Senior Data Engineer

Senior Data EngineerFirst Street is the standard for Climate Risk Financial Modeling. For over a decade, we've been translating climate risk into decision-useful financial outcomes for investors, businesses, communities, and property owners worldwide. With backing from world-class firms, our team has raised millions to change how the global economy thinks about climate change.We've assembled leading climate scientists and economists to develop transparent, peer-reviewed methodologies to calculate the past, present, and future climate risk for properties and asset classes spanning real estate, infrastructure, and companies. Using physics-based deterministic models, we predict the likelihood of floods, wildfires, hurricanes, and other hazards at any location on Earth, along with associated damage and downtime.We aim to incorporate climate risk data into every financial decision made today. We are relied on every day by institutional investors like Norges Bank Investment Management and Blackstone, banking enterprises, including Bank of America and Fifth Third, government bodies ranging from Fannie Mae to the US State of Connecticut, and millions of everyday users on Zillow, Redfin, Realtor.com, Homes.com, and more.Come join us and use your talents to change the world.Team & Role OverviewWe are looking for a Senior 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 databases and pipelines coordinate and synchronize with APIs, and web services. This individual's expertise and leadership will enable all members of the Data Operations team to be successful in their roles.What You'll DoProvide 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 workflows on local and cloud-based environments, using technologies such as GDAL, PostgreSQL, Python, SparkAnalyze 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 statisticsAssist in resolution of customer support issues through quality control checks and explanation of the models and risk statisticsWhat You'll NeedBachelor's Degree in Data or Climate Science, or a related field5+ years of professional experienceData operations: Experience with the design and use of databases, such as PostgreSQLProgramming: Proficiency with SQL queries to efficiently and reproducibly analyze complex datasets preferred. Additional languages like Python also required.GIS knowledge: Experience with writing software to efficiently process and analyze with geospatial data using open source toolsStrong understanding of probability and statistics as applied to spatial dataExpertise using scripted languages to build data pipelines on both local and cloud-based systemsProficiency with source control platforms such as GitA science-based approach with a high degree of concern for reliability, accuracy and reproducibilityExperience in GIS and/or geospatial statistical analysisNice to have: experience in DBT and SparkWhat Will Make You Stand OutPrevious experience in the physical sciencesMasters Degree PreferredOur Anticipated CompensationOur anticipated US base salary compensation range for this role is $100,000-175,000 plus stock options and a competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Actual compensation will vary depending on factors such as work location as well as additional factors such as a candidate's qualifications, skills, experience, competencies, and relevant education. Your recruiter can share more about the specific salary range for your location during the hiring process.How We WorkImpact: We only focus on things that move the needleDrive: We are driven by the role we play in connecting climate change to financial riskOwnership: This is our company and we act accordinglyUrgency: We move quickly because the world depends on itResilience: We have a growth mindset in all that we doWhat We OfferCompetitive salary commensurate with experienceOwnership interest in the company via Employee Stock Option PlanHybrid Schedule with in-office work days on Monday, Wednesday and Thursday15 vacation days along with 8 statutory company holidays, 5 days for winter break office closure, and 10 sick daysHealthcare monthly premium covered at 100% for employee or a significant contribution for family plansVision and dental benefits with partial employee contribution12 weeks of paid parental leaveAccess to One Medical, Teledoc, HealthAdvocate, Kindbody, and TalkspaceCompany 401k programCommuter benefitsLife InsuranceTech startup environmentWeekly team meals and an office stocked with coffee and snacksWorking on the world's biggest issue with other passionate professionalsWe 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.