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Data Engineer I
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Robert Half
Houston, TX (In Person)
Full-Time
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Job Description
Data Automation Engineer - Azure / AI /
The ideal candidate brings strong experience in Azure data services, ETL pipeline development, and automation, along with a delivery-focused mindset and the ability to translate complex business requirements into technical solutions. This role supports mission-critical environments and requires eligibility for a Public Trust clearance.
Key ResponsibilitiesData Engineering & Pipeline DevelopmentDesign and implement data pipelines using Azure Data Factory, Synapse, Spark, SQL, and PythonBuild and maintain ETL/ELT workflows across structured and unstructured data sourcesSupport data ingestion, transformation, and integration for enterprise analytics platformsAutomation & AI IntegrationDevelop automation solutions to improve efficiency, scalability, and reliability of data workflowsResearch and implement AI/ML and Generative AI tools to enhance data processing and insightsEliminate bottlenecks through intelligent automation and workflow optimizationData Quality, Governance & PerformanceImplement data quality, integrity, and metadata management practicesMonitor and troubleshoot pipelines to ensure high availability and performancePerform performance testing, tuning (query optimization, indexing), and pipeline benchmarkingCollaboration & DeliveryPartner with engineering, DevOps, and business stakeholders to develop solutionsParticipate in Agile/DevOps processes and continuous delivery cyclesDocument pipeline performance, test results, and system improvements
Data PlatformsClearance Requirement:
ability to obtain Public TrustPosition OverviewWe are seeking a highly motivated Data Automation Engineer to design and implement modern, AI‑driven data solutions within a Microsoft Azure-based analytics ecosystem. This role focuses on building scalable pipelines, automating workflows, and integrating advanced analytics and AI capabilities across enterprise data platforms.The ideal candidate brings strong experience in Azure data services, ETL pipeline development, and automation, along with a delivery-focused mindset and the ability to translate complex business requirements into technical solutions. This role supports mission-critical environments and requires eligibility for a Public Trust clearance.
Key ResponsibilitiesData Engineering & Pipeline DevelopmentDesign and implement data pipelines using Azure Data Factory, Synapse, Spark, SQL, and PythonBuild and maintain ETL/ELT workflows across structured and unstructured data sourcesSupport data ingestion, transformation, and integration for enterprise analytics platformsAutomation & AI IntegrationDevelop automation solutions to improve efficiency, scalability, and reliability of data workflowsResearch and implement AI/ML and Generative AI tools to enhance data processing and insightsEliminate bottlenecks through intelligent automation and workflow optimizationData Quality, Governance & PerformanceImplement data quality, integrity, and metadata management practicesMonitor and troubleshoot pipelines to ensure high availability and performancePerform performance testing, tuning (query optimization, indexing), and pipeline benchmarkingCollaboration & DeliveryPartner with engineering, DevOps, and business stakeholders to develop solutionsParticipate in Agile/DevOps processes and continuous delivery cyclesDocument pipeline performance, test results, and system improvements