{"schemaVersion":"jobsearcher.job.v1","id":"d0482e64936bcfb854f63ccc","url":"https://jobsearcher.com/jobs/d0482e64936bcfb854f63ccc","canonicalUrl":"https://jobsearcher.com/jobs/d0482e64936bcfb854f63ccc","title":"Lead Data Engineer","description":"Overview\r\nThe Lead Data Engineer is responsible for the design, architecture and support of systems, services and applications required for the collection, storage, processing, and analysis of all forms of data to enable data-driven decisions and outcomes across the enterprise.\r\nResponsibilities\r\nWork collaboratively with other engineers, data scientists, analytics teams, and business product owners in an agile environment:\r\nArchitect, build, and support the operation of Cloud and On-Premises enterprise data infrastructure and tools.\r\nDesign robust, reusable and scalable data driven solutions and data pipeline frameworks to automate the ingestion, processing and delivery of both structured and unstructured batch and real-time streaming data.\r\nLead the development of data APIs and data delivery services to support critical operational processes, analytical models and machine learning applications.\r\nAssist the selection and integration of data related tools, frameworks and applications required to expand platform capabilities.\r\nUnderstand and implement best practices in management of enterprise data, including master data, reference data, metadata, data quality and lineage.\r\nQualifications\r\nBachelor's degree in computer science, math, engineering, or relevant technical field\r\nFive years of collective experience in the application of data engineering, data analytics, data warehousing, business intelligence, database administration and data integration concepts and methodologies\r\nFour years of experience architecting, building, and administering big data and real-time streaming analytics architectures in on-premises and cloud environments\r\nThree years of experience architecting, building and administering large-scale distributed applications\r\nThree years of experience with Linux operations and development, including basic commands and shell scripting\r\nThree years of experience executing DevOps methodologies and continuous integration/continuous delivery\r\nDemonstrated skills in delivery of high-quality technical project solutions\r\nExpertise in SQL for data profiling, analysis, and extraction\r\nFamiliarity with data science techniques and frameworks\r\nCreative thinker with strong analytical skills\r\nResults oriented with a strong customer focus\r\nAbility to work in a team environment\r\nStrong technical communication skills\r\nAbility to prioritize work to meet tight deadlines\r\nAbility to learn and keep pace with the latest technology advances and quickly grasp new technologies to support the environment and contribute to project deliverables\r\nPreferred Qualifications\r\nMaster's degree in a technical field (e.g. computer science, math, engineering)\r\nUnderstanding of big data and real time streaming analytics processing architecture and ecosystems\r\nExperience with data warehousing architecture and implementation, including hands on experience with source to target mappings and developing ETL code\r\nExperience with advanced analytics and machine learning concepts and technology implementations\r\nExperience with data analysis and using data visualization tools to describe data\r\nRelevant technology or platform certification (AWS, Microsoft, etc.)\r\nExperience with Snowflake\r\nWorking Conditions\r\nHybrid-Office Environment (Tuesdays, Wednesdays, Thursdays)\r\nOccasional Travel\r\nThis job description is not a contract of employment nor for any specific job responsibilities. The Company may change, add to, remove, or revoke the terms of this job description at its discretion. Managers may assign other duties and responsibilities as needed. In the event an employee or applicant requests or requires an accommodation to perform job functions, the applicable HR Business Partner should be contacted to evaluate the accommodation request.\r\nCompensation\r\nThe Salary for this position generally ranges between $107,000 - $135,000 annually . Please note that the salary range is a good faith estimate for this position and actual starting pay is determined by several factors including qualifications, experience, geography, work location designation (in-office, hybrid, remote) and operational needs. Salary may vary above and below the stated amounts, as permitted by applicable law.\r\nAdditionally, this position is typically eligible for an Annual Bonus based on the Company Bonus Plan/Individual Performance and is at the Company's discretion.\r\nApplicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.\r\nThis is a hybrid position requiring three days in office per week in one of our hub locations (Philadelphia, PA; Cedar Rapids, IA; Denver, CO). Relocation assistance will not be provided for this position.\r\nJ-18808-Ljbffr","company":"Aegon","rawCompany":"aegon","city":"Cedar Rapids","state":"IA","isRemote":false,"isActive":true,"createdAt":"2026-06-25T00:59:50.857Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Data Engineer","description":"Overview\r\nThe Lead Data Engineer is responsible for the design, architecture and support of systems, services and applications required for the collection, storage, processing, and analysis of all forms of data to enable data-driven decisions and outcomes across the enterprise.\r\nResponsibilities\r\nWork collaboratively with other engineers, data scientists, analytics teams, and business product owners in an agile environment:\r\nArchitect, build, and support the operation of Cloud and On-Premises enterprise data infrastructure and tools.\r\nDesign robust, reusable and scalable data driven solutions and data pipeline frameworks to automate the ingestion, processing and delivery of both structured and unstructured batch and real-time streaming data.\r\nLead the development of data APIs and data delivery services to support critical operational processes, analytical models and machine learning applications.\r\nAssist the selection and integration of data related tools, frameworks and applications required to expand platform capabilities.\r\nUnderstand and implement best practices in management of enterprise data, including master data, reference data, metadata, data quality and lineage.\r\nQualifications\r\nBachelor's degree in computer science, math, engineering, or relevant technical field\r\nFive years of collective experience in the application of data engineering, data analytics, data warehousing, business intelligence, database administration and data integration concepts and methodologies\r\nFour years of experience architecting, building, and administering big data and real-time streaming analytics architectures in on-premises and cloud environments\r\nThree years of experience architecting, building and administering large-scale distributed applications\r\nThree years of experience with Linux operations and development, including basic commands and shell scripting\r\nThree years of experience executing DevOps methodologies and continuous integration/continuous delivery\r\nDemonstrated skills in delivery of high-quality technical project solutions\r\nExpertise in SQL for data profiling, analysis, and extraction\r\nFamiliarity with data science techniques and frameworks\r\nCreative thinker with strong analytical skills\r\nResults oriented with a strong customer focus\r\nAbility to work in a team environment\r\nStrong technical communication skills\r\nAbility to prioritize work to meet tight deadlines\r\nAbility to learn and keep pace with the latest technology advances and quickly grasp new technologies to support the environment and contribute to project deliverables\r\nPreferred Qualifications\r\nMaster's degree in a technical field (e.g. computer science, math, engineering)\r\nUnderstanding of big data and real time streaming analytics processing architecture and ecosystems\r\nExperience with data warehousing architecture and implementation, including hands on experience with source to target mappings and developing ETL code\r\nExperience with advanced analytics and machine learning concepts and technology implementations\r\nExperience with data analysis and using data visualization tools to describe data\r\nRelevant technology or platform certification (AWS, Microsoft, etc.)\r\nExperience with Snowflake\r\nWorking Conditions\r\nHybrid-Office Environment (Tuesdays, Wednesdays, Thursdays)\r\nOccasional Travel\r\nThis job description is not a contract of employment nor for any specific job responsibilities. The Company may change, add to, remove, or revoke the terms of this job description at its discretion. Managers may assign other duties and responsibilities as needed. In the event an employee or applicant requests or requires an accommodation to perform job functions, the applicable HR Business Partner should be contacted to evaluate the accommodation request.\r\nCompensation\r\nThe Salary for this position generally ranges between $107,000 - $135,000 annually . Please note that the salary range is a good faith estimate for this position and actual starting pay is determined by several factors including qualifications, experience, geography, work location designation (in-office, hybrid, remote) and operational needs. Salary may vary above and below the stated amounts, as permitted by applicable law.\r\nAdditionally, this position is typically eligible for an Annual Bonus based on the Company Bonus Plan/Individual Performance and is at the Company's discretion.\r\nApplicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.\r\nThis is a hybrid position requiring three days in office per week in one of our hub locations (Philadelphia, PA; Cedar Rapids, IA; Denver, CO). Relocation assistance will not be provided for this position.\r\nJ-18808-Ljbffr","datePosted":"2026-06-25T00:59:50.857Z","dateModified":"2026-06-25T00:59:50.857Z","hiringOrganization":{"@type":"Organization","name":"Aegon","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cedar Rapids","addressRegion":"IA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d0482e64936bcfb854f63ccc"},"url":"https://jobsearcher.com/jobs/d0482e64936bcfb854f63ccc"}}