<p><p>JOB DESCRIPTION FirstEnergy FirstEnergy at a Glance We are a forward-thinking electric utility powered by a diverse team of employees committed to making customers' lives brighter, the environment better and our communities stronger. FirstEnergy (NYSE: FE) is dedicated to safety, reliability and operational excellence. Headquartered in Akron, Ohio, FirstEnergy includes one of the nation's largest investor-owned electric systems, more than 24,500 miles of transmission lines that connect the Midwest and Mid-Atlantic regions, and a regulated generating fleet with a total capacity of 3,780 megawatts. About the Opportunity This is an open position with FirstEnergy Service Co., a subsidiary of FirstEnergy Corp. [SC00] The ability to work remotely within the United States may be available based on business need. This option is not available in the states of California, Colorado, Illinois, Kentucky, Massachusetts, Montana, New York, Nebraska, Oregon or Washington at this time. As a Data Engineer at FirstEnergy you will work on an Agile team that is digitally enabling the company by building data pipelines that drive analytic solutions. These solutions will generate insights from the connected data, enabling the organization to advance the data-driven decision-making capabilities of the enterprise. This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is a skilled data and software engineer with experience creating data products supporting analytic solutions. Our digital projects benefit the community by aiding in providing safe, reliable electricity to everyone: * Customer: create analytics to improve customer satisfaction along the customer journey for a lifetime as they move-in to a residence, pay their bill and move to new residences. * Transmission & Distribution: develop algorithms to detect asset failures, reduce outages and provide reliable electricity to customers. * Smart Meter: provide customers with the electric usage they need to make smart decisions about their home as well as reduce threats and theft in the electric system. What you'll do: * Serve as the subject matter expert in technologies used for our data strategy in the cloud. * Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals * Solve complex data problems to deliver insights that helps the organization's business to achieve their goals * Create data products for analytics and data scientist team members to improve their productivity * Advise, consult, mentor and coach other data and analytic professionals on data standards and practices * Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions * Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering to improve the organization's productivity as a team * Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives. What You Will Need to be Qualified: * Bachelor's degree in a quantitative discipline such as Computer Science, MIS or related field with 10 years of related experience. * Related Experience includes but is not limited to: Development and tuning on any RDBMS technology (Oracle, SQL Server, Teradata, SingleStore). * Strong knowledge of using Spark for fast imagery and big data processinApply here: https://www.aplitrak.com/?adid=YmJnZW5lcmljLjc4MTcyLjEwNTA4QGZpcnN0ZW5lcmd5Y29tcC5hcGxpdHJhay5jb20</p></p>

JOB DESCRIPTION FirstEnergy FirstEnergy at a Glance We are a forward-thinking electric utility powered by a diverse team of employees committed to making customers' lives brighter, the environment better and our communities stronger. FirstEnergy (NYSE: FE) is dedicated to safety, reliability and operational excellence. Headquartered in Akron, Ohio, FirstEnergy includes one of the nation's largest investor-owned electric systems, more than 24,500 miles of transmission lines that connect the Midwest and Mid-Atlantic regions, and a regulated generating fleet with a total capacity of 3,780 megawatts. About the Opportunity This is an open position with FirstEnergy Service Co., a subsidiary of FirstEnergy Corp. [SC00] The ability to work remotely within the United States may be available based on business need. This option is not available in the states of California, Colorado, Illinois, Kentucky, Massachusetts, Montana, Nebraska, New York, Oregon or Washington at this time. The Data Management team within FirstEnergy's Information Technology group is responsible for the design, development and enhancement of Data Warehousing and Analytics applications. We seek an individual that can confidently play the role of a Data Engineer during Data Lake / Data Warehouse development. A Data Engineer at FirstEnergy works closely with Business Systems or Business resources to make appropriate technological choices; proceeds to architect and design the required application. This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is a skilled data and software engineer with experience creating data products supporting analytic solutions. Responsibilities Include: A Data Engineer at FirstEnergy typically performs the following activities during the application development process: * Requirements analysis: In conjunction with a Business Systems team Analyst or independently, work with the business to collect, document and review functional and non-functional requirements for the application. * Solutions maintenance: Responsible for maintaining the data warehousing platforms and all components of MemSQL/SingleStore, Teradata and legacy Oracle Data Marts, Azure Synapse Notebooks/Pipelines. * Architect: In conjunction with a Business Systems team Analyst or independently, decompose the application into various components and make appropriate technological choices in the implementation and integration of the components also giving due consideration to availability, recovery, security, performance, and governance requirements. * Analysis and design: Define and document the logical data model and create the physical data model in a database. Define and create Data Lake and Data Warehousing models for reporting or analytics. Identify the various contributing source systems and source data elements; help define & build the extraction functions to obtain the source data supporting change data capture. Define and document the various data transformations that must occur during this process. Incorporate maintainability, security and performance requirements into the design and specifications. * Build and test: Create physical data model. Implement data extraction functions and transformation logic. Document all design and specifications. Document metadata information. Develop early prototypes for the application, as necessary. Support the development of complex logic or functions necessary that help the organization's business achieve their goals. * Communicate design and logic to businesApply here: https://www.aplitrak.com/?adid=YmJnZW5lcmljLjYwNTgyLjEwNTA4QGZpcnN0ZW5lcmd5Y29tcC5hcGxpdHJhay5jb20

<p><b>Full Time</b></p><p><b>40 Hours/Week</b></p><p><b>Monday - Friday, 8:00am - 5:00pm</b></p><p><b>Remote, onsite required 1 day per month</b></p><p><b>Summary:</b><br/></p><p>Assists in the design, development, implementation, and ongoing support for data pipelines and infrastructure on cloud platforms. Collaborates with teams both internal and external to the Enterprise Data & Analytics team to ensure data quality, integrity, and availability while promoting best practices for data management and data governance. Technical background in data engineering and the ability to collaborate within the Enterprise Data and Analytics department.</p><p><b>Responsibilities:</b><br/></p><ol><li>Gathers requirements and prioritizes work based on organizational, strategic, and clinical initiatives.</li><li>Promotes advanced analytics within the user community and is dedicated to evolving and improving self-service analytics capabilities within the hospital.</li><li>Designs, develops, and maintains complex and robust data infrastructure, including data warehouses, data lakes, and ETL pipelines.</li><li>Implements best practices for data governance, data security, and data quality assurance.</li><li>Assists in evaluating and adopting new technologies and tools to improve the efficiency and scalability of data processing systems.</li><li>Monitors and troubleshoots data pipeline performance issues, ensuring high availability and reliability of data processing workflows.</li><li>Establishes timelines and ensures timely completion of high-quality deliverables.</li><li>Tracks project status, risks, and dependencies to stakeholders, and proactively addresses any issues that may arise.</li></ol><p><b>Technical Expertise:</b></p><ol><li>Advanced knowledge and experience with data warehouses, data lakes, and analytics and reporting tools, preferably Epic’s data warehouse.</li><li>Proficient in cloud platforms such as AWS, Azure, etc.</li><li>Ability to communicate complex information clearly and concisely to all levels of teams within the Enterprise & Data Analytics department.</li><li>Ability to work with peers and management within the Enterprise Data & Analytics department.</li><li>Experienced in using Python for automation, scripting, and basic data analysis. Knowledgeable in using CI/CD pipelines in a DevOps environment.</li><li>Proficiency in Microsoft Suite 360 [Outlook, Excel, Word, Teams, SharePoint] or similar software is required.</li><li>Experience in healthcare is preferred.</li></ol><p><b>Education and Experience:</b></p><ol><li>Bachelor’s degree required in related field of computer science, analytics, information services, or healthcare.</li><li>Strong interpersonal, communication (verbal and written), and organizational skills required.</li><li>Minimum of three (3) years of relevant data engineering and analytics experience required.</li><li>Certification: None required. Certification in cloud architecture, clinical, healthcare, or nursing informatics preferred.</li></ol><p><b>FTE: 1.000000</b></p>
#J-18808-Ljbffr

<div>
<div>
<b>Full Time</b>
</div>
<div>
<b>40 Hours/Week</b>
</div>
<div>
<b>Monday - Friday, 8:00am - 5:00pm</b>
</div>
<div>
<b>Remote, onsite required 1 day per month</b>
</div>
<div>
<b>Summary:</b>
</div>
<p>Assists in the design, development, implementation, and ongoing support for data pipelines and infrastructure on cloud platforms. Collaborates with teams both internal and external to the Enterprise Data & Analytics team to ensure data quality, integrity, and availability while promoting best practices for data management and data governance. Technical background in data engineering and the ability to collaborate within the Enterprise Data and Analytics department.</p>
<div>
<b>Responsibilities:</b>
</div>
<ol>
<li>Gathers requirements and prioritizes work based on organizational, strategic, and clinical initiatives.</li>
<li>Promotes advanced analytics within the user community and is dedicated to evolving and improving self-service analytics capabilities within the hospital.</li>
<li>Designs, develops, and maintains complex and robust data infrastructure, including data warehouses, data lakes, and ETL pipelines.</li>
<li>Implements best practices for data governance, data security, and data quality assurance.</li>
<li>Assists in evaluating and adopting new technologies and tools to improve the efficiency and scalability of data processing systems.</li>
<li>Monitors and troubleshoots data pipeline performance issues, ensuring high availability and reliability of data processing workflows.</li>
<li>Establishes timelines and ensures timely completion of high-quality deliverables.</li>
<li>Tracks project status, risks, and dependencies to stakeholders, and proactively addresses any issues that may arise.</li>
</ol>
<div>
<b>Technical Expertise:</b>
</div>
<ol>
<li>Advanced knowledge and experience with data warehouses, data lakes, and analytics and reporting tools, preferably Epic’s data warehouse.</li>
<li>Proficient in cloud platforms such as AWS, Azure, etc.</li>
<li>Ability to communicate complex information clearly and concisely to all levels of teams within the Enterprise & Data Analytics department.</li>
<li>Ability to work with peers and management within the Enterprise Data & Analytics department.</li>
<li>Experienced in using Python for automation, scripting, and basic data analysis. Knowledgeable in using CI/CD pipelines in a DevOps environment.</li>
<li>Proficiency in Microsoft Suite 360 [Outlook, Excel, Word, Teams, SharePoint] or similar software is required.</li>
<li>Experience in healthcare is preferred.</li>
</ol>
<div>
<b>Education and Experience:</b>
</div>
<ol>
<li>Bachelor’s degree required in related field of computer science, analytics, information services, or healthcare.</li>
<li>Strong interpersonal, communication (verbal and written), and organizational skills required.</li>
<li>Minimum of three (3) years of relevant data engineering and analytics experience required.</li>
<li>Certification: None required. Certification in cloud architecture, clinical, healthcare, or nursing informatics preferred.</li>
</ol>
</div>
#J-18808-Ljbffr

JOB DESCRIPTION FirstEnergy FirstEnergy at a Glance We are a forward-thinking electric utility powered by a diverse team of employees committed to making customers' lives brighter, the environment better and our communities stronger. FirstEnergy (NYSE: FE) is dedicated to safety, reliability and operational excellence. Headquartered in Akron, Ohio, FirstEnergy includes one of the nation's largest investor-owned electric systems, more than 24,500 miles of transmission lines that connect the Midwest and Mid-Atlantic regions, and a regulated generating fleet with a total capacity of 3,780 megawatts. About the Opportunity This is an open position with FirstEnergy Service Co., a subsidiary of FirstEnergy Corp. [SC00] The ability to work remotely within the United States may be available based on business need. This option is not available in the states of California, Colorado, Illinois, Kentucky, Massachusetts, Montana, New York, Nebraska, Oregon or Washington at this time. As a Data Engineer at FirstEnergy you will work on an Agile team that is digitally enabling the company by building data pipelines that drive analytic solutions. These solutions will generate insights from the connected data, enabling the organization to advance the data-driven decision-making capabilities of the enterprise. This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is a skilled data and software engineer with experience creating data products supporting analytic solutions. Our digital projects benefit the community by aiding in providing safe, reliable electricity to everyone: * Customer: create analytics to improve customer satisfaction along the customer journey for a lifetime as they move-in to a residence, pay their bill and move to new residences. * Transmission & Distribution: develop algorithms to detect asset failures, reduce outages and provide reliable electricity to customers. * Smart Meter: provide customers with the electric usage they need to make smart decisions about their home as well as reduce threats and theft in the electric system. What you'll do: * Serve as the subject matter expert in technologies used for our data strategy in the cloud. * Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals * Solve complex data problems to deliver insights that helps the organization's business to achieve their goals * Create data products for analytics and data scientist team members to improve their productivity * Advise, consult, mentor and coach other data and analytic professionals on data standards and practices * Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions * Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering to improve the organization's productivity as a team * Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives. What You Will Need to be Qualified: * Bachelor's degree in a quantitative discipline such as Computer Science, MIS or related field with 10 years of related experience. * Related Experience includes but is not limited to: Development and tuning on any RDBMS technology (Oracle, SQL Server, Teradata, SingleStore). * Strong knowledge of using Spark for fast imagery and big data processinApply here: https://www.aplitrak.com/?adid=YmJnZW5lcmljLjc4MTcyLjEwNTA4QGZpcnN0ZW5lcmd5Y29tcC5hcGxpdHJhay5jb20

Data Engineer Jobs in Akron, OH

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Data Engineer Jobs in Akron, OH

Senior Data Engineer RemoteDecember 19, 2024

Data EngineerDecember 17, 2024

Senior Data EngineerDecember 9, 2024

Senior Data EngineerDecember 8, 2024

Senior Data Engineer RemoteDecember 1, 2024