Ramp

Software Engineer, Data Platform

Ramp3 days ago
Location

New York, NY (HQ)

Type

Full Time

Salary

USD 168,000 – 324,500

Level

Mid

Role

Data Platform Engineer

Posted

Mar 11, 2026

Full TimeMid

The role

Summary

Ramp is seeking a Software Engineer for their Data Platform team to build infrastructure and tools that enable machine learning and data science workflows. This role focuses on developing platforms that support the ML development lifecycle, working closely with applied scientists, AI engineers, and risk engineers to build scalable, cost-efficient systems across the analytics and machine learning stack.

What you'll do

ML Platform Development: Build and integrate components of Ramp's Analytics Platform and Machine Learning Platform
Tool Development: Create tools that improve agility and data experience for Applied Scientists, AI Engineers, and Risk Engineers
Cross-team Collaboration: Partner with stakeholder teams on building and productionizing machine learning applications
System Architecture: Design and build reliable, scalable, maintainable, and cost-efficient systems across the entire technology stack
Infrastructure Management: Manage and optimize cloud infrastructure for data and ML workloads
Pipeline Development: Build and maintain data pipelines and workflow orchestration systems
Performance Optimization: Optimize system performance, cost efficiency, and reliability of data platform components

What we look for

Technical

Workflow OrchestrationExperience with workflow orchestrators like Airflow, Dagster, or Prefect
Cloud InfrastructureExperience building infrastructure on AWS, GCP, or Azure
Database KnowledgeKnowledge of SQL and experience with Snowflake, Redshift, BigQuery, or similar databases
Python ProgrammingStrong Python programming skills for data platform development
ML UnderstandingIntuition around analytics and machine learning with empathy for data science workflows

Education

Computer Science DegreeBachelor's degree in Computer Science, Engineering, or related technical field preferred

Experience

Data Platform Experience3+ years of experience in data engineering, platform engineering, or related field
Cloud InfrastructureProven experience building and managing cloud infrastructure at scale
ML InfrastructureExperience working with machine learning infrastructure and data science teams

Skills

Required skills

PythonStrong proficiency in Python for data platform and infrastructure development
SQLAdvanced SQL skills for data querying and transformation
Workflow OrchestrationHands-on experience with Airflow, Dagster, or Prefect
Cloud PlatformsExperience building infrastructure on AWS, GCP, or Azure
Data WarehousingExperience with Snowflake, Redshift, BigQuery, or similar platforms
ML IntuitionUnderstanding of analytics and machine learning workflows

Nice to have

AWS ExpertiseDeep expertise with Amazon Web Services
Online ML SystemsPrevious experience building online machine learning systems
Feature StoreExperience building and maintaining feature stores
TerraformInfrastructure as Code experience with Terraform
DatadogMonitoring and observability experience with Datadog
Streaming SystemsExperience building real-time streaming data systems

Compensation & benefits

Salary

USD 168,000 – 324,500 (annual)

Stock options

Available

Benefits

Health Insurance

100% medical, dental & vision insurance coverage for employees, partially covered for dependents

One Medical

Annual membership to One Medical primary care service

401k Match

Employer match on 401k contributions made while employed by Ramp

Flexible PTO

Unlimited paid time off policy

Fertility Benefits

Fertility HRA up to $10,000 per year

Parental Leave

Comprehensive parental leave policy

AI Tools

Unlimited AI token usage for productivity enhancement

Pet Insurance

Pet insurance coverage for employees

Home Office

Centralized home-office equipment ordering for all employees

Wellness Stipend

Health and wellness stipend for fitness and wellbeing

Office Perks

In-office lunch, snacks, drinks, and other amenities

Travel Budget

Budget for intra-office travel between locations

Relocation Support

Relocation assistance to NYC or SF as needed


Interview process

  1. 1
    Initial Screen Phone or video screening with recruiting team to discuss background and interest
  2. 2
    Technical Phone Screen Technical discussion with engineering team member covering system design and coding concepts
  3. 3
    Take-Home Assignment Practical coding exercise related to data platform engineering challenges
  4. 4
    Virtual Onsite Multiple rounds including system design, coding interview, and behavioral discussions
  5. 5
    Team Fit Interview Cultural fit assessment and discussion with potential team members and manager
  6. 6
    Final Interview Leadership interview focusing on career goals and alignment with company values

Apply for this position

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