Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше среднего
$153к-270к/год
$160к$180кмедиана$210к
По похожим ролям (49) ~ $180к/год
На СНГ рынке: $3.8к/мес ($3к - $4.4к)
92
Крутая вакансия
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Высокоуровневая роль в финтех-гиганте с современным стеком и впечатляющим масштабом данных. Всё - от прозрачности зарплаты до описания задач - сделано на высшем уровне.
Software Engineer, Data Platform (Python/Snowflake): Building and operating data-platform capabilities for warehousing, orchestration, business intelligence, governance, and agentic workflows with an accent on petabyte-scale data, reliability, security, and usability. Focus on developing Python services and Terraform infrastructure, establishing durable platform patterns, and leading cross-team engineering standards.
Location: Remote, Bay Area, California, United States
Salary: $153,000–$270,000 USD annually, depending on location zone and qualifications.
Company
hirify.global builds financial and commerce technology through brands including Square, Cash App, Afterpay, TIDAL, Bitkey, and Proto.
What you will do
Design, build, and operate data-platform capabilities covering data warehousing, orchestration, business intelligence tooling, and data governance.
Build reliable Python services and developer-facing tools that improve the creation and operation of data products.
Develop scalable infrastructure as code with Terraform.
Establish patterns for managing petabyte-scale data with strong governance, security, reliability, and usability.
Partner with data engineers, analysts, scientists, and product teams to turn their needs into durable platform capabilities.
Evaluate and build agentic workflows with appropriate controls and observability, while setting technical direction and mentoring engineers.
Requirements
Senior-level software engineering experience, strong Python skills, and a record of designing, shipping, and operating production systems.
Hands-on experience building or operating data platforms, data products, or large-scale data infrastructure.
Experience with Snowflake, Databricks, or comparable modern data platforms.
Experience with Terraform and infrastructure-as-code practices.
Practical understanding of petabyte-scale data tradeoffs involving performance, cost, reliability, access controls, lineage, quality, and governance.
Experience collaborating directly with data practitioners and understanding their workflows for turning data into decisions.
Strong technical judgment, clear communication, and the ability to lead across teams.
Culture & Benefits
Remote work with location-based compensation.
Medical insurance, flexible time off, retirement savings plans, and modern family-planning benefits.
Commitment to an inclusive workplace and reasonable accommodations throughout the interview process.
Use of automated AI tools in hiring with bias audits and handling of personal data under applicable privacy laws.
Hiring process
Candidates may submit up to nine active applications within a 60-day period.
Reapplications to the same role are accepted 90 days after a previous application has been reviewed.
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