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As a well-rounded Data Center Engineer, you will be part facilities engineer, part network engineer and part project manager. Data Center Engineer. Understanding of multi-tenant data center environments (carrier hotels and co-location facilities.
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The Facility Engineer leads the energy utility (electric, natural gas, steam, domestic water) management including procurement planning, consumption tracking, benchmarking, budgeting, energy efficiency, greenhouse gas emissions & carbon footprint data, and reporting.
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We are looking for a Senior Data Engineer to help us continue to build the next evolution of our data platform in a scalable, performant, and customer-centric architecture. Primary responsibilities for a Senior Data Engineer Collaborate with Product Managers, Designers, Engineers, Data Scientists and Data Analysts to take ideas from concept to production at scale.
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We are looking for a Senior Data engineer. You Have: 3+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for Data Engineering or Machine Learning workloads.
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As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Lead Data Engineer. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Cloud / data platform engineer to support key data platforms to include Snowflake, Databricks, and other data platforms. Sr. Lead, Cloud Engineer, Data Platforms page is loaded Sr. Lead, Cloud Engineer, Data Platforms Apply locations Chicago, IL time type Full time posted on Posted 2 Days Ago job requisition id R125275.
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Propose new database architecture and support data migration from an existing Legacy system to a new structureCreate source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.
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Data Analysis and Optimization: Analyze data to identify inefficiencies and opportunities for optimization within integrated systems. VelocityEHS is seeking a highly skilled and experienced Senior Salesforce Engineer primarily focusing on Salesforce development and integration expertise.
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Alteryx, Banking, Business, Critical Thinking, Data Acquisition, Data Analysis, Data Management, Data Operations, Data Quality, Decision Making, Financial Products, Leadership, Management Reporting, Microsoft Power BI, People Management.
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Experience reference data management and middle office operations for financial service industry preferably asset management. Related Skills Business Acumen, Data Preprocessing, Data Science, Innovation, Machine Learning, Market/Industry Dynamics, Predictive Modeling, Programming, Statistics.
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As a DevSecOps Engineer you will play an integral role in technical administration and production support team for an ongoing case management project. Leveraging advanced threat assessment technology and experience in building high-level information security infrastructure, we develop adaptive solutions uniquely tailored to our customers’ business objectives to protect sensitive data against sophisticated threats in an increasingly complex security environment.
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What we need from you:Prior experience in a Skilled Nursing Facility (SNF) is requiredExperience with Public Aide / Medicaid billing and collections is required Previous experience with Medicare / Managed Care billing is helpfulPoint Click Care (PCC) software experience is idealPlease specify detailed billing experience (when, where, how often, collectables.
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Typical duties of an Project Engineer includes managing day-to-day activities of subcontractors and suppliers, contract administration, procurement, estimating, pay requests, change orders, requests for information, cost control, scheduling, tracking submittals, maintaining and delivering a high level of quality.
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You Have: 8+ years of experience in batch and streaming ETL using Spark, Python, Java, Snowflake or Databricks for Data Engineering or Machine Learning workloads. 5+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, etc 3+ years of experience prepping structured and unstructured data for data science models.
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Minitab, SAS, Matlab, VBA – knowledge of optimization engines such as CPLEX or Gurobi is a plus)Proficiency in any data visualization software (e.g., Power BI, Tableau, Qlik, D3, Shiny)Theoretical or practical experience in mathematical optimization techniques ( e.g. linear and non-linear optimization, mixed integer programming, sensitivity analysis, constraint programming etc.
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Title: data engineer facility in Chicago, IL
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