Mercury
Mercury
Mercury एक फिनटेक और बैंकिंग सॉफ़्टवेयर कंपनी है, जिसकी स्थापना 2017 में हुई थी और जो स्टार्टअप तथा छोटे से मध्यम आकार के व्यवसायों के लिए वित्तीय उपकरण बनाती है। इसका प्लेटफ़ॉर्म एक ही डिजिटल अनुभव में व्यावसायिक चेकिंग और बचत खाते, ट्रेज़री उत्पाद, व्यावसायिक क्रेडिट कार्ड, खर्च प्रबंधन, भुगतान, इनवॉइसिंग, अकाउंटिंग इंटीग्रेशन और AI-संचालित वर्कफ़्लो ऑटोमेशन को जोड़ता है। Mercury API और डेवलपर टूल भी प्रदान करती है, जिनमें टीमों, एजेंसियों, ईकॉमर्स ब्रांडों, वेंचर कैपिटल फंडों और क्रिप्टो व्यवसायों के लिए डिज़ाइन किए गए वर्चुअल कार्ड और विस्तृत नियंत्रण जैसी सुविधाएँ शामिल हैं। बैंकिंग सेवाएँ FDIC-बीमित बैंकों के साथ साझेदारी के माध्यम से प्रदान की जाती हैं।

Senior Analytics Engineer at Mercury Remote United States

Join Mercury as a Senior Analytics Engineer building scalable data pipelines, dimensional data marts, and AI-native analytics foundations. The role supports agentic tools, self-service analytics, governance, and data products for a fintech business.

विवरण

  • Build scalable data pipelines and business-aligned dimensional data marts in partnership with Data Science, Engineering, Product, and Operations
  • Help develop and drive adoption of agentic tools such as Mercury’s AI Data Analyst, Hermes, and dbt Agent, Ralph
  • Advance self-service analytics by implementing workflows, teaching Analytics Engineering practices, and supporting peers
  • Deliver the data and analytics products required to support Mercury’s bank charter
  • Help shape strategies for data quality, governance, and security
  • Contribute to Analytics Engineering standards, processes, and best practices
  • Create shared data foundations for decision-making, automation, and measurement across Mercury
  • Enable durable data products, rapid experimentation, propensity modeling, agentic workflows, and data-informed customer experiences

आवश्यकताएँ

  • At least four years of experience in Analytics Engineering or Data Engineering
  • Expert-level experience with a modern data stack, including tools such as Fivetran, Airflow, Snowflake, dbt, Omni, or Hex
  • Strong SQL skills
  • Professional experience using Python
  • Proficiency with AI agents for accelerating analytical and engineering work
  • Experience applying dimensional modeling principles and designing data systems for scale
  • Ability to prioritize reusable, scalable solutions
  • Track record of producing readable code, robust tests, and thorough documentation
  • Banking or financial services experience is an additional qualification
  • Experience with agentic development or analytics workflows is an additional qualification
  • Familiarity with data governance, compliance, and security practices is an additional qualification
  • Full-stack perspective and willingness to solve problems end to end is an additional qualification

लाभ

  • Base salary
  • Equity through stock options or restricted stock units
  • Employee benefits
  • Reasonable accommodations during the recruitment process for applicants with disabilities or special needs

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