Hacker News: chofmann

New comment by chofmann in "Ask HN: Who is hiring? (May 2026)"

chofmann — Fri, 01 May 2026 17:30:24 +0000

Yes! We are remote first and open to hiring in most places. Please apply!

New comment by chofmann in "Ask HN: Who is hiring? (May 2026)"

chofmann — Fri, 01 May 2026 16:04:37 +0000

Mapbox is hiring a Geospatial Data Engineer on our Boundaries team. We use postgis, trino and iceberg to build and validate topologically accurate geodata.

Full job description is here: https://jobs.ashbyhq.com/Mapbox/2fc1e9b6-8d13-4cb6-8271-a2f6...

New comment by chofmann in "Ask HN: Alternative to Mint.com?"

chofmann — Tue, 06 Feb 2024 15:59:29 +0000

Came here to say this. YNAB is awesome.

New comment by chofmann in "Ask HN: Who is hiring? (July 2021)"

chofmann — Thu, 01 Jul 2021 19:22:40 +0000

Mapbox | DC, SF, Remote | Hiring for a Geospatial Data Engineer, primarily working in PostGIS and python. https://boards.greenhouse.io/mapbox/jobs/3166554?gh_jid=3166...

New comment by chofmann in "Ask HN: Who is hiring? (June 2021)"

chofmann — Tue, 01 Jun 2021 16:55:33 +0000

Mapbox | DC, SF, Remote | Hiring for a Geospatial Data Engineer, primarily working in PostGIS and python. https://boards.greenhouse.io/mapbox/jobs/3166554?gh_jid=3166...

Data Visualization of Planet Labs' Satellites

chofmann — Thu, 01 Aug 2019 12:26:02 +0000

Article URL: https://nbremer.github.io/planet-globe/

Comments URL: https://news.ycombinator.com/item?id=20583134

Points: 1

# Comments: 0

New comment by chofmann in "Ask HN: Who is hiring? (November 2018)"

chofmann — Fri, 02 Nov 2018 15:42:09 +0000

thanks @austinwm! Feel free to reach out to me for more info (chofmann wri.org) and be sure to check out our Github: https://github.com/gfw-api/. Thanks!

New comment by chofmann in "Ask HN: Who is hiring? (November 2018)"

chofmann — Thu, 01 Nov 2018 15:23:54 +0000

Global Forest Watch | DC | Full-Time | https://globalforestwatch.org/

Global Forest Watch is a dynamic platform that’s changing the future of forest monitoring. We use machine learning and expert analysis to distill satellite imagery, crowdsourced information, and hundreds of open datasets into actionable insights and policy-relevant information about forests worldwide. Our stack uses Elasticsearch to store and query large datasets, Hadoop to pre-calculate tree cover totals within global administrative boundaries, and AWS Lambda to tabulate statistics on raster datasets for user-drawn areas of interest.

Open roles:

- Flask/Express Software Engineer: https://www.indeed.com/viewjob?jk=b6f4d84a28740d00

- API Manager: https://www.indeed.com/viewjob?jk=d266e64e0f9ddb12