Data Engineer
Who we are: First Street is the industry standard for physical climate risk data. We use transparent and peer-reviewed methodologies to calculate the past, present, and future climate risk for every property in the world. We started eight years ago by working with the world’s leading climate scientists to create groundbreaking, climate-adjusted, property specific models and haven’t stopped.
Our mission: We exist to connect climate change to financial risk
Our data: We create physics-based, deterministic models of flooding, wildfire and hurricanes, and advanced statistical models of extreme heat, air quality, drought, hail, severe convective storms, winter storms, and more. All of this data is used to create property-level financial risk metrics and macroeconomic variables to quantify the impacts of climate change.
Our customers: We empower governments at the highest levels to make smart regulations, businesses to avoid bad investments, and everyday Americans to understand their personal risk from climate change. We are relied on every day by:
Agencies ranging from the U.S. Department of Treasury to Fannie Mae
The world's biggest banks such as Bank of America and Wells Fargo
Institutional investors like Nuveen and Blackstone
Millions of users on Redfin, Realtor.com, Homes.com, and more
We believe: Our work needs to match the pace and scope of the climate problem. This is why we have invested tens of millions of dollars into our science, data, people, and products and have raised tens of millions more to move even faster. Read more about our culture here.
Come join us and use your talents to create solutions to address humanity's biggest problem.
Team & Role Overview
We are looking for a Data Engineer to join our team. The successful candidate will be someone who deeply cares about the environment, loves information technology, and appreciates the importance of data for the success of the First Street mission. They will assist in the ingestion of climate risk and ancillary data from First Street modelers and data partners, develop data pipelines, query geospatial databases, calculate applicable statistics, implement Quality Assurance and Quality Control processes, utilize geographical imagery, and ensure that the Data Team’s databases and pipelines are coordinated and synchronized with the Software Engineering Team’s databases, APIs, and web services. This individual will be responsible for developing data operations across the Data Team, and through their expertise and leadership generally enabling all members of the Data Team to be successful in their roles.
What you’ll do:
Provide technical support in the processing, analysis, and interpretation of geospatial observations and modeling data.
Develop and implement processes for processing large volumes of hazard prediction data to improve risk assessment quality and accuracy.
Plan, execute and direct Unix-based workflows on local and cloud-based clusters, using GDAL, PostgreSQL, Python and related technologies.
Analyze raster and vector data at scale to improve model accuracy, identify quality control issues, and develop suggested remedies for identified issues.
Perform statistical analysis to validate hazard model predictions and assess model uncertainties.
Design and implement quality assurance checks on the climate risk data and derived statistics
Assist in resolution of customer support issues through quality control checks and explanation of the models and risk statistics
What you’ll need:
Bachelor's Degree in Data or Climate Science, or a related Field
3+ year of professional experience
Data operations: Experience with the design, and use of databases, such as PostgreSQL
Programming: Proficiency with SQL queries to efficiently and reproducibly analyze complex datasets preferred. Python is also required.
GIS knowledge: Experience with writing software to efficiently process and analyze with geospatial data using open source tools
Strong understanding of probability and statistics as applied to spatial data
Expertise using scripted languages to build data pipelines on both local and cloud-based systems
Experience with big data analysis, parallel processing, and batch/spot workflows on cloud platforms including AWS, GCP, and/or Azure
Proficiency with source control platforms such as Git
A science-based approach with a high degree of concern for reliability, accuracy and reproducibility
Experience in GIS and/or geospatial statistical analysis
What will make you stand out:
Previous experience in the physical sciences
Masters Degree Preferred
How we work:
Impact: We only focus on things that move the needle
Drive: We are driven by the role we play in connecting climate change to financial risk
Ownership - This is our company and we act accordingly
Urgency: We move quickly because the world depends on it
Resilience: We have a growth mindset in all that we do
What we offer:
Competitive salary commensurate with experience
Ownership interest in the company via Employee Stock Option Plan
Hybrid Schedule with in-office work days on Monday, Wednesday and Thursday
15 vacation days along with 13 company holidays and 10 sick days
Health benefits covered at 100% for employee or a significant contribution for family plans
Vision and dental benefits with partial employee contribution
12 weeks of paid parental leave
Access to One Medical, Teledoc, HealthAdvocate, Kindbody, and Talkspace
Company 401k program
Commuter benefits
Life Insurance
Tech startup environment
Weekly team meals and an office stocked with coffee and snacks
Working on the world’s biggest issue with other passionate professionals
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.