Software Engineer, Data Platform
Builds infrastructure and tools for Ramp's Analytics and Machine Learning Platforms, supporting data science lifecycle. Partners with AI and ML engineers; requires Python, workflow orchestrators, cloud platforms, and SQL expertise.
About the job
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.
Skills
Python, Airflow, Dagster, Prefect, AWS, GCP, Azure, SQL, Snowflake, Redshift, BigQuery, Terraform, Datadog
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