• This position is responsible for managing and organizing data to support all business processes to achieve corporate and departmental goals • This position is responsible for identifying trends and communicating these trends clearly to others in the organization to ensure data is properly used • Core activities include troubleshooting data issues, and assisting the data architect to develop, align, and maintain architectures with business requirements • Develop data pipelines from various data sources to target locations — including MES, ERP, PLM, SCADA/historian, and quality systems — to support the enterprise Digital Thread, including formatting, cleaning, and updating data as the business needs • Develop and maintain accurate data structure and mapping documentation, including metadata aligned to specific business requirements • Design and publish domain-oriented, reusable data products aligned to a data mesh model with clear ownership, SLAs, and discoverability — standardizing data structure and types across ETL/ELT processes • Understand the big picture, set the right scope, and collaborate with the data architect, application engineers, integration specialists, business analysts, and other technical experts to ensure adequate content delivery to authorized users in a timely, effective, and secure manner • Manage the full life cycle development for the current ETL/ELT deployments, applying software-engineering practices to data pipelines — version control (Git), automated testing, code review, CI/CD, and Infrastructure-as-Code (e.g., Terraform, CloudFormation) — to ensure repeatable, auditable deployments across environments • Partner with manufacturing operations, quality, and supply chain teams to deliver analytics on OEE, yield, scrap, throughput, engineering-change cycle time, time-to-release, and end-to-end product genealogy/traceability supported by the Digital Thread • Prepare AI/ML-ready datasets — including feature pipelines, dataset versioning, and curated knowledge sources for predictive quality, anomaly detection, and retrieval-augmented (RAG) use cases — in partnership with data science and AI teams

• Develop, maintain and optimize data pipelines using Python. • Design, build and maintain ETL/ELT processes. • Develop integration solutions between different data sources. • Model and structure data for Data Lake and Data Warehouse. • Work on ingestion, transformation and provisioning of data in an AWS environment. • Monitor and optimize performance of data pipelines and data processes. • Implement data engineering best practices, version control and code quality standards. • Collaborate with Analytics, BI, Data Science and Development teams. • Participate in defining the architecture of cloud data solutions. • Support incident resolution and continuous improvement of the data platforms.

Role Description The ideal candidate for this role is well-organized, analytical, and interested in developing expertise within enterprise systems and data management through SAP Global. While prior experience with SAP and data entry tasks are beneficial, they are not required – we are committed to training motivated and qualified candidates who demonstrate strong attention to detail and an eagerness to learn new systems and skill sets. - This position aligns with a structured three to five-year engagement with a confidential client with opportunities for additional work, scope, and duration beyond the initial phase. - Accurately identify, enter, update, and maintain data within the SAP system as dictated by the client. - Verify and review data for accuracy, completeness, and consistency. - Assist with data validation and maintenance. - Identify potential errors and misaligned data quickly and report those issues to the appropriate personnel. This is a remote position. Qualifications - Strong attention to detail and organization skills. Benefits - Health insurance - Signing bonus - Dental insurance - Flexible schedule Company Description

Principal Data Engineer Location: Glen Allen (Richmond), Virginia Work Arrangement: Hybrid (Telework permitted 2 days per week) Employment Type: Full-time Salary: $119,101–$140,000 USD annually Job Description: THIS NOTICE IS BEING PROVIDED AS A RESULT OF THE FILING OF AN APPLICATION FOR PERMANENT ALIEN LABOR CERTIFICATION. ANY PERSON MAY COMMENT OR PROVIDE DOCUMENTARY EVIDENCE BEARING ON THIS APPLICATION TO OFFICE LISTED BELOW: U.S. Department of Labor Employment and Training Administration Office of Foreign Labor Certification 200 Constitution Avenue NW, Room N-5311 Washington, DC 20210 TITLE: Principal Data Engineer EMPLOYER: EAB Global, Inc. LOCATION: 11011 W Broad St., Glen Allen, VA 23060 (Telework permitted two days a week) DUTIES: Develop and deploy data integration and configuration procedures between client IT systems and EAB technology. Conceptualize, develop and deploy data extraction procedures working collaboratively with new product alpha clients. Develop recommendations for internal leadership around preferred data integration methodologies. Ensure barriers to timely completion of Data Integration Services projects are anticipated and overcome. Encapsulate findings through new product integration exercises for the overall benefit of EAB data integration effort. REQUIREMENTS: Bachelor's degree or equivalent in Computer Science, Information Technology, or a related field and 7 years of experience in data extraction pipelines (mapping, transformation, loading), including 5 years of client facing software implementation. Prior experience must include: SQL; Agile, Scrum, Kanban, Waterfall and hybrid delivery; Data extraction with Oracle and Microsoft SQL Server; Risk & issue management with RAID logs; Change control and impact analysis; Jira, Confluence, or Azure DevOps; MS Project or Smartsheet; SharePoint; Miro or Lucidchart; Teams or Slack; Managing multiple clients, projects, and stakeholders simultaneously; Serving as a project owner including managing communication progress to stakeholders, risk identification and mitigation, and facilitating problem solving; Creating status reports, roadmaps, and dashboards; and Coordinating UAT, release planning, and post-deployment support within formal SDLC or governance. TRAVEL: None SALARY: $119,101 to $140,000 per year BENEFITS: Health/Dental/Vision ins., 401(K), PTO, Life/Disability Ins. & more. TO APPLY: Send your resume to recruiting@EAB.com and include reference number #216.