Analytics Engineer

Job Description ANALYTICS ENGINEERLocation:Houston, TX Employment Type:Full-Time Work Model:Hybrid - Onsite 4 days per week Reports To:Sr. Manager, Data & AnalyticsABOUT THE ROLE We are seeking anAnalytics Engineerto join our Data & Analytics team and play a key role in designing, developing, and maintaining our enterprise data platform. This position combines strong SQL development, data engineering, data warehousing, semantic modeling, and analytics expertise to ensure reliable, scalable, and high-quality data is available to business users and analytics teams.The Analytics Engineer will support theSr. Manager, Data & Analyticsby executing the hands-on technical work required to maintain, optimize, and continuously evolve the enterprise data platform. The ideal candidate is comfortable working across the data stack—from ETL/ELT pipelines and data warehouses to semantic models and certified datasets—and has a strong focus on data quality, performance, reliability, and maintainability.KEY RESPONSIBILITIES Data Engineering & Data Platform Development Design, develop, and maintain enterprise data warehouse structures, tables, views, and related data assetsDevelop efficient and scalable SQL queries, stored procedures, transformations, and data modelsBuild and maintain ETL/ELT processes that integrate data from multiple enterprise sourcesDevelop and support data pipelines usingAzure Data FactoryMonitor data pipelines and proactively identify, troubleshoot, and resolve failures and data processing issuesImplement appropriate error handling, logging, alerting, and recovery processesSupport the ongoing enhancement and evolution of the enterprise data platformAnalytics & Semantic Modeling Design and maintain semantic models that enable consistent, trusted, and user-friendly access to enterprise dataDevelop and maintain certified datasets for reporting, analytics, and business intelligenceTranslate business and analytical requirements into scalable data models and technical solutionsEstablish consistent definitions, relationships, calculations, and business logic across analytical datasetsPartner with data analysts, BI developers, and business stakeholders to ensure data solutions meet reporting and analytical needsData Quality & Performance Develop and automate data quality checks, validation processes, and monitoring capabilitiesIdentify data quality issues and work with appropriate teams to determine root causes and implement solutionsOptimize SQL queries, data models, and pipelines to improve performance and scalabilityPerform platform performance tuning and identify opportunities to improve reliability and efficiencyMonitor overall data platform health and contribute to performance and capacity improvementsDocumentation & Best Practices Create and maintain technical documentation for data models, pipelines, transformations, processes, and data definitionsEstablish and follow standards for SQL development, data modeling, pipeline development, and data qualityContribute to data engineering best practices, development standards, and platform governanceParticipate in code reviews and provide recommendations to improve the quality, maintainability, and performance of data solutionsRequirementsREQUIRED QUALIFICATIONS Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field, or equivalent professional experience3+ years of experience in analytics engineering, data engineering, business intelligence, data warehousing, or a related disciplineStrong hands-on experience withSQLand relational databasesExperience designing and developing data warehouse solutionsExperience developing and supportingETL/ELT pipelinesExperience withAzure Data Factoryor a similar cloud-based data integration platformStrong understanding of data modeling, including dimensional modeling and analytical data structuresExperience developing semantic models and curated/certified datasetsExperience troubleshooting data pipelines, identifying root causes, and resolving data issuesUnderstanding of data quality, validation, monitoring, and automated testing conceptsStrong analytical and problem-solving skillsAbility to document technical solutions clearly and effectivelyPREFERRED QUALIFICATIONS Experience working within theMicrosoft Azuredata and analytics ecosystemExperience with Power BI or similar business intelligence platformsExperience with Azure SQL, SQL Server, Azure Synapse Analytics, Microsoft Fabric, or similar data platformsExperience with source control and collaborative development practices such as GitExperience with CI/CD and deployment processes for data solutionsKnowledge of data governance, metadata management, and enterprise data standardsExperience optimizing large-scale SQL queries and data warehouse workloadsFamiliarity with automated data quality and pipeline monitoring frameworksExperience working in an enterprise environment with multiple data sources and business domainsBenefitsFull-Time, Salaried Position Bonus opportunity of 10-15% Benefits 401 KRequirements 3+ years of experience in analytics engineering, data engineering, business intelligence, data warehousing, or a related discipline Strong hands-on experience with SQL and relational databases Experience designing and developing data warehouse solutions Experience developing and supporting ETL/ELT pipelines Experience with Azure Data Factory or a similar cloud-based data integration platform Strong understanding of data modeling, including dimensional modeling and analytical data structures Experience developing semantic models and curated/certified datasets Experience troubleshooting data pipelines, identifying root causes, and resolving data issues Understanding of data quality, validation, monitoring, and automated testing concepts Strong analytical and problem-solving skills Ability to document technical solutions clearly and effectively PREFERRED QUALIFICATIONS Experience working within the Microsoft Azure data and analytics ecosystem Experience with Power BI or similar business intelligence platforms Experience with Azure SQL, SQL Server, Azure Synapse Analytics, Microsoft Fabric, or similar data platforms Experience with source control and collaborative development practices such as Git Experience with CI/CD and deployment processes for data solutions Knowledge of data governance, metadata management, and enterprise data standards Experience optimizing large-scale SQL queries and data warehouse workloads Familiarity with automated data quality and pipeline monitoring frameworks Experience working in an enterprise environment with multiple data sources and business domains