Data Engineer

Monet Bank is pioneering the future of banking and money movement — faster, more efficient, and built for the modern financial ecosystem.

At our core, we believe Monet Bank is an essential bridge to the next generation of banking and payments infrastructure. As a profitable, well-capitalized Texas state-chartered bank and FDIC-Insured — backed by the full faith and credit of the U.S. Government— Monet combines the strength and stability of traditional banking with forward-thinking financial technology innovation.

We recognize the fundamental inefficiencies in legacy payment networks and are building a strong team to thoughtfully challenge assumptions and pursue smarter, more scalable solutions. Our focus is on modern banking services that empower merchants to reclaim margins, enable fintechs to operate cross-border at scale, and support technology platforms in embedding seamless financial services.

If you are motivated by building secure, intentional, and future-ready banking infrastructure, we invite you to explore opportunities with Monet Bank.

Job Description

Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics, reporting, and data-driven decision making. This role will work closely with data analysts, data scientists, and software engineering teams to ensure reliable and high-quality data solutions.

Essential Duties and Responsibilities:

Key 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

Analytics & Enablement

• 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

Required Qualifications

• 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 Qualifications

• 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 options include:

• 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…