The Senior Data Engineer is responsible for designing and implementing the data workflows, integrations, and pipelines that connect enterprise manufacturing, ERP, PLM, MES, and quality systems into a cohesive, governed data ecosystem. This role is critical to enabling end-to-end traceability, operational visibility, and regulatory compliance across multi-site manufacturing operations.
The ideal candidate brings deep experience integrating complex enterprise platforms in
regulated manufacturing environments, is fluent in data engineering best practices, and can operate effectively across engineering, operations, IT, and compliance teams. This is a senior individual contributor role with high organizational visibility and direct impact on production operations.
This is a remote role based in the US and requires the ability to maintain or obtain a DOD clearance. Key ResponsibilitiesEnterprise System Integration- 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.
Manufacturing Data Workflows & Traceability- 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.
Data Pipeline Development & Architecture- 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.
Compliance & Regulatory Data Support- 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.
Cloud & Infrastructure- 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.
Collaboration & Documentation- 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.
Technical SkillsMES, ERP & Enterprise Platforms- MES: Apriso (Delmia) - production execution, material management, traceability, regulatory enforcement; DELMIA manufacturing operations
- ERP: NetSuite - manufacturing, inventory, procurement, and financial data integration
- PLM: 3DX (Dassault Systems) - product lifecycle, BOM, and engineering change integration
- Supporting: ForProject, Empower, or equivalent program/project and compliance management platforms
- Quality: LIMS integration, QMS platforms, CAPA, FAI/FAIR data flows
Data Integration & Pipeline Tools- ETL/ELT pipeline development - Azure Data Factory, Apache Airflow, dbt, or equivalent
- API integration - REST, SOAP, GraphQL, OData; MES and ERP vendor API experience
- Event-driven integration - Azure Event Hubs, Service Bus, Kafka, or equivalent messaging platforms
- iPaaS / middleware - Azure Integration Services, MuleSoft, Dell Boomi, or equivalent
- EDI and flat-file integration patterns for legacy manufacturing system connectivity
Cloud Platforms- Azure Government: Azure Data Factory, Azure Synapse Analytics, ADLS Gen2, Azure Functions, Azure Monitor
- AWS GovCloud: S3, Glue, Lambda, Step Functions, RDS
- Compliance configurations for regulated cloud environments
Scripting & Programming (Required)- 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
Data Architecture & Modeling- Relational and dimensional data modeling - star schema, snowflake schema, operational data stores
- Manufacturing data models - BOM structures, routing, traceability hierarchies, lot/serial genealogy
- Medallion architecture (Bronze/Silver/Gold) for operational and analytical workloads
- Data lineage, metadata management, and cataloging - Microsoft Purview or equivalent
DevOps & Source Control- Git - version control, branching models, code review workflows (required)
- CI/CD - Azure DevOps Pipelines, GitHub Actions
- IaC - Terraform, CloudFormation, or Bicep
- Docker / Kubernetes basics for containerized integration workloads
Industrial & Automation Systems- PLC/SCADA data integration - OPC-UA, historian databases (OSIsoft PI or equivalent)
- Automated traceability system integration - barcode, RFID, vision system data ingestion
- Manufacturing execution data patterns - work orders, routing steps, material consumption, quality holds
If your experience aligns with our basic qualifications and you are inspired by our mission, we'd like to connect. If you don't see the right role right now, Join Our Talent Community and stay connected as we continue to build what's next. QualificationsEducation & Experience- Bachelor's degree in computer science, Information Technology, Data Engineering, or a related field highly preferred or will consider equivalent work-related experience with certifications.
- 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.
- Experience supporting multi-site technology rollouts strongly preferred.
- Security clearance preferred; U.S. Person required, as defined under ITAR/EAR.
Soft Skills- 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.
Preferred Certifications- 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)
Working Conditions- 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.
- Active participation in sprint-based delivery against a defined implementation roadmap.
- Must comply with all applicable data handling, export control, and CUI policies.
The good faith base salary rangefor this role is
$163,000-$205,000 at the time of this posting. Where you fall within the range depends on your experience, skills, and location. This range reflects base salary only and does not include benefits or bonus/incentive. This range may be adjusted in the future.
Voyager offers a highly competitive total compensation package designed to support the well-being, growth, and success of our employees. Employees benefit from a flexible and comprehensive rewards program that supports both professional and personal well-being.
- Flexible Time Off (FTO), empowering employees to take the time they need to recharge and maintain a healthy work-life balance
- Comprehensive medical, dental, and vision coverage for employees and their families, with a significant portion of premiums covered by the company and many benefits paid at 100% for employees
- Flexible, affordable gym memberships with 12,700+ options nationwide, including 24 Hour Fitness, EoS Fitness, Crunch Fitness, Anytime Fitness, Blink Fitness, Chuze Fitness, and more! No long-term contracts and FREE on-demand workout videos before you enroll
- 401(k) retirement plan with a 50% company match on contributions up to 8%, supporting long-term financial security
- Company wellness programs that support physical and mental well-being
- Additional voluntary benefits and employee support resources
- The opportunity to work alongside a highly talented team in an innovative, mission-driven environment
