Welcome to Planet. We believe in using space to help life on Earth.
Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.
Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.
As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.
We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.
Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, and The Netherlands.
About the Role:
Planet is seeking a Data Engineer to join its cross-functional Data team. The team is responsible for bringing best-in-class Data Products to Planeteers as we look to achieve our North Star over the next decade and enable every Planeteer to measure the impact of their work towards our triple-bottom-line (planet, people, profit). This role will be instrumental in designing and delivering Data Warehouses, Self-Service Tooling, Data Ops and Data Platform Solutions for multiple functional areas using modern cloud technologies. You will have the chance to combine a deep knowledge of business and technical mastery to own and deliver the right solution for the right business problem. This position is a hands-on Data Engineering role, with the core focus being on developing and deploying production-grade code, bringing the best of Product Management and DevOps practices to bear.
Impact You’ll Own:
- Design and implement robust, well-tested data pipelines and products that enable analytics, data science, and machine learning in a cloud environment supporting hundreds of concurrent users
- Collaborate with fellow data/analytics engineers to establish and uphold best practices around our data modeling, CI/CD, and self-service tooling offerings. Provide technical design and code reviews for peers within your team and across the broader org.
- Participate in design and architectural review sessions with the data team to ensure we provide accurate, usable data to analytics, data science and business users
- Contribute to the planning and execution of the data team roadmap alongside team, stakeholders and other engineers
- Keep current on big data, open source and and data visualization technology trends. Evaluate and work on proof-of-concepts to support merit-based recommendations on technologies
What You Bring:
- 3+ years of experience with SQL-based ETL development, data warehousing pipeline development and optimization with large data sets
- Experience with CI/CD and source control tooling (GitHub, GitLab)
- Experience with Python, Java, or equivalent scripting language.
- Experience with public cloud reference architectures and services, such as Google Cloud Platform or AWS
- Excellent communication and presentation skills and ability to work cross functionally through collaboration with engineering and business partners
- Superior organizational and analytical skills with hypothesis-driven problem solving and turning data into actionable insights
- Adaptability and openness to changes and challenges, and a self-starter can-do attitude
What Makes You Stand Out:
- Experience with DBT and GCP (especially GBQ, GCS, Pub/Sub)
- Experience implementing data platform and data development best practices, including solutions for CI/CD, Infrastructure as Code (e.g. Terraform), data access, observability, monitoring, and lineage
- Experience working first-hand in analytics and connecting business questions to underlying data products and data models
- Experience with geospatial datasets
- Experience working closely with Data Science and Machine Learning stakeholders and helping them get large data models productionized
Benefits While Working at Planet:
- Comprehensive Health Plan
- Wellness program and onsite massages in specific offices
- Flexible Time Off
- Recognition Programs
- Commuter Benefits
- Learning and Tuition Reimbursement
- Parental Leave
- Offsites and Happy Hours
- Volunteering Benefits
Compensation:
The US base salary range for this full-time position at the commencement of employment is $97,600 - $160,000. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
#LI-OT1
#LI-REMOTE
Why we care so much about Belonging.
We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging, dreaming big as we approach our ongoing work with diversity, equity and inclusion. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride.
EEO statement:
Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights.
Accommodations:
Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please call Planet's front office at 669-214-9404 or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.
Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
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