Senior Data Engineer, Climate Risk GIS Pipelines

firststreet; New York (NY); Hybrid; USD 100,000 - 175,000; Full time

Benefits offered by this job

15 vacation days

Healthcare premium covered

Employee Stock Option Plan

Paid parental leave

Commuter benefits

Job summary

Firststreet in New York, NY, is seeking a Senior Data Engineer who is passionate about data and climate risk. The role involves developing data pipelines and performing statistical analyses to enhance climate modeling accuracy.

The ideal candidate will have a Bachelor's Degree in a related field and over 5 years of experience in data operations, along with knowledge in GIS and databases like PostgreSQL. A competitive salary and comprehensive benefits package are offered, including stock options and a hybrid work schedule.

Qualifications

• 5+ years of professional experience in data engineering or climate science.
• Experience with large data processing and geospatial data.
• Knowledge of statistical analysis and model validation.

Responsibilities

• Provide technical support in the analysis of geospatial observations.
• Develop and implement data processing workflows.
• Perform statistical analysis to validate and enhance model predictions.

Skills

Data operations experience

Proficiency in SQL

GIS knowledge

Understanding of probability and statistics

Expertise in data pipeline building

Source control using Git

Education

Bachelor's Degree in Data or Climate Science

Tools

PostgreSQL

Python

Spark

GDAL

Job description

Firststreet in New York, NY, is seeking a Senior Data Engineer who is passionate about data and climate risk. The role involves developing data pipelines and performing statistical analyses to enhance climate modeling accuracy.

The ideal candidate will have a Bachelor's Degree in a related field and over 5 years of experience in data operations, along with knowledge in GIS and databases like PostgreSQL. A competitive salary and comprehensive benefits package are offered, including stock options and a hybrid work schedule.