> Markdown version of [/jobs/ext/2715433-manufacturing-data-engineer](https://www.wearedevelopers.com/jobs/ext/2715433-manufacturing-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manufacturing Data Engineer - **Company:** Ion Storage Systems - **Location:** Beltsville, MD, United States - **Experience:** Expert - **Salary:** $95,000.0 - $120,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Windows, Artificial Intelligence, Big Data, Databases, Data Infrastructure, Extract Transform Load (ETL), Software Debugging, Linux, Github, MariaDB, Microsoft SQL Server, Operational Databases, Raw Data, SQL Databases, Technical Data Management Systems, Universal Asynchronous Receiver/Transmitter, Data Processing, Data Ingestion, Odoo, Bare Metal, Free and Open-Source Software, Data Pipelines - **Published:** September 4, 2026 - **Apply:** https://www.careerjet.com/jobad/usf1534410ca29cea108bd1437c250d503 ## About the Role through schema design. Responsibilities: Build and own data ingestion from production equipment, lab instruments, and sensors into our databases - protocols, drivers, edge collection, whatever it takes to get the data off the machine.Support the stand-up of our Odoo MES: connecting equipment and batch records to the database layer, integrating MES data with the rest of the platform.Design and maintain SQL schemas and the transformation layers (bronze/silver/gold) that make raw data analyzable and trustworthy.Build and operate ETL/ELT pipelines and orchestration; monitor them; fix them when they break.Analyze stored data and partner with R&D, Engineering, Quality, and Operations to turn floor problems into data solutions.Work AI-natively toward meaningful targets, not using AI the for the sake of AI. ION runs on Claude - Claude Code is a first-class tool here, and we expect you to use AI-assisted development thoughtfully and productively across coding, debugging, and documentation. Required Experience: Solid experience building and operating production data pipelines and databases: schema design, SQL, ETL/ELT, orchestration.Comfort at the IT/OT boundary - you've pulled data off physical equipment (industrial, lab, sensor, or serious hobbyist hardware) or you're genuinely eager to.Scripting fluency and comfort in Linux and Windows environments.Real comfort with AI-assisted development - you've used tools like Claude Code and have opinions about where they help and where they don't.Cross-capability and ownership: you'll own the data domain end-to-end, backed by a deep bench of teammates fluent in PLCs, Linux, SQL, AI, and networking who jump in readily - supported leadership, not siloed. Nice to Have: Open-source contributions or an active GitHub - we'd love to see what you've built, whether that's, scientific/research software (beamline or instrument analysis tools, national-lab codebases, Rietveld/diffraction packages), industrial ## Description transformation, and coordination across our production and lab environment. You'll connect machines to databases, wire our MES (Odoo) and batch records into our data platform, design the SQL schemas that hold it all, and build the bronze * silver * gold pipelines that turn raw process data into the dashboards and analyses our engineers and executives use daily.This is a hands-on builder role reporting directly to the CTO. You won't be a ticket-taker in a big data org - you'll own the pipes.The best way we can describe who we're looking for: a Full-stack Problem Solver. You're the kind of person who loves the pride that comes from seeing a Zigbee light automatically turn on based on a homemade ESP32 mmwave sensor you built - and you also have a real opinion on the performance and stability of MariaDB on bare-metal Linux versus Microsoft SQL Server in a VM on a hypervisor, and can defend it. 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