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3 дня назад

Senior Data Engineer (Geospatial)

160 600 - 200 800$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Netherlands/Germany +2 еще
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 (Geospatial): Building and evolving enterprise-scale data ecosystems and high-availability pipelines for global monitoring products with an accent on cloud-native architecture, data integrity, and customer-facing production systems. Focus on designing end-to-end ETL/ELT solutions, implementing CI/CD and orchestration, optimizing Parquet-based storage, and supporting defense and intelligence decision-making.

Location: Hybrid in the Washington, DC or Denver, CO office three days per week; United States

Salary: $160,600–$200,800 USD annual US national base salary range. New York City and California: $172,200–$215,200; San Francisco: $182,900–$228,600.

Company

Designs, builds, and operates a large constellation of imaging satellites and delivers cloud-based Earth observation data for commercial, environmental, humanitarian, defense, and intelligence applications.

What you will do

  • Architect and oversee robust, high-availability data pipelines and production data ecosystems.
  • Define standards for maintaining, troubleshooting, optimizing, and monitoring data systems.
  • Partner with Product, Commercial, Engineering, and other global stakeholders on long-term data strategy.
  • Design and implement end-to-end data solutions, from architecture and coding through CI/CD, orchestration, automated QA, and production integration.
  • Lead technical design reviews, mentor data engineers, and maintain architectural and code-quality standards.
  • Support global monitoring products used by defense and intelligence customers.

Requirements

  • 10+ years of relevant data engineering experience with technical leadership experience.
  • Bachelor’s degree in a relevant field.
  • Expert Python and SQL skills for complex ETL/ELT pipelines, including event-driven data architectures.
  • Experience designing global-scale, customer-facing data architectures with strong data integrity and efficiency.
  • Experience with enterprise-grade peer-reviewed codebases and CI/CD workflows using GitLab CI, Docker, and Kubernetes.
  • Significant cloud-native architecture experience, preferably with GCP, and experience tuning Parquet storage for sub-second query performance.

Nice to have

  • Experience with modern data tooling such as dbt.
  • Experience managing cloud architecture with Infrastructure as Code tools such as Terraform.
  • Experience architecting solutions for geospatial datasets.
  • Knowledge of Earth observation or satellite operations.

Culture & Benefits

  • Medical, dental, and vision plans, with an HSA and company contribution.
  • Paid time off, holidays, company-wide days off, and 16 weeks of paid parental leave.
  • Wellness and employee assistance programs.
  • Home office, phone, internet, and local commuter reimbursements.
  • Tuition reimbursement, LinkedIn Learning access, equity, and paid volunteering time off.
  • Access to export-controlled information is contingent on eligibility without additional export licensing.

Hiring process

  • Selected interviews may be recorded with candidate consent using an AI notetaker; opting out is permitted.
  • AI tools are prohibited during live interviews and assessments unless explicitly authorized.

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