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3 results for Remote in Willis, TX

Data Engineer

Spring, TX
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer to support scalable data solutions for a long-term contract opportunity in The Woodlands, Texas. This role focuses on designing and optimizing data pipelines, integrating large-scale data sources, and enabling reliable access to critical business information. The ideal candidate will bring strong hands-on experience with modern big data technologies and a practical approach to building efficient ETL workflows. Responsibilities: • Build, maintain, and enhance robust data pipelines to process large volumes of structured and unstructured information. • Develop ETL workflows that transform raw data into reliable datasets for analytics, reporting, and operational use. • Use Python and Apache Spark to engineer high-performance data processing solutions across distributed environments. • Work with Apache Hadoop ecosystems to manage storage and support scalable data operations. • Integrate streaming and event-driven data using Apache Kafka to improve data availability and timeliness. • Monitor data workflows, troubleshoot processing issues, and implement improvements that increase reliability and efficiency. • Collaborate with technical and business stakeholders to understand data needs and translate them into practical engineering solutions. • Document pipeline architecture, data flow logic, and operational procedures to support maintainability and team knowledge sharing.
2026-09-02T00:00:00Z

Dayforce Implementation Consultant

Houston, TX
remote
Permanent / Full Time
100000 - 125000 USD / Yearly
Dayforce Technical Application Owner Company OverviewA leading organization in a complex, multi-location operating environment is seeking a skilled technology professional to oversee its human capital management systems. The organization is committed to operational excellence, workforce optimization, and leveraging technology to improve employee experiences and business outcomes. This organization supports a dynamic workforce and relies on scalable, secure, and compliant HR technology solutions. Role SummaryThe Dayforce Technical Application Owner serves as the technical leader and subject matter expert for a critical Human Capital Management (HCM) platform, with primary responsibility for Payroll, Timekeeping, and Scheduling capabilities. This role will drive system strategy, technical configuration, integrations, operational stability, and continuous improvement initiatives while partnering closely with HR, Payroll, Finance, Operations, and IT teams. The successful candidate will combine hands-on system expertise with strong business acumen to ensure accurate, compliant, and efficient workforce management processes. Key Responsibilities<ul><li>Own the technical configuration and administration of Payroll, Timekeeping, and Scheduling modules, including pay rules, work rules, accrual policies, entitlement rules, and scheduling configurations.</li><li>Develop and execute the platform roadmap, including automation initiatives, process improvements, system enhancements, and adoption of new capabilities.</li><li>Design and maintain scalable workflows, security models, organizational structures, approval processes, and compensation-related configurations.</li><li>Lead the design, implementation, and support of integrations with HR, Finance, Payroll, Benefits, Recruiting, Banking, Tax, and business intelligence systems.</li><li>Manage API, file-based, middleware, and data exchange integrations, ensuring reliability, security, and operational efficiency.</li><li>Support integration and reconciliation activities across multiple HCM platforms, including Workday-related environments where applicable.</li><li>Serve as the technical escalation point for payroll processing issues, timekeeping discrepancies, interface failures, and scheduling challenges.</li><li>Monitor system performance, integrations, automated jobs, and data quality processes while resolving technical issues and coordinating vendor support.</li><li>Lead system upgrades, releases, patches, regression testing efforts, and change management activities.</li><li>Ensure compliance with payroll regulations, tax requirements, labor policies, security standards, and data governance requirements.</li><li>Maintain system architecture documentation, configuration standards, integration diagrams, operational runbooks, and technical procedures.</li><li>Partner with business stakeholders and vendors to translate requirements into scalable technical solutions and long-term platform strategies.</li></ul>Additional Details<ul><li>Remote</li><li>High-impact role supporting a business-critical workforce management platform</li><li>Significant cross-functional collaboration with HR, Payroll, Finance, Operations, and IT teams</li><li>Opportunity to lead enterprise-wide system enhancements, integrations, and transformation initiatives</li></ul>
2026-08-17T00:00:00Z

Artificial Intelligence (AI) Engineer

Houston, TX
remote
Temporary to Hire
47.5 - 55 USD / Hourly
We are looking for an Artificial Intelligence (AI) Engineer to join a fast-paced team and help shape intelligent, scalable solutions that support healthcare technology initiatives. This contract position with potential for a permanent role is ideal for someone who combines strong software and data engineering fundamentals with a genuine interest in applied AI, automation, and modern cloud platforms. In this role, you will contribute to building robust data products, intelligent workflows, and AI-enabled services that improve operational insight and decision-making across the healthcare lifecycle. Responsibilities: • Design and implement scalable data workflows and system integrations using Azure-based services to support enterprise healthcare applications. • Partner with technical and business teams to uncover opportunities where AI-driven automation can streamline processes and improve outcomes. • Build and enhance autonomous or semi-autonomous agent capabilities that interact with data platforms, observe system behavior, and surface actionable insights. • Develop and maintain cloud-based analytics and data warehousing solutions using tools such as Azure Synapse, Data Lake, and Power BI. • Apply machine learning and AI methods to strengthen data processing, classification, detection, and operational decision support. • Ensure engineering solutions align with security, compliance, and deployment standards required for regulated healthcare environments. • Contribute to API development, platform reliability, and performance optimization across data and application ecosystems. • Participate in Agile team activities, share technical recommendations, and help advance engineering best practices through continuous improvement.
2026-09-09T00:00:00Z