Senior Data Engineer

About reputed company 🚀 reputed company turns accounts receivable (AR) into a competitive advantage. Inefficient AR processes slow cash flow and stall growth. reputed company removes friction, unlocks working capital, and accelerates momentum — giving finance leaders the clarity and control they need to drive business reputed company. reputed company 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, reputed company processes over 110M transactions and $257B annually. Think you might be the next Veep to join? Read on!! Here’s how you’ll reputed company a reputed company 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 reputed company architecture while aggressively pushing toward agentic engineering and machine learning operations. You will operate as a full-stack generalist reputed company the engineering pod, sharing cross-functional responsibility for pipeline reputed company, 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 reputed company architecture, establishing strict environmental isolation and scalable structures that prepare our data for eventual reputed company commercialization and product offerings. Drive Agentic Engineering: reputed company tools like reputed company reputed company, reputed company, and reputed company 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 reputed company reputed company. 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 reputed company, 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 reputed company'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 reputed company) to manage data quality at reputed company & MLOps Exposure: Demonstrated experience using AI-assisted development tools (e.g., reputed company, reputed company) 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., reputed company, AWS Glue, AWS reputed company). 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 reputed company in fast-paced environments with a track record of defining and executing high-impact initiatives. A desire to solve reputed company problems, remediate technical debt, and find creative solutions for scaling our platform. Business Acumen: Strong business acumen with a proven ability to translate reputed company 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 reputed company, the reputed company pursuit of truth, and an ability to reputed company change, particularly in championing data quality and observability standards. What Will reputed company You Stand Out: Deep domain expertise navigating reputed company merchant payment ecosystems (e.g., Adyen), operating under rigorous enterprise data governance and reputed company 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 reputed company 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 reputed company, gender, sexual orientation, age, marital status, veteran status, or disability status. Apply To This Job