--- title: 'Data Engineer at Turgon AI' canonical: 'https://feeny.ai/job/data-engineer-turgon-ai-delhi-rqbs62tq5vgf' type: 'job' last_seen: '2026-09-08' --- # Data Engineer at Turgon AI - **Company:** Turgon AI - **Location:** Delhi, India - **Employment:** full-time - **Work type:** onsite - **Posted:** 2025-12-05 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.lever.co/turgon-ai/c8584a86-16c4-4c1a-bdcb-494a029bd661 ## Job description ## About Us At Turgon, we believe there is a massive opportunity to reimagine how IT services are delivered by leveraging a combination of AI agents and humans to build, integrate and run the enterprise stack. AI agents that understand your existing infrastructure, processes and data and can rapidly help you modernize your infrastructure and generate insights about your business. That’s a $1.5T opportunity! We are a startup based in San Francisco and New Delhi, founded by serial entrepreneurs. We are building out our core team to re-imagine and build an AI Agent version of Accenture. If you are compelled by this vision, let’s chat! ## About the Role As a Data Engineer, you will be responsible for designing, building, and maintaining robust and scalable data pipelines. You will work with large datasets, ensuring data quality, and enabling data-driven decision-making across the organization. This role requires a strong understanding of data warehousing concepts, ETL processes, and modern data architecture. ## Responsibilities - Design, develop, and maintain scalable ETL processes for data ingestion, transformation, and loading. - Implement and enforce data quality standards and procedures to ensure accuracy and reliability of data. - Perform data cleaning, data profiling, and data validation to identify and resolve data discrepancies. - Develop and optimize data migration strategies for moving data between various systems. - Build and maintain reporting and analytics solutions, collaborating with stakeholders to understand their data requirements. - Implement and manage data solutions based on medallion schema architecture (Bronze, Silver, Gold layers). - Design and implement data integration solutions for various data sources. - Collaborate with cross-functional teams to support data-related initiatives. ## Requirements - 3+ years of experience in data engineering or a similar role. - Proficiency in SQL and experience with various database systems (e.g., PostgreSQL, MySQL, Snowflake). - Strong experience with ETL tools and data warehousing concepts. - Demonstrated experience with data cleaning, data quality, and data migration. - Familiarity with reporting and analytics tools (e.g., Tableau, Power BI). - Understanding of medallion schema architecture. - Experience with cloud platforms (AWS, Azure, or GCP) and their data services. - Excellent problem-solving and communication skills. Nice-to-Have Skills - Experience with big data technologies (e.g., Spark, Hadoop). - Familiarity with data orchestration tools (e.g., Airflow, Dagster). - Knowledge of Python or other scripting languages for data manipulation. - Prior startup experience. Education & Certification - We don’t actually care about qualifications as long as you are a rockstar engineer who wants to keep learning and make a massive impact. ## What We Offer - A values aligned culture: always learning mindset, collaborative environment and an entrepreneurial approach to getting things done. - Competitive, flexible salary based on experience - Equity via ESOPs - Opportunity to shape data strategy at an AI-native company. - Collaborative, high-energy startup culture in San Francisco and South Delhi - Access to top AI researchers worldwide to drive innovation and continuous learning. ## About Turgon AI ## Company Overview - **One-liner**: Turgon AI is the world's first AI-native system integrator that deploys swarms of specialized AI agents alongside human engineers to modernize legacy IT and data infrastructure for enterprises. - **Entity Type**: Private (Startup, Seed stage) - **Headquarters**: San Francisco, California, United States (with a secondary office in New Delhi, India) - **Founded**: 2024 - **Founders**: Ankur Varma (CEO), Nikhil Sama, Rudra Dalmia ## Core Business - **Primary industry/industries**: IT Services & Consulting, Enterprise Software, AI Infrastructure, Data Modernization - **Target customers**: Large enterprises (B2B) with legacy data systems, including those in finance, fintech, e-commerce, and traditional industries needing cloud migration and data unification. - **Mission or purpose statement**: To rewrite the data modernization playbook by using AI agents and human experts in tandem, delivering 5x faster delivery and 40% cost savings on data migration, system integration, data governance, and unification projects [linkedin.com](https://linkedin.com/company/turgon-ai). ## Products & Services - **Turgon Platform (The "Pod")**: A modular unit combining specialized AI agents (handling 80% of execution) and Forward Deployed Engineers (FDEs) for oversight. Capabilities include: - **Ontology Builder**: Autonomously scans call logs, transcripts, documents, schemas, and data flows to construct a complete architecture map without manual discovery. - **Pipeline Builder**: Automates code migration, schema mapping, and testing. - **Governance Layer**: Manages data lineage and compliance. - **Outcome**: Legacy system migration, cloud-native deployment, and analytics-ready platforms delivered in weeks, not years [turgon.ai](https://www.turgon.ai/platform). ## Market Standing - **Valuation/Market Cap**: Not disclosed (private startup). - **Key Metric**: 30 total employees; 18-50 employees reported on LinkedIn; rapid hiring in SF and Delhi. - **Notable Investors/Partners**: Founders are experienced (2x founders, ex-Bain, ex-PE investors, ex-Silicon Valley engineers). No external funding rounds publicly disclosed yet. - **Growth Signals**: Reported 5x faster delivery and 40% cost savings for clients. Active job postings for senior technical roles (Founding Engineer, Lead Engineer, Senior AI Engineer) and GTM roles (Founding Account Executive) indicating strong product-market fit and scaling phase. LinkedIn following of ~3,400 with 3% monthly growth. ## Competitive Advantages - **AI-Native Delivery Model**: Unlike traditional system integrators (Accenture, Deloitte) that rely on large teams of consultants, Turgon uses a "Pod" model where AI agents handle 80% of execution, drastically reducing cost and delivery time. - **Speed & Transparency**: Claims 5x faster delivery with full traceability of AI processes, avoiding the "black box" problem of typical AI deployments. - **Founder-Market Fit**: Leadership combines deep AI/engineering expertise (Nikhil Sama) with sales scaling experience (Rudra Dalmia) and venture-building (Ankur Varma), a rare mix in the integrator space. ## Strategic Focus - **Current priorities**: Scaling engineering and sales teams (hiring Founding Account Executives, Lead Engineers, and Generative AI Engineers). Expanding presence in both San Francisco and Delhi to build a global delivery model. - **Direction for growth**: Becoming the default AI-native integration partner for Fortune 500 companies migrating off legacy systems. Developing deeper agentic architectures to automate more of the modernization lifecycle. ## Why Work Here - **Culture highlights**: Described as "structured chaos, audacious goals, and shipping fast" by the leadership team [turgon.ai](https://www.turgon.ai/about). Serial entrepreneurs at the helm. Emphasis on "outcomes, not hours." - **Remote/hybrid/office policy**: Hybrid. San Francisco office (in-office or remote for some roles) and Delhi office (on-site). Forward Deployed Engineer roles are remote [jobs.lever.co](https://jobs.lever.co/turgon-ai). - **Notable perks or engineering culture**: Opportunity to work as a "Founding Engineer" or "Forward Deployed Engineer" on cutting-edge AI agent systems. Hands-on work with a modern tech stack: TensorFlow, PyTorch, MLflow, OpenAI, Snowflake, Python, TypeScript. Direct access to founders. Fast-paced, high-ownership environment typical of early-stage startups. ## Sources 1. [LinkedIn Company Page](https://linkedin.com/company/turgon-ai) 2. [Turgon AI Careers Page (Lever)](https://jobs.lever.co/turgon-ai) 3. [Turgon AI About Page](https://www.turgon.ai/about) 4. [Turgon AI Platform Page](https://www.turgon.ai/platform) 5. 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