Data Engineer

This is an On-site Role in Irvine California About Balt Our purpose is to improve the lives of 150,000 patients in 2026. Our story Balt is a rapidly growing pioneer in an exceptional field. For 45 years, Balt has been leading the way - collaborating with physicians and institutions to develop elegant medical devices. Our products are being used by physicians across the world, and we have 13 offices in 11 countries – and counting. We introduced one of the first neurovascular intervention devices in 1977 and now offer the world's broadest portfolio of medical devices for stroke. As the premier global neurovascular platform always seeking to expand beyond boundaries, we are now bringing our innovation to the peripheral vascular space. We are proud of our mission, our people, and the incredible work we accomplish together as we empower physicians to save lives. Why Join Balt? Join a passionate team, dedicated to making a difference. Working at Balt means giving meaning to your work! Pride is a strong part of our identity. We are a close-knit team, with strong mission, vision and values that guide our day-to-day. Recognition of work, respect, and our multicultural community are key aspects of the employee experience and contribute to our continued success. No matter the country, we take care of you. Would you like to be part of our story? Don't hesitate, come and join us! About this opportunity – Sr Data & AI Engineer - ON-SITE: IRVINE, CA Description The Data & AI Engineer at Balt is part of the Group Data division within the IT team and will provide data management solutions - and help evolve Balt's AI capabilities - to support the company's growth, particularly in the US. The Data & AI Engineer will help architect, build, and optimize data solutions for various business departments, while also exploring and introducing practical AI use cases as Balt's data and AI maturity grows. This role is as much about laying the groundwork for AI adoption as it is about hands-on data engineering. Job Responsibilities: Data Collection and Processing Gather requirements from various departments and identify necessary sources of data. Plan a scalable architecture to support rapid growth in the US, accommodating new topics or solutions - including future AI use cases. Implement technical solutions for data collection, transformation, storage, and display, in accordance with the defined architecture at the Group Data level. Establish automated processes and ensure proper monitoring and operation of these processes. Data Quality and Governance Participate in defining and implementing the Group's data management strategy. Promote this strategy to internal customers in the US. Define the development platforms and tools to support this strategy. Manage data lifecycle in accordance with defined policies. Industrialize and automate data cleansing. Support Key Users in using the data provided. Implement and monitor safety rules for data exposure. AI Exploration & Enablement Identify practical, low-risk opportunities to apply AI (e.g., automation, forecasting, natural-language reporting, or GenAI-assisted analytics) to business problems. Evaluate and pilot AI/ML tools and platforms that fit within Balt's existing Snowflake and Tableau ecosystem (e.g., Snowflake Cortex) before recommending broader adoption. Prepare and structure data so it's AI-ready as the organization's AI capabilities mature. Partner with business departments to test small-scale proofs of concept and help set realistic expectations about what AI can and can't do. Help define early data governance and safety guardrails for any AI use cases as they're introduced. Daily-Run Activities Support and manage external service providers. Maintain the Group's data environment in operational condition: ETL, Data Lake, MDM, etc. Stay informed about industry and technology advancements in the data and AI fields and bring forward relevant ideas. Write technical specifications as needed. Present the status of ongoing actions to the IT team, users, or the Data Management Committee. Qualification Requirements: Skills: 5+ years of development experience with Snowflake and Talend Cloud 5+ years of development experience with data visualization tools such as Tableau or Power BI 5+ years of expert-level SQL skills Experience with Openflow and Python Curiosity about and some exposure to AI/ML or GenAI tools (e.g., experimenting with LLMs, Copilot-style tools, or Snowflake Cortex) - no prior production AI experience required, but genuine interest and aptitude to learn is important Strong communication skills - written, verbal, in-person, and remote Strong presentation skills - able to explain technical concepts clearly and concisely, including non-technical stakeholders Pre-requisites / Job Experience: Minimum 5 years of experience as a Data Engineer performing technical work such as setting up workflows, managing repositories, and managing data infrastructure Technical degree or equivalent certification (degree in CS or related field, or relevant technical certifications) Experience working in medical device and/or manufacturing industries a plus Physical Requirements: Extended periods of sitting or speaking. Light lifting. Occasional international travel, mainly to Europe (expected 1-2 times annually) Heavy computer use. Must adhere to the company’s safety practices by performing work safely and in accordance with established standards. Work Environment: Working conditions are normal for an office environment. The above information on this description have been designed to indicate the general nature of work performed by employees within this position. This job description is only a summary of the typical functions of the job, not an exhaustive or comprehensive list of all possible responsibilities. tasks, and duties, and does not limit the assignment of additional duties for this position. Balt Group is an Equal Employment Opportunity employer. More information please go to Pay Range $130,000—$150,000 USD #J-18808-Ljbffr