{"schemaVersion":"jobsearcher.job.v1","id":"551b6d9e3bbbf882237ef2ff","url":"https://jobsearcher.com/jobs/551b6d9e3bbbf882237ef2ff","canonicalUrl":"https://jobsearcher.com/jobs/551b6d9e3bbbf882237ef2ff","title":"Data Engineer - SQL","description":"Key Responsibilities\n\nDevelop, maintain, monitor, and optimize data pipelines that move information from operational business systems into the company’s enterprise data platform and data lake.\n\nDesign and maintain ETL and ELT processes using Azure Data Factory and related Azure data technologies.\n\nManage and support the company’s Azure Data Lake environment, including data organization, storage structures, processing workflows, access, and overall platform reliability.\n\nArchitect new data feeds and integrations from enterprise applications, APIs, databases, files, and other internal and external data sources.\n\nDevelop processes for ingesting structured and semi-structured data including SQL data, APIs, JSON, CSV, flat files, and other common data formats.\n\nTroubleshoot data feed failures, pipeline errors, processing issues, data discrepancies, and other problems affecting the availability or accuracy of business data.\n\nMonitor and improve data pipeline performance, processing times, query performance, resource utilization, and overall data platform efficiency.\n\nDevelop and maintain SQL queries, views, stored procedures, transformations, and reusable data structures used by reporting and business applications.\n\nDevelop curated datasets and reporting views that provide Power BI and other analytics tools with consistent, reliable, and understandable business data.\n\nWork with Power BI developers and data analysts to understand reporting requirements and translate business needs into appropriate data structures and models.\n\nDesign and maintain data models that support enterprise reporting, analytics, operational reporting, historical analysis, and KPI measurement.\n\nApply dimensional modeling principles where appropriate, including fact tables, dimension tables, relationships, measures, historical data, and common business entities.\n\nImprove business visibility into data by identifying opportunities to make information easier to access, understand, analyze, and use for decision-making.\n\nEstablish and maintain appropriate data quality controls, validation processes, reconciliation procedures, and monitoring to identify missing, inaccurate, duplicated, or inconsistent data.\n\nDevelop processes for incremental data loading, change detection, historical data retention, and efficient processing of large data sets.\n\nEstablish standards for data naming, definitions, structure, documentation, ownership, lineage, and appropriate use across enterprise reporting.\n\nSupport data governance initiatives that create consistent definitions and trusted sources for customers, employees, shipments, financial information, operational metrics, and other key business entities.\n\nHelp establish consistent enterprise KPIs and reporting definitions to reduce conflicting calculations and different versions of the same business metric.\n\nDocument data sources, pipelines, transformations, dependencies, business rules, data models, and reporting structures.\n\nMaintain visibility into dependencies between source systems, data pipelines, transformations, reporting datasets, and downstream applications.\n\nParticipate in the evaluation and implementation of new data technologies, tools, integrations, and architectural improvements.\n\nWork with application developers, infrastructure teams, data analysts, project managers, and business stakeholders to support new projects and data requirements.\n\nFollow appropriate security, access control, data privacy, change management, testing, and development practices when working with enterprise data.\n\nProactively identify opportunities to improve data reliability, processing performance, automation, scalability, maintainability, and overall data architecture.\n\nQualifications\n\n3+ years of experience in data engineering, data integration, database development, business intelligence engineering, or a related technical role.\n\nStrong experience with Microsoft Azure data technologies, particularly Azure Data Factory, Azure Data Lake Storage, and DataBricks.\n\nStrong SQL skills with experience developing complex queries, views, stored procedures, transformations, and reporting datasets.\n\nExperience designing, developing, and maintaining ETL and ELT pipelines that integrate multiple enterprise data sources.\n\nExperience integrating data through REST APIs, databases, file transfers, JSON, CSV, flat files, and other common integration methods.\n\nStrong understanding of relational databases, data structures, database relationships, data types, indexing, and query optimization.\n\nUnderstanding of data warehousing concepts, dimensional modeling, fact and dimension tables, star schemas, and data structures designed for analytics.\n\nExperience preparing and modeling data for Power BI or similar business intelligence and visualization platforms.\n\nUnderstanding of Power BI data requirements, semantic models, relationships, refresh processes, and reporting performance considerations.\n\nExperience troubleshooting and optimizing data pipelines, SQL queries, transformations, and large data processing workloads.\n\nKnowledge of incremental loading, change data capture concepts, data synchronization, data dependencies, and historical data management.\n\nExperience implementing data validation, reconciliation, monitoring, logging, error handling, and data quality processes.\n\nUnderstanding of data governance concepts including data ownership, business definitions, lineage, documentation, access controls, quality, and trusted data sources.\n\nAbility to understand business processes and translate business reporting requirements into scalable technical data solutions.\n\nAbility to analyze data discrepancies and determine whether problems originate within source systems, integrations, transformation logic, data models, or reporting layers.\n\nExperience with Python for data processing, automation, integration, or data engineering is required.\n\nFamiliarity with Git or other source control and development lifecycle practices.\n\nFamiliarity with Azure security, role-based access control, service accounts, credentials, and secure data integration practices.\n\nExperience working with data originating from ERP, CRM, transportation, logistics, financial, warehouse, customer service, or other enterprise business systems is preferred.\n\nStrong analytical, troubleshooting, communication, organization, documentation, and problem-solving skills.\n\nAbility to explain technical data concepts, issues, dependencies, and recommendations clearly to both technical and non-technical stakeholders.\n\nAbility to work independently while collaborating cross-functionally with application development, infrastructure, analytics, project management, and business teams.\n\nAbility to take ownership of critical data processes and proactively identify potential failures, performance issues, data quality concerns, and architectural improvements.\n\nAbility to manage multiple priorities in a fast-paced environment with changing business and reporting needs.\n\nAbility to read, write, and speak English fluently.\n\nEducation\n\nBachelor’s degree in Computer Science, Software Engineering, or a related field; or equivalent practical experience","company":"RL Carriers","rawCompany":"rl carriers","city":"Ocala","state":"FL","isRemote":false,"isActive":false,"createdAt":"2026-09-02T07:49:51.016Z","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":"Data Engineer - SQL","description":"Key Responsibilities\n\nDevelop, maintain, monitor, and optimize data pipelines that move information from operational business systems into the company’s enterprise data platform and data lake.\n\nDesign and maintain ETL and ELT processes using Azure Data Factory and related Azure data technologies.\n\nManage and support the company’s Azure Data Lake environment, including data organization, storage structures, processing workflows, access, and overall platform reliability.\n\nArchitect new data feeds and integrations from enterprise applications, APIs, databases, files, and other internal and external data sources.\n\nDevelop processes for ingesting structured and semi-structured data including SQL data, APIs, JSON, CSV, flat files, and other common data formats.\n\nTroubleshoot data feed failures, pipeline errors, processing issues, data discrepancies, and other problems affecting the availability or accuracy of business data.\n\nMonitor and improve data pipeline performance, processing times, query performance, resource utilization, and overall data platform efficiency.\n\nDevelop and maintain SQL queries, views, stored procedures, transformations, and reusable data structures used by reporting and business applications.\n\nDevelop curated datasets and reporting views that provide Power BI and other analytics tools with consistent, reliable, and understandable business data.\n\nWork with Power BI developers and data analysts to understand reporting requirements and translate business needs into appropriate data structures and models.\n\nDesign and maintain data models that support enterprise reporting, analytics, operational reporting, historical analysis, and KPI measurement.\n\nApply dimensional modeling principles where appropriate, including fact tables, dimension tables, relationships, measures, historical data, and common business entities.\n\nImprove business visibility into data by identifying opportunities to make information easier to access, understand, analyze, and use for decision-making.\n\nEstablish and maintain appropriate data quality controls, validation processes, reconciliation procedures, and monitoring to identify missing, inaccurate, duplicated, or inconsistent data.\n\nDevelop processes for incremental data loading, change detection, historical data retention, and efficient processing of large data sets.\n\nEstablish standards for data naming, definitions, structure, documentation, ownership, lineage, and appropriate use across enterprise reporting.\n\nSupport data governance initiatives that create consistent definitions and trusted sources for customers, employees, shipments, financial information, operational metrics, and other key business entities.\n\nHelp establish consistent enterprise KPIs and reporting definitions to reduce conflicting calculations and different versions of the same business metric.\n\nDocument data sources, pipelines, transformations, dependencies, business rules, data models, and reporting structures.\n\nMaintain visibility into dependencies between source systems, data pipelines, transformations, reporting datasets, and downstream applications.\n\nParticipate in the evaluation and implementation of new data technologies, tools, integrations, and architectural improvements.\n\nWork with application developers, infrastructure teams, data analysts, project managers, and business stakeholders to support new projects and data requirements.\n\nFollow appropriate security, access control, data privacy, change management, testing, and development practices when working with enterprise data.\n\nProactively identify opportunities to improve data reliability, processing performance, automation, scalability, maintainability, and overall data architecture.\n\nQualifications\n\n3+ years of experience in data engineering, data integration, database development, business intelligence engineering, or a related technical role.\n\nStrong experience with Microsoft Azure data technologies, particularly Azure Data Factory, Azure Data Lake Storage, and DataBricks.\n\nStrong SQL skills with experience developing complex queries, views, stored procedures, transformations, and reporting datasets.\n\nExperience designing, developing, and maintaining ETL and ELT pipelines that integrate multiple enterprise data sources.\n\nExperience integrating data through REST APIs, databases, file transfers, JSON, CSV, flat files, and other common integration methods.\n\nStrong understanding of relational databases, data structures, database relationships, data types, indexing, and query optimization.\n\nUnderstanding of data warehousing concepts, dimensional modeling, fact and dimension tables, star schemas, and data structures designed for analytics.\n\nExperience preparing and modeling data for Power BI or similar business intelligence and visualization platforms.\n\nUnderstanding of Power BI data requirements, semantic models, relationships, refresh processes, and reporting performance considerations.\n\nExperience troubleshooting and optimizing data pipelines, SQL queries, transformations, and large data processing workloads.\n\nKnowledge of incremental loading, change data capture concepts, data synchronization, data dependencies, and historical data management.\n\nExperience implementing data validation, reconciliation, monitoring, logging, error handling, and data quality processes.\n\nUnderstanding of data governance concepts including data ownership, business definitions, lineage, documentation, access controls, quality, and trusted data sources.\n\nAbility to understand business processes and translate business reporting requirements into scalable technical data solutions.\n\nAbility to analyze data discrepancies and determine whether problems originate within source systems, integrations, transformation logic, data models, or reporting layers.\n\nExperience with Python for data processing, automation, integration, or data engineering is required.\n\nFamiliarity with Git or other source control and development lifecycle practices.\n\nFamiliarity with Azure security, role-based access control, service accounts, credentials, and secure data integration practices.\n\nExperience working with data originating from ERP, CRM, transportation, logistics, financial, warehouse, customer service, or other enterprise business systems is preferred.\n\nStrong analytical, troubleshooting, communication, organization, documentation, and problem-solving skills.\n\nAbility to explain technical data concepts, issues, dependencies, and recommendations clearly to both technical and non-technical stakeholders.\n\nAbility to work independently while collaborating cross-functionally with application development, infrastructure, analytics, project management, and business teams.\n\nAbility to take ownership of critical data processes and proactively identify potential failures, performance issues, data quality concerns, and architectural improvements.\n\nAbility to manage multiple priorities in a fast-paced environment with changing business and reporting needs.\n\nAbility to read, write, and speak English fluently.\n\nEducation\n\nBachelor’s degree in Computer Science, Software Engineering, or a related field; or equivalent practical experience","datePosted":"2026-09-02T07:49:51.016Z","dateModified":"2026-09-02T07:49:51.016Z","hiringOrganization":{"@type":"Organization","name":"RL Carriers","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ocala","addressRegion":"FL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"551b6d9e3bbbf882237ef2ff"},"url":"https://jobsearcher.com/jobs/551b6d9e3bbbf882237ef2ff"}}