Senior Data Engineer

Voyager Technologies is a space, defense, and national security technology company developing mission-critical solutions for human progress and national security. The Senior Data Engineer will design and implement enterprise data integrations, workflows, and pipelines connecting manufacturing, ERP, PLM, MES, and quality systems while enabling traceability, operational visibility, and regulatory compliance. This senior individual contributor will also support cloud infrastructure, data quality, compliance, documentation, and cross-functional manufacturing initiatives.

Responsibilities:

• Design, build, and maintain data integration workflows connecting MES, ERP, PLM, QMS, and supporting enterprise platforms
• Develop and own integration pipelines between systems such as Apriso (Delmia), NetSuite, ForProject, Empower, and 3DX PLM
• Architect and implement API-based, event-driven, and batch integration patterns across cloud and on-premises manufacturing systems
• Build and maintain data flows that support production execution, material management, traceability, scheduling, and quality processes
• Partner with ERP, MES, and PLM implementation teams to design integration points, data contracts, and transformation logic ahead of go-live milestones
• Support multi-site rollout strategies by building reusable, configurable integration templates that can be replicated across facilities
• Design data workflows that support grain-level and sublot traceability across the full manufacturing lifecycle
• Build pipelines that enforce compliance checkpoints including pot life hard stops, e-signature requirements, and hold point validations
• Integrate with LIMS systems to support quality data capture, lab result ingestion, and traceability linkage to production records
• Support automated generation of regulatory document packages (travelers, WARPs, and production records) through structured data workflows
• Develop integrations with PLC/SCADA and automated traceability systems where applicable
• Build and maintain scalable ELT/ETL pipelines for operational, analytical, and compliance reporting workloads
• Architect data flows from source systems through transformation and serving layers with full lineage, observability, and auditability
• Implement data quality frameworks including validation rules, anomaly detection, and SLA monitoring across all pipeline stages
• Define data models, naming conventions, and integration standards in collaboration with the Enterprise Architect and platform teams
• Manage infrastructure-as-code for data integration resources using Terraform or CloudFormation
• Ensure all data workflows and integration designs support applicable regulatory and quality standards including AS9100, DCMA, ATF, and ITAR/EAR
• Build audit-ready data trails and evidence packages that satisfy regulatory inspection and certification requirements
• Partner with compliance, cybersecurity, and quality teams to ensure data handling controls meet organizational and contractual obligations
• Enforce CUI data classification and handling requirements across all integrated systems and pipeline stages
• S. Person required, as defined under ITAR/EAR
• Administer and optimize cloud data services across Azure Government and AWS GovCloud supporting manufacturing data workloads
• Build and maintain CI/CD pipelines for deploying integration artifacts, data pipelines, and configuration changes across environments
• Write and maintain automation scripts in Python and/or PowerShell to support integration operations, data validation, and workflow automation
• Monitor integration health, data freshness, and pipeline performance; implement proactive alerting and self-healing mechanisms
• Work closely with operations, engineering, IT, and compliance stakeholders to translate manufacturing requirements into data integration solutions
• Create and maintain thorough documentation for all integration designs, data dictionaries, workflow diagrams, and compliance evidence
• Participate in architecture reviews, sprint planning, and cross-functional implementation working groups
• Serve as a technical resource and mentor for junior data engineers and integration analysts on the team

Requirements:

• 12-15 plus years of data engineering or enterprise integration experience, with significant time in manufacturing or industrial environments
• Demonstrated hands-on experience integrating MES and ERP platforms in a production manufacturing setting
• Experience supporting regulated manufacturing environments (aerospace, defense, ATF-licensed, or equivalent)
• Proven ability to deliver complex, multi-system integration projects from design through production go-live
• Able to operate at the intersection of manufacturing operations and data engineering - translates shop floor requirements into integration designs
• Strong communicator across technical and non-technical audiences including operations leadership, compliance teams, and external vendors
• Detail-oriented with strong documentation habits; treats integration artifacts as auditable, production-grade deliverables
• Self-directed and proactive in regulated environments where data accuracy and system reliability directly impact production outcomes
• Collaborative - experienced working across IT, engineering, quality, compliance, and external implementation partners
• S. Person required, as defined under ITAR/EAR
• Python - pipeline scripting, API integrations, data transformation, automation
• PowerShell - infrastructure automation, Windows/Azure environment scripting
• T-SQL / Spark SQL - complex query development, data modeling, transformation logic
• PySpark - distributed data processing for large manufacturing datasets
• Git - version control, branching models, code review workflows (required)
• Fully remote position; no geographical preference
• Occasional on-site visits to manufacturing facilities may be required during implementation phases and go-live support windows
• Occasional after-hours availability for system cutovers, integration deployments, and incident response
• Must comply with all applicable data handling, export control, and CUI policies
• To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) (22 CFR Parts 120–130) and the Export Administration Regulations (EAR) (15 CFR Parts 730–774), applicants for this position must be a U.S. Person: a US Citizen, a lawful permanent resident of the U.S., or a protected individual as defined by 8 U.S.C. § 1324b(a)(3)
• Applicants must be eligible to obtain any required export authorizations from the U.S. Department of State or the U.S. Department of Commerce
• Bachelor's degree in computer science, Information Technology, Data Engineering, or a related field highly preferred
• equivalent work-related experience with certifications
• Experience supporting multi-site technology rollouts strongly preferred
• Security clearance preferred; U.S. Person required, as defined under ITAR/EAR
• Microsoft Certified: Azure Data Engineer Associate (DP-203)
• Microsoft Certified: Azure Solutions Architect Expert
• HashiCorp Certified: Terraform Associate
• AWS Certified Data Analytics - Specialty
• Dassault Systems / Delima Apriso platform certification (or equivalent MES vendor training)
• NetSuite Suite Foundation or Administrator certification
• CompTIA Security+ (preferred for environments with compliance requirements)