Sigma Software Vertex Logo

Sigma Software Vertex

Data Engineer

Reposted 3 Months Ago
In-Office
Foster City, CA, USA
Mid level
In-Office
Foster City, CA, USA
Mid level
The Technical Service Data Engineer translates engineering specifications into precise repair procedures within the ERP, utilizing CAD and ensuring data accuracy throughout engineering changes.
The summary above was generated by AI

Technical Service Data Engineer

Schedule: Monday to Friday, 8 am to 5 pm

We are looking for a Technical Service Data Engineer who would translate complex engineering specifications and 3D CAD data into high-precision repair procedures (Tasklists) within the ERP system. Acting as the bridge between Design Engineering and the Shop Floor, you ensure that every bolt, torque value, and Joint ID is accurately documented and maintained throughout the entire engineering change lifecycle.

Key Responsibilities

ERP Tasklist Authoring: Build and maintain detailed repair "Tasklists" in the ERP. This includes mapping specific Part Numbers, Joint IDs, and critical assembly values (e.g., torque, sequence,etc).

CAD Data Extraction: Use CATIA to navigate complex assemblies, identify components, and verify spatial requirements for repairs. You aren't just looking at drawings; you are digging into the 3D environment to determine "what else" needs to be removed or replaced.

Change Management (CM): Act as the Data Agent for Engineering Change Orders (ECOs). When engineering shifts a design, you analyze the impact on existing repair procedures and manually update the ERP to ensure the shop floor always has the latest data.

Technical Documentation: Synthesize engineering jargon into clear, logical repair steps, similar to a Technical Writer but with the mechanical depth of a repair technician.

Required Qualifications & Skills

Practical Repair Experience: You must have "hands-on" background in a repair or overhaul environment to understand the practicalities of a workshop.

Software Proficiency: * CAD: Advanced navigation in CATIA (V5/V6) or similar high-end PLM software.

ERP: Experience with SAP, Oracle, or similar (specifically routing/tasklist modules).

Precision Mindset: An obsession with data accuracy—specifically regarding Torque Values and Joint IDs, where a typo can lead to mechanical failure.

Analytical Detective Work: Ability to look at a Change Order and intuitively know which 15 Tasklists across the system need to be adjusted.

Education & Experience Requirements

Education: Bachelor’s Degree in Engineering (Mechanical, Manufacturing or Electrical).

Professional Experience: 4 to 6 years of progressive experience in a technical role, specifically within Repair & Overhaul (MRO) or heavy manufacturing environments.

Field Experience: Direct exposure to Repair Operations. You must understand the practical constraints of a workshop, such as tool accessibility, fastener galling, and safety protocols.

Systems Expertise:

ERP: Proven experience with SAP (PP/QM/PM modules), Oracle, or equivalent, focusing on master data, routings, and bill of materials (BOM).

PLM/CAD: Advanced proficiency in CATIA V5/V6 or 3DExperience for assembly navigation and part extraction.


Benefits

Health Care Plan (Medical, Dental & Vision)

Life Insurance (Basic, Voluntary & AD&D)

Paid Time Off (Vacation, Sick & Public Holidays)

Training & Development

Retirement Plan (401k, IRA)

Free breakfast and lunch

Sigma Software Vertex San Jose, California, USA Office

San Jose 75E Santa Clara St, San Jose, California, United States, 95113

Similar Jobs

Yesterday
Easy Apply
Hybrid
Santa Clara, CA, USA
Easy Apply
186K-265K Annually
Expert/Leader
186K-265K Annually
Expert/Leader
Cloud • Information Technology • Security • Software • Cybersecurity
Architect and implement enterprise-scale GenAI data platforms and pipelines for structured and unstructured data. Lead ingestion, transformation, enrichment, metadata extraction, chunking, embeddings, knowledge preparation, and serving workflows. Design AI-ready vector, graph, and hybrid knowledge systems supporting multimodal content and production RAG applications. Apply advanced retrieval, clustering, entity recognition, LLMOps, and agentic AI practices while providing technical leadership and hands-on Python software engineering.
Top Skills: Arize PhoenixCrewaiEmbeddingsGoogle AdkGraph DatabasesLanggraphLangsmithMlflowPythonRetrieval-Augmented Generation (Rag)Vector DatabasesWeights & Biases
8 Days Ago
Remote or Hybrid
United States
160K-260K Annually
Expert/Leader
160K-260K Annually
Expert/Leader
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Leads enterprise-scale data architecture across batch, streaming, warehouse, lakehouse, transactional, AI, and vector-store use cases. Establishes data quality, governance, lineage, observability, access-control, and reliability standards. Defines AI-enabled data engineering patterns, mentors engineers, resolves complex architecture issues, and influences cross-functional roadmaps. Requires hands-on technical leadership and 15+ years of software, data engineering, or architecture experience.
Top Skills: DbtGcp Bigquery
16 Days Ago
Hybrid
San Francisco, CA, USA
179K-200K Annually
Senior level
179K-200K Annually
Senior level
Artificial Intelligence • Productivity • Software
Build reliable ETL infrastructure, scalable data pipelines, and trusted datasets serving product and business teams. Partner with data scientists and stakeholders to model data, monitor pipelines, define delivery SLAs, automate workflows, and enable self-service analytics and AI-assisted data exploration. The role requires strong SQL, cloud data-platform expertise, object-oriented programming, data modeling, and experience delivering production-scale data solutions.
Top Skills: AirflowAWSAzureDbtGCPHiveJavaNoSQLOrcParquetProtobufPythonRedshiftScalaSnowflakeSparkSQLThrift

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account