Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$143к-179к/год
$160к$180кмедиана$200к
По похожим ролям (49) ~ $180к/год
На СНГ рынке: $3.7к/мес ($2.9к - $4.3к)
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Чётко описанная senior-позиция в необычной компании, работающей со спутниковыми данными, предлагает хорошие льготы, но зарплата ниже рыночного ориентира, а трудоустройство зависит от возможности работать с данными под экспортным контролем.
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Ниже рынкаОграничения по допускуСовременный стекЧёткая зона ответственностиСпутниковые данныеХороший пакет льгот
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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