Versapay

Optimize and scale Snowflake architecture and implement MLOps pipelines with data observability frameworks. | Requires 5+ years in data engineering with expertise in Snowflake, SQL, Python, MLOps, and data observability. | About Versapay 🚀 Versapay turns accounts receivable (AR) into a competitive advantage. Inefficient AR processes slow cash flow and stall growth. Versapay removes friction, unlocks working capital, and accelerates momentum — giving finance leaders the clarity and control they need to drive business forward. Versapay automates accounts receivable, removing barriers to collecting and reconciling B2B payments. Our solutions connect finance teams, customers, and business systems in one ecosystem to ensure cash flow clarity. With over 10,000 customers and 5M+ companies transacting on the platform, Versapay processes over 110M transactions and $257B annually. Think you might be the next Veep to join? Read on!! Here’s how you’ll make a huge impact here – and on your career: The Analytics team is evolving our enterprise capabilities from foundational governance into a robust data platform, safely accelerating strategic AI enablement and delivering high-margin commercial data products. As a Senior Data Engineer, you will be pivotal in optimizing and scaling our foundational Snowflake architecture while aggressively pushing toward agentic engineering and machine learning operations. You will operate as a full-stack generalist within the engineering pod, sharing cross-functional responsibility for pipeline resilience, advanced observability, and the deployment of intelligent semantic models that directly feed our product ecosystem. Reports To: Manager of Data Engineering \n What You'll Do: Architect for the Future: Optimize our existing Snowflake architecture, establishing strict environmental isolation and scalable structures that prepare our data for eventual downstream commercialization and product offerings. Drive Agentic Engineering: Leverage tools like Snowflake Cortex, Cursor, and UiPath to automate workflows, build semantic models, and deploy agents that accelerate time-to-value. Establish Data Observability: Implement and manage robust data quality and observability frameworks to ensure pipeline reliability and proactive issue resolution. Operationalize Machine Learning: Design and maintain MLOps pipelines to support the seamless rollout, monitoring, and lifecycle management of ML models directly within Snowflake. Execute Shared Ownership: Partner closely with your peers under the Data Engineering Manager to share responsibilities across pipeline management, MLOps, and architecture, avoiding siloed knowledge and ensuring comprehensive team coverage. Model for Enterprise Utility: Synthesize disparate operational entities into a unified, enterprise-wide semantic model that supports both internal analytics and future data monetization efforts. Qualifications 5+ years of Data Engineering experience with a deep, specialized focus on Snowflake's advanced features (e.g., RBAC, materialized views, dynamic tables, Snowpipe, stored procedures). Advanced proficiency in SQL and Python, with a strong foundation in applying software engineering best practices to ELT processes. Observability Expertise: Hands-on experience implementing data observability and monitoring platforms (such as DataDog) to manage data quality at scale. AI & MLOps Exposure: Demonstrated experience using AI-assisted development tools (e.g., Cursor, Cortex) and familiarity with MLOps principles for productionalizing machine learning models. Pipeline Management: Experience building and maintaining resilient, low-touch data pipelines using modern integration and orchestration tools (e.g., Fivetran, AWS Glue, AWS Lambda). What You'll Bring To The Team: Technical Competency: Advanced SQL skills, proficiency with Python/R, and experience with BI tools. Focus on self-sufficiency and leveraging AI tools to accelerate development. "Builder" Mentality: An ability to thrive in fast-paced environments with a track record of defining and executing high-impact initiatives. A desire to solve complex problems, remediate technical debt, and find creative solutions for scaling our platform. Business Acumen: Strong business acumen with a proven ability to translate complex data analysis into strategic recommendations. Adept at identifying key drivers and influencing decision-making. You understand the business behind the data and the path to commercialization. Empathetic Collaboration: Assertive with humility – able to communicate both persuasively and positively. Maintain high standards for verbal and written communication while seamlessly sharing domain responsibilities across the engineering pod. Trusted Advisor: Possesses a high degree of integrity, the relentless pursuit of truth, and an ability to inspire change, particularly in championing data quality and observability standards. What Will Make You Stand Out: Deep domain expertise navigating complex merchant payment ecosystems (e.g., Adyen), operating under rigorous enterprise data governance and security standards. Proven ability to architect the translation of high-velocity transactional events into highly optimized, columnar analytical architectures. Direct experience architecting data products for commercialization, external endpoints, or embedded analytics within a SaaS platform. \n $110,000 - $130,000 a year \n #LI-Remote We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Design, develop, and test fullstack SaaS product features using React and Ruby on Rails, collaborate in agile squads, mentor junior engineers, and contribute to scalable, secure platform architecture. | 7+ years software engineering experience with strong React and TypeScript skills, experience or willingness to learn Ruby on Rails, solid CS fundamentals, good communication, and preferably payments industry knowledge. | About Versapay \uD83D\uDE80 For growing businesses that need to accomplish more with less, Versapay’s Accounts Receivable Efficiency Suite simplifies the invoice-to-cash process by automating invoicing, facilitating B2B payments, and streamlining cash application with AI. Versapay integrates natively with top ERPs, while allowing businesses to collect with a self-serve payment portal and collaborate with customers and teammates to resolve what automation alone can’t. Owned by Great Hill Partners, Versapay’s employee base spans the U.S. and Canada with offices in Atlanta and Miami. With 10,000 customers and 5M+ companies transacting, Versapay facilitates 110M+ transactions and $170B+ in payments volume annually Think you might be the next Veep to join? Read on!! HOW YOU’LL MAKE A HUGE IMPACT HERE – AND ON YOUR CAREER At Versapay, product development is organized around cross-functional squads - each including Product Managers, Engineers, QA, and more—focused on delivering impactful features and scalable systems. We’re looking for a Senior Fullstack Software Engineer who thrives in a collaborative environment and is passionate about building high-quality, modern software. You’ll play a key role in designing and developing features across our platform, with a focus on both frontend (React) and backend (Ruby on Rails). You’ll also contribute to architectural decisions, mentor peers, and help us scale our systems as we grow. Explore our stack here: https://stackshare.io/versapay/arc What You'll Do: • Design, develop, and test fullstack product features that meet business and technical requirements. • Collaborate with your squad to plan, scope, and implement new features and enhancements. • Estimate work methodically based on iterative learning and agile best practices. • Investigate and resolve performance, scalability, security and data integrity issues. • Participate in code reviews, architecture discussions, and technical decision-making. • Work closely with Product, QA, DevOps, and Customer Care to deliver value to our users. • Contribute to R&D efforts to ensure our platform is scalable, reliable, and secure. • Mentor junior engineers and foster a culture of continuous learning and improvement. What You'll Bring to the Team: • 7+ years of experience in software engineering, with a strong foundation in computer science, engineering, or mathematics. • Proven experience building and shipping fullstackSaaS applications in an agile, test-driven environment. • Expertise in React.js and modern JavaScript/TypeScript development. • Experience with Ruby on Rails or a strong willingness and ability to learn it quickly. • Solid understanding of algorithms, data structures, and system design. • Strong debugging and problem-solving skills, especially in complex or ambiguous situations. • Excellent communication skills—clear, concise, and effective in both written and verbal formats. • A collaborative mindset with the ability to work independently and take ownership. • Experience in the Payments industry and/or PCI/DSS compliance is a strong asset. Why Join Us?: • Work on a modern tech stack with a team that values innovation, quality, and collaboration. • Be part of a growing company that’s transforming how businesses manage payments and receivables. • Competitive compensation, benefits, and opportunities for career advancement. #LI-Remote