We are looking for an experienced Data Engineer to join our team on a long-term contract basis. Based in Houston, Texas, this role offers an exciting opportunity to work with cutting-edge data technologies, design scalable solutions, and contribute to data-driven decision-making processes. If you are passionate about optimizing data systems and driving innovation, we encourage you to apply.<br><br>Responsibilities:<br>• Develop, maintain, and optimize scalable data pipelines using Apache Spark and Python.<br>• Implement ETL processes to ensure seamless extraction, transformation, and loading of data across systems.<br>• Collaborate with cross-functional teams to integrate Apache Hadoop and Apache Kafka into the data architecture.<br>• Monitor and troubleshoot data systems to ensure reliability and performance.<br>• Design and maintain data models, ensuring alignment with business requirements.<br>• Conduct thorough testing and validation of data processes to guarantee accuracy.<br>• Document data workflows and processes for future reference and team collaboration.<br>• Provide technical guidance and support to team members on data engineering best practices.<br>• Stay current on emerging technologies and trends in big data and analytics.<br>• Contribute to improving data governance and security protocols.
We are looking for a skilled Data Engineer to join our team in Houston, Texas. This Contract to permanent position offers an exciting opportunity to work at the intersection of data engineering, analytics, and business strategy. If you have a strong background in building and optimizing data pipelines and are passionate about leveraging technology to drive insights, we encourage you to apply.<br><br>Responsibilities:<br>• Design, develop, and optimize scalable data pipelines and workflows to support business analytics.<br>• Collaborate with cross-functional teams to gather and analyze data requirements.<br>• Implement ETL processes to extract, transform, and load data from diverse sources.<br>• Utilize tools such as Apache Spark and Hadoop to manage large-scale data processing.<br>• Integrate streaming data systems using Apache Kafka to enhance real-time analytics.<br>• Monitor and troubleshoot data flow and systems to ensure high performance and reliability.<br>• Develop and maintain documentation for data engineering processes and systems.<br>• Ensure data security and integrity across all platforms and processes.<br>• Work closely with stakeholders to translate business needs into technical solutions.<br>• Stay updated with industry trends and emerging technologies to improve data engineering practices.
We are looking for a skilled Data Engineer to join our team in Houston, Texas. In this Contract to permanent position, you will play a key role in designing, developing, and optimizing data solutions while collaborating with cross-functional teams to deliver impactful results. This role offers an excellent opportunity to contribute to innovative projects and mentor other developers.<br><br>Responsibilities:<br>• Design and implement scalable data solutions using tools such as Apache Spark, Hadoop, and Kafka.<br>• Build and maintain efficient ETL processes to ensure seamless data transformation and integration.<br>• Collaborate with product owners, business analysts, and stakeholders to gather requirements and translate them into technical solutions.<br>• Optimize and troubleshoot complex data workflows to enhance performance and reliability.<br>• Lead technical discussions and provide architectural guidance for best practices and development standards.<br>• Mentor entry level developers and conduct code reviews to ensure high-quality deliverables.<br>• Integrate data solutions with existing systems and third-party tools using APIs and cloud platforms.<br>• Stay updated with the latest data engineering technologies and proactively recommend improvements.<br>• Work within Agile/Scrum teams to deliver solutions aligned with user stories and project goals.<br>• Ensure compliance with security and quality standards through thorough documentation and testing.
We are looking for a highly skilled Data Engineer to join our team in Houston, Texas. This Contract to permanent position offers an exciting opportunity to work on cutting-edge data solutions and collaborate with cross-functional teams to deliver impactful results. The ideal candidate will possess strong technical expertise and a passion for creating efficient and scalable data systems.<br><br>Responsibilities:<br>• Design and implement scalable data architectures to support business needs and analytics requirements.<br>• Develop and optimize ETL pipelines for data extraction, transformation, and loading across diverse data sources.<br>• Collaborate with stakeholders to gather requirements and translate them into technical solutions.<br>• Utilize tools such as Apache Spark, Hadoop, and Kafka to manage large-scale data processing and real-time streaming.<br>• Ensure data quality and security by implementing best practices and conducting thorough testing.<br>• Develop and maintain technical documentation related to system design, development processes, and operational workflows.<br>• Work with Agile teams to deliver solutions efficiently while actively participating in sprints and ceremonies.<br>• Troubleshoot and resolve issues in existing data systems to maintain optimal performance.<br>• Provide guidance and conduct code reviews for entry level team members.<br>• Stay updated on emerging technologies and recommend improvements to enhance data engineering practices.
We are looking for a skilled Data Engineer to join our team in Houston, Texas. This contract position offers an exciting opportunity to leverage your expertise in data processing and analytics within the dynamic energy and natural resources industry. 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 Apache Spark, Python, and ETL processes.<br>• Design and implement data storage solutions utilizing Apache Hadoop for efficient data management.<br>• Build real-time data streaming architectures with Apache Kafka to support operational needs.<br>• Optimize data workflows to ensure high performance and reliability across systems.<br>• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.<br>• Perform data quality checks and validation to ensure accuracy and consistency of datasets.<br>• Troubleshoot and resolve technical issues related to data processing and integration.<br>• Document processes and workflows to ensure knowledge sharing and operational transparency.<br>• Monitor and improve system performance, ensuring the infrastructure meets business demands.
<p>We are seeking an experienced MLOps Engineer to design, deploy, monitor, and maintain machine learning solutions in production across AWS, Microsoft Azure, and Snowflake environments. This role will collaborate closely with data scientists, platform engineers, and cloud teams to operationalize ML models, automate pipelines, and build reliable, secure, and scalable ML/data platforms.</p><p>The ideal candidate brings strong hands-on expertise across the end-to-end ML lifecycle, cloud-native deployment, CI/CD automation, model monitoring, and production-grade data pipelines.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Design and implement end-to-end ML pipelines for ingestion, feature engineering, training, validation, deployment, and monitoring.</p><p>· Deploy and manage ML models in production across AWS, Azure, and Snowflake ecosystems.</p><p>· Build batch and real-time inference pipelines using cloud-native and platform-native services.</p><p>· Automate model packaging, testing, releases, and rollback using CI/CD best practices.</p><p>· Integrate ML workflows with AWS SageMaker, AWS Lambda, Azure Machine Learning, Azure Data Factory, and Snowflake.</p><p>· Build and maintain orchestration workflows using Airflow, Azure Data Factory, or similar tools.</p><p>· Implement experiment tracking, model registries, and model governance processes.</p><p>· Monitor model accuracy, drift, latency, throughput, pipeline performance, and infrastructure usage.</p><p>· Establish advanced deployment strategies (canary, shadow, blue-green, rollback).</p><p>· Collaborate with cross-functional teams to transition models from research to production.</p><p>· Ensure security, compliance, traceability, and access control for ML systems and data.</p><p>· Optimize platform reliability, performance, and cost across AWS, Azure, and Snowflake.</p>
<p>We are seeking a <strong>Full Stack .NET Developer</strong> to join a collaborative development team focused on building and enhancing modern web applications. This role is ideal for someone who enjoys working across the full technology stack, values clean architecture, and thrives in a team‑oriented environment.</p><p>Responsibilities</p><ul><li>Design, develop, and maintain full‑stack web applications using <strong>ASP.NET Core and C#</strong></li><li>Build modern front‑end experiences using <strong>Blazor and WebAssembly</strong></li><li>Develop and consume <strong>RESTful Web APIs</strong>, including <strong>OData services</strong></li><li>Implement data access layers using <strong>Entity Framework Core</strong> with <strong>SQL Server</strong> following a <strong>code‑first approach</strong></li><li>Apply <strong>CLEAN Architecture and CQRS</strong> principles to produce scalable, maintainable solutions</li><li>Utilize <strong>Telerik UI components</strong> for .NET Core and Blazor applications</li><li>Collaborate closely with cross‑functional teams to analyze requirements and deliver high‑quality software</li><li>Write clean, well‑structured, and maintainable code following object‑oriented design principles</li><li>Participate in code reviews, testing, and continuous improvement initiatives</li></ul><p><br></p>