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7 results for Data Engineer I in Houston, TX

Data Engineer

Spring, TX
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer to support scalable data solutions for a long-term contract opportunity in The Woodlands, Texas. This role focuses on designing and optimizing data pipelines, integrating large-scale data sources, and enabling reliable access to critical business information. The ideal candidate will bring strong hands-on experience with modern big data technologies and a practical approach to building efficient ETL workflows. Responsibilities: • Build, maintain, and enhance robust data pipelines to process large volumes of structured and unstructured information. • Develop ETL workflows that transform raw data into reliable datasets for analytics, reporting, and operational use. • Use Python and Apache Spark to engineer high-performance data processing solutions across distributed environments. • Work with Apache Hadoop ecosystems to manage storage and support scalable data operations. • Integrate streaming and event-driven data using Apache Kafka to improve data availability and timeliness. • Monitor data workflows, troubleshoot processing issues, and implement improvements that increase reliability and efficiency. • Collaborate with technical and business stakeholders to understand data needs and translate them into practical engineering solutions. • Document pipeline architecture, data flow logic, and operational procedures to support maintainability and team knowledge sharing.
2026-08-13T00:00:00Z

Data Engineer - Python

Houston, TX
onsite
Permanent / Full Time
110000 - 160000 USD / Yearly
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.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.Responsibilities<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> Preferred Qualifications<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>Technical EnvironmentPython, Oracle, PL/SQL, Pandas, NumPy, Selenium, BeautifulSoup, REST APIs, ETL, Data Pipelines, Real-Time Data Processing, Data Warehousing, Git, Agile, Cloud TechnologiesIdeal 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.
2026-07-14T00:00:00Z

Data Engineer - Lead

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. Responsibilities: • Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka. • Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake. • Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers. • Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs. • Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency. • Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams. • Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R. • Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments. • Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability. • Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
2026-07-14T00:00:00Z

Software Engineer

Spring, TX
onsite
Permanent / Full Time
60000 - 90000 USD / Yearly
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2026-07-23T00:00:00Z

Senior Machine Learning Engineer

Houston, TX
onsite
Permanent / Full Time
140000 - 175000 USD / Yearly
As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced Machine Learning Engineer 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.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.🔧 Core Responsibilities<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 NLP, LLMs, and Generative AI</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>
2026-07-14T00:00:00Z

Data and Governance Manager

Houston, TX
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
We are looking for a Data and Governance Manager to lead the administration, reliability, and oversight of core database and end-user technology environments in Houston, Texas. This position combines technical leadership with hands-on support across directory services, virtualization tools, desktop operations, and data platforms. The ideal candidate will strengthen system performance, guide governance practices, and ensure teams have dependable access to the technology they need to operate effectively. Responsibilities: • Oversee daily operations for database and infrastructure systems, ensuring stable performance, security, and availability across the environment. • Manage directory services and user access controls, maintaining appropriate permissions and supporting identity-related administration. • Support and optimize Citrix-based environments to provide reliable application and desktop access for internal users. • Lead desktop administration activities, including device setup, configuration standards, lifecycle coordination, and issue resolution. • Troubleshoot computer hardware and remote connectivity problems, delivering timely technical support to minimize business disruption. • Administer and monitor Snowflake and related data platforms, helping maintain data integrity, accessibility, and governance standards. • Develop and enforce technology governance practices, documenting procedures and promoting compliance with internal controls. • Partner with cross-functional stakeholders to identify system improvements, address operational risks, and align technical solutions with business needs.
2026-08-07T00:00:00Z

Artificial Intelligence (AI) Engineer- Fully Remote

Houston, TX
remote
Permanent / Full Time
70000 - 80000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to design and enhance intelligent solutions with a strong emphasis on computer vision and machine learning. This role focuses on building practical AI capabilities that support detection-driven applications while working collaboratively in a fully remote environment. The position is based in Houston, Texas, and is ideal for someone who combines technical depth with the ability to turn complex models into reliable business solutions. Responsibilities: • Design, develop, and refine AI models that support computer vision and detection-focused use cases. • Build and optimize machine learning pipelines for training, validation, deployment, and performance monitoring. • Apply TensorFlow to create scalable models that deliver accurate and efficient results in production environments. • Partner with cross-functional stakeholders to translate business objectives into effective AI-driven solutions. • Evaluate model behavior using appropriate metrics and improve outcomes through testing, tuning, and iteration. • Prepare, clean, and structure image and related datasets to improve model quality and consistency. • Contribute to the integration of AI capabilities with tools and workflows that may include Microsoft Copilot-enabled environments. • Document technical approaches, model assumptions, and implementation details to support maintainability and knowledge sharing.
2026-07-29T00:00:00Z