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The CPM Engineering team provides engineering solutions that enable the firm to manage third-party spend, data and automation, plan budgets, forecast financial scenarios, allocate expenses and support corporate decision making in-line with the firm’s strategic objectives.
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We are looking for adjunct faculty who can teach Graduate and Undergraduate courses in Information Systems and Technology (General IT, Software Development/Programming/Software Engineering Management, Data Management/Cloud Administration/Database, IT Project Management/Information Systems Management, Networking/Network Administration/Enterprise Network Management, Cybersecurity/Information Assurance/IT Security/Computer Security or Forensic Management.
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Hands-on expertise with any of the SAP Treasury core components (i.e. Cash management, Transaction manager, In-house cash, Risk analyzers, Liquidity planner, Hedge management and accounting, SWIFT integration, BCM, integration with financial accounting and other applications.
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Hands-on production experience with orchestration systems such as Airflow. Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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The Revenue Analyst supports the agency’s stability, through both financial and statistical analysis of our diverse medical services, with a focus on our 340B Program. 340B Revenue Management: Analyze complex financial and non-financial 340B revenue data from external pharmacies and suppliers, identifying trends, variances, and improvement opportunities.
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A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
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Stretch your capabilities and enhance learning with frontline, hands-on assignments. Designs are implemented using VHDL and support the following type of applications: gigabit serial interfaces, Radio Frequency (RF) and Electro-Optical (EO) Digital Signal Processing (DSP), control loops, data links, embedded processing, and processor interfaces.
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Hands-on engineering in oil and gas. 3 to 5 years of experience in mechanical or civil engineering, ideally with a focus on structural engineering and agricultural mechanization.
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Database administration or engineering on any platform. The Database Platform Engineering team is seeking an experienced Database Engineer with a DBRE-focused background to join its expanding team, which utilizes DevOps/Reliability Engineering philosophies.
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Kiewit Industrial is a rapidly growing team, is a multi-faceted and leading-edge division of Kiewit with best-in-class technical expertise focused on EPC and design-build delivery of industrial projects in markets such as Advanced Technology Facilities (ATF), Food & Beverage, Mineral Processing, Renewable Fuels, Pulp and Paper, Steel & Aluminum, Industrial Buildings, and Industrial Energy, Water and Utilities.
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Have experience in one or more cloud providers (preferably AWS) and provides direction and guidance to team on cloud security engineering. The Technical Manager - Cloud Security Engineering will manage and lead a team of technical security engineering experts as part of the DevSecOps program within Enterprise Security and Fraud.
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Our clients are enterprises as diverse as sophisticated financial institutions and start-ups, global public firms, and middle-market companies, as well as high net worth individuals, family offices, not-for-profit organizations, and entrepreneurial ventures across a variety of industries.
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Understanding of Engineering Simulation such as Finite Element structural Analysis (FEA), Computational Fluid Dynamics (CFD) and Thermal Analysis. Familiarity with reverse engineering practices to include 3D scanning and hand-surveying.
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Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight:Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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Advise clients on strategy and detailed Anti-Financial Crime use cases by leveraging insights from industry best practices. Gather and analyze key Anti-Financial Crime requirements, processes, design and develop data maps to meet the reporting needs of the specific regulation.
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hands on data engineering financial institutions jobs in Dallas, UT, Australia
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