Software Engineer, Data Platform

About RampRamp 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.The problems are high-stakes, data-dense, and unforgiving.We 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.The 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.If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.About the RoleThe 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. What You’ll DoBuild and integrate the components of Ramp's Analytics Platform and Machine Learning Platform.Build tools that improve the agility and data experience of Ramp's Applied Scientists, AI Engineers, and Risk Engineers.Collaborate with stakeholder teams on building and productionizing machine learning applications.Build reliable, scalable, maintainable, and cost-efficient systems across the stack.What You NeedExperience with workflow orchestrators like Airflow, Dagster, or Prefect.Experience building infrastructure on AWS, GCP, or Azure.Knowledge of SQL and experience with Snowflake, Redshift, BigQuery, or similar databases.Intuition around analytics and machine learning, and empathy for data science workflows.Strong Python programming skills.Nice to HavesExpertise with AWSPrevious experience building online machine learning systems.Previous experience building a feature store.Experience with Terraform and DatadogExperience building streaming systems.Benefits available to all full-time Ramp employees (Global)Flexible PTOCentralized home-office equipment orderingHealth and wellness stipendBudget for intra-office travelWeekly coffee stipendUnited States100% medical, dental & vision insurance coverage for you, with partial coverage for dependentsOne Medical annual membership401(k), including employer match on contributions made while employed by RampFertility HRA (up to $10,000 per year)Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% payPet insuranceIn-office perks: lunch, snacks, drinks, and moreRelocation support to NYC or SF (as needed)CanadaGroup medical, dental, and vision coverage through Sun LifeLife, AD&D, and disability coverageFertility drug coverage (up to $4,000 lifetime)Group Retirement Plan with employer match (RRSP + DPSP)Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced payEmployee Assistance Program and virtual care through Lumino HealthUnited KingdomPrivate medical insurance through Freedom EliteVirtual GP and at-home care via eMed x LiviWorkplace pension through Penfold, with salary sacrifice optionParental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced payReferral InstructionsIf you are being referred for the role, please contact that person to apply on your behalf.Other noticesPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Beware 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.Ramp Applicant Privacy NoticeCompensation Range: $168K - $324.5KLocationNew York, NY (HQ)Employment TypeFull timeLocation TypeHybridDepartmentEngineeringCompensation$168K – $324.5K • Offers EquityThe final compensation will depend on the location and level at which the candidate is hired.