200,100

Company

hirify.global is a financial services company focused on transforming financial lives through a flexible work environment and a commitment to inclusive growth.

What you will do

  • Lead the design and implementation of scalable data engineering solutions, including pipelines, data models, and analytics-ready products.
  • Drive the modernization of legacy reporting and ETL platforms into cloud-native, automated architectures.
  • Define and execute the technical roadmap for data engineering, platform modernization, and automation.
  • Establish engineering standards, reusable patterns, coding guidelines, and data quality controls.
  • Partner with architects and business stakeholders to translate requirements into resilient data solutions.
  • Mentor engineers in cloud data engineering, data modeling, and modern analytics practices.

Requirements

  • 12+ years of experience in software engineering, data engineering, or enterprise data platform development.
  • Must be authorized to work for any employer in the U.S. (No sponsorship, CPT, or OPT available).
  • Strong proficiency in Python, SQL, and distributed data processing (ETL/ELT).
  • Experience with cloud-based data platforms, including deployment, monitoring, and operational support.
  • Deep understanding of data modeling, warehousing, metadata management, and performance optimization.
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or equivalent.

Nice to have

  • Experience with Spark or similar large-scale data processing frameworks.
  • Proficiency with AWS cloud data services, Redshift, or Snowflake.
  • Familiarity with modern transformation tools like dbt.
  • Experience with SAP BusinessObjects Data Services and SAP Web Intelligence.
  • Certifications in Cloud, Data Architecture, or AI/ML.

Culture & Benefits

  • Medical, dental, vision, and life insurance.
  • 401(k) plan with company matching contributions up to 6%.
  • Tuition reimbursement up to $5,250 per year.
  • Generous PTO, including 10 paid company holidays and 3 floating holidays.
  • Paid parental leave and short/long-term disability programs.
  • 16 hours of paid volunteer time per calendar year.

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