Data Engineer

Docyt, a pioneering FinTech startup based in Silicon Valley, is seeking a skilled Data Engineer to join their innovative team. In this role, you will be at the forefront of designing and building robust data systems that will handle substantial financial data streams. You will develop and maintain data pipelines, ensure data quality, and work closely with stakeholders to deliver actionable insights that drive decision-making within the organization.

Docyt, pronounced "docket", is a super app that empowers businesses to take control of their financial data. They apply AI across the entire accounting tech stack, automating workflows, reconciling financial data, and generating real-time financial statements. Their mission is to provide businesses with complete, accurate, and real-time financial information to make informed decisions and thrive.

Key Responsibilities:

• Design, build, and maintain scalable and reliable data pipelines to support data ingestion and transformation processes
• Optimize data storage solutions and ensure efficient retrieval of data
• Implement data quality checks and frameworks to assure data accuracy and integrity
• Collaborate with cross-functional teams to assess and fulfill their data needs
• Explore and apply the latest technologies and best practices in data engineering

This role offers a unique opportunity to make a significant impact in the financial technology space, working with cutting-edge AI technologies and contributing to the growth of an innovative startup.