Software Engineer, Data Platform

Visa Hunt; New York (NY); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Flexible PTO

Home-office equipment

Health and wellness stipend

Intra-office travel budget

Weekly coffee stipend

Job summary

Ramp is building the data-centric infrastructure that powers analytics and machine learning across the company. This role focuses on platforms supporting the data science lifecycle, partnering with applied scientists, AI engineers, risk engineers, and other ML developers to accelerate model development.

You will build and scale components of Ramp's Analytics and ML platforms, collaborating with stakeholders to productionize ML applications, while ensuring reliability and cost efficiency across

Qualifications

• Experience with workflow orchestration tools (Airflow, Dagster, Prefect).
• Experience building infrastructure on AWS, GCP, or Azure.
• Knowledge of SQL and Snowflake/Redshift/BigQuery or similar databases.
• Intuition around analytics and ML workflows; strong Python skills.

Responsibilities

• Build and integrate components of Ramp's Analytics Platform and ML Platform.
• Develop tools to improve data experience for scientists and engineers.
• Collaborate with stakeholders to productionize ML applications.
• Build reliable, scalable, maintainable, and cost-efficient systems across the stack.

Skills

Workflow orchestration tools (Airflow,

Dagster

Prefect

Cloud data infra (AWS/GCP/Azure)

SQL & major warehouses (Snowflake/Redp

Tools

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 $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 support to NYC or SF (as 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

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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