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Job Description
The Data Engineer at Planet is responsible for designing, building, and maintaining enterprise ETL pipelines and data tooling using cloud technologies, collaborating with stakeholders to deliver robust data solutions and insights to support decision-making and operational needs.
Key Responsibilities
- Design and build enterprise ETL pipelines and self-service data tooling using cloud technologies
- Collaborate with stakeholders to understand data needs and deliver solutions
- Develop, maintain, troubleshoot, and improve data pipelines
- Create data architecture, implement CI/CD processes, and orchestrate data workflows
- Build data visualizations and insights to support decision-making and monitoring
- Review and provide feedback on technical design and code within the team
Requirements
- 4 years of relevant experience in data engineering or a similar field
- Bachelor's degree in a relevant field
- Experience in Python and SQL
- Experience with building, maintaining, and debugging ETL pipelines
- Experience with maintaining peer-reviewed code and building and debugging CI/CD pipelines
- Familiarity with cloud architectures and services, such as Google Cloud Platform or AWS
- Knowledge of geospatial datasets and event-based data architectures
- Ability to communicate and collaborate across teams
- Good organizational skills and ability to execute multiple projects
Benefits & Perks
Paid time off including vacation, holidays and company-wide days off
Employee Wellness Program
Home Office Reimbursement
Monthly Phone and Internet Reimbursement
Tuition Reimbursement and access to LinkedIn Learning
Equity
Volunteering Paid Time Off
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