Software Engineer, Data Platform
At a glance
Mid-level Software Engineering role at Ramp. New York · full-time · $168,000–$324,500 base.
techroles summary, based on the employer's posting.
What you'll do
- Build and connect parts of the analytics and machine learning platforms
- Create tools that make model development easier for applied scientists, AI engineers and risk engineers
- Work with partner teams to turn machine learning applications into production systems
- Develop reliable, scalable and cost-conscious systems across the technology stack
What you bring
- You’ve used workflow orchestration tools such as Airflow, Dagster or Prefect
- You’ve built cloud infrastructure on AWS, GCP or Azure
- You know SQL and have worked with Snowflake, Redshift, BigQuery or a comparable database
- You bring strong Python skills and understand analytics, machine learning and data science workflows
Who this fits
This mid-level role suits a software engineer focused on infrastructure for machine learning development. It is based in New York and is hybrid; relocation support to New York or San Francisco is available if needed.
From the employer
About Ramp
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ 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 7.5% 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 Role
The 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 Do
Build 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 Need
Experience 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 Haves
Expertise with AWS
Previous experience building online machine learning systems.
Previous experience building a feature store.
Experience with Terraform and Datadog
Experience building streaming systems.
Benefits available to all full-time Ramp employees (Global)
Flexible PTO
Centralized home-office equipment ordering
Health and wellness stipend
Budget for intra-office travel
Weekly coffee stipend
United States
100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
One Medical annual membership
401(k), including employer match on contributions made while employed by Ramp
Fertility HRA (up to $10,000 per year)
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
Pet insurance
In-office perks: lunch, snacks, drinks, and more
Relocation expense coverage to NYC or SF (if needed)
Canada
Group medical, dental, and vision coverage through Sun Life
Life, AD&D, and disability coverage
Fertility 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 pay
Employee Assistance Program and virtual care through Lumino Health
United Kingdom
Private medical insurance through Freedom Elite
Virtual GP and at-home care via eMed x Livi
Workplace pension through Penfold, with salary sacrifice option
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
Referral Instructions
If you are being referred for the role, please contact that person to apply on your behalf.
Other notices
Pursuant 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.
Software Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Software Engineering$160k+
Find me workBy the team behind techroles.