6 часов назад
Data Engineer I (Space)
80 000 - 115 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer I (Python/SQL): Building and maintaining data pipelines, ingestion workflows, transformations, and data products on modern cloud data platforms with an accent on software engineering practices, testing, and CI/CD. Focus on developing reliable data solutions, troubleshooting complex technical problems, and applying AI-assisted engineering tools in a fast-paced space technology startup.
Location: Hybrid work in Denver, CO, or Long Beach, CA, with at least 3 days per week in the office and additional onsite requirements as business needs require.
Base salary: $80,000–$110,000 in Denver or $85,000–$115,000 in Long Beach, plus equity and benefits.
Company
develops autonomous spacecraft, advanced payloads, mission software, and space-based interceptors for space superiority and U.S. and allied defense missions.
What you will do
- Build and maintain data pipelines, data products, and data solutions using Python, SQL, and modern cloud data platforms.
- Develop, test, and troubleshoot data ingestion, transformations, and workflows.
- Apply Git, automated testing, and CI/CD software engineering practices.
- Use AI-assisted engineering tools to improve development and testing productivity.
- Collaborate with senior and principal data engineers and cross-functional stakeholders to deliver reliable data solutions.
Requirements
- 0–2 years of experience in data engineering or software engineering.
- Bachelor’s or master’s degree in computer science, data science, or a related technical field.
- Excellent Python programming skills and reasonable knowledge of SQL.
- Strong software engineering, problem-solving, initiative, curiosity, and ability to learn quickly.
- Must work from the Denver or Long Beach office under the hybrid schedule.
- Must be a U.S. citizen, lawful permanent resident, protected individual, or eligible to obtain the required ITAR authorizations. Visa sponsorship is not available.
Nice to have
- Internship, research, or personal project experience in software or data engineering.
- Exposure to cloud data platforms.
- Experience with Spark, Airflow, dbt, Kafka, or similar technologies.
- Experience using AI-enabled development tools and technologies.
Culture & Benefits
- Fast-paced, high-performance startup environment with opportunities for rapid growth.
- Health, dental, vision, and HRA/HSA options.
- Paid time off, paid holidays, and parental leave.
- 401(k) and equity participation.
- Hands-on work supporting space technology and defense missions.
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