MESO SCALE DIAGNOSTICS, LLC.

Data Engineer

• 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

Senior Data Engineer

Analyst

• Lead functional design, requirements analysis, codeless BMIDE configuration, workflow design, and user acceptance testing
• Partner with company stakeholders to elicit, analyze, and document business requirements
• Translate business requirements into Teamcenter functional specifications
• Configure Teamcenter using codeless BMIDE
• Lead migration from Aras to Teamcenter X
• Author and maintain functional specifications
• Lead user acceptance testing (UAT)
• Support Active Workspace stylesheet, command, and view configuration
• Provide tier-3 functional support for production Teamcenter incidents
• Mentor junior analysts and end-user power-users
• Contribute to PLM roadmap planning

Senior Functional Analyst – TeamcenterX

Software Engineer

• Own the technical architecture for Teamcenter X customizations, integrations, and extensions across server-side, AWC, and integration layers
• Lead the design, development, and unit-testing of Teamcenter X server-side customizations
• Lead migration from Aras to Teamcenter X
• Set technical standards, lead architectural decisions, and ensure supportability and validation
• Architect and review Teamcenter X codeful BMIDE extensions
• Drive Active Workspace Client (AWC) customization strategy
• Define workflow handler patterns and EPM handlers supporting engineering change
• Architect integrations between Teamcenter X and downstream/upstream systems
• Establish standards for technical design specifications and validation-supporting documentation
• Own the configuration management strategy for Teamcenter customization assets
• Serve as the escalation point for technical issues on production Teamcenter incidents
• Mentor senior and junior developers and lead technical reviews

Principal Developer, TeamcenterX

Cloud Engineer

• Lead, mentor, and develop the Cloud Engineering and DevOps teams: set technical direction, establish engineering standards and runbooks, conduct performance management and career development conversations, and recruit and onboard new talent
• Architect, build, and operate MSD’s AWS environment across multiple accounts using AWS Organizations, Control Tower, and a landing-zone reference architecture
• Stay deeply hands-on: write and review production Terraform, author CI/CD pipelines, debug production incidents, optimize cluster and database performance, and contribute code that the team will live with years
• Own and evolve MSD’s Infrastructure-as-Code standard (Terraform preferred; CloudFormation and CDK as needed)
• Operate and extend MSD’s container and compute platforms (Amazon ECS, EKS/Kubernetes, EC2, Lambda, and serverless services) and the tooling around them
• Design and operate MSD’s cloud networking foundation — VPC, Transit Gateway, Direct Connect, hybrid connectivity to on-prem and partner environments, Route 53, and edge services
• Own the CI/CD platform and developer-platform tooling that accelerates delivery while enforcing required quality, security, and validation controls
• Partner with Cybersecurity on cloud security engineering
• Lead Site Reliability Engineering (SRE) practices
• Partner on cloud-native solution design, application onboarding, and migration patterns
• Support MSD’s regulated environment
• Manage strategic vendor relationships and serve as the senior technical voice in vendor architecture and capacity discussions
• Develop and own the cloud platform roadmap; partner with IS/IT leadership on planning, budgeting, and capability investment decisions

Senior Data Engineer

Senior Functional Analyst – TeamcenterX

Principal Developer, TeamcenterX

Principal Cloud Engineer