Senior Data Engineer

The role

A Senior Data Engineer will join the data products team to build and scale commercial banking technology. You will design and own reliable, scalable data products and ML-powered systems like OCR pipelines and RAG-based tools.

What you will do

• Design, build, and own reliable, scalable, well-documented data products and pipelines
• Apply software engineering practices like clean code, testing, and CI/CD to data products and ML systems
• Build horizontal, ML-driven data products for reuse across multiple teams
• Define and uphold data product quality through quality checks, monitoring, alerts, and SLAs
• Partner with stakeholders to understand needs and iterate on data products
• Collaborate with business intelligence and analytics teams to create self-serve data products
• Lead initiatives to grow the catalog of data products and improve the supporting platform

Required qualifications

• 5+ years of experience in data engineering, software engineering, or DevOps
• Proficiency in workflow orchestrators such as Airflow, Dagster, or Prefect
• Experience with major data platforms including Snowflake, Databricks, BigQuery, or in-house HDFS-based solutions
• Skilled at building data infrastructure using GCP, AWS, or comparable cloud providers
• Comfortable managing and deploying services on Kubernetes
• Practical experience with Terraform or Pulumi for automating infrastructure
• Advanced programming abilities in Python and Go
• Strong SQL skills
• Proven experience building, owning, and iterating on data products or data pipelines based on consumer feedback
• Experience designing systems for reuse across multiple teams
• Good communication skills
• Team-oriented, collaborative approach

Nice to have

• Experience building a data platform or data product suite from the ground up
• Experience integrating or deploying ML models into production systems
• Experience with RAG (Retrieval-Augmented Generation) systems and vector databases
• Familiarity with ML infrastructure tooling such as MLflow
• Experience building or deploying agents
• Experience with data modeling and data product approaches such as Data Mesh, Kimball, Inmon, Data Vault, or similar
• Experience working with streaming data systems
• Familiarity with Prometheus or other time-series databases used for monitoring
• Experience with business intelligence (BI) tools such as Omni

Benefits

• Top-notch Private Healthcare Insurance for you and your family members
• Generous PTO policy
• Lunch at work
• Covered costs for parking for onsite staff
• Learning and development budget
• Paternity leave

About the company

Rho is a modern banking platform for startups and growth-stage companies to manage accounts, cards, expenses, and bills. The platform is built for the AI era and provides connected services with human support.