Add your latest resume to match with open positions.

7 results for Data Engineer I in Houston, TX

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

Data Analyst

La Porte, TX
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Analyst to support fraud detection and investigative efforts through careful analysis of complex data sets in Texas. This Long-term Contract position is ideal for someone who can turn transactional and operational data into actionable insights that help reduce risk and strengthen anti-fraud controls. The role requires someone who can identify suspicious patterns, communicate findings clearly, and collaborate with stakeholders to improve decision-making. Responsibilities: • Examine large and varied data sets to uncover unusual activity, emerging fraud patterns, and potential control gaps. • Build reports, dashboards, and analytical summaries that help teams monitor risk trends and prioritize investigative work. • Partner with fraud prevention and investigation teams to interpret findings and support timely case development. • Review suspicious transactions and behavioral indicators to distinguish legitimate activity from potentially fraudulent events. • Translate analytical results into clear recommendations that support anti-fraud strategies and operational improvements. • Maintain accurate documentation of methodologies, findings, and reporting outputs to support auditability and consistency. • Contribute to the refinement of analytical processes, including updates to reporting logic, data validation, and performance tracking.
2026-07-27T00:00:00Z

Database Administrator

Houston, TX
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an experienced Database Administrator to support and optimize enterprise database environments in Houston, Texas. This Long-term Contract position is ideal for someone who is detail oriented and can maintain reliable database operations, improve system efficiency, and help ensure data availability across critical platforms. The role focuses on administration, performance enhancement, and ongoing support for SQL-based database systems in a fast-paced business setting. Responsibilities: • Administer and maintain database environments to ensure stability, security, and consistent system performance. • Monitor database health, identify bottlenecks, and implement tuning strategies to improve response times and overall efficiency. • Manage and support Microsoft SQL Server, Azure SQL Database, and MySQL platforms across development and production environments. • Perform backup, recovery, and disaster recovery activities to protect data integrity and minimize operational risk. • Troubleshoot database issues, resolve incidents promptly, and provide technical support for database-related concerns. • Collaborate with application, infrastructure, and support teams to coordinate database changes and optimize system functionality. • Execute routine maintenance tasks such as patching, indexing, and capacity planning to sustain database reliability. • Create and maintain clear technical documentation for database configurations, procedures, and support activities.
2026-07-23T00:00:00Z

Software Engineer

Spring, TX
onsite
Permanent / Full Time
60000 - 90000 USD / Yearly
Software Engineer,Software Engineer,,Software Engineer,Software Engineer,,,Softw
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

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