<p>We are seeking a talented and motivated Python Data Engineer to join our global team. In this role, you will be instrumental in expanding and optimizing our data assets to enhance analytical capabilities across the organization. You will collaborate closely with traders, analysts, researchers, and data scientists to gather requirements and deliver scalable data solutions that support critical business functions.</p><p><br></p><p>Responsibilities</p><ul><li>Develop modular and reusable Python components to connect external data sources with internal systems and databases.</li><li>Work directly with business stakeholders to translate analytical requirements into technical implementations.</li><li>Ensure the integrity and maintainability of the central Python codebase by adhering to existing design standards and best practices.</li><li>Maintain and improve the in-house Python ETL toolkit, contributing to the standardization and consolidation of data engineering workflows.</li><li>Partner with global team members to ensure efficient coordination and delivery.</li><li>Actively participate in internal Python development community and support ongoing business development initiatives with technical expertise.</li></ul>
<p>We are seeking a Data Governance & Data Quality Platform Engineer responsible for the technical administration, integration, and optimization of enterprise data governance and data quality tools such as Atlan and DQ Labs / Monte Carlo. This role ensures these platforms are scalable, secure, integrated across enterprise data ecosystems, and maintained for high availability and performance. The position also supports automation, data quality monitoring, and compliance reporting initiatives across the organization.</p><p><br></p><p>Key Responsibilities</p><p><br></p><p>1. Platform Engineering & Administration</p><ul><li>Configure and maintain Atlan for metadata management, lineage tracking, and governance workflows</li><li>Configure DQ Labs / data quality tools for data profiling, rule creation, and monitoring dashboards</li><li>Manage user roles, authentication, SSO, RBAC, and security settings across governance platforms</li></ul><p>2. Integration & Automation</p><ul><li>Develop and maintain integrations between data sources, databases, data lakes, and BI tools</li><li>Automate metadata ingestion and data quality checks using APIs, Python scripts, or ETL frameworks</li><li>Configure connectors for enterprise data and analytics platforms</li></ul><p>3. Performance, Scalability & Reliability</p><ul><li>Monitor system health and optimize performance across governance and data quality environments</li><li>Apply patches, updates, and troubleshoot technical issues as needed</li><li>Implement logging, alerting, and proactive monitoring across the platform ecosystem</li></ul><p>4. Technical Support & Issue Resolution</p><ul><li>Provide Tier 3 support for platform‑related issues</li><li>Debug integration failures and resolve configuration conflicts</li><li>Collaborate with vendors for advanced troubleshooting, feature requests, and roadmap alignment</li></ul><p>5. Security & Compliance</p><ul><li>Ensure platforms comply with security and data privacy standards (e.g., GDPR, CCPA)</li><li>Implement encryption, access controls, and audit logging</li><li>Support compliance reporting and risk assessments using platform governance features and data quality metrics</li></ul>
We are looking for an experienced Artificial Intelligence (AI) Engineer to join our dynamic team in Houston, Texas. This Contract to permanent position offers a unique opportunity to work on cutting-edge agentic software development, where autonomous AI agents play a critical role in building and optimizing healthcare technology solutions. The ideal candidate will be eager to contribute to innovative projects, leveraging AI techniques to transform traditional processes and drive automation within the healthcare lifecycle.<br><br>Responsibilities:<br>• Design and implement scalable data pipelines and integrations using AI-based techniques and tools such as Azure Data Factory and Event Hub.<br>• Work collaboratively with cross-functional teams to identify automation opportunities and develop intelligent workflows.<br>• Develop and deploy autonomous agents to interact with data systems, monitor processes, and generate actionable insights.<br>• Build and support data warehousing and analytics platforms utilizing Azure Synapse, Data Lake, and Power BI.<br>• Enhance data processing and decision-making capabilities by integrating machine learning models and AI techniques.<br>• Ensure all solutions adhere to security standards and compliance requirements while being optimized for deployment in Azure environments.<br>• Participate actively in Agile ceremonies and contribute to the continuous improvement of engineering practices.<br>• Explore innovative approaches to agentic software development, pushing the boundaries of automation and AI implementation.
<p>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced <strong>Machine Learning Engineer</strong> to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.</p><p>You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.</p><p>🔧 Core Responsibilities</p><ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on <strong>NLP</strong>, <strong>LLMs</strong>, and <strong>Generative AI</strong></li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul><p><br></p>
<p><strong>About the Role: </strong>We’re seeking an experienced <strong>Applications Architect</strong> to lead enterprise-level architecture and integration strategy across multiple business systems. This is a high-impact role where you’ll define technical roadmaps, establish standards, and deliver secure, scalable solutions on <strong>Microsoft Azure</strong>. You’ll collaborate with engineering, product, and data teams to design modern architectures that power ERP, manufacturing, field service, and customer-facing platforms. If you thrive on solving complex integration challenges and influencing technical direction, this role is for you.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Define and govern application architecture and technical standards.</li><li>Design unified integrations across ERP, manufacturing, and customer portals using APIs and event-driven patterns.</li><li>Architect cloud-native solutions leveraging Azure services (App Services, Functions, SQL/Cosmos DB, Service Bus, Event Grid, APIM).</li><li>Implement DevOps and Infrastructure as Code (Terraform/Bicep/ARM) for scalable deployments.</li><li>Embed security and compliance best practices (SOC 2, ISO 27001).</li><li>Mentor engineering teams and lead architecture/design/code reviews.</li></ul><p><br></p>
<p>Job Title: Data Scientist – AI/ML (Time‑Series Focus)</p><p>Location: Houston, TX</p><p>Work Arrangement: Onsite Monday–Thursday (mandatory)</p><p><br></p><p>Overview</p><p>We are seeking a Data Scientist with a strong AI/ML focus to support advanced analytics and predictive modeling initiatives. This role is ideal for a hands‑on data scientist who combines deep technical expertise in time‑series modeling with the ability to translate complex data insights into clear business value.</p><p>You will work with diverse datasets to design, train, and deploy scalable machine learning solutions, with opportunities to contribute to projects involving large language models (LLMs), deep learning, anomaly detection, and advanced analytics.</p><p><br></p><p>What You’ll Do</p><ul><li>Analyze structured and unstructured business data to uncover trends and insights</li><li>Design, develop, and deploy time‑series forecasting and anomaly detection models</li><li>Perform feature engineering to improve model performance and reliability</li><li>Build and optimize machine learning and deep learning models using Python</li><li>Collaborate with stakeholders to translate analytical findings into actionable business recommendations</li><li>Develop dashboards, visualizations, and presentations to clearly communicate results to non‑technical audiences</li><li>Contribute to AI initiatives involving LLMs, NLP, deep learning, or multi‑agent systems as opportunities arise</li></ul>
