{"schemaVersion":"jobsearcher.job.v1","id":"9e257e8baebdee291de61dfe","url":"https://jobsearcher.com/jobs/9e257e8baebdee291de61dfe","canonicalUrl":"https://jobsearcher.com/jobs/9e257e8baebdee291de61dfe","title":"Lead Data Engineer","description":"Key Skills Required\r\nData Architecture\r\nPlatform and Technology\r\nExperience using and implementing database technologies, storage layers, modeling frameworks, and data integration tooling. Able to follow strategy and established guidelines, making recommendations for enhancements or changes, and able to participate in discussion on future strategic design.\r\nExperience in optimization and performance tuning in all aspects of the platform and technology (database, pipelines, SQL statements, resource scaling)\r\nApplication Architecture\r\nSystem Integration and Orchestration\r\nUnderstanding of possible integration options between systems and applications. Understanding of orchestration for applications; experience with Airflow would be a bonus.\r\nSecurity\r\nUnderstanding of security models and controls. Able to implement and troubleshoot controls in platform and technology.\r\nData Engineering\r\nUse of azure data factory especially with metadata driven pipelines.\r\nStrong understanding of ETL patterns especially within a data warehouse environment. Items like merge and upsert, handling slowly changing dimensions, snapshot fact tables, etc.\r\nData Quality\r\nGood understanding of testing lifecycle from unit testing, to system integration testing, to user acceptance testing. Able to review and critique test plans and recorded results. Able to direct developers on necessary test scenarios if plans are lacking.\r\nAble to execute data quality checks for data products within the data warehouse. May include technical checks such as duplication checks, orphan record checks, and invalid surrogate key checks. May also include business rule checks.\r\nSoft Skills\r\nCollaboration\r\nDriving sessions for requirement gathering and review for both functional and technical requirements.\r\nDocumentation\r\nAble to produce clear and concise documentation, appropriately tailored for audience, for policies, standards, and procedures.\r\nThe Lead Data Engineer role has a national salary range of $85,000- $150,000.\r\nDHL Supply Chain offers multiple benefits including Medical, Dental, Vision, Prescription, Discounted Stock Purchase, General Bonus Plan and a generous PTO policy.\r\nJob Description\r\nWe are seeking a skilled Data Engineering Lead to oversee technical data projects and develop efficient data pipelines within the organization. This role is essential for optimizing data architecture to meet the needs of cross-functional teams, ensuring rapid data ingestion into global platforms while upholding data integrity and accessibility. The successful candidate will collaborate with stakeholders to promote data-driven decision-making and enhance data initiatives. As a subject-matter expert, the Data Engineering Lead will mentor team members at all levels, fostering their development and ensuring adherence to best practices in data engineering.\r\nResponsibilities\r\nLead technical data engineering projects, ensuring rapid data ingestion into regional and global platforms.\r\nGuide the development, testing, and maintenance of large-scale data pipelines while adhering to best practices and quality standards.\r\nSupport software developers, database architects, data analysts, and data scientists in enhancing data accessibility and usability.\r\nMaintain consistency in data delivery architecture across projects by following established reference architecture.\r\nRecommend and implement optimized data pipeline architectures for cross-functional teams.\r\nDesign and deploy data flow processes that meet the needs of various systems and products.\r\nAssemble complex data sets to meet business requirements and support strategic initiatives.\r\nIdentify and implement internal process improvements for data reliability, efficiency, and quality.\r\nMentor team members to foster development and ensure adherence to data engineering best practices.\r\nCollaborate with the data analytics community to integrate new data sources and develop operational procedures with operations teams.\r\nRequired Education and Experience\r\nUndergraduate Degree in Computer Science, Logistics, Mathematics, Statistics, or related field\r\n3+ years of experience in data engineering or equivalent role\r\nStrong understanding of SQL and database management systems (e.g., MySQL, PostgreSQL, SQL Server).\r\nProven experience in data pipeline development and management in Azure environments.\r\nProficient with Azure Data Factory, Azure Databricks, or Azure Synapse Analytics.\r\nFamiliar with data warehousing solutions and large datasets.\r\nProficient in programming languages such as Python, Java, or Scala.\r\nKnowledge of data modeling, ETL processes, and data warehousing concepts in Azure.\r\nExperience with data visualization tools (e.g., Power BI).\r\nUnderstanding of data governance and quality principles.\r\nExperience leading data initiatives.\r\nAbility to mentor and support data engineers and guide project direction.\r\nKnowledge of machine learning concepts and tools for advanced analytics.\r\nUnderstanding of containerization and orchestration technologies (e.g., Docker, Kubernetes).\r\nOur Organization has a business casual environment and focuses on teamwork, associate development, training, and continuous improvement. We offer competitive wages, excellent affordable insurance benefits (including health, dental, vision and life), 401K plan, paid vacation and holidays.\r\nOur Organization is an equal opportunity employer.\r\nJ-18808-Ljbffr","company":"Supply Chain Services","rawCompany":"supply chain services","city":"Westerville","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-07-04T02:42:35.921Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-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":"Key Skills Required\r\nData Architecture\r\nPlatform and Technology\r\nExperience using and implementing database technologies, storage layers, modeling frameworks, and data integration tooling. Able to follow strategy and established guidelines, making recommendations for enhancements or changes, and able to participate in discussion on future strategic design.\r\nExperience in optimization and performance tuning in all aspects of the platform and technology (database, pipelines, SQL statements, resource scaling)\r\nApplication Architecture\r\nSystem Integration and Orchestration\r\nUnderstanding of possible integration options between systems and applications. Understanding of orchestration for applications; experience with Airflow would be a bonus.\r\nSecurity\r\nUnderstanding of security models and controls. Able to implement and troubleshoot controls in platform and technology.\r\nData Engineering\r\nUse of azure data factory especially with metadata driven pipelines.\r\nStrong understanding of ETL patterns especially within a data warehouse environment. Items like merge and upsert, handling slowly changing dimensions, snapshot fact tables, etc.\r\nData Quality\r\nGood understanding of testing lifecycle from unit testing, to system integration testing, to user acceptance testing. Able to review and critique test plans and recorded results. Able to direct developers on necessary test scenarios if plans are lacking.\r\nAble to execute data quality checks for data products within the data warehouse. May include technical checks such as duplication checks, orphan record checks, and invalid surrogate key checks. May also include business rule checks.\r\nSoft Skills\r\nCollaboration\r\nDriving sessions for requirement gathering and review for both functional and technical requirements.\r\nDocumentation\r\nAble to produce clear and concise documentation, appropriately tailored for audience, for policies, standards, and procedures.\r\nThe Lead Data Engineer role has a national salary range of $85,000- $150,000.\r\nDHL Supply Chain offers multiple benefits including Medical, Dental, Vision, Prescription, Discounted Stock Purchase, General Bonus Plan and a generous PTO policy.\r\nJob Description\r\nWe are seeking a skilled Data Engineering Lead to oversee technical data projects and develop efficient data pipelines within the organization. This role is essential for optimizing data architecture to meet the needs of cross-functional teams, ensuring rapid data ingestion into global platforms while upholding data integrity and accessibility. The successful candidate will collaborate with stakeholders to promote data-driven decision-making and enhance data initiatives. As a subject-matter expert, the Data Engineering Lead will mentor team members at all levels, fostering their development and ensuring adherence to best practices in data engineering.\r\nResponsibilities\r\nLead technical data engineering projects, ensuring rapid data ingestion into regional and global platforms.\r\nGuide the development, testing, and maintenance of large-scale data pipelines while adhering to best practices and quality standards.\r\nSupport software developers, database architects, data analysts, and data scientists in enhancing data accessibility and usability.\r\nMaintain consistency in data delivery architecture across projects by following established reference architecture.\r\nRecommend and implement optimized data pipeline architectures for cross-functional teams.\r\nDesign and deploy data flow processes that meet the needs of various systems and products.\r\nAssemble complex data sets to meet business requirements and support strategic initiatives.\r\nIdentify and implement internal process improvements for data reliability, efficiency, and quality.\r\nMentor team members to foster development and ensure adherence to data engineering best practices.\r\nCollaborate with the data analytics community to integrate new data sources and develop operational procedures with operations teams.\r\nRequired Education and Experience\r\nUndergraduate Degree in Computer Science, Logistics, Mathematics, Statistics, or related field\r\n3+ years of experience in data engineering or equivalent role\r\nStrong understanding of SQL and database management systems (e.g., MySQL, PostgreSQL, SQL Server).\r\nProven experience in data pipeline development and management in Azure environments.\r\nProficient with Azure Data Factory, Azure Databricks, or Azure Synapse Analytics.\r\nFamiliar with data warehousing solutions and large datasets.\r\nProficient in programming languages such as Python, Java, or Scala.\r\nKnowledge of data modeling, ETL processes, and data warehousing concepts in Azure.\r\nExperience with data visualization tools (e.g., Power BI).\r\nUnderstanding of data governance and quality principles.\r\nExperience leading data initiatives.\r\nAbility to mentor and support data engineers and guide project direction.\r\nKnowledge of machine learning concepts and tools for advanced analytics.\r\nUnderstanding of containerization and orchestration technologies (e.g., Docker, Kubernetes).\r\nOur Organization has a business casual environment and focuses on teamwork, associate development, training, and continuous improvement. We offer competitive wages, excellent affordable insurance benefits (including health, dental, vision and life), 401K plan, paid vacation and holidays.\r\nOur Organization is an equal opportunity employer.\r\nJ-18808-Ljbffr","datePosted":"2026-07-04T02:42:35.921Z","dateModified":"2026-07-04T02:42:35.921Z","hiringOrganization":{"@type":"Organization","name":"Supply Chain Services","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Westerville","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9e257e8baebdee291de61dfe"},"url":"https://jobsearcher.com/jobs/9e257e8baebdee291de61dfe"}}