Geospatial Data Engineer 2024
Apply NowCompany: salient predictions
Location: Boston, MA 02115
Description:
GEOSPATIAL DATA ENGINEER 2024
About Salient Predictions
We help farmers, energy generators, and insurers make better decisions with exceptionally accurate 2-52 week weather forecasts. Our award-winning machine learning is grounded in decades of research at MIT/WHOI to produce actionable insights. As a seed-stage venture-backed startup, we are growing rapidly and looking for curious and motivated creators so the world can forecast further.
Job Responsibilities
As a Geospatial Data Engineer you will collaborate with a team of engineers to connect Salient's best-in-class forecasts with downstream customer-facing use cases.
Interface meteorological data to existing or new hydrological, energy, and agricultural models
Acquire new data sets to complement Salient's existing archive
Drive model results with reliable, scalable pipelines
Deliver data to customers via API or user interface
Location
Remote OK
If US-based, prefer a resident of AK, CO, IL, MA, MN, NH, NJ, NY, NC, PA, OK, RI, TX, VA or WA
Job Requirements
Must-Have Qualifications:
Delivered projects that store and process geospatial data with the Pangeo stack
e.g. xarray, dask, Zarr, NetCDF, GRIB
Experience building and managing cloud Extract, Transform, Load (ETL) data flows
e.g. beam, docker, kubernetes, GCP, AWS
Experience with APIs and user interface toolkits
e.g. Flask, Mapbox, Highcharts
Nice-to-Have Qualifications:
Familiarity with meteorological and climate data
e.g. ERA, GFS, SEAS5, ISD, MERRA
Prior experience with hydrological models
e.g. VIC, SHyFT
Knowledge of source control (git), issue tracking (JIRA)
Previous experience with startups, agile/scrum, software teamwork
Level: Associate
3 years commercial or Master's-level academic experience
Benefits
Health and dental insurance
401(k) with match
Paid parental leave
Unlimited vacation
Hiring Process
At Salient, our no-surprises culture includes recruiting. We aim to create a delightful candidate experience so you are always fully informed and in control:
Introduction - hiring manager chat (30 min) & code assessment (2 hours)
Interview - present to the team, domain skills, coding, teamwork & values (3.5 hours)
Decision - rapid response & offer
Company Values
We are self-motivated. We take initiative. We are doers who take pride in getting things done, correctly. We do not compromise on performance.
We learn constantly. We listen to our customers and each other in service of continuous improvement. A sense of curiosity, honesty, and a beginner's mindset guide us as we solve the incredibly complex and important climate challenge we've embraced.
We collaborate to win. We want to win with and for our people and our customers. Our outcomes-oriented team is more than the sum of its parts.
We are mission-driven. Our work on climate resiliency matters, not just for our customers but for the planet and for the prosperity of future generations.
Equal Opportunity
Salient Predictions embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
About Salient Predictions
We help farmers, energy generators, and insurers make better decisions with exceptionally accurate 2-52 week weather forecasts. Our award-winning machine learning is grounded in decades of research at MIT/WHOI to produce actionable insights. As a seed-stage venture-backed startup, we are growing rapidly and looking for curious and motivated creators so the world can forecast further.
Job Responsibilities
As a Geospatial Data Engineer you will collaborate with a team of engineers to connect Salient's best-in-class forecasts with downstream customer-facing use cases.
Interface meteorological data to existing or new hydrological, energy, and agricultural models
Acquire new data sets to complement Salient's existing archive
Drive model results with reliable, scalable pipelines
Deliver data to customers via API or user interface
Location
Remote OK
If US-based, prefer a resident of AK, CO, IL, MA, MN, NH, NJ, NY, NC, PA, OK, RI, TX, VA or WA
Job Requirements
Must-Have Qualifications:
Delivered projects that store and process geospatial data with the Pangeo stack
e.g. xarray, dask, Zarr, NetCDF, GRIB
Experience building and managing cloud Extract, Transform, Load (ETL) data flows
e.g. beam, docker, kubernetes, GCP, AWS
Experience with APIs and user interface toolkits
e.g. Flask, Mapbox, Highcharts
Nice-to-Have Qualifications:
Familiarity with meteorological and climate data
e.g. ERA, GFS, SEAS5, ISD, MERRA
Prior experience with hydrological models
e.g. VIC, SHyFT
Knowledge of source control (git), issue tracking (JIRA)
Previous experience with startups, agile/scrum, software teamwork
Level: Associate
3 years commercial or Master's-level academic experience
Benefits
Health and dental insurance
401(k) with match
Paid parental leave
Unlimited vacation
Hiring Process
At Salient, our no-surprises culture includes recruiting. We aim to create a delightful candidate experience so you are always fully informed and in control:
Introduction - hiring manager chat (30 min) & code assessment (2 hours)
Interview - present to the team, domain skills, coding, teamwork & values (3.5 hours)
Decision - rapid response & offer
Company Values
We are self-motivated. We take initiative. We are doers who take pride in getting things done, correctly. We do not compromise on performance.
We learn constantly. We listen to our customers and each other in service of continuous improvement. A sense of curiosity, honesty, and a beginner's mindset guide us as we solve the incredibly complex and important climate challenge we've embraced.
We collaborate to win. We want to win with and for our people and our customers. Our outcomes-oriented team is more than the sum of its parts.
We are mission-driven. Our work on climate resiliency matters, not just for our customers but for the planet and for the prosperity of future generations.
Equal Opportunity
Salient Predictions embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.