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4 results for Database Developer in Houston, TX
- Houston, TX
- onsite
- Permanent / Full Time
- 110000 - 160000 USD / Yearly
- <p>We are seeking an experienced Python Data Engineer to join our growing data team. This role will focus on building and supporting scalable data solutions that ingest, process, and deliver real-time and near real-time data across the organization. The ideal candidate will have experience working in financial services, energy, or oil & gas environments, where timely, accurate data is critical to business operations and decision-making.</p><p>You will partner closely with business leaders, analysts, data scientists, and application teams to develop robust data pipelines, integrate external and internal data sources, and enhance enterprise data capabilities.</p><p>Responsibilities</p><ul><li>Design, develop, and maintain scalable Python-based ETL and data integration solutions.</li><li>Build reusable data acquisition components to consume APIs, market feeds, operational systems, IoT devices, and third-party data sources.</li><li>Develop and support real-time and near real-time data pipelines for business-critical reporting and analytics.</li><li>Collaborate with stakeholders to gather requirements and translate business needs into technical solutions.</li><li>Enhance and maintain enterprise data engineering frameworks and standards.</li><li>Ensure data quality, reliability, performance, and governance across the data ecosystem.</li><li>Support Oracle databases, PL/SQL development, and data warehouse integrations.</li><li>Partner with global teams to deliver high-quality data solutions and support ongoing business initiatives.</li><li>Participate in architecture discussions and contribute to best practices around data engineering and software development.</li></ul><p><br></p><p>Preferred Qualifications</p><ul><li>Experience in financial services, banking, asset management, energy, commodities, or oil & gas industries.</li><li>Experience supporting operational, market, production, pricing, risk, or financial data platforms.</li><li>Knowledge of cloud-based data platforms and modern data architecture.</li><li>Experience with data warehousing, data lakes, and enterprise reporting solutions.</li></ul><p>Technical Environment</p><p>Python, Oracle, PL/SQL, Pandas, NumPy, Selenium, BeautifulSoup, REST APIs, ETL, Data Pipelines, Real-Time Data Processing, Data Warehousing, Git, Agile, Cloud Technologies</p><p>Ideal Candidate: A hands-on Data Engineer with strong Python development skills, experience working with real-time business data, and a background supporting data platforms in financial services, energy, or oil & gas organizations.</p><p><br></p>
- 2026-07-14T00:00:00Z
- Houston, TX
- onsite
- Permanent / Full Time
- 175000 - 225000 USD / Yearly
- We are looking for an experienced Lead Data Engineer to oversee the design, implementation, and management of advanced data infrastructure in Houston, Texas. This role requires expertise in architecting scalable solutions, optimizing data pipelines, and ensuring data quality to support analytics, machine learning, and real-time processing. The ideal candidate will have a deep understanding of Lakehouse architecture and Medallion design principles to deliver robust and governed data solutions.<br><br>Responsibilities:<br>• Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka.<br>• Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake.<br>• Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers.<br>• Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs.<br>• Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency.<br>• Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams.<br>• Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R.<br>• Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments.<br>• Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability.<br>• Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
- 2026-07-14T00:00:00Z
- Houston, TX
- onsite
- Permanent / Full Time
- 140000 - 160000 USD / Yearly
- <p>As the Software Engineer, you will be responsible for designing and developing automated solutions and system integrations to optimize our business operations. You will be a key player in gathering requirements from non-technical stakeholders, translating them into technical specifications, and ensuring that the delivered solutions meet their needs. You will be responsible for fostering and maintaining strong relationships with stakeholders, ensuring they have confidence in the technology solutions that support their business processes. Your advanced skills in solution design, AWS, and programming languages will be critical to delivering scalable, reliable, and impactful solutions. </p><p><br></p><p><br></p><p>Automation Development: Design, develop, and oversee the maintenance of automation scripts and tools to streamline and optimize business processes.</p><p>Cloud Integration: Architect and manage integrations between various systems and AWS services, ensuring seamless data flow and system interoperability.</p><p>Solution Design: Architect scalable and reliable integration solutions that align with business requirements and technical constraints.</p><p>Testing & Validation: Oversee and participate in the testing of automation and integration solutions to ensure functionality, reliability, and security.</p><p>Documentation: Maintain detailed documentation of automation processes, integration workflows, and system configurations.</p><p>Continuous Improvement: Lead efforts to identify opportunities for process improvements, proposing and implementing innovative automation solutions across the organization.</p><p>Support & Troubleshooting: Provide high-level support for existing automation and integration solutions, troubleshooting issues, and implementing fixes as necessary.</p><p><br></p><p><br></p><p><br></p>
- 2026-07-14T00:00:00Z
- Houston, TX
- onsite
- Permanent / Full Time
- 120000 - 150000 USD / Yearly
- <p>Join a growing technology team focused on building modern analytics and business applications powered by real-time and historical operational, financial, and enterprise data. This role offers the opportunity to work directly with business stakeholders, analysts, operations teams, and leadership to develop scalable solutions that support critical business decisions.</p><p>Responsibilities</p><ul><li>Design, develop, and support scalable enterprise applications.</li><li>Build analytics, reporting, and data-driven platforms.</li><li>Partner with business users to gather requirements and deliver innovative solutions.</li><li>Develop and maintain APIs, integrations, and internal applications.</li><li>Turn user feedback into enhancements and bug fixes.</li><li>Write clean, maintainable, and well-tested code.</li><li>Support and train users on internally developed systems.</li></ul><p><br></p><p><br></p><p><br></p><p><br></p>
- 2026-07-14T00:00:00Z