Senior Data Engineer
Role Overview
As a Senior Data Engineer, you will design, build, and maintain scalable data systems and pipelines using technologies like Python, Snowflake, and DBT. You will ensure data reliability and performance by implementing quality checks and collaborating with stakeholders to translate business needs into data solutions. This individual contributor role on the data & analytics team has a significant impact on scaling Rho's commercial banking technology and fostering a data-driven culture.
Perks & Benefits
This role offers a hybrid work environment with remote flexibility, including generous PTO, top-notch private healthcare for you and your family, and a learning and development budget. Benefits also cover lunch at work, parking for onsite staff, and paternity leave, supporting a collaborative and growth-oriented culture typical in tech startups.
Full Job Description
About Us
Rho is the modern banking platform built for startups. 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 & analytics team as individual contributors and help build & scale Rho's commercial banking technology.
The Data team builds data products and solutions for either internal stakeholders or customers directly, maintaining a strong data driven culture across the company. This includes building our data infrastructure, ingestion frameworks tools & data models in order to ensure high data integrity.
Technologies we use for data: Python, Snowflake, DBT, PostgreSQL, Kubernetes, Terraform, Prometheus, Google Cloud Services, Looker, PowerBI
Responsibilities :
Develop and maintain Rho’s main data systems and platforms so they are reliable, scalable, and performant
Design, maintain and build a robust data warehouse, pipelines and infrastructure that can seamlessly scale with Rho’s rapid growth.
Implement and manage quality checks, monitoring, and alerts to keep data accurate and quickly handle any issues in pipelines.
Partner with stakeholders to diagnose and resolve issues with current production data models and deliver enhancements to boost accuracy, speed, and ease of use.
Collaborate with business intelligence and analytics teams to translate business needs into practical, scalable data solutions.
Lead initiatives to expand and improve Rho’s company-wide data warehouse and analytics environment.
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 warehouse 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, Go, or Java, along with strong SQL skills.
Proven experience building and maintaining data pipelines and data models.
Good communication skills and a team-oriented, collaborative approach.
Nice To Haves:
Experience building a data platform from the ground up.
Experience with data modeling approaches such as Inmon, Kimball, Data Vault, Data Mesh, 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 Looker or Power BI.
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)
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