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6 results for Iseries Programmer Rpg 3 Or 4 in Flower Mound, TX

Data Engineer
  • Denton, TX
  • onsite
  • Permanent
  • 100000.00 - 120000.00 USD / Yearly
  • <p>Our client is looking for an experienced Data Governance Analyst to join their growing team. They need someone who can: Lead the development and implementation of data governance frameworks to support academic, administrative, and research data needs across the university system. Establish data stewardship roles and clarify data ownership for key institutional domains such as student information, financial aid, HR, research compliance, and finance. Create and enforce data policies, standards, and procedures to improve data quality, accuracy, accessibility, and security across campuses and departments. Ensure compliance with higher-ed regulatory and reporting requirements (e.g., FERPA, IPEDS, NCAA, state reporting), and coordinate with Legal, IT Security, and Institutional Compliance teams. Implement and optimize governance technology (data catalog, lineage, and quality tools) to support system-wide reporting, analytics, and decision support. Promote data literacy and provide training to faculty, staff, and administrators to enhance responsible and effective data use. Facilitate collaboration across academic units, administrative offices, and central IT to align governance efforts with institutional priorities and operational needs. Monitor data quality and governance KPIs, report progress to leadership, and drive continuous improvement to support strategic planning, accreditation, and institutional research initiatives. Expereince as a Data Governance analyst. They have a fragmented Data Governance framework in place, and the goal is for this person to unify it across the enterprise. The ideal candidate will be a data Governance Analyst looking for a more challenging opportunity to lead the implementation of Purview and advancing our data governance practices. Administration experience with Microsoft Purview or a similar tool like Collibra, Informatica, Databricks, Etc. This role will be assisting to connect Microsoft Fabric to Purview. Experience with Microsoft Purview is preferred. They have the Data Security layer of Purview implemented. This role will be working with the Microsoft partner implement the Data Governance layer (Unified Data Catalogue, Data Quality, Data Lineage, Data Health management.) See attached overview. Excellent communication skills. Someone who will lead change and help advance their DG practice. Get buy in from stakeholders. </p>
  • 2026-03-17T17:48:44Z
Sr. Infrastructure Engineer
  • Carrollton, TX
  • onsite
  • Temporary
  • 55.41 - 64.16 USD / Hourly
  • <p><strong>Our Client</strong> is seeking a highly skilled and proactive <strong>Senior Systems Engineer</strong> to join their IT Infrastructure team. This role is a cornerstone of technical operations, responsible for architecting, maintaining, and securing the mission-critical systems that power their financial services.</p><p>As a Senior Engineer, you will bridge the gap between high-level architectural design and hands-on technical execution. You will lead complex projects, mentor junior staff, and ensure a hybrid environment—spanning on-premises Cisco networking, VMware/Horizon VDI, and Azure cloud services—operates at peak performance and security.</p><p><br></p><p><strong>Title: Systems Engineer </strong></p><p><strong>Location: Carrollton, Tx </strong></p><p><strong>Duration: 6 month extensions possible </strong></p><p><strong>Pay: $50-65 per hour </strong></p><p><br></p><p>Key Responsibilities</p><ul><li><strong>Infrastructure Architecture & Leadership:</strong> Lead the design, testing, and implementation of complex technical projects. Research and architect infrastructure and security solutions in collaboration with the Security team.</li><li><strong>Systems Administration:</strong> Install, configure, and maintain technical infrastructure, ensuring high availability and performance of Enterprise systems.</li><li><strong>VDI & Virtualization Management:</strong> Serve as a Subject Matter Expert in Horizon VDI and VMware environments (7+ years of experience required).</li><li><strong>Cloud Operations:</strong> Manage and optimize the Azure platform, including virtual machines, block storage, Entra ID (Active Directory), virtual networks, and VPN gateways.</li><li><strong>Network & Hardware Support:</strong> Perform mid-to-advanced network administration, including the configuration of Cisco switches and routers.</li><li><strong>Disaster Recovery & Data Protection:</strong> Oversee backup procedures and Disaster Recovery (DR) protocols, utilizing <strong>Pure Storage</strong> for on-premises backup solutions.</li><li><strong>Automation & Efficiency:</strong> Identify and lead efforts to automate repetitive IT processes to improve departmental scaling.</li><li><strong>Security & Compliance:</strong> Monitor system and software security in cooperation with security administrators, ensuring all actions meet organizational confidentiality policies and values.</li><li><strong>Collaboration & Mentorship:</strong> Supervise and mentor junior engineers. Coordinate with outside vendors and cross-functional teams to solve complex problems.</li><li><strong>Documentation & Support:</strong> Prepare and maintain rigorous system documentation. Participate in a 24x7 on-call rotation to support mission-critical operations.</li></ul><p><br></p>
  • 2026-03-12T20:23:42Z
Senior Data Engineer
  • Plano, TX
  • onsite
  • Permanent
  • 140000.00 - 170000.00 USD / Yearly
  • <p>We are seeking a highly experienced Senior Data Engineer professional to lead the design, development, and operationalization of advanced data and AI/ML solutions. This role requires a strong technical foundation in cloud platforms, modern data engineering frameworks, ML system deployment, and semantic data modeling. The ideal candidate combines deep technical expertise with strong leadership and communication skills to guide teams and drive strategic initiatives across the organization.</p><p><br></p><p><strong>Technical Leadership</strong></p><ul><li>Lead the end-to-end design, development, deployment, and maintenance of large-scale data engineering and machine learning pipelines.</li><li>Architect and operationalize AI/ML systems in production environments, ensuring high reliability, performance, and observability.</li><li>Leverage cloud platforms (GCP or AWS) to build scalable, secure, and cost‑efficient data and ML infrastructure.</li><li>Utilize streaming and real-time processing technologies such as Apache Kafka and Apache Flink to support event-driven architectures and advanced analytics use cases.</li><li>Develop robust data transformations and semantic models using tools such as dbt.</li><li>Implement and maintain Infrastructure as Code using Terraform or similar frameworks.</li><li>Ensure cloud architectures follow best practices for security, compliance, and governance.</li></ul><p><strong>Team & Cross-Functional Leadership</strong></p><ul><li>Provide technical leadership, mentorship, and guidance to data engineers, ML engineers, and other stakeholders.</li><li>Collaborate closely with Data Science, DevOps, Security, and Product teams to ensure cohesive delivery of data and ML initiatives.</li><li>Communicate complex technical concepts clearly to both technical and non-technical audiences, supporting informed decision‑making.</li></ul><p><strong>Operational Excellence</strong></p><ul><li>Maintain production AI/ML systems with focus on reliability, monitoring, versioning, and lifecycle management.</li><li>Establish and uphold engineering best practices, coding standards, CI/CD frameworks, and documentation.</li><li>Continuously evaluate emerging technologies, frameworks, and methodologies to strengthen the organization’s data and ML capabilities.</li></ul><p><br></p>
  • 2026-03-23T21:58:43Z
DevOps Engineer
  • Dallas, TX
  • onsite
  • Permanent
  • 135000.00 - 165000.00 USD / Yearly
  • <p><strong>Build cloud infrastructure that keeps global operations running.</strong></p><p>Join a team modernizing large‑scale systems and accelerating cloud‑native adoption through automation, Infrastructure as Code, and high‑impact observability practices. This role designs, automates, and operates AWS environments using Terraform, CI/CD pipelines, and modern monitoring tools. You’ll collaborate across engineering, product, QA, and security teams to deliver reliable, scalable, and secure platforms. The position plays a key role in application modernization, AWS migrations, platform optimization, and mentoring team members. </p><p><br></p><ul><li>Design, build, and maintain CI/CD pipelines (e.g., Jenkins, Bitbucket) for applications and infrastructure.</li><li>Develop and operate observability platforms (Datadog, Grafana, Dynatrace) to ensure system performance and reliability.</li><li>Support migration of legacy workloads into AWS and enable adoption of services like ECS, Lambda, Aurora, and S3.</li><li>Implement Infrastructure as Code using Terraform and build reusable automation modules.</li><li>Participate in code reviews and champion automated testing, monitoring, and release best practices.</li><li>Troubleshoot CI/CD, observability, and deployment issues for engineering teams.</li><li>Document processes, create playbooks, and share infrastructure diagrams.</li><li>Lead complex infrastructure initiatives and drive improvements across IaC, CI/CD, observability, and cloud architecture.</li><li>Mentor junior engineers and contribute to hiring, onboarding, and DevOps culture development.</li><li>Collaborate cross‑functionally and help shape long‑term cloud strategy (AWS‑first with some Azure support).</li></ul>
  • 2026-02-20T14:58:44Z
Software Developer
  • Frisco, TX
  • onsite
  • Permanent
  • 90000.00 - 110000.00 USD / Yearly
  • We are looking for a skilled Programmer Analyst to join our team in Frisco, Texas. In this role, you will design, develop, and maintain software applications to meet organizational objectives while ensuring optimal performance and compliance. This is an exciting opportunity to collaborate with cross-functional teams and contribute to innovative solutions.<br><br>Responsibilities:<br>• Design, develop, and implement software applications tailored to organizational needs.<br>• Troubleshoot, maintain, and optimize existing applications to enhance functionality and efficiency.<br>• Analyze user requirements and convert them into detailed technical specifications.<br>• Ensure applications align with corporate standards for security, reliability, and performance.<br>• Write, test, and debug code using appropriate programming languages and tools.<br>• Document workflows, processes, and technical specifications for future reference.<br>• Assist with system integration, data migration, and software implementation projects.<br>• Monitor application performance and conduct system audits to ensure smooth operation.<br>• Provide technical support to users and resolve application-related issues efficiently.<br>• Collaborate with vendors, consultants, and internal teams on complex development initiatives.
  • 2026-03-23T21:28:44Z
Data Engineer
  • Dallas, TX
  • onsite
  • Permanent
  • 135000.00 - 160000.00 USD / Yearly
  • We are looking for a Senior Data Engineer to develop and optimize enterprise data systems that support analytics and digital solutions. In this role, you will design and implement robust data architectures, ensuring seamless data integration and transformation processes across the organization. Your expertise will drive the creation of reliable pipelines and scalable infrastructure, enabling advanced analytics and machine learning capabilities.<br><br>Responsibilities:<br>• Design and implement scalable data pipelines using Databricks, Spark, and Delta Lake to support enterprise-level analytics.<br>• Develop and maintain efficient data models tailored for AI, analytics, and operational systems.<br>• Lead Master Data Management initiatives to establish unified and accurate data records across platforms.<br>• Create batch and near-real-time data processing workflows for structured and semi-structured datasets.<br>• Collaborate with AI and software development teams to ensure delivery of high-quality datasets for machine learning.<br>• Define and enforce data architecture standards, ensuring scalability, reliability, and governance.<br>• Troubleshoot and optimize data systems to maintain performance and reliability in complex environments.<br>• Partner with cloud and IT teams to integrate modern data platforms and ensure seamless functionality.
  • 2026-03-11T17:04:01Z