Senior Front End Engineer (FT)

Published date Posted on Indeed on Aug 27, 2022 (29 d ago)

Categories score:
front-end (6) front>end (6)
javascript (5) js (4) javascript (1)
design (2) graphic>design (1) ui>ux (0.5) user>experience (0.5)
reactjs (1) react (1)
nodejs (1) node (1)
css (1) css (1)
python (1) python (1)
Job Description:
  • Carbon Mapper is seeking an experienced front-end software engineer with strong UI/UX design and development experience to support the implementation of our Data Platform.
  • This engineer will work with our team to deliver elegant user workflows, beautiful design patterns and an intuitive user experience.
  • The ideal candidate would have experience with graphics design, prototyping, and development of Single Page Applications.
Required skills:
  • 5+ years of experience working in web application development.
  • 3+ years of experience with React.js and Node.js.
  • Demonstrable experience in graphic design and UI design.
  • In-depth knowledge of HTML, CSS and JavaScript.
  • In-depth knowledge of Document Object Model.
  • Experience with build and deployment automation.
  • Some familiarity with Python and Bash.
  • Understanding of network protocols, MVC and client/server architecture.
  • Experience working and communicating directly with clients on projects.
  • Proactive problem-solving skills.
  • Strong writing and documentation skills.
Desired Skills:
  • Geospatial data visualization experience (GIS, MapboxGL, Leaflet, D3.js).
  • Figma, Gatsby.js.
  • A passion for climate change action.
Salary Range: $140,000-$165,000 USD annually (full time), depending on experience.
Hours: This is a full-time salaried position (40 hours per week). You are expected to be available Monday through Thursday 9 am - 3 pm PT. The remaining time is flexible based on your assigned projects and deadlines. Some after-hours and weekend work may be required to meet deadlines.
Location:
Carbon Mapper has a distributed team with both in-person and remote workers. All employees will attend quarterly all-hands meetings at the Carbon Mapper office in Pasadena, CA (1-2 days per quarter). Local employees may request an assigned desk in the Carbon Mapper office if they prefer a hybrid remote and in-person work schedule.
Benefits: Carbon Mapper offers comprehensive health/dental/vision benefits for employees and dependents, 401K retirement benefits with employer contributions, and company-paid life insurance.
Carbon Mapper is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other characteristic protected by law.
Application requirements: please send your resume, including design examples from your portfolio (URLs or PDF), and cover letter to careers@carbonmapper.org



About Carbon Mapper:

Carbon Mapper is a non-profit organization with a public-good mission to detect, pinpoint, quantify and track 80% of the world’s methane and carbon dioxide (CO2) point source emissions. Our mission is to aid in the acceleration of climate mitigation efforts globally at the scale of individual facilities. The Carbon Mapper public-private partnership includes Planet Labs, Inc., the California Air Resources Board, the University of Arizona, Arizona State University, and NASA’s Jet Propulsion Laboratory (JPL). Carbon Mapper uses advanced imaging spectroscopy remote sensing on satellites and airborne assets to detect and analyze methane and carbon dioxide emissions around the world and provide information data products to inform decision makers as well as the general public. As part of its public education and research support activities, Carbon Mapper will provide a global open data portal, including a data trust and a website offering rapid visualization and interpretation for both expert and non-expert audiences. Carbon Mapper also supports advances in science algorithms, machine learning, and big data for remote sensing through multi-source analytics, cloud computing, open-source development, and geospatial analytics.


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