We are looking for a skilled Data Engineer to join our team on a long-term contract basis in Houston, Texas. In this role, you will design, develop, and maintain data pipelines and systems that support critical business operations within the manufacturing industry. Your expertise in data engineering technologies and frameworks will be key to ensuring efficient data processing and integration.<br><br>Responsibilities:<br>• Develop, optimize, and maintain scalable data pipelines to process large datasets efficiently.<br>• Implement ETL processes to extract, transform, and load data from various sources into centralized systems.<br>• Leverage Apache Spark, Hadoop, and Kafka to design solutions for real-time and batch data processing.<br>• Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.<br>• Monitor and troubleshoot data systems to ensure reliability and performance.<br>• Document data workflows and processes to ensure clarity and maintainability.<br>• Conduct testing and validation of data systems to ensure accuracy and quality.<br>• Apply Python programming to automate data tasks and streamline workflows.<br>• Stay updated on industry trends and emerging technologies to propose innovative solutions.<br>• Ensure compliance with data security and privacy standards in all engineering efforts.
We are looking for a skilled Data Engineer to join our team in Houston, Texas. This long-term contract position offers an exciting opportunity to work in the manufacturing industry, leveraging your expertise in data processing and engineering. You will play a pivotal role in designing, implementing, and optimizing data solutions to support critical business operations.<br><br>Responsibilities:<br>• Develop and maintain scalable data pipelines using tools such as Apache Spark and Python.<br>• Design efficient ETL processes to extract, transform, and load data from various sources.<br>• Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.<br>• Implement and manage big data solutions using Apache Hadoop and Apache Kafka.<br>• Monitor and optimize the performance of data systems to ensure reliability and scalability.<br>• Ensure data quality and integrity through rigorous testing and validation processes.<br>• Troubleshoot and resolve issues related to data pipelines and infrastructure.<br>• Maintain documentation for data workflows and processes to ensure clarity and consistency.<br>• Stay updated on emerging technologies and best practices in data engineering to continuously improve systems.
<p>Data Analyst – Enterprise Data & Metadata</p><p>Location: Houston, TX 77002</p><p>Work Arrangement: Onsite</p><p>Schedule: 1st Shift, 9:00 AM – 5:00 PM</p><p><br></p><p>Position Overview</p><p><br></p><p>We are seeking a Data Analyst to support enterprise data initiatives with a strong focus on data understanding, data mapping, and metadata management. This role partners closely with business stakeholders, data engineers, and architects to document data flows, define source‑to‑target mappings, and curate high‑quality metadata using Atlan with Snowflake as the core data platform.</p><p>The ideal candidate is detail‑oriented, analytically strong, and excels at translating complex data structures into clear, trusted documentation. Success in this role directly improves data transparency, governance readiness, and self‑service analytics across the organization.</p><p><br></p><p>Key Responsibilities</p><p>Data Mapping & Documentation</p><ul><li>Create and maintain source‑to‑target mappings, data flow diagrams, and transformation logic for Snowflake data assets.</li><li>Analyze source systems and Snowflake tables to document lineage, relationships, and dependencies.</li><li>Partner with data engineers and architects to validate mappings and align with Snowflake data models.</li></ul><p>Metadata Management & Atlan</p><ul><li>Publish and maintain data assets, schemas, tables, columns, and glossary terms in Atlan.</li><li>Document business definitions, ownership, freshness, and usage guidance.</li><li>Curate trusted data catalogs to support governance and self‑service discovery.</li><li>Ensure metadata accuracy, completeness, and consistency across platforms.</li></ul><p>Data Analysis & Validation</p><ul><li>Use Snowflake SQL to analyze datasets for completeness, structure, and quality.</li><li>Validate data transformations and downstream usage against documented mappings.</li><li>Support impact analysis by identifying affected assets using lineage and metadata.</li></ul><p>Collaboration & Enablement</p><ul><li>Act as a bridge between business, engineering, and governance teams.</li><li>Support governance, observability, and audit readiness through strong documentation.</li><li>Contribute to standards and best practices for enterprise data documentation.</li></ul>
<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 looking for a detail-oriented Payroll Administrator to join our team in Houston, Texas. In this role, you will manage multi-state payroll processes, ensuring accuracy and compliance with company policies and regulations. This position offers an excellent opportunity to work in a fast-paced environment while handling high-volume payroll tasks.</p><p><br></p><p>Responsibilities:</p><p>• Process multi-state payrolls across various pay cycles with precision and efficiency.</p><p>• Handle high-volume payroll transactions, ensuring timely and accurate completion.</p><p>• Reconcile payroll discrepancies and promptly resolve any identified issues.</p><p>• Manage the calculation and processing of bonuses, commissions, and other special payments.</p><p>• Ensure compliance with federal, state, and local payroll regulations.</p><p>• Maintain and update employee payroll records in ADP Workforce Now.</p><p>• Collaborate with HR and finance teams to address payroll-related inquiries and concerns.</p><p>• Generate and review payroll reports to identify trends and ensure data accuracy.</p><p>• Stay updated on payroll laws and best practices to ensure organizational compliance.</p><p>Hybrid position - 4 days in office and 1 from home</p>
We are looking for a highly skilled Systems Administrator to oversee and enhance critical project cost systems for large-scale export initiatives. This position involves close collaboration with the Project Controls team to ensure optimal configuration, administration, and performance of EcoSys and associated applications. The ideal candidate will play a key role in maintaining system integrity, supporting end-users, and driving efficient project cost management.<br><br>Responsibilities:<br>• Configure and administer EcoSys modules, workflows, and settings within production and non-production environments.<br>• Manage user provisioning and permissions based on least-privilege principles, ensuring secure access aligned with contracts and funding structures.<br>• Convert business requirements into effective technical solutions and functional system enhancements.<br>• Monitor system performance, troubleshoot issues, and collaborate with vendors to resolve technical challenges.<br>• Implement system upgrades while adhering to established IT change management protocols.<br>• Develop and maintain custom reports, dashboards, and data visualizations to support business operations.<br>• Integrate EcoSys with other organizational platforms, maintaining smooth data flow and functionality.<br>• Support customized configurations within EcoSys to meet specific contract module requirements.<br>• Conduct advanced data analysis to assist project cost control teams and optimize system usage.<br>• Manage and update master data, including organizational structures, contract lines, and security groups.