{"id":14057,"url":"https://alion.io/job/ramp-software-engineer-data-platform","title":"Software Engineer, Data Platform","company":{"id":4342,"name":"Ramp","domain":"ramp.com","url":"https://alion.io/company/ramp","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":87,"open_postings":44,"ghost_share":0,"stale_share":0.523,"repost_share":0,"time_to_fill_p50_days":56,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":null,"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":168000,"max":324500,"currency":"USD","period":"year","gross":null,"usd_annual":324500},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"Dagster","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Datadog","optional":true},{"name":"Feature Store","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-03-11T14:55:30Z","employer_posted_date":"2026-03-11","last_verified_at":"2026-10-16T18:10:14Z","board_verified":true,"closed_at":null,"days_open":219,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":218},"description":"About Ramp\nRamp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.\nThe problems are high-stakes, data-dense, and unforgiving.\nWe hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.\nThe median Ramp customer saves 5% and grows revenue 16% in their first year - far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.\nIf you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.\nAbout the Role\nThe Data Platform builds infrastructure and tools that enable Ramp to realize business value from data. We partner closely with stakeholder teams to build this infrastructure and the applications on top of it. This role is particularly focused on building platforms that support the data science development lifecycle. You’ll partner with applied scientists, AI engineers, Risk engineers, and other ML developers on building infrastructure and tools that enable and accelerate the development of machine learning models.\nWhat You’ll Do\nBuild and integrate the components of Ramp's Analytics Platform and Machine Learning Platform.\n\nBuild tools that improve the agility and data experience of Ramp's Applied Scientists, AI Engineers, and Risk Engineers.\n\nCollaborate with stakeholder teams on building and productionizing machine learning applications.\n\nBuild reliable, scalable, maintainable, and cost-efficient systems across the stack.\n\nWhat You Need\nExperience with workflow orchestrators like Airflow, Dagster, or Prefect.\n\nExperience building infrastructure on AWS, GCP, or Azure.\n\nKnowledge of SQL and experience with Snowflake, Redshift, BigQuery, or similar databases.\n\nIntuition around analytics and machine learning, and empathy for data science workflows.\n\nStrong Python programming skills.\n\nNice to Haves\nExpertise with AWS\n\nPrevious experience building online machine learning systems.\n\nPrevious experience building a feature store.\n\nExperience with Terraform and Datadog\n\nExperience building streaming systems.\n\nBenefits available to all full-time Ramp employees (Global)\nFlexible PTO\n\nCentralized home-office equipment ordering\n\nHealth and wellness stipend\n\nBudget for intra-office travel\n\nWeekly coffee stipend\n\nUnited States\n100% medical, dental & vision insurance coverage for you, with partial coverage for dependents\n\nOne Medical annual membership\n\n401(k), including employer match on contributions made while employed by Ramp\n\nFertility HRA (up to $10,000 per year)\n\nParental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay\n\nPet insurance\n\nIn-office perks: lunch, snacks, drinks, and more\n\nRelocation expense coverage to NYC or SF (if needed)\n\nCanada\nGroup medical, dental, and vision coverage through Sun Life\n\nLife, AD&D, and disability coverage\n\nFertility drug coverage (up to $4,000 lifetime)\n\nGroup Retirement Plan with employer match (RRSP + DPSP)\n\nParental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay\n\nEmployee Assistance Program and virtual care through Lumino Health\n\nUnited Kingdom\nPrivate medical insurance through Freedom Elite\n\nVirtual GP and at-home care via eMed x Livi\n\nWorkplace pension through Penfold, with salary sacrifice option\n\nParental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay\n\nReferral Instructions\nIf you are being referred for the role, please contact that person to apply on your behalf.\nOther notices\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\nBeware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.\nRamp Applicant Privacy Notice","description_format":"text","description_chars":4365,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Health insurance","Insurance coverage","Parental leave","Retirement plans","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Cards & Card Issuing","Procurement & Spend Management"],"lifecycle":[{"event":"open","at":"2026-03-11T14:55:30Z"},{"event":"open","at":"2026-09-25T22:33:46Z"}],"visa":[],"liveness":{"score":4,"band":"cold","label":"Long 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