About Us
Rho is the modern banking platform built for the AI era. Startups and growth-stage companies can open accounts in minutes, issue cards, manage expenses, pay bills, and close the books – all in one connected platform backed by real human support.
About the Role
Our team is looking for a Senior Data Engineer to join our data products team and help build & scale Rho's commercial banking technology.
The Data team builds data products for internal stakeholders and customers directly, maintaining a strong data driven culture across the company. This means treating data, pipelines, and ML systems as products in their own right: owned, versioned, documented, and built for other teams to discover and consume, not just infrastructure that sits behind the scenes. A key part of this role is building horizontal data products: reusable, ML-powered systems like an internal OCR pipeline, a transaction coding suggestion engine, and RAG-based and agentic systems that leverage our data to automate and augment internal workflows, that serve multiple teams and use cases across the company.
Technologies we use for data: Python, Go, Snowflake, DBT, PostgreSQL, Kubernetes, Terraform, Prometheus, Google Cloud Services, Omni, Hex
The ideal candidate is a strong software and data engineer with good taste & judgement, someone who knows what good looks like, and subscribes to a “strong opinions, weakly held” mindset.
Responsibilities:
Design, build, and own data products, reliable, scalable, well-documented pipelines and datasets that other teams can discover, trust, and build on directly
Apply strong software engineering practices (clean code, testing, version control, CI/CD) to data products and ML systems, treating them with the same rigor as production software, while moving fast in AI-first world
Build horizontal, ML-driven data products, such as our OCR pipeline for document processing, our transaction coding suggestion system, and RAG/agentic tools, designed to be reused across multiple teams rather than built for a single use case
Define and uphold data product quality: implement quality checks, monitoring, alerts, and SLAs so consumers of a data product can rely on it the way they'd rely on any well-run internal API
Partner directly with the stakeholders who consume your data products to understand their needs, gather feedback, and iterate, treating them as customers rather than downstream requesters
Collaborate with business intelligence and analytics teams to turn business needs into data products that are easy to find, understand, and self-serve from
Lead initiatives to grow Rho's catalog of data products and improve the platform that supports them, expanding what other teams can build on top of
Requirements:
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 are integral to this role, along with strong SQL skills (Java experience also considered)
Proven experience building, owning, and iterating on data products or data pipelines based on consumer feedback, not just building infrastructure in isolation
Experience designing systems for reuse across multiple teams
Good communication skills and a team-oriented, collaborative approach, comfortable working directly with the people who consume what you build
Nice To Haves:
Experience building a data platform or data product suite from the ground up
Experience integrating or deploying ML models into production systems (e.g., classification, suggestion, or extraction models)
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
What we offer
Our people are our most valuable asset. Base salary may vary depending on relevant experience, skills, geographic location, and business needs.
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
Hybrid work environment (with old town Belgrade office)
Skills Required
- 5+ years of experience in data engineering, software engineering, or DevOps
- Proficiency with workflow orchestrators such as Airflow, Dagster, or Prefect
- Experience with major data platforms including Snowflake, Databricks, BigQuery, or HDFS-based solutions
- Experience building data infrastructure using GCP, AWS, or comparable cloud providers
- Experience managing and deploying services on Kubernetes
- Practical experience with Terraform or Pulumi
- Advanced programming abilities in Python and Go, with strong SQL skills; Java experience considered
- Experience building, owning, and iterating on data products or pipelines based on consumer feedback
- Experience designing systems for reuse across multiple teams
- Good communication and collaboration skills, including working directly with data product consumers
- 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 systems and vector databases
- Familiarity with MLflow or similar ML infrastructure tooling
- Experience building or deploying agents
- Experience with data modeling approaches such as Data Mesh, Kimball, Inmon, or Data Vault
- Experience working with streaming data systems
- Familiarity with Prometheus or other time-series monitoring databases
- Experience with BI tools such as Omni or Power BI
Rho Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Rho and has not been reviewed or approved by Rho.
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Fair & Transparent Compensation — Pay is characterized as market-competitive across key product, engineering, and sales roles, and compensation is highlighted as a relative strength in employer profiles. Compensation satisfaction appears strong compared to other categories, even when other aspects of the experience are mixed.
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Healthcare Strength — Core medical, dental, and vision coverage plus life and disability insurance and HSA/FSA options are consistently listed across postings. This breadth of standard healthcare benefits positions the package as competitive for a growth-stage fintech.
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Leave & Time Off Breadth — PTO, paid holidays, parental leave, and bereavement leave are explicitly included in third-party listings. Hybrid flexibility is also noted, supporting practical use of time off.
Rho Insights
What We Do
Rho's mission is to make finance frictionless for organizations. Our automated, integrated platform has everything a finance leader needs across commercial banking and spend management to save finance leaders money and boost their team’s productivity.
Why Work With Us
Rho is solving a significant challenge for finance leaders. This is a great opportunity to be part of a special mission to make finance frictionless. Rho is perfect for high-performers who move fast, know how to prioritize for impact, lead with empathy, and bring diverse skillsets and perspectives to help make customer lives easier.
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