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Minimum of 3 to 5 years of related work experience, leading smaller projects or process improvements, mentoring junior staff
Effective communication skills to collaborate with technical and non-technical stakeholders
3+ years of experience in PLM administration, engineering services, or related technical role
Strong knowledge of CAD systems (e.g., SOLIDWORKS, Inventor, AutoCAD) and integration with PLM
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field
Excellent communication, facilitation, and cross-functional collaboration skills
Advanced proficiency with PLM tools; SAP PLM and ECTR experience is strongly preferred

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Senior Manufacturing Engineer

Trane Technologies

Clarksville, TN 37040

~ 52 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Project Management, Process Automation and AutoCAD or similar design software experience.
Aptitude for mechanical/electrical application as related to equipment/processes.
A minimum of 5 years engineering experience in a manufacturing environment.
Ability to interpret engineering drawings and quickly assess manufacturing issues related to design, tolerancing, equipment performance, etc.
Bachelor's degree in engineering preferred.
Understanding of part structure (BOMs, routings, etc.) and manufacturing environment documentation (standard work, process maps, production floor layouts, time studies, etc.)
This is a Safety Sensitive Role.

SmartExplore AI is experimental.

New, Posted 2 hours ago

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Geotechnical Senior Project Engineer

ECS Southeast, LLP

Clarksville, TN 37040

New, Posted 2 hours ago

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Marine Estimator

Garney Construction

Nashville, TN 37247

Health InsurancePaid Time OffRetirement Benefit

New, Posted 22 hours ago

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Senior Systems Engineer, UDS Data Management - Central

Dell

Nashville, TN 37244

~ 36 min Onsite

Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas:
Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns.
Competitive positioning
Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics).
Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level).
Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse).
Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures.
Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics.
Can translate ambiguous business problems into clear data and analytics use cases.
Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win.
Enterprise BI modernization/self-service analytics
Advanced analytics / data science enablement
Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering).
Compensation
Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models.
Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers.
Storytelling & communication
Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA).
Cloud data warehouse or lakehouse migrations
Consulting Skills
Demo & POC excellence
Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100, which includes base salary and potential commissions.
GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications
Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features.
Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats
Real-time or streaming analytics
Analytics, BI, and data science
Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools.
5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure.
Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar).
Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences.