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Software Engineer, Data Platform
Posted by employer 7 months ago
First seen on Joblaze 6 months ago
Last verified on the company career page 1 week ago
Skills & Technologies
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In this role, the Software Engineer for the Data Platform at Ramp focuses on developing and integrating components for the company's Analytics and Machine Learning platforms, enhancing the data experience for applied scientists and engineers. Key skills include proficiency in Python, experience with cloud infrastructure like AWS, and familiarity with workflow orchestrators such as Airflow. This position is ideal for individuals with a strong background in data science workflows and a passion for building scalable systems. Ramp emphasizes a culture of ownership and collaboration, making it a fitting environment for proactive builders.
Joblaze insights
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Airflow, Azure, BigQuery, Dagster, Datadog.
- What seniority level is this role?
- Ramp targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Software Engineer, Data Platform role at Ramp.
From the original posting
The problems are high-stakes, data-dense, and unforgiving.
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.
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
Fertility HRA (up to $10,000 per year)
Pet insurance
In-office perks: lunch, snacks, drinks, and more
Canada
Group medical, dental, and vision coverage through Sun Life
Life, AD&D, and disability coverage
Fertility drug coverage (up to $4,000 lifetime)
United Kingdom
Private medical insurance through Freedom Elite
Standard company text repeated across Ramp's postings is omitted here.