<p>This opportunity is with a growing organization in the energy industry that is investing heavily in its cybersecurity capabilities. The team is seeking an experienced Cybersecurity Engineer to help strengthen security operations, protect enterprise systems and cloud environments, and support ongoing security modernization initiatives.</p><p><br></p><p><strong>POSITION TITLE:</strong> Cybersecurity Engineer</p><p><strong>LOCATION:</strong> Midland, TX (Onsite 5 Days per Week) - RELOCATION PROVIDED</p><p><strong>SALARY:</strong> $120,000 - $150,000 Base + Bonus + Long-Term Incentives</p><p><br></p><p><strong>RESPONSIBILITIES</strong></p><ul><li>Manage and enhance Identity and Access Management (IAM) solutions, including SSO, MFA, RBAC, Conditional Access, and Privileged Access Management.</li><li>Lead cybersecurity incident response activities, including threat detection, containment, remediation, recovery efforts, and post-incident analysis.</li><li>Administer and improve vulnerability management processes through security scanning, risk prioritization, remediation tracking, and collaboration with infrastructure teams.</li><li>Deploy, maintain, and optimize EDR/XDR, SIEM, and other security monitoring technologies to identify and respond to security threats.</li><li>Design and implement enterprise security controls, security policies, cloud security solutions, firewalls, DLP technologies, and intrusion prevention capabilities.</li></ul><p><br></p>
<p>We are seeking a technology-focused security leader to drive endpoint protection initiatives across a large enterprise environment. This role is suited for someone who operates with an enterprise mindset—understanding how tools, configurations, and policy decisions impact users, systems, and scalability across the organization. The ideal candidate can balance security, usability, and operational efficiency while clearly communicating trade-offs and recommendations to stakeholders. This position plays a key role in strengthening endpoint security capabilities, including the evaluation, implementation, and optimization of modern EDR and endpoint protection solutions. Experience with CrowdStrike is highly preferred; however, strong candidates with expertise in other enterprise endpoint security platforms will be considered.</p><p><br></p><p><strong>POSITION: ENDPOINT SEUCIRTY LEAD</strong></p><p><strong>LOCATION: DALLAS, TX</strong></p><p><strong>SALARY: $140K - $155K </strong></p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Lead the design, implementation, and ongoing support of endpoint security solutions across workstations, servers, and enterprise environments</li><li>Monitor, troubleshoot, and resolve issues related to endpoint protection tools, escalating complex challenges when necessary</li><li>Partner with cross-functional teams to implement security enhancements aligned with organizational standards and best practices</li><li>Evaluate new security technologies and provide recommendations based on risk, usability, and scalability considerations</li><li>Contribute to the endpoint security roadmap, driving continuous improvement and optimization initiatives</li><li>Ensure comprehensive malware detection and endpoint protection coverage across supported devices</li><li>Identify automation opportunities and assist in streamlining endpoint security operations and processes</li></ul><p><br></p>
We are looking for a Data Engineer to join a mission-driven team, where you will design and support the data foundation behind clinical reporting, advanced analytics, and predictive healthcare solutions. This contract position offers the opportunity to build dependable, scalable data workflows that deliver information from healthcare platforms and other source systems to clinicians and business teams. The role is highly hands-on and centers on transforming complex healthcare data into trusted, well-structured assets that support operational and clinical decision-making.<br><br>Responsibilities:<br>• Design, develop, and maintain robust data pipelines that move information from healthcare platforms and related source systems into analytics and reporting environments.<br>• Prepare, standardize, and validate data from claims, clinical records, and social determinants of health sources to ensure accuracy and usability.<br>• Apply sound data modeling practices to organize information for warehousing, business intelligence, and advanced analytical use cases.<br>• Build scalable processing solutions using tools such as Python, Apache Spark, Hadoop, and Kafka to support high-volume data operations.<br>• Partner with analytics, clinical, and business stakeholders to deliver reliable datasets that power descriptive, predictive, and prescriptive insights.<br>• Monitor pipeline performance, troubleshoot data issues, and improve the reliability and efficiency of end-to-end ETL processes.<br>• Support the full lifecycle of data initiatives, from source integration and transformation through delivery for reporting and analytical applications.