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3 дня назад

Sr. Data Engineer

145 000 - 165 000$
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
Sr. Data Engineer (Python/Snowflake/dbt): Building and scaling secure, automated ETL/ELT pipelines, cloud data warehouse integrations, and reporting infrastructure with an accent on reliability, compliance, data quality, and cost efficiency. Focus on orchestrating batch and real-time workflows, strengthening observability and governance, and optimizing data platforms for analytics and business intelligence.

Location: Remote

Salary: $145,000–$165,000 base salary per year

Company

hirify.global is a global fertility and family care platform providing clinical programs, analytics, and care support to members worldwide.

What you will do

  • Architect, build, test, deploy, and maintain scalable ETL/ELT pipelines using Python, dbt, Prefect, and Airflow.
  • Administer and optimize Snowflake, AWS S3, Redshift, and Google Cloud data warehouse and lake platforms.
  • Design secure external data flows through SFTP, Files.com, and APIs, including monitoring, alerting, dependency management, and incident resolution.
  • Automate reporting and operational workflows with reusable pipeline components that improve reliability and reduce technical debt.
  • Partner with backend engineers and cross-functional stakeholders across Business Intelligence, Product, Finance, Legal, and Commercial.
  • Improve data quality, lineage, governance, documentation, version control, and engineering practices while mentoring teammates.

Requirements

  • Expert-level proficiency in Snowflake, dbt, and Python for data modeling, transformation, pipeline development, and analytics.
  • Advanced SQL skills for complex queries, large-scale data models, and database optimization.
  • Proven experience building and operating scalable automated ETL/ELT pipelines with modern orchestration tools.
  • Hands-on experience with cloud data platforms, including Snowflake, AWS, and Google Cloud.
  • Strong understanding of secure data exchange through SFTP, Files.com, and APIs, with attention to reliability and compliance.
  • Mastery of Git, GitHub, Jira, code review, structured workflows, and operational transparency.

Nice to have

  • Experience in startup or rapid-growth environments and regulated industries such as healthcare, healthtech, or SaaS.
  • Background supporting business intelligence, analytics, and data science teams through large-scale integrations and multi-tenant reporting.
  • Experience with batch and event-driven ingestion, near-real-time pipelines, and compliance frameworks such as SOC 2, HIPAA, GDPR, ISO, or SOX.

Culture & Benefits

  • Mission-driven work focused on expanding access to fertility and family-forming care.
  • Flexible time off, parental leave, and family-forming benefits.
  • Health and wellness benefits, retirement savings plans, short- and long-term incentives, equity, and competitive compensation.
  • Collaborative, inclusive, values-driven culture with a high-growth environment.

Hiring process

  • Recruiter screen followed by a hiring manager interview.
  • Cross-functional panel interviews and an executive leadership conversation.
  • Final hiring manager wrap-up.

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