{"schemaVersion":"jobsearcher.job.v1","id":"63cc79c13ff6070a351c74e8","url":"https://jobsearcher.com/jobs/63cc79c13ff6070a351c74e8","canonicalUrl":"https://jobsearcher.com/jobs/63cc79c13ff6070a351c74e8","title":"Data Engineer","description":"Description About VantageWorks VantageWorks, LLC on behalf of The Providence Groups, LLC, is a managed services provider (MSP) that partners with entrepreneurial business owners to provide turnkey solutions across operations, finance, human resources, technology, and strategic services. We help businesses scale with confidence by building the people, processes, and technology that drive long-term success.\r\nPosition Summary VantageWorks is seeking a Data Engineer to help build and support the data infrastructure that powers our growing organization. You'll develop data pipelines, improve data quality, and create scalable solutions that support reporting, business intelligence, and future AI initiatives. This is an excellent opportunity for someone who enjoys solving complex problems and wants to help build a modern data platform from the ground up.\r\nKey Responsibilities Design, build, and maintain scalable ETL/ELT data pipelines.\r\nIntegrate data from APIs, flat files, cloud platforms, and operational systems.\r\nClean, validate, transform, and document data.\r\nWrite, optimize, and troubleshoot SQL queries.\r\nDevelop Python scripts for automation and data transformation.\r\nCollaborate with business stakeholders.\r\nSupport data quality and governance.\r\nContribute to cloud-based data architecture.\r\nPartner with external consultants.\r\nHelp establish the foundation for AI and advanced analytics.\r\nWhy Join Our Team? Be an early member of a growing technology function.\r\nInfluence the future of our data ecosystem.\r\nCollaborate directly with executive leadership.\r\nReceive mentorship from experienced data professionals.\r\nWork across diverse industries.\r\nGrow with an organization investing in data and AI.\r\nRequirements Required Qualifications 1–3 years of relevant experience.\r\nStrong SQL skills- writing, debugging, and optimizing queries against real business data\r\nPython (Pandas or similar) for data work.\r\nExperience with a cloud data platform such as Microsoft Fabric, Databricks, Snowflake, Azure Synapse, or equivalent.\r\nExperience building ETL/ELT pipelines.\r\nExperience integrating APIs and flat-file data.\r\nStrong analytical and problem-solving skills.\r\nAbility to work independently and collaboratively\r\nAbility to work with real-world data: profiling, cleaning, validating, documenting\r\nPreferred Experience 3–5 years of experience.\r\nExposure to Lakehouse/Medallion architecture (bronze, silver, gold)\r\nERP, Payroll/HCM, CRM, or EHR data.\r\nPower BI semantic models.\r\nExposure to AI/LLM tooling (APIs, embeddings, retrieval)\r\nGit and version control\r\nWhat Makes Someone Successful Curious and eager to solve business problems.\r\nComfortable building new processes.\r\nSelf-directed and proactive.\r\nPassionate about clean, scalable data.\r\nStrong communicator with technical and non-technical audiences.\r\nJ-18808-Ljbffr","company":"Socket","rawCompany":"socket","city":"White House","state":"TN","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:49:50.083Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Description About VantageWorks VantageWorks, LLC on behalf of The Providence Groups, LLC, is a managed services provider (MSP) that partners with entrepreneurial business owners to provide turnkey solutions across operations, finance, human resources, technology, and strategic services. We help businesses scale with confidence by building the people, processes, and technology that drive long-term success.\r\nPosition Summary VantageWorks is seeking a Data Engineer to help build and support the data infrastructure that powers our growing organization. You'll develop data pipelines, improve data quality, and create scalable solutions that support reporting, business intelligence, and future AI initiatives. This is an excellent opportunity for someone who enjoys solving complex problems and wants to help build a modern data platform from the ground up.\r\nKey Responsibilities Design, build, and maintain scalable ETL/ELT data pipelines.\r\nIntegrate data from APIs, flat files, cloud platforms, and operational systems.\r\nClean, validate, transform, and document data.\r\nWrite, optimize, and troubleshoot SQL queries.\r\nDevelop Python scripts for automation and data transformation.\r\nCollaborate with business stakeholders.\r\nSupport data quality and governance.\r\nContribute to cloud-based data architecture.\r\nPartner with external consultants.\r\nHelp establish the foundation for AI and advanced analytics.\r\nWhy Join Our Team? Be an early member of a growing technology function.\r\nInfluence the future of our data ecosystem.\r\nCollaborate directly with executive leadership.\r\nReceive mentorship from experienced data professionals.\r\nWork across diverse industries.\r\nGrow with an organization investing in data and AI.\r\nRequirements Required Qualifications 1–3 years of relevant experience.\r\nStrong SQL skills- writing, debugging, and optimizing queries against real business data\r\nPython (Pandas or similar) for data work.\r\nExperience with a cloud data platform such as Microsoft Fabric, Databricks, Snowflake, Azure Synapse, or equivalent.\r\nExperience building ETL/ELT pipelines.\r\nExperience integrating APIs and flat-file data.\r\nStrong analytical and problem-solving skills.\r\nAbility to work independently and collaboratively\r\nAbility to work with real-world data: profiling, cleaning, validating, documenting\r\nPreferred Experience 3–5 years of experience.\r\nExposure to Lakehouse/Medallion architecture (bronze, silver, gold)\r\nERP, Payroll/HCM, CRM, or EHR data.\r\nPower BI semantic models.\r\nExposure to AI/LLM tooling (APIs, embeddings, retrieval)\r\nGit and version control\r\nWhat Makes Someone Successful Curious and eager to solve business problems.\r\nComfortable building new processes.\r\nSelf-directed and proactive.\r\nPassionate about clean, scalable data.\r\nStrong communicator with technical and non-technical audiences.\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:49:50.083Z","dateModified":"2026-08-08T01:49:50.083Z","hiringOrganization":{"@type":"Organization","name":"Socket","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"White House","addressRegion":"TN","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"63cc79c13ff6070a351c74e8"},"url":"https://jobsearcher.com/jobs/63cc79c13ff6070a351c74e8"}}