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5 дней назад

Senior Data Engineer (Geospatial)

142 800 - 178 500$
Формат работы
hybrid
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 (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 event-driven ETL/ELT solutions, optimizing Parquet storage for sub-second queries, and maintaining CI/CD workflows across Python, SQL, Docker, Kubernetes, and GCP.

Location: Hybrid role based in Arlington, Virginia, with work from the office 3 days per week.

Salary: $142,800–$178,500 USD annual base salary for US locations.

Company

hirify.global designs, builds, and operates a large constellation of imaging satellites and delivers satellite-derived data through a cloud-based platform for commercial, environmental, humanitarian, defense, and intelligence use cases.

What you will do

  • Architect and oversee robust, high-availability data pipelines for global monitoring products.
  • Design and implement end-to-end data architectures for mission-critical, customer-facing solutions.
  • Define standards for maintaining, troubleshooting, optimizing, and monitoring data ecosystems.
  • Partner with product, commercial, engineering, and leadership stakeholders on long-term data strategy.
  • Lead technical design reviews, mentor engineers, and maintain architectural and code-quality standards.
  • Build CI/CD, orchestration, automated QA, and production integrations for data systems.

Requirements

  • 6–8 years of relevant data engineering experience with a record of technical leadership.
  • Bachelor’s degree in a relevant field.
  • Expert proficiency in Python and SQL for complex ETL/ELT pipelines and event-driven data architectures.
  • Experience with enterprise-grade codebases, GitLab CI, Docker, Kubernetes, and cloud-native architectures, preferably GCP.
  • Experience tuning storage formats such as Parquet for sub-second query performance.
  • Strong communication, independent problem-solving, and ability to translate business requirements into technical solutions.

Nice to have

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

Culture & Benefits

  • Hybrid work environment with offices and remote employees across multiple countries.
  • Medical, dental, and vision plans, plus a company-supported HSA.
  • Paid time off, holidays, company-wide days off, and 16 weeks of paid parental leave.
  • Wellness and employee assistance programs.
  • Home-office, phone, internet, commuter, and tuition reimbursement benefits.
  • Equity, LinkedIn Learning access, and paid volunteering time off.

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