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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Data Engineer - **Company:** BALT MANAGEMENT GROUP LLC - **Location:** Irvine, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $130,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, ARM Architecture, Cloud Computing, Computer Literacy, Data Cleansing, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Visualization, Python (Programming Language), OpenFlow, Power BI, Standard Sql, Tableau (Software), Talend, Large Language Models, Snowflake, Generative AI, Data Strategy, Data Lakes, Data Management, Machine Learning Operations - **Published:** August 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3d78010c69b758f5 ## About the Role + 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. ## 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., * 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)