Monstro, headquartered in New York, is an innovative AI-enhanced fintech company redefining personal finance management through a global financial platform. Our platform offers individuals a comprehensive view of their entire financial, legal, and tax life, delivering actionable insights, tailored recommendations, and the ability to take direct action.
For financial institutions, Monstro unlocks unparalleled access to personalized customer data and insights. Leveraging Monstro’s data-driven approach allows institutions to maximize revenue, boost customer retention, and attract new clients while lowering acquisition costs. By efficiently servicing clients across all wealth tiers and providing direct, actionable solutions, Monstro is transforming the financial services landscape. We are democratizing access to high-quality financial advice, enabling institutions to optimize operations, empower their clients, and achieve measurable growth in an evolving digital economy.
We’re looking for a Data Engineer to join Monstro as the first data-focused hire. You’ll be responsible for building the foundation of our data infrastructure — designing pipelines, normalizing and modeling financial data, standing up storage systems, and powering the APIs that feed our products.
This is a high-impact, foundational role. You’ll collaborate across engineering, product, and design teams to ensure Monstro’s systems are scalable, secure, and built to support both internal tools and user-facing insights. You’ll help us make sense of messy financial data and turn it into something powerful, usable, and elegant — all while shaping the core data stack from scratch.
The ideal candidate is an experienced data engineer who thrives in early-stage environments. You’re comfortable building and owning data systems end-to-end, collaborating across disciplines, and helping define how data becomes a strategic advantage at Monstro.
Infrastructure & Data Architecture
Design, implement, and maintain scalable data infrastructure and internal APIs
Build systems for secure, reliable, and accessible storage of financial and transactional data
Normalize messy, multi-source financial data into structured, usable formats
Pipeline Development
Own the design and maintenance of ETL/ELT pipelines to ingest and transform data
Ensure data quality, integrity, and performance across all systems
Collaborate with engineering to integrate pipelines into Monstro’s platform
Tech Stack & Foundation
Evaluate and recommend tools, frameworks, and technologies for our data ecosystem
Set standards for data architecture, privacy, and scalability
Establish internal documentation and data governance practices
Cross-Functional Collaboration
Work closely with product, design, and engineering to ensure data infrastructure supports product needs
Enable the creation of user-facing data features, dashboards, and insights
Support internal stakeholders with access to clean, well-structured data for decision-making
Scalability & Ownership
Build with scale in mind, ensuring systems grow alongside Monstro’s user base
Play a key role in hiring and mentoring future data team members as we grow
Experience & Skills
5+ years of experience in data engineering, backend engineering, or infrastructure
Deep experience designing data pipelines and storage systems from scratch
Strong SQL skills and proficiency in one or more data-oriented languages (Python, Scala, etc.)
Experience working with API development and integrating data pipelines into product ecosystems
Familiarity with cloud platforms (AWS, GCP, Azure), data warehouses (e.g., Snowflake, BigQuery), and orchestration tools (e.g., Airflow, dbt)
Strong understanding of data normalization, schema design, and system performance
Soft Skills & Mindset
You’re a builder — excited to architect foundational systems and make strategic tech decisions
Collaborative and communicative — you work well with technical and non-technical teammates
Quality- and security-minded — especially with sensitive financial data
Energized by Monstro’s mission to bring intelligence and clarity to the world of personal and institutional finance
Transformative Opportunity: Be at the forefront of fintech innovation, leading the development of cutting-edge AI-powered technology.
Credibility and Impact: Build a platform trusted by global financial institutions and accessible to millions of individuals worldwide.
Collaborative Leadership: Join a highly accomplished executive team with a proven track record of scaling startups to successful exits.
Ownership and Growth: Earn significant equity in a mission-driven company, shaping the future of personal finance and financial technology.
Mission-Driven: Help democratize access to high-quality financial advice, empowering individuals and institutions alike.
If you’re a visionary leader with deep technical expertise and a passion for transforming the financial services landscape through AI and innovation, we’d love to hear from you.
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At Monstro, an innovative AI-enhanced fintech company based in New York City, we’re on the hunt for a talented Data Engineer to join our dynamic team! As the first data-focused hire, you will play a pivotal role in shaping the foundation of our data infrastructure. Imagine designing cutting-edge pipelines, normalizing and modeling complex financial data, and powering the APIs that enhance our groundbreaking platform. You’ll collaborate with engineering, product, and design teams to ensure our systems are not only scalable and secure but also enable internal tools and user-facing insights. At Monstro, we take messy financial data and turn it into something elegant and actionable, making this high-impact role essential for our mission to democratize access to high-quality financial advice. If you’re someone who thrives in an early-stage environment with a passion for transforming financial services, this is the opportunity for you! With over 5 years of experience in data engineering, you should be comfortable building end-to-end systems and defining how our data can become a strategic advantage. Join us in this exciting journey as we revolutionize personal finance management and empower institutions in the digital economy!
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