Software Engineer, Data Platform

Ramp; New York (NY); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

100% medical, dental & vision insurance coverage

401k with employer match

Flexible PTO

Fertility HRA up to $10,000

Parental Leave

Unlimited AI token usage

Pet insurance

Health and Wellness stipend

In-office perks: lunch, snacks, drinks

Budget for intra-office travel

Relocation support to NYC or SF

Job summary

A financial technology company based in New York is looking for a Data Platform Engineer to build and integrate components for their Analytics and Machine Learning Platforms. This role involves collaborating with applied scientists and AI engineers to enhance workflows and improve data experience. Ideal candidates will have strong programming skills in Python, experience with infrastructure on AWS, and knowledge of SQL databases. Competitive benefits include full medical coverage and flexible PTO.

Qualifications

• Experience with building platforms for machine learning.
• Knowledge of analytics workflows in data science.

Responsibilities

• Build components of Ramp's Analytics and Machine Learning Platforms.
• Improve data experience for applied scientists and engineers.
• Collaborate on machine learning application production.

Skills

Workflow orchestrators (Airflow, Dagster, Prefect)

Infrastructure on AWS, GCP, or Azure

SQL knowledge with databases like Snowflake, Redshift, BigQuery

Analytics and machine learning intuition

Strong Python programming skills

Tools

AWS

Terraform

Datadog

Job description

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 $100B in annualized spend flows in and out of 50,000+ 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 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 (for U.S.-based full-time employees)

• 100% medical, dental & vision insurance coverage for you
  • Partially covered for your dependents
  • One Medical annual membership
• 401k (including employer match on contributions made while employed by Ramp)
• Flexible PTO
• Fertility HRA (up to $10,000 per year)
• Parental Leave
• Unlimited AI token usage
• Pet insurance
• Centralized home-office equipment ordering for all employees
• Health and Wellness stipend
• In-office perks: lunch, snacks, drinks, and more
• Budget for intra-office travel
• Relocation support to NYC or SF (as needed)

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.

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