--- title: 'Senior Data Engineer at AppZen, Inc.' canonical: 'https://feeny.ai/job/senior-data-engineer-appzen-inc-pune-wpx87mv2grc7' type: 'job' last_seen: '2026-10-14' --- # Senior Data Engineer at AppZen, Inc. - **Company:** AppZen, Inc. - **Location:** Pune, India - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-06-19 - **Last confirmed live:** 2026-10-14 - **Apply:** https://jobs.lever.co/appzen/060250ef-ee0c-418c-925e-679ed58669ca ## Job description AppZen is the leader in autonomous spend-to-pay software. Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions. It seamlessly integrates with existing accounts payable, expense, and card workflows to read, understand, and make real-time decisions based on your unique spend profile, leading to faster processing times and fewer instances of fraud or wasteful spend. Global enterprises, including one-third of the Fortune 500, use AppZen’s invoice, expense, and card transaction solutions to replace manual finance processes and accelerate the speed and agility of their businesses. To learn more, visit us at [www.appzen.com](http://www.appzen.com/). About the role : We are seeking a skilled and experienced Data Engineer to join our team. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure and pipelines. You will collaborate with cross-functional teams to gather requirements, build scalable solutions, and ensure the availability and reliability of our data systems. Responsibilities: ●Design, develop, and implement scalable and efficient data pipelines in the cloud using Python, SQL, and relevant technologies. ● Build and maintain data infrastructure on platforms such as AWS, leveraging services like EMR, Redshift, and others. ● Collaborate with data scientists, analysts, and other stakeholders to understand their requirements and provide the necessary data solutions. ● Develop and optimize ETL (Extract, Transform, Load) processes to ensure the accuracy, completeness, and timeliness of data. ● Create and maintain data models, schemas, and database structures using PostgreSQL and other relevant database technologies. ● Experience reporting tools such as Superset, (good to have : Domo, or Tableau, Quicksight) to develop visually appealing and insightful data visualizations and dashboards. ● Monitor and optimize the performance and scalability of data systems, ensuring high availability and reliability. ● Implement and maintain data security and privacy measures to protect sensitive information. ● Collaborate with the engineering team to integrate data solutions into existing applications or build new applications as required. ● Stay up-to-date with industry trends, emerging technologies, and best practices in data engineering Qualifications : ● Bachelor's or master's degree in Computer Science, Engineering, or a related field. ● Strong proficiency in Python and SQL for data manipulation, analysis, and scripting. ● Extensive experience with cloud platforms, particularly AWS, and working knowledge of services like EMR, Redshift, and S3. ● Solid understanding of data warehousing concepts and experience with relational databases like PostgreSQL. ● Familiarity with data visualization and reporting tools such as Superset, Domo, or Tableau. ● Experience with building and maintaining data pipelines using tools like Airflow. ● Knowledge of Python web frameworks like Flask or Django for building data-driven applications. ● Strong problem-solving and analytical skills, with a keen attention to detail. ● Excellent communication and collaboration skills, with the ability to work effectively in a team environment. ● Proven ability to work in a fast-paced environment, prioritize tasks, and meet deadlines. ● If you are a talented Data Engineer with a passion for leveraging data to drive insights and impact, we would love to hear from you. ## About AppZen, Inc. ## Company Overview - **One-liner**: AppZen provides AI-powered finance automation for accounts payable, expense auditing, and corporate card compliance, helping enterprises automate and control spend. - **Entity Type**: Private (Series D) - **Headquarters**: San Jose, California, United States - **Founded**: 2012 - **Founders**: Anant Kale (Co-Founder & CEO), Kunal Verma (Co-Founder & CTO) ## Core Business - **Primary industries**: Software Development; AI-powered Finance Automation; Spend Management - **Target customers**: B2B, Enterprise – global companies, including one-third of the Fortune 500, across higher education, life sciences, manufacturing, and more - **Mission**: "Empower teams with tools that simplify workflows, reduce costs, and drive smarter decisions" using AI for finance operations ## Products & Services - **Mastermind AI Automation Platform**: The core AI platform that automates finance workflows, integrating with existing AP, expense, and card systems to read, understand, and make real-time decisions on spend data. - **Expense Audit Automation**: AI-driven auditing of employee expense reports to catch errors, fraud, and non-compliant expenses. - **Accounts Payable Automation**: End-to-end invoice processing, approval workflows, and duplicate payment prevention, covering the entire spend-to-pay process. - **Corporate Card Compliance**: Real-time monitoring and auditing of corporate card transactions to ensure policy compliance and reduce risk. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company) - **Key Metric**: Total Funding – $280.6M across 7 rounds (Series D); Estimated Annual Revenue – $25.1M (per LinkedIn data) - **Notable Investors/Partners**: 500 Global, Resolute Ventures, Redpoint (led Series A); also integrates with SAP Concur, Oracle, NetSuite, and other major finance ecosystems - **Growth Signals**: - Trained on $50B+ in enterprise spend - One-third of the Fortune 500 are customers - 312 employees across 5 countries, with offices in the US, UK, and India - LinkedIn followers growth of +36.1% yearly, indicating rising brand awareness - Active hiring across AI engineering, implementation, and GTM roles (6 open positions at time of research) ## Competitive Advantages - **Patented AI purpose-built for finance**: Unlike generic automation tools, AppZen's AI is trained on massive enterprise spend data and understands the context of financial documents, continuously learning and adapting to each customer's unique needs. - **Full spend-to-pay coverage**: Handles everything from inbox management to invoice processing and expense auditing, reducing the need for multiple point solutions. - **Enterprise trust and scale**: With one-third of the Fortune 500 as customers and over a decade of domain expertise, AppZen has deep credibility in the finance automation market. - **Fully auditable and transparent**: AI decisions and outputs are designed to be auditable, which is critical for compliance-driven finance teams. - **Strong integration ecosystem**: Seamlessly works with existing AP, expense, and card workflows, including major ERPs and expense platforms. ## Strategic Focus - **Expanding agentic AI capabilities**: AppZen is building "agentic AI agents" for accounts payable and expense management, moving beyond simple automation toward autonomous decision-making. - **Enhancing the Mastermind platform**: Continuously adding new features and capabilities to redefine finance AI, with a focus on predicting issues, identifying opportunities, and optimizing workflows. - **Global growth and customer success**: Maintaining a strong presence in the US, UK, and India while deepening relationships with enterprise customers and scaling customer success operations. - **Talent acquisition in AI and engineering**: Actively hiring for AI engineers, backend developers (Golang), and integration specialists to support product innovation. ## Why Work Here - **Culture**: Emphasizes a "sustainable company where innovative minds create immediate impact in an engaging, collaborative atmosphere" – with values around inclusion, respect, empathy, and giving back to the community. - **Work model**: A mix of on-site and hybrid roles, with offices in San Jose (CA), Phoenix (AZ), Pune (India), and London (UK). Specific policies vary by role and location. - **Engineering culture**: Focus on solving complex AI challenges in finance, with opportunities to work on proprietary AI models, large-scale spend data, and integrations with major enterprise systems. - **Career development**: The company highlights that employees' ideas are valued, growth is supported, and team members are empowered to do their best work. - **Employee feedback**: Employer rating is 3.4/5 on LinkedIn (244 reviews), with culture rated 3.5 and compensation 3.6 – indicating a collaborative environment with competitive pay, though work-life balance scores slightly lower (3.2). - **Impact**: Opportunity to work on products used by one-third of the Fortune 500 and to shape the future of finance AI. ## Sources 1. [AppZen Careers](https://www.appzen.com/careers) 2. [AppZen About Us](https://www.appzen.com/about-us) 3. [AppZen Jobs on Lever](https://jobs.lever.co/appzen) 4. [AppZen LinkedIn](https://linkedin.com/company/appzen) 5. 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