3 дня назад
Senior Data Engineer (Geospatial)
160 600 - 200 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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