Monet Bank · 8 hours ago
Data Engineer (for Monet Bank)
Monet Bank is pioneering the future of banking and money movement, and they are seeking a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. This role will work closely with data analysts, data scientists, and software engineering teams to ensure reliable and high-quality data solutions.
Financial Services
Responsibilities
Design and own our end-to-end data platform architecture on Databricks and Apache Spark
Define standards for data modeling, pipeline design, and data quality across the organization
Evaluate and introduce new tools and frameworks as the team and company scales
Drive decisions on medallion architecture, Delta Lake structure, and cluster optimization
Build and maintain robust, scalable ELT/ETL pipelines using Spark and Databricks workflows
Develop reusable frameworks, libraries, and templates that accelerate team productivity
Own reliability and observability of our data pipelines — monitoring, alerting, and incident response
Write clean, well-documented, testable code and hold the bar for engineering quality
Partner with analytics and business stakeholders to translate complex needs into sound data models
Build self-serve data assets that reduce bottlenecks and empower non-engineering users
Support ad-hoc data investigations and exploratory analysis as needed
Act as a technical mentor and go-to resource for junior and mid-level engineers on the team
Lead design reviews, code reviews, and architectural discussions
Help define hiring standards and contribute to interviewing and onboarding as the team grows
Serve as a thought partner to leadership on data strategy and platform roadmap
Qualification
Required
7+ years of data engineering experience, with 2+ years operating at a senior or staff level
Deep expertise with Apache Spark — performance tuning, optimization, and production troubleshooting
Hands-on experience with Databricks including Unity Catalog, Delta Live Tables, and Databricks Workflows
Strong SQL skills and experience with dimensional modeling, data vault, or medallion architecture
Experience designing and maintaining production-grade data pipelines with high reliability standards
Comfortable operating as a generalist — you can move between infrastructure, pipelines, and analytics layers
Strong communication skills; able to explain technical concepts to non-technical stakeholders
Preferred
Experience with Python-based orchestration tools (Airflow, Prefect, or similar)
Familiarity with dbt for transformation layers
Cloud platform experience (AWS), cloud-native storage and compute
Experience building with small teams at a growth-stage company
Background in analytics engineering or data architecture in addition to core engineering
Knowledge of data governance and security best practices
Experience in financial services or highly regulated environments
Benefits
Medical, dental and vision coverage
401K with company match
11 paid holidays
Accrue up to 17 vacation/sick days per year in your first year on a pro rata basis
Applicant may be eligible for annual discretionary bonus
Company
Monet Bank
Monet is focused on modern banking solutions that connect today’s financial technologies through secure, reliable, and trusted services.
Funding
Current Stage
Early StageCompany data provided by crunchbase