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Senior Data Engineer (FedRAMP)

112 500 - 189 626$
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

Senior Data Engineer (FedRAMP): Building and optimizing core data platform capabilities for identity governance with an accent on batch and streaming pipelines, graph-oriented storage, and large-scale data warehousing. Focus on designing scalable architectures for billions of nodes and edges, ensuring low-latency performance, and leading cross-team technical initiatives.

Location: Remote within the United States. US Citizenship is required due to FedRAMP requirements.

Salary: $112,500 – $189,626 USD

Company

hirify.global is an industry leader in identity governance, providing unified visibility and policy-driven action for identities and sensitive data.

What you will do

  • Lead the architecture and implementation of scalable ETL/ELT pipelines and data services.
  • Own technical strategy for core data domains and align roadmaps across partner teams.
  • Optimize graph-serving data models and access patterns for responsive, large-scale visualizations.
  • Drive performance and cost improvements across Spark, Flink, SQL, and CQL workloads.
  • Provide high-signal code and architecture feedback through design reviews.
  • Participate in on-call rotations for critical systems and lead incident follow-throughs.

Requirements

  • US Citizenship is required for this position.
  • 5+ years of experience in software development with substantial time in data engineering at SaaS scale.
  • 4+ years of experience owning architecture for commercial data platforms.
  • Expert experience with Snowflake data modeling and query optimization.
  • Strong hands-on experience with dbt, Airflow, and distributed processing patterns.
  • Strong experience with Cassandra and familiarity with graph-oriented data systems.
  • Practical experience using AI-assisted software development tools in a professional workflow.

Nice to have

  • Experience running data platforms with modern observability tools like Grafana, Prometheus, or Datadog.
  • Familiarity with IAM/IGA, compliance, or security-sensitive product domains.
  • Experience with Kubernetes, infrastructure-as-code, and continuous delivery.
  • Familiarity with data lake patterns and Spark/Flink operational tuning.

Culture & Benefits

  • Comprehensive health, dental, and vision insurance.
  • 401(k) Savings and Investment Plan with company matching.
  • Flexible vacation policy and 8 paid holidays annually.
  • Paid parental leave and sick leave.
  • Financial security benefits including life insurance and disability coverage.
  • HSA with employer contribution.

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