We are looking for a Data Engineer to join a confidential enterprise organization in McKinney, Texas and help advance a large-scale cloud data environment. This contract opportunity with potential for a permanent role focuses on building and refining a modern lakehouse platform in Azure, with a strong emphasis on Azure Databricks and scalable data engineering practices. The role will work across technical and business teams to create dependable, secure, and high-performing data solutions that support analytics and decision-making.<br><br>Responsibilities:<br>• Create and maintain robust data pipelines in Azure Databricks using Spark-based engineering approaches to support large-volume processing needs.<br>• Build ingestion frameworks that bring data from APIs, event streaming platforms, cloud storage, and enterprise systems into structured lakehouse layers.<br>• Apply lakehouse design standards across bronze, silver, and gold environments to improve data usability, consistency, and downstream reporting value.<br>• Enhance platform efficiency by tuning Spark workloads, refining storage strategies, and improving processing performance and cost management.<br>• Connect Databricks solutions with Azure services such as Data Factory, Synapse, Data Lake Storage, Event Hub, Key Vault, and Azure DevOps.<br>• Establish secure data access patterns through governance controls, identity-based access, and protection measures such as masking and policy alignment.<br>• Partner with architects, analysts, data scientists, and business stakeholders to deliver trusted datasets, metrics, and KPI-ready data assets.<br>• Strengthen data reliability by implementing validation checks, monitoring, lineage tracking, alerting, and recovery processes for critical workflows.<br>• Contribute technical leadership through code reviews, engineering guidance, and mentoring support for other members of the data team.
<p>We are looking for a Data Engineer to help strengthen financial decision-making by building reliable data and automation capabilities that support planning and analysis. This position works closely with finance leaders and business partners to turn strategic goals into scalable data solutions, improving visibility, speed, and confidence in reporting. </p><p><br></p><p>Responsibilities:</p><p>• Design and maintain data pipelines that convert financial and operational information into trusted, analysis-ready datasets for planning and reporting.</p><p>• Create scalable data models and structured finance data assets within the broader enterprise ecosystem to support consistent, governed analytics.</p><p>• Develop automation solutions using tools such as Python, Excel, and workflow platforms to streamline recurring finance processes and increase team capacity.</p><p>• Build near real-time data transformation processes that improve the timeliness and accuracy of performance visibility for stakeholders.</p><p>• Apply AI-enabled techniques such as anomaly detection, forecasting support, and variance analysis to enhance financial insight generation.</p><p>• Deliver self-service analytics tools and reporting frameworks that allow business users to explore key metrics and make informed decisions independently.</p><p>• Establish documentation, data standards, and governance practices that improve maintainability, quality, and long-term adoption of solutions.</p><p>• Monitor and support automated jobs and bot-driven processes, including troubleshooting, performance oversight, and control management.</p><p>• Translate complex data findings into clear, executive-level outputs that help guide business strategy and financial priorities</p>
<p>We are looking for a MLOps Engineer II w/ a focus on GPU Compute to join a team in Coppell, Texas, on a Long-term Contract assignment. In this role, you will design and refine vision-based AI solutions that support real-world image and video use cases, while partnering with cross-functional teams to move ideas from research into production. The position is ideal for someone who combines strong machine learning expertise with practical understanding of hardware constraints and model performance in live environments.</p><p><br></p><p><strong>Responsibilities:</strong></p><p>•Deploy GPUs (Graphics Processing Units) workflows in a retail environment that requires processing massive amounts of image, video, customer, and transaction data.</p><p>•Design, build, and enhance computer vision and machine learning models for use cases involving object detection, image segmentation, classification, and video-based analysis.</p><p>•Compare modeling approaches, assess trade-offs across accuracy, speed, and scalability, and recommend fit-for-purpose solutions aligned with business goals.</p><p>•Train and adapt deep learning models using frameworks such as PyTorch or TensorFlow, applying techniques like transfer learning and optimization for efficient performance.</p><p>•Establish evaluation methods, track key performance measures, investigate error patterns, and iterate on models to improve reliability and response time.</p><p>•Incorporate practical considerations related to cameras, sensors, lighting conditions, and edge hardware when developing and tuning solutions.</p><p>•Create and support data preparation, annotation, and validation workflows that enable consistent experimentation and dependable deployment.</p><p>•Work closely with software, hardware, and MLOps partners to transition models from proof of concept into production-ready applications.</p><p>•Contribute to deployment readiness by helping optimize models for inference and operational use in resource-constrained environments.</p>
<p>A growing organization is seeking a Senior IAM Engineer / Architect with deep expertise in Saviynt Identity Governance and Administration (IGA) to lead enterprise identity governance initiatives. This role will be responsible for architecting and delivering scalable identity solutions, automating access management processes, integrating critical business applications, and strengthening compliance and security across the organization.</p><p><br></p><p><strong>POSITION TITLE:</strong> Senior IAM Engineer / Architect (Saviynt)</p><p><strong>LOCATION:</strong> Remote / Hybrid</p><p><strong>SALARY:</strong> Competitive, Based on Experience</p><p><br></p><p><strong>RESPONSIBILITIES</strong></p><ul><li>Lead the design, implementation, and optimization of Saviynt IGA solutions.</li><li>Build and enhance Joiner, Mover, Leaver (JML) workflows and identity lifecycle processes.</li><li>Develop RBAC models, birthright access frameworks, and automated provisioning/deprovisioning workflows.</li><li>Integrate cloud, SaaS, and on-prem applications with Saviynt using APIs and connectors.</li><li>Implement access request processes, certifications, entitlement reviews, and SoD controls.</li><li>Partner with security, audit, compliance, infrastructure, and business teams to strengthen identity governance.</li><li>Create audit-ready reporting and support regulatory compliance initiatives.</li></ul><p><br></p>