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3 results for Cloud Computing Analyst in Houston, TX

Cloud Engineer

Houston, TX
onsite
Temporary / Contract
65 - 75 USD / Hourly
Key Responsibilities:<ul><li>Design and implement scalable cloud storage solutions in AWS, with a strong focus on S3 bucket architecture, optimization, and governance</li><li>Support and help lead a small solutions team (Cloud Engineering & Storage) while contributing hands-on to technical delivery</li><li>Partner with business units and project managers to gather storage and infrastructure requirements, translating them into scalable cloud solutions</li><li>Evaluate current data center and cloud environments, recommending improvements, migrations, and modernization strategies</li><li>Manage and optimize cloud storage platforms (including file/object storage systems such as FFX or similar technologies)</li><li>Provide support for production environments, ensuring reliability, performance, and cost efficiency across storage platforms</li><li>Communicate effectively with both technical and non-technical stakeholders, including limited end-user interaction and support</li></ul>
2026-05-08T00:00:00Z

Land Analyst

Houston, TX
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
We are in search of a Land Analyst to join our team situated in Houston, Texas. In this role, you will be tasked with the critical responsibility of managing customer applications and maintaining accurate customer records. This position is crucial in the monitoring of customer accounts and taking the necessary actions. This opportunity is a perfect fit for individuals who thrive in a dynamic, fast-paced team environment. Responsibilities: • Undertaking the processing of customer credit applications with accuracy and efficiency. • Maintaining accurate customer credit records. • Communicating effectively with operators on issues related to interest calculations, title support requests, curative, suspense, direct deposit, and billing and revenue. • Reviewing assignments, leases, contracts, and title opinions to determine and verify company interest. • Ensuring correct wells, leases, and contracts are assigned during the review of draft assignments. • Managing the workover AFE function, which includes the verification of ownership and interest, internal routing, tracker maintenance, and timely communication of elections to operators. • Creating well, leases, and contract exhibits for documents to be filed of record. • Setting up and maintaining JIB and revenue decks representing company interests in Bolo. • Handling the setup and maintenance of operator and vendor records in Bolo. • Assisting with acquisition, divestiture, due diligence, audits, and other special projects as needed. • Providing necessary documentation and explanations related to land administration during external audits.
2026-05-08T00:00:00Z

Data Engineer

Houston, TX
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer to support the design, development, and optimization of modern data solutions in Houston, Texas. This Long-term Contract position is ideal for someone who enjoys building reliable pipelines, working with large-scale datasets, and improving the flow of information across systems. The role offers the opportunity to contribute technical expertise in a collaborative environment focused on performance, scalability, and data quality. Responsibilities: • Build and maintain scalable data pipelines that collect, transform, and deliver data for analytics and operational use. • Develop ETL processes that improve the accuracy, consistency, and availability of data across multiple sources. • Use Python and Apache Spark to process large datasets efficiently and support advanced data engineering workflows. • Work with Hadoop-based environments to manage distributed data processing and storage activities. • Integrate streaming and messaging solutions using Apache Kafka to support timely data movement and event-driven processing. • Monitor pipeline performance, troubleshoot failures, and implement enhancements that strengthen reliability and efficiency. • Partner with technical and business stakeholders to understand data needs and translate them into practical engineering solutions.
2026-05-08T00:00:00Z