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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manufacturing Data Systems Engineer - **Company:** Ion Storage Systems - **Location:** Beltsville, MD, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Airflow, Systems Engineering, Microsoft Azure, Backup Devices, Bash Shell, Business Systems, Code Generation, Code Review, Information Systems, Continuous Integration, Information Engineering, Data Governance, Extract Transform Load (ETL), Database Schema, Database Storage Structures, Software Debugging, Programming Tools, Supervisory Control and Data Acquisition (SCADA), Python (Programming Language), PostgreSQL, Microsoft SQL Server, Operational Databases, Windows PowerShell, Power BI, Cloud Services, Robotic Automation Software, Software Engineering, Software Systems, Technical Data Management Systems, Data Logging, Scripting, Large Language Models, Backend, Git, Containerization, Odoo, Kubernetes, Information Technology, Operational Systems, Data Management, Hardware Infrastructure, Software Version Control, Data Pipelines, Automation Anywhere, Docker - **Published:** June 6, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=2cfacddbdda92507 ## About the Role Do you have experience in Version control systems?, * Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent hands-on experience in manufacturing, data engineering, and backend systems. * 4+ years of hands-on experience building and operating production data systems, including SCADA (Ignition preferred), database schema design, ETL/ELT workflows and orchestration platforms, and dashboards. * Direct experience managing data in a manufacturing or industrial environment, with an understanding of manufacturing processes and workflows, working with production, lab, sensor, or other equipment-generated data and bridging the gap between raw machine output and analytics-ready datasets. * Hands-on experience with containerization, version control, and CI/CD workflows in a team setting. * Demonstrated ownership of operational monitoring, logging, alerting, backup recovery, and incident response for production systems. * Experience administering or supporting MES, ERP, PLM, QMS, or other manufacturing-traceability and production-operations platforms, and an understanding of the data they generate. * Track record of maintaining and improving existing systems, not just building greenfield. * Experience supporting cross-functional teams across Engineering, Operations, Quality, and Supply Chain. * Experience creating reports, dashboards, and KPIs, and gathering requirements to drive process improvements through software systems. Desirable Experience: * Experience operating in hybrid environments that span on-prem infrastructure and cloud services (Azure preferred) and thoughtful about where each system belongs. * Semantic models, dataflows, and downstream reporting infrastructure (Power BI preferred). * Internal application development experience - data entry UIs, sample/run trackers, equipment dashboards, or workflow apps tied to production systems. * Experience working in early-stage environments where you owned systems end-to-end. * Experience with regulated, quality-sensitive, or audit-driven data workflows (e.g. QC, automotive, aerospace, defense, life sciences). * Hands-on production use of AI coding assistants and/or agentic development tools with a clear point of view on where they help, where they don't, and how to use them responsibly. * Experience building agentic workflows, LLM-backed services, or AI-driven automation into production data or operations systems (RAG over internal data, MCP servers, evals, prompt/tool design). * Familiarity with specific platforms and tools used in our stack, such as Odoo ERP, MS SQL and Postgres queries and database structures, Dagster for data orchestration, and basic scripting (Python, PowerShell, Bash)., * Excellent critical thinking, problem-solving, and debugging skills, with discipline around documentation and continuous improvement. * Self-motivated and able to take full ownership of critical systems, including the unglamorous maintenance work that keeps them running. * Proactive in identifying and mitigating reliability, data-quality, and security risks. * Strong written and verbal communication, comfortable with both technical deep-dives and stakeholder updates. * Comfort working across IT/OT and manufacturing teams to translate production-floor problems into data engineering work. ## Description * Own the data platforms for our manufacturing environment (SCADA, schema design, ETL/ELT orchestration, dashboards, and data governance) and serve as primary administrator for manufacturing business systems (MES, ERP, PLM, QMS), managing access, permissions, and configuration. * Securely integrate manufacturing and lab systems including ceramic production, cell manufacturing, QC, and robotic systems, and the internal applications built around them. * Build and operate back-end services, internal tools, and the platform layer (VMs, APIs, Docker/K8s, git, CI/CD, backups), drive incidents to resolution, and lead implementation of new manufacturing tools, coordinating upgrades, testing, validation, and deployment with vendors and stakeholders. * Minimize single points of failure across the data stack through comprehensive documentation, backup/recovery procedures, cross-training, and engineering for maintainability. * Partner with Executive, IT/OT, R&D, Engineering, and Operations stakeholders to scope work, plan deliveries, and roll out changes safely. * Employ governed AI workflows across day-to-day engineering, including code generation, debugging, documentation, code review, and operational automation. * Serve as the primary point of contact for manufacturing systems support, develop training materials, and conduct user training. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Recruitment Reinvented: Bold strategies and the $10K signing incentive](https://www.wearedevelopers.com/videos/1068-recruitment-reinvented-bold-strategies-and-the-10k-signing-incentive) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [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) ## Related Articles - [Now is the time for industrialized software development](https://www.wearedevelopers.com/magazine/601-now-is-the-time-for-industrialized-software-development) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [What is Software Engineering?](https://www.wearedevelopers.com/magazine/289-what-is-software-engineering)