Data Engineer

Job Title: Data Engineer IILocation: Windy Hill Road Area – Hybrid (3 days onsite, subject to change)Full-time/Direct-hire roleSummaryData Engineer II is a fully proficient, independent contributor responsible for designing, developing, and maintaining scalable and reliable data solutions within a modern enterprise data environment. This role supports both delivery and production support functions, including data engineering, design, and light data analysis. The position requires strong attention to detail, analytical thinking, and the ability to operate in a fast-paced, changing environment while maintaining accuracy and consistency.Essential Duties and ResponsibilitiesDesign, develop, and maintain moderately complex data pipelines, datasets, and integrationsSupport both new development and production data issues in enterprise environmentsTranslate business requirements into scalable, supportable technical solutionsOptimize SQL queries, data models, and ETL processes for performance and reliabilityPerform data validation to ensure accuracy across reporting and analytics outputsTroubleshoot and resolve data and reporting issues end-to-end with minimal supervisionSupport enterprise BI solutions, including dashboards, datasets, and semantic modelsContribute to data architecture standards, coding best practices, and documentationCollaborate with cross-functional teams on reporting and analytics needsParticipate in peer code reviews and provide constructive feedbackManage multiple priorities in a fast-paced environment with shifting demandsOther duties as assignedTechnical EnvironmentCandidates should have experience in or exposure to a modern enterprise data stack, including:SQL ServerOraclePythonMicrosoft FabricPower BISAP BI / Crystal ReportsEnterprise Data Warehouse / BI ecosystemsHard Requirements3–6 years of data engineering or related experienceStrong proficiency in SQL and relational databasesExperience building or supporting ETL/data integration pipelinesUnderstanding of dimensional modeling and BI/reporting dependenciesHands-on experience with enterprise analytics environments (data pipelines, data warehouses, semantic models)Experience supporting production reporting systemsFamiliarity with DevOps concepts and version controlStrong analytical ability with some data analysis responsibilitiesExcellent communication skills (written and verbal — must be client-ready)Ability to multitask and adapt to changing prioritiesStrong attention to detail and consistent executionBonus / Preferred QualificationsExperience with the Microsoft Fabric ecosystemExposure to Power BI dataset modeling and refresh behaviorExperience in SAP BI or Crystal Reports environmentsExperience in enterprise-scale BI or data warehouse environmentsExposure to agile / DevOps delivery environmentsEducationBachelor's degree in Computer Science, Management Information Systems, or equivalent experience