427 Cybercoders jobs in Heiskell, TN

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      Production Manager (Salaried)

      Knox Area Rescue Minist

      Knoxville, TN 37918

      Paid Time Off
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      Information Technology Professional (IT Support)

      U.S. Navy

      Clinton, TN 37716

      Education AssistanceHealth InsuranceRetirement Benefit
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      QC/Specialist II

      CoorsTek

      Oak Ridge, TN 37830

      ~ 29 min Onsite

      • Input and analyze data and document data obtained during all quality inspection processes
      • Inputs and analyzes statistical data utilizing Infinity or other SPC software
      • Utilizes precision measuring equipment to accept or reject parts
      • Performs internal audits in accordance with Company and customer quality control standards
      • Operates inspection equipment; troubleshoots and resolves issues affecting quality of product
      • Train other employees as required and ensures inspection methods are consistent and performed in adherence to quality standards and processes
      • Performs visual and measurement inspection tests including calculating distances, angles, radius tapers, thread and gear data using complex measuring equipment
      • High School Diploma/GED
      • Approves finished products by confirming specifications, conducting visual and measurement tests
      • Reads and deciphers complex technical drawings and incorporates tight tolerances into part inspection process
      • Conducts training classes relating to inspection tools/equipment, processes, GD&T; and technical drawings
      • Works any and all shifts/days as required
      • 2-4 years of applicable product inspection experience
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      New, Posted 7 hours ago
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      Senior Systems Engineer, UDS Data Management - Central

      Dell

      Knoxville, TN 37902

      ~ 24 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.
      SmartExplore AI is experimental.

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