{"id":2526502,"url":"https://alion.io/job/superhuman-data-engineer-finance-2","title":"Data Engineer, Finance","company":{"id":4056,"name":"Superhuman","domain":"superhuman.com","url":"https://alion.io/company/superhuman","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":17,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":157000,"max":245000,"currency":"USD","period":"year","gross":null,"usd_annual":245000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Delta Lake","optional":false},{"name":"Git","optional":false},{"name":"Go","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Stripe","optional":true}],"status":"live","first_seen_at":"2026-09-18T19:25:52Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-17T15:55:29Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"description":"Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.\nPreferred locations for team members for our Data Platform roles are our San Francisco or Seattle hubs.\nAbout Superhuman\nGrammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company's products include Grammarly's writing assistance, Docs’ collaborative workspace, Mail's inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here.\nThe Opportunity\nWant to build the data foundations behind how Superhuman measures and grows its business? As a Data Engineer on the Finance & Revenue team, you’ll own the pipelines, models, and datasets that power revenue reporting across Superhuman’s AI-native productivity platform: Grammarly’s writing assistance, Mail, Docs, Databases, and Go. You’ll partner closely with Finance, Revenue Operations, Analytics, and Engineering to turn billing, bookings, customer, and product-usage signals into reliable, decision-grade data.\nSuperhuman is a compound startup: we build many products as one integrated suite rather than standalone tools. That model creates an unusually rich and complex revenue data opportunity, with signals spanning billing systems, self-serve and enterprise motions, and cross-product customer usage. The data you model connects those surfaces to create a unified view of ARR, NRR, bookings, and revenue performance across the Superhuman Suite.\nThis is a high-ownership, high-impact role at the intersection of data engineering, finance, and business strategy. You’ll own revenue-critical systems end-to-end and contribute to the revenue attribution model, ensuring the company’s most visible financial datasets are precise, accessible, and trusted. Your work will directly shape how leadership understands business performance and makes investment decisions.\nWhat you’ll do\nDesign, build, and own scalable data pipelines (Spark/Databricks) that ingest and model billing, subscription, payment, and bookings data across the Superhuman Suite.\n\nBuild and maintain the foundational datasets for ARR, NRR, bookings, and other revenue metrics, ensuring the company has a consistent, trusted view of financial performance.\n\nContribute to the revenue attribution model by building and maintaining the underlying datasets that connect product usage, customer lifecycle, and commercial signals into an explainable view of business performance.\n\nModel revenue data into clean, well-documented, reusable tables that Finance, Revenue Operations, analysts, and business partners can self-serve from.\n\nOwn data quality, freshness, and reliability for revenue-critical datasets, with automated checks, monitoring, alerting, and reconciliation processes.\n\nPartner with Finance, Revenue Operations, Analytics Engineering, Product, and Engineering to translate business questions into robust data models and trustworthy metrics.\n\nContinuously improve the performance, cost efficiency, and developer experience of our finance and revenue data platform.\n\nYou’ll do this alongside partners across Finance, Revenue Operations, Analytics Engineering, Product, and Engineering. We think from first principles, challenging the familiar to reframe problems and reach sharper solutions, and win with grit, staying with the hardest problems through the messy middle. You’ll have the freedom to own your systems and directly influence the roadmap, and the complexity of what you build will grow quickly as we scale.\nQualifications\nYou have 3+ years of experience building and operating production data pipelines and data platforms, ideally supporting finance, revenue, billing, or other business-critical analytical use cases.\n\nYou’re highly proficient in SQL and have strong data engineering foundations, with hands-on experience in Spark and a modern lakehouse or cloud data warehouse (Databricks, Delta Lake, dbt, Snowflake, or similar).\n\nYou have strong data modeling and data warehouse design skills, with the ability to transform complex business processes and source-system data into clear, reliable, and reusable datasets.\n\nYou bring a rigorous approach to data quality, precision, observability, and reconciliation, especially for datasets used in revenue reporting and business decisions.\n\nYou have experience with workflow orchestration and CI/CD for data (for example, Databricks Workflows or Airflow, with Git-based deployment).\n\nYou’re comfortable using AI-assisted development tools like Codex or Claude Code to move faster, and you have the judgment to validate and supervise their output.\n\nYou communicate clearly and collaborate effectively with business partners, analysts, engineers, and leadership, translating smoothly between technical and business audiences.\n\nYou care about business impact and enjoy turning ambiguous finance and revenue questions into reliable, scalable data products and trustworthy metrics.\n\nYou’re a self-starting problem-solver who thinks from first principles, manages priorities across multiple projects, and thrives in a fast-paced, results-driven environment.\n\nNice to have\nDirect experience supporting Finance, Revenue Operations, or revenue analytics, including metrics such as ARR, NRR, bookings, billing, or revenue attribution.\n\nExperience ingesting or modeling data from Stripe or similar billing, payments, ERP, or subscription-management systems.\n\nExperience working with product-usage data, usage-based billing, or attribution models.\n\nA track record of building well-documented, self-serve data products that business and analytics teams rely on.\n\nCompensation and Benefits\nSuperhuman offers all team members competitive pay along with a benefits package encompassing the following and more:\nExcellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)\n\nDisability and life insurance options\n\n401(k) and RRSP matching\n\nPaid parental leave\n\n20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time\n\nGenerous stipends (including those for caregiving, pet care, wellness, your home office, and more)\n\nAnnual professional development budget and opportunities\n\nSuperhuman takes a market-based approach to compensation, so base pay may vary by location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.\nFor more information about our compensation zones and locations where we currently support employment, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information.\nBase pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined by compensation zone and may be modified in the future.\nWe encourage you to apply\nAt Superhuman, we value our differences, and we encourage all to apply-especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).","description_format":"text","description_chars":8052,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Home office","Hybrid work","Life insurance","Parental leave","Professional development"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["LLM & Generative AI","Office & Productivity Software"],"lifecycle":[{"event":"open","at":"2026-10-14T12:24:37Z"}],"visa":[],"liveness":{"score":53,"band":"ok","label":"Likely open","p_open":1,"p_active":0.587,"p_room":0.9,"age_days":28,"expected_fill_days":48,"reasons":["conf:2","stale_co","velocity","win:mid"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":245000,"is_top_pay":true},"html_url":"https://alion.io/job/superhuman-data-engineer-finance-2","json_url":"https://alion.io/job/superhuman-data-engineer-finance-2.json","meta":{"generated_at":"2026-10-17T18:08:41Z","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":737,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":4056},"rest":"https://alion.io/mcp/rest/get_company?id=4056"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsuperhuman-data-engineer-finance-2"},{"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%2Fsuperhuman-data-engineer-finance-2"},{"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%2Fsuperhuman-data-engineer-finance-2"},{"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/superhuman-data-engineer-finance-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsuperhuman-data-engineer-finance-2"}]}