Software Engineer, Data Platform
Ramp · Location not specified · Remote
This listing is no longer available on the source site.
Ramp
Ramp builds corporate card and spend management software that automates expense tracking, bill payment, procurement, and accounting close for finance teams. Founded in 2019 by Eric Glyman and Karim Atiyeh (following their earlier exit with Paribus), Ramp emerged as a challenger to Brex and Divvy, differentiating with a business model built around savings rather than card interchange alone, and has since expanded into travel, bill pay, and AI-driven finance tools, becoming one of the more richly valued private fintech companies in the process. Ramp now processes well over $200B in annualized spend across tens of thousands of businesses, positioning itself against incumbents like American Express and SAP Concur as well as fintech peers Brex and Airbase.
Gig 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 $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 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 http://Ramp. com email addresses and will never ask for payment or sensitive personal information during the hiring process. Ramp Applicant Privacy Notice https://ramp. com/legal/applicant-privacy-notice
Requirements to meet
Disclaimer
Suggestions only — review each course yourself to judge whether it meets the role's requirements. Completing a course doesn't guarantee proficiency or that you'll qualify; hiring standards vary by employer.
Skills required
Machine Learning (required)
GapCourses that may help you meet this requirement:
Introduction to DevOps principles for machine learning
Microsoft Learn · beginner · Free · 33m · ★ 4.7
This course directly covers Machine Learning, which appears as a requirement in the Data Engineer posting at a beginner level and can be completed in approximately 1 hours.
Continuous deployment for machine learning
Microsoft Learn · beginner · Free · 22m · ★ 4.7
This course directly covers Machine Learning, which appears as a requirement in the Data Engineer posting at a beginner level and can be completed in approximately 0 hours.
Intro to Machine Learning
Kaggle Learn · beginner · Free
This course directly covers Machine Learning, which appears as a requirement in the Data Engineer posting at a beginner level.
Python (required)
GapCourses that may help you meet this requirement:
Data Analysis with Python
freeCodeCamp · beginner · Free
This course directly covers Python, which appears as a requirement in the Data Engineer posting at a beginner level.
Pandas
Kaggle Learn · beginner · Free
This beginner-level Pandas course helps build Python proficiency, a key skill required for the Data Engineer role.
CS50's Introduction to Artificial Intelligence with Python
CS50 · intermediate · Free
This course directly covers Python, which appears as a requirement in the Data Engineer posting at an intermediate level.
SQL (required)
GapCourses that may help you meet this requirement:
Explore data roles and services
Microsoft Learn · beginner · Free · 22m · ★ 4.8
This course covers SQL, which appears as a requirement in the Data Engineer posting at a beginner level and can be completed in approximately 0 hours.
Sort and filter results in T-SQL
Microsoft Learn · beginner · Free · 57m · ★ 4.8
This beginner-level course helps build foundational SQL skills needed for a Data Engineer role by teaching how to sort and filter results in T-SQL.
Get started with data concepts
Microsoft Learn · beginner · Free · 37m · ★ 4.8
This beginner course introduces foundational data concepts that can help build the groundwork needed before developing SQL skills required for a Data Engineer role.
AWS (required)
GapCourse that may help you meet this requirement:
Connect hybrid and multicloud environments to Microsoft Defender for Cloud
Microsoft Learn · intermediate · Free · 52m
This course is recommended to help build AWS skills for the Data Engineer role, though no specific matched keywords were provided to detail the exact overlap.
GCP (required)
GapAzure (required)
GapCourses that may help you meet this requirement:
Describe security and compliance concepts
Microsoft Learn · beginner · Free · 48m · ★ 4.8
This beginner-level Azure course is recommended to help build foundational Azure knowledge needed for the Data Engineer role, addressing the identified skill gap in Azure.
Introduction to DevOps principles for machine learning
Microsoft Learn · beginner · Free · 33m · ★ 4.7
This course covers Azure, which appears as a requirement in the Data Engineer posting at a beginner level and can be completed in approximately 1 hours.
Introduction to Azure Virtual Networks
Microsoft Learn · beginner · Free · 1h · ★ 4.8
This course directly covers Azure, which appears as a requirement in the Data Engineer posting at a beginner level and can be completed in approximately 1 hours.
Analytics (required)
GapCourses that may help you meet this requirement:
Explore data roles and services
Microsoft Learn · beginner · Free · 22m · ★ 4.8
This course covers Analytics, which appears as a requirement in the Data Engineer posting at a beginner level and can be completed in approximately 0 hours.
Explore core data concepts
Microsoft Learn · beginner · Free · 35m · ★ 4.8
This course covers Analytics, which appears as a requirement in the Data Engineer posting at a beginner level and can be completed in approximately 1 hours.
Data Analysis with Python
freeCodeCamp · beginner · Free
This course covers Analytics, which appears as a requirement in the Data Engineer posting at a beginner level.
Terraform (required)
GapCourses that may help you meet this requirement:
Rapidly develop and deploy Java apps using GitHub Actions or Azure Pipelines
Microsoft Learn · intermediate · Free · 30m · ★ 4.6
This course directly covers Terraform, which appears as a requirement in the Data Engineer posting at an intermediate level and can be completed in approximately 1 hours.
Implement security controls in infrastructure as code
Microsoft Learn · intermediate · Free · 23m
This intermediate course is recommended to help build Terraform skills needed for the Data Engineer role, addressing the identified skill gap.
Create Azure Resources by using Azure Resource Manager templates
Microsoft Learn · advanced · Free · 29m · ★ 4.8
This course covers Terraform, which appears as a requirement in the Data Engineer posting at an advanced level and can be completed in approximately 0 hours.
Airflow (required)
GapSnowflake (required)
Gap