Senior Data Engineer

Voyager is an innovative space, defense, and national security technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space.

Forge the Future: Join Voyager Technologies The future belongs to those who build it. At Voyager Technologies, we’re building technologies that protect lives, expand frontiers and prepare us for what’s next. And we’re doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart. You’ll help lay the foundation for humanity's future.

Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We’re a company of doers, thinkers and builders, united by purpose and grounded in reality. If you want to put your skills to work where the stakes are real and the mission is bigger than any one person,forge the future with Voyager.

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. ## Enterprise 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. ## MES, 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 -

Where you can work from

This job is 100% remote, for applicants who live in the United States.