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The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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General knowledge of engineering concepts of cloud platforms (e.g. AWS, GCP, Azure, GovCloud, OCI & DISA cloud) is a plus. Experience must include a minimum of 3 years experience in a support & operations or design & engineering role in any of the following areas: access management or network security technologies, servers, networks, Network communications, telecommunications, operating systems, middleware, disaster recovery, collaboration technologies, hardware/software support or other infrastructure services role; or any combination of education and experience, which would provide an equivalent background.
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Master's in data science, computer science, software engineering, applied mathematics, or related technical curriculum. Bachelor's degree in computer science, data science, software engineering, or a related field involving software development.
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Experience across the AI/ML lifecycle from data collection and curation to production, deep learning, TensorFlow, Python, NLP, data engineering, MLOps, and/or, AI governance/ethics.
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Shall have at least three (3) years of specific software engineering experience related to front-end and back-end applications and/or data services. Have the ability to perform, but not limited to, automation and engineering tasks, AI/ML implementation, data, infrastructure/operations, and security engineer tasks in cloud environments.
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Employs mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and / or other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.
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Dominion Energy is seeking motivated and experienced Engineering candidates to be part of the Electric Transmission Quality Assurance group. All positions are located in Glen Allen, VA. Positions are available within two of our core engineering teams: Substation Engineering or Transmission Lines Engineering.
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Interface with field teams gathering substation related or transmission lines related equipment ratings data. Possess a 4-year degree in Engineering (non-ABET accredited), Physics, Chemistry, Math or Engineering Technology and a post-graduate Engineering degree from an institution where the undergraduate degree in the same Engineering discipline is ABET-accredited based on the year the Engineering program was accredited by ABET, or.
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Data Engineering technologies (e.g., Spark, Hadoop, Kafka) More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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A Master's or higher degree in STEM (Computer Science, Statistics, Data Science, Engineering, Science, or related analytical field) with graduate coursework in statistics and data mining.
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He/She will apply NESC, ASCE, ACI and other applicable standards in the engineering and design of electrical overhead and underground systems, voltage conversion projects, new capacity projects, and infrastructure replacement projects.
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Broad understanding of Natural Language Processing and Machine Learning concepts related to enhanced unstructured data processing is preferred. B.S. in Computer Science, Systems Engineering, Management, or other related or equivalent experience.
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Our vertically integrated ownership of sensor data and cross-disciplinary electrical engineering, software development, and data processing skillset allows us to safeguard electric grid reliability through 24/7 fault analysis, thorough records of past disturbances, and high-resolution historical voltage and current data.
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Find even more open roles in Ethical Hacking, Pen Testing, Security Engineering, Threat Research, Vulnerability Management, Cryptography, Digital Forensics and Cyber Security in general - ordered by popularity of job title or skills, toolset and products used - below.
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The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault.
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data engineering jobs in Virginia, MN
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