{"id":854884,"url":"https://alion.io/job/firststreet-senior-data-engineer","title":"Senior Data Engineer","company":{"id":674986,"name":"First Street","domain":"firststreet.org","url":"https://alion.io/company/firststreet-2","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":175000,"currency":"USD","period":"year","gross":null,"usd_annual":175000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"GDAL","optional":false},{"name":"Git","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-04-07T15:18:22Z","employer_posted_date":"2026-04-07","last_verified_at":"2026-11-04T01:27:23Z","board_verified":true,"closed_at":null,"days_open":210,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":209},"description":"Company & Mission Overview:\nOur mission: We exist to connect climate and financial risk.\nWho we are: First 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, including Innovation Endeavors, Galvanize, General Catalyst, and others, our team has raised millions to change how the global economy thinks about climate change.\nRead more about our culture here and see what Climate Risk Financial Modeling is all about here.\nOur data: 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.\nOur customers: We aim to incorporate climate risk data into every financial decision made today. We are relied on every day by:\nInstitutional investors like Norges Bank Investment Management and Blackstone.\n\nBanking enterprises, including Bank of America and Fifth Third.\n\nGovernment bodies ranging from Fannie Mae to the US State of Connecticut.\n\nMillions of everyday users on Zillow, Redfin, Realtor.com, Homes.com, and more.\n\nCome join us and use your talents to change the world.\nTeam & Role Overview\nWe 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.\nWhat you’ll do:\nProvide technical support in the processing, analysis, and interpretation of geospatial observations and modeling data.\n\nDevelop and implement processes for processing large volumes of hazard prediction data to improve risk assessment quality and accuracy.\n\nPlan, execute and workflows on local and cloud-based environments, using technologies such as GDAL, PostgreSQL, Python, Spark\n\nAnalyze raster and vector data at scale to improve model accuracy, identify quality control issues, and develop suggested remedies for identified issues.\n\nPerform statistical analysis to validate hazard model predictions and assess model uncertainties.\n\nDesign and implement quality assurance checks on the climate risk data and derived statistics\n\nAssist in resolution of customer support issues through quality control checks and explanation of the models and risk statistics\n\nWhat you’ll need:\nBachelor's Degree in Data or Climate Science, or a related field\n\n5+ years of professional experience\n\nData operations: Experience with the design and use of databases, such as PostgreSQL\n\nProgramming: Proficiency with SQL queries to efficiently and reproducibly analyze complex datasets preferred. Additional languages like Python also required.\n\nGIS knowledge: Experience with writing software to efficiently process and analyze with geospatial data using open source tools\n\nStrong understanding of probability and statistics as applied to spatial data\n\nExpertise using scripted languages to build data pipelines on both local and cloud-based systems\n\nProficiency with source control platforms such as Git\n\nA science-based approach with a high degree of concern for reliability, accuracy and reproducibility\n\nExperience in GIS and/or geospatial statistical analysis\n\nNice to have: experience in DBT and Spark\n\nWhat will make you stand out:\nPrevious experience in the physical sciences\n\nMasters Degree Preferred Our 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.\n\nHow we work:\nImpact: We only focus on things that move the needle\n\nDrive: We are driven by the role we play in connecting climate change to financial risk\n\nOwnership: This is our company and we act accordingly\n\nUrgency: We move quickly because the world depends on it\n\nResilience: We have a growth mindset in all that we do\n\nWhat we offer:\nCompetitive salary commensurate with experience\n\nOwnership interest in the company via Employee Stock Option Plan\n\nHybrid Schedule with in-office work days on Monday, Wednesday and Thursday\n\n15 vacation days along with 8 statutory company holidays, 5 days for winter break office closure, and 10 sick days\n\nHealthcare monthly premium covered at 100% for employee or a significant contribution for family plans\n\nVision and dental benefits with partial employee contribution\n\n12 weeks of paid parental leave\n\nAccess to One Medical, Teledoc, HealthAdvocate, Kindbody, and Talkspace\n\nCompany 401k program\n\nCommuter benefits\n\nLife Insurance\n\nTech startup environment\n\nWeekly team meals and an office stocked with coffee and snacks\n\nWorking on the world’s biggest issue with other passionate professionals\n\nWe 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.\nOnce you've applied, please be sure to check your spam folder, as emails from our recruiting team are sometimes rerouted.","description_format":"text","description_chars":6315,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Life insurance","Parental leave","Stock options"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","ESG & Carbon Accounting Software","Financial Data & Market Intelligence"],"lifecycle":[{"event":"open","at":"2026-09-13T05:41:44Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.275,"p_room":0.28,"age_days":209,"expected_fill_days":36,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-11-03T05:54:40Z"},"pay":{"stated_usd_annual":175000,"is_top_pay":true},"html_url":"https://alion.io/job/firststreet-senior-data-engineer","json_url":"https://alion.io/job/firststreet-senior-data-engineer.json","meta":{"generated_at":"2026-11-04T02:16:34Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3419,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":674986},"rest":"https://alion.io/mcp/rest/get_company?id=674986"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffirststreet-senior-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ffirststreet-senior-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ffirststreet-senior-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/firststreet-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffirststreet-senior-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":854884}},{"tool":"search_jobs","arguments":{"company":"firststreet.org","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":854884},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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