{"schemaVersion":"jobsearcher.job.v1","id":"4c8e114c973ca5835a7a2248","url":"https://jobsearcher.com/jobs/4c8e114c973ca5835a7a2248","canonicalUrl":"https://jobsearcher.com/jobs/4c8e114c973ca5835a7a2248","title":"Data Engineering Manager - Remote","description":"Description\n\nData Engineering Manager - Remote\n\nFull Time Perm\nSalary: $125,800 - $188,600, plus annual bonus\nWay of Work: Remote\nThe Data Engineering Manager will lead and develop a team that implements and supports the Enterprise Data Lake that will enable data driven decisions, insights and value. The manager will work closely with business leaders to ensure that solutions are providing the intended value and will partner with IT to collect and prepare high quality data. This role requires comfort operating seamlessly between business processes, data analytics and technical application capabilities. Collaboration with key partners, continuous improvement and analytical thinking is essential for success. The manager will provide strong and inclusive leadership in a manner that engages employees, establishes a culture of trust and accountability and creates a strong pipeline of talent.\nYour responsibilities may include, but are not limited to:\nPromotes, monitors and practices a holistic approach for enterprise data that leads to actionable recommendations.\nEstablishes relationships with business leaders to gain trust, advocate for analytics and data governance and to ensure analytics are producing the intended results.\nOversees activities related to an internal data and analytics portfolio (may include data science, data engineering, data prep, data governance, data stewardship, visualization, alerting and dashboard development).\nOversees and/or performs analysis of data, identification of trends and the creation of executive summary conclusions and recommended action.\nLeads with a continuous improvement focus and mindset both within their team and for the broader organization.\nDevelops and oversees (or participates in) the execution of strategies for advancing analytics maturity of multiple distributed analytics teams.\nDevelops decision guides, standard practices and style guides for data engineering tools to promote consistent and optimal use of the tools.\nEstablishes governance to ensure consistency and adherence to standards.\nPartners with IT to develop strategies for and ensure the health of tools, platforms and processes that enable data and analytics (e.g. vendor/license management, technology roadmaps, steady state support, administration).\nResponsible for hiring, training and evaluation of a team of 4-5 data engineering professionals.\nWorks with staff to develop performance and professional development plans and measures performance based on established criteria.\nCreates a culture where people feel valued and have an opportunity to grow and develop.\nYou must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.\nMinimum Qualifications\nBachelor’s degree or equivalent work experience\n4+ years of experience in a data engineer capacity such as data engineering, business intelligence (visualization/dashboard/reporting), data science, data analysis, business analysis, data governance, or similar roles\n2+ years of experience working with cloud infrastructure\n2+ years of experience in leading teams\nPreferred Qualifications\nAdvanced experience with data lake house development and support\nExperience with analytics tools/technology (Python, R, SQL, Tableau, Power BI, data governance tools)\nExperience with data governance implementation\nDiverse background that brings experience of having worked across multiple data domains\nDisclaimer\nThe preceding description is not designed to be a complete list of all duties and responsibilities required of the position.\nThis role does not qualify for sponsorship\nBy applying, you may be considered for other job opportunities.\nInclusion & Diversity\nValue inclusion within your day-to-day responsibilities by respecting others perspectives/convictions, engaging others opinions, creating a safe environment where people, ideas, and opinions are valued within your Team/Customers and external partners. Respect and take into consideration diversity within your Team/Customers and external work partners by valuing different world views, challenges, and cultures that represent all walks of life and all backgrounds. Treat others with respect and consideration. Actively participate in creating and contributing to a positive work environment.\nEqual Employment Opportunity\nNiSource is committed to providing equal employment opportunities in each of its companies to all employees and applicants for employment without regard to race, color, religion, national origin or ancestry, veteran status, disability, gender, age, marital status, sexual orientation, gender identity, genetic information, or any protected group status as defined by law. Each employee is expected to abide by this principle.\nSafety Statement\nPromote a safe work environment by actively participating in all aspects of our employee safety program. Report any unsafe conditions and take actions to prevent personal injuries. Support our interdependent safety culture by ensuring the safety of your co-workers. Stay focused on the task at hand and promote productivity through good work habits.\n\n#Remote #NiSource #OhioMeansJobs #Data #DataEngineering #Manager #Cloud #DataGovernance #WomenInTech #WomenInUtilities\nWork Authorization\nAuthorized to work in the United States without requiring sponsorship.\nInclusion & Diversity\nValue inclusion within your day to day responsibilities by respecting others perspectives/convictions, engaging others opinions, creating a safe environment where people, ideas, and opinions are valued within your Team/Customers and external partners.\nRespect and take into consideration diversity within your Team/Customers and external work partners by valuing different world views, challenges, and cultures that represent all walks of life and all backgrounds.\nTreat others with respect and consideration. Actively participate in creating and contributing to a positive work environment.\nEqual Employment Opportunity\nNiSource is committed to providing equal employment opportunities in each of its companies to all employees and applicants for employment without regard to race, color, religion, national origin or ancestry, veteran status, disability, gender, age, marital status, sexual orientation, gender identity, sex (including pregnancy, lactation, childbirth or related medical conditions), genetic information, citizenship status, or any protected group status as defined by law. Each employee is expected to abide by this principle.\nBy applying, you may be considered for other job opportunities.\n\nSafety Statement\nPromote a safe work environment by actively participating in all aspects of our employee safety program. Report any unsafe conditions and take actions to prevent personal injuries. Support our interdependent safety culture by ensuring the safety of your co-workers. Stay focused on the task at hand and promote productivity through good work habits.\nSalary Range:\n$125,800.00 - $188,600.00\nPosting Start Date:\n2024-08-02\nPosting End Date (if applicable):\n\nPlease note that the job posting will close on the day before the posting end date.\nSummary\nThe Data Engineering Manager will lead and develop a team that implements and supports the Enterprise Data lake that will enable data driven decisions, insights and value. The manager will work closely with business leaders to ensure that solutions are providing the intended value and will partner with IT to collect and prepare high quality data. This role requires comfort operating seamlessly between business processes, data analytics and technical application capabilities. Collaboration with key partners, continuous improvement and analytical thinking is essential for success. The manager will provide strong and inclusive leadership in a manner that engages employees, establishes a culture of trust and accountability and creates a strong pipeline of talent.","company":"NiSource","rawCompany":"nisource","city":"Covington","state":"LA","isRemote":true,"isActive":false,"createdAt":"2026-04-12T20:42:24.186Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"551114","title":"Corporate, Subsidiary, and Regional Managing Offices","slug":"corporate-subsidiary-and-regional-managing-offices"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineering Manager - Remote","description":"Description\n\nData Engineering Manager - Remote\n\nFull Time Perm\nSalary: $125,800 - $188,600, plus annual bonus\nWay of Work: Remote\nThe Data Engineering Manager will lead and develop a team that implements and supports the Enterprise Data Lake that will enable data driven decisions, insights and value. The manager will work closely with business leaders to ensure that solutions are providing the intended value and will partner with IT to collect and prepare high quality data. This role requires comfort operating seamlessly between business processes, data analytics and technical application capabilities. Collaboration with key partners, continuous improvement and analytical thinking is essential for success. The manager will provide strong and inclusive leadership in a manner that engages employees, establishes a culture of trust and accountability and creates a strong pipeline of talent.\nYour responsibilities may include, but are not limited to:\nPromotes, monitors and practices a holistic approach for enterprise data that leads to actionable recommendations.\nEstablishes relationships with business leaders to gain trust, advocate for analytics and data governance and to ensure analytics are producing the intended results.\nOversees activities related to an internal data and analytics portfolio (may include data science, data engineering, data prep, data governance, data stewardship, visualization, alerting and dashboard development).\nOversees and/or performs analysis of data, identification of trends and the creation of executive summary conclusions and recommended action.\nLeads with a continuous improvement focus and mindset both within their team and for the broader organization.\nDevelops and oversees (or participates in) the execution of strategies for advancing analytics maturity of multiple distributed analytics teams.\nDevelops decision guides, standard practices and style guides for data engineering tools to promote consistent and optimal use of the tools.\nEstablishes governance to ensure consistency and adherence to standards.\nPartners with IT to develop strategies for and ensure the health of tools, platforms and processes that enable data and analytics (e.g. vendor/license management, technology roadmaps, steady state support, administration).\nResponsible for hiring, training and evaluation of a team of 4-5 data engineering professionals.\nWorks with staff to develop performance and professional development plans and measures performance based on established criteria.\nCreates a culture where people feel valued and have an opportunity to grow and develop.\nYou must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.\nMinimum Qualifications\nBachelor’s degree or equivalent work experience\n4+ years of experience in a data engineer capacity such as data engineering, business intelligence (visualization/dashboard/reporting), data science, data analysis, business analysis, data governance, or similar roles\n2+ years of experience working with cloud infrastructure\n2+ years of experience in leading teams\nPreferred Qualifications\nAdvanced experience with data lake house development and support\nExperience with analytics tools/technology (Python, R, SQL, Tableau, Power BI, data governance tools)\nExperience with data governance implementation\nDiverse background that brings experience of having worked across multiple data domains\nDisclaimer\nThe preceding description is not designed to be a complete list of all duties and responsibilities required of the position.\nThis role does not qualify for sponsorship\nBy applying, you may be considered for other job opportunities.\nInclusion & Diversity\nValue inclusion within your day-to-day responsibilities by respecting others perspectives/convictions, engaging others opinions, creating a safe environment where people, ideas, and opinions are valued within your Team/Customers and external partners. Respect and take into consideration diversity within your Team/Customers and external work partners by valuing different world views, challenges, and cultures that represent all walks of life and all backgrounds. Treat others with respect and consideration. Actively participate in creating and contributing to a positive work environment.\nEqual Employment Opportunity\nNiSource is committed to providing equal employment opportunities in each of its companies to all employees and applicants for employment without regard to race, color, religion, national origin or ancestry, veteran status, disability, gender, age, marital status, sexual orientation, gender identity, genetic information, or any protected group status as defined by law. Each employee is expected to abide by this principle.\nSafety Statement\nPromote a safe work environment by actively participating in all aspects of our employee safety program. Report any unsafe conditions and take actions to prevent personal injuries. Support our interdependent safety culture by ensuring the safety of your co-workers. Stay focused on the task at hand and promote productivity through good work habits.\n\n#Remote #NiSource #OhioMeansJobs #Data #DataEngineering #Manager #Cloud #DataGovernance #WomenInTech #WomenInUtilities\nWork Authorization\nAuthorized to work in the United States without requiring sponsorship.\nInclusion & Diversity\nValue inclusion within your day to day responsibilities by respecting others perspectives/convictions, engaging others opinions, creating a safe environment where people, ideas, and opinions are valued within your Team/Customers and external partners.\nRespect and take into consideration diversity within your Team/Customers and external work partners by valuing different world views, challenges, and cultures that represent all walks of life and all backgrounds.\nTreat others with respect and consideration. Actively participate in creating and contributing to a positive work environment.\nEqual Employment Opportunity\nNiSource is committed to providing equal employment opportunities in each of its companies to all employees and applicants for employment without regard to race, color, religion, national origin or ancestry, veteran status, disability, gender, age, marital status, sexual orientation, gender identity, sex (including pregnancy, lactation, childbirth or related medical conditions), genetic information, citizenship status, or any protected group status as defined by law. Each employee is expected to abide by this principle.\nBy applying, you may be considered for other job opportunities.\n\nSafety Statement\nPromote a safe work environment by actively participating in all aspects of our employee safety program. Report any unsafe conditions and take actions to prevent personal injuries. Support our interdependent safety culture by ensuring the safety of your co-workers. Stay focused on the task at hand and promote productivity through good work habits.\nSalary Range:\n$125,800.00 - $188,600.00\nPosting Start Date:\n2024-08-02\nPosting End Date (if applicable):\n\nPlease note that the job posting will close on the day before the posting end date.\nSummary\nThe Data Engineering Manager will lead and develop a team that implements and supports the Enterprise Data lake that will enable data driven decisions, insights and value. The manager will work closely with business leaders to ensure that solutions are providing the intended value and will partner with IT to collect and prepare high quality data. This role requires comfort operating seamlessly between business processes, data analytics and technical application capabilities. Collaboration with key partners, continuous improvement and analytical thinking is essential for success. The manager will provide strong and inclusive leadership in a manner that engages employees, establishes a culture of trust and accountability and creates a strong pipeline of talent.","datePosted":"2026-04-12T20:42:24.186Z","dateModified":"2026-04-12T20:42:24.186Z","hiringOrganization":{"@type":"Organization","name":"NiSource","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Covington","addressRegion":"LA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4c8e114c973ca5835a7a2248"},"url":"https://jobsearcher.com/jobs/4c8e114c973ca5835a7a2248"}}