Institute of Nuclear Power Operations
Data Engineer III
Institute of Nuclear Power Operations, Atlanta, Georgia, United States, 30383
Summary of Purpose
The Data Engineer is a vital member of the application services team responsible for designing, building, and maintaining the infrastructure that supports the collection, storage, and analysis of large sets of data. They ensure that data flows smoothly from source to destination so that it can be processed and analyzed by other stakeholders.
Essential FunctionsDesign and create architecture to support organizational work and objectives as it relates to enterprise data.Design, implement, deploy, and manage Elasticsearch clusters in a multi-cluster environment, both on-premises and within the cloudDevelop and implement integration solutions from different sources, including databases, data virtualization, APIs and external systems.Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexityCollaborate with other teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organizationImplement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on itWrite complex queries for data analysis and ensure data integrity and qualityOther duties as assignedKnowledge, Skills, and Abilities
Proficiency in SQL and experience with relational databases technologies.Proficiency in non-relational databasesKnowledge of data modeling and data architectureSkills in programming languages such as Python, C#, or othersAbility to work with cloud services, specifically AWS or AzureStrong analytical and problem-solving skillsExcellent communication and collaboration abilitiesFamiliarity with machine learning algorithms and data science techniquesUnderstanding of ETL (Extract, Transform, Load) processes and data pipeline constructionCommitment to data integrity and a keen eye for detailData virtualization tools like DenodoAbility to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML, and BIExcellent business acumen and interpersonal skills; able to work across business lines to influence and effect change to achieve common goalsEducation, Licenses, and Certifications
Required
High School Diploma or GED
Preferred
Bachelor's degree in Computer Science, Mathematics, Data Science, or another relevant technical areaExperience
Required
Six or more years of professional work experience, at least five of which in data management disciplines, including data integration, modeling, optimization and data quality, or other areas relevant to data engineering responsibilities and tasks.Three or more years of experience in data engineering or a related fieldThree or more years of experience in elastic indexes, SSIS, SSAS, et ceteraAdditional Requirements
Work Context
Prolonged periods of sitting at a desk and working on a computerMust be able to work under minimal supervisionMust be able to sit, stand, walk, stoop, kneel, crouch, climb, and crawlGeneral Requirements
Behaviors and Assessments/Additional Requirements
Employment is dependent upon successfully completing a pre-employment background check and drug and alcohol testThis position may require obtaining unescorted access statusThis position requires direct or indirect access to certain export-controlled technology, for which INPO may be required to obtain an export license in accordance with applicable U.S. export control laws and regulations. If an export license is required, any offer of employment at INPO for this position is contingent upon receipt of the export license or authorization
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)
The Data Engineer is a vital member of the application services team responsible for designing, building, and maintaining the infrastructure that supports the collection, storage, and analysis of large sets of data. They ensure that data flows smoothly from source to destination so that it can be processed and analyzed by other stakeholders.
Essential FunctionsDesign and create architecture to support organizational work and objectives as it relates to enterprise data.Design, implement, deploy, and manage Elasticsearch clusters in a multi-cluster environment, both on-premises and within the cloudDevelop and implement integration solutions from different sources, including databases, data virtualization, APIs and external systems.Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexityCollaborate with other teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organizationImplement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on itWrite complex queries for data analysis and ensure data integrity and qualityOther duties as assignedKnowledge, Skills, and Abilities
Proficiency in SQL and experience with relational databases technologies.Proficiency in non-relational databasesKnowledge of data modeling and data architectureSkills in programming languages such as Python, C#, or othersAbility to work with cloud services, specifically AWS or AzureStrong analytical and problem-solving skillsExcellent communication and collaboration abilitiesFamiliarity with machine learning algorithms and data science techniquesUnderstanding of ETL (Extract, Transform, Load) processes and data pipeline constructionCommitment to data integrity and a keen eye for detailData virtualization tools like DenodoAbility to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML, and BIExcellent business acumen and interpersonal skills; able to work across business lines to influence and effect change to achieve common goalsEducation, Licenses, and Certifications
Required
High School Diploma or GED
Preferred
Bachelor's degree in Computer Science, Mathematics, Data Science, or another relevant technical areaExperience
Required
Six or more years of professional work experience, at least five of which in data management disciplines, including data integration, modeling, optimization and data quality, or other areas relevant to data engineering responsibilities and tasks.Three or more years of experience in data engineering or a related fieldThree or more years of experience in elastic indexes, SSIS, SSAS, et ceteraAdditional Requirements
Work Context
Prolonged periods of sitting at a desk and working on a computerMust be able to work under minimal supervisionMust be able to sit, stand, walk, stoop, kneel, crouch, climb, and crawlGeneral Requirements
Behaviors and Assessments/Additional Requirements
Employment is dependent upon successfully completing a pre-employment background check and drug and alcohol testThis position may require obtaining unescorted access statusThis position requires direct or indirect access to certain export-controlled technology, for which INPO may be required to obtain an export license in accordance with applicable U.S. export control laws and regulations. If an export license is required, any offer of employment at INPO for this position is contingent upon receipt of the export license or authorization
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)