8 results for Data Engineer in Houston, TX

Data Engineer

Houston, TX
onsite
Temporary
76 - 88 USD / Hourly
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. Responsibilities: • Develop, maintain, and optimize scalable data pipelines using Apache Spark and Python. • Implement ETL processes to ensure seamless extraction, transformation, and loading of data across systems. • Collaborate with cross-functional teams to integrate Apache Hadoop and Apache Kafka into the data architecture. • Monitor and troubleshoot data systems to ensure reliability and performance. • Design and maintain data models, ensuring alignment with business requirements. • Conduct thorough testing and validation of data processes to guarantee accuracy. • Document data workflows and processes for future reference and team collaboration. • Provide technical guidance and support to team members on data engineering best practices. • Stay current on emerging technologies and trends in big data and analytics. • Contribute to improving data governance and security protocols.
2026-03-24T00:00:00Z

Data Engineer

Houston, TX
onsite
Contract / Temporary to Hire
79.1635 - 91.663 USD / Hourly
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. Responsibilities: • Design and implement scalable data architectures to support business needs and analytics requirements. • Develop and optimize ETL pipelines for data extraction, transformation, and loading across diverse data sources. • Collaborate with stakeholders to gather requirements and translate them into technical solutions. • Utilize tools such as Apache Spark, Hadoop, and Kafka to manage large-scale data processing and real-time streaming. • Ensure data quality and security by implementing best practices and conducting thorough testing. • Develop and maintain technical documentation related to system design, development processes, and operational workflows. • Work with Agile teams to deliver solutions efficiently while actively participating in sprints and ceremonies. • Troubleshoot and resolve issues in existing data systems to maintain optimal performance. • Provide guidance and conduct code reviews for entry level team members. • Stay updated on emerging technologies and recommend improvements to enhance data engineering practices.
2026-03-26T00:00:00Z

Data Engineer

Houston, TX
onsite
Permanent
150000 - 180000 USD / Yearly
Data Engineer,Data Engineer,,Data Engineer,Data Engineer,,,Data Engineer,Data En
2026-03-13T00:00:00Z

Data Engineer (AI/ML)- Oil & Gas Exp

Houston, TX
onsite
Contract / Temporary to Hire
57 - 66 USD / Hourly
We are looking for a skilled Data Engineer with expertise in AI/ML technologies and prior experience in the oil and gas industry to join our team in Houston, Texas. In this Contract to permanent position, you will play a key role in transforming data into actionable insights through advanced analytics and innovative solutions. This opportunity is ideal for professionals who thrive in data-driven environments and excel at leveraging tools like Power BI and PowerApps. Responsibilities: • Develop and manage Power BI dashboards and reports to deliver meaningful insights from raw data. • Utilize PowerApps to create and maintain applications that support business intelligence initiatives. • Collaborate with cross-functional teams to understand data requirements and implement solutions. • Analyze complex datasets to identify trends and patterns that inform decision-making. • Ensure the accuracy, reliability, and security of data within BI systems. • Optimize data pipelines and workflows for improved performance and scalability. • Provide technical expertise to support AI/ML integration into existing data processes. • Stay updated on emerging technologies and best practices in data engineering and AI/ML. • Troubleshoot and resolve issues related to data tools and processes. • Document processes, workflows, and methodologies for future reference.
2026-03-27T00:00:00Z

AWS/Databricks Engineer

Houston, TX
onsite
Temporary
0 - 0 USD / Yearly
We are looking for an experienced AWS/Databricks Engineer to join our team in Houston, Texas. This is a long-term contract position ideal for professionals with a strong background in data engineering and cloud technologies. The role will focus on leveraging Python and Databricks to optimize data processes and enhance system performance. Responsibilities: • Develop and implement scalable data engineering solutions using Python and Databricks. • Collaborate with cross-functional teams to design and optimize data workflows. • Migrate and enhance existing Python scripts to Databricks for improved functionality. • Utilize cloud technologies to support data integration and analytics processes. • Implement algorithms and data visualization methods to present actionable insights. • Design and maintain APIs to streamline data interactions and integrations. • Work with tools like Apache Kafka, Spark, and Hadoop to manage large-scale data systems. • Perform data analysis and develop strategies to improve system efficiency. • Ensure high-quality data pipelines and address performance bottlenecks. • Stay updated on emerging trends in data engineering and recommend innovative solutions.
2026-03-27T00:00:00Z

Artificial Intelligence (AI) Engineer

Houston, TX
onsite
Permanent
150000 - 180000 USD / Yearly
Artificial Intelligence (AI) Engineer,Computer Vision,TensorFlow,Machine Learning,Detection,Artificial Intelligence (A
2026-03-13T00:00:00Z

Business Analyst with Power BI

Spring, TX
onsite
Permanent
100000 - 125000 USD / Yearly
We are looking for a skilled Business Analyst with expertise in Power BI to join our team in Spring, Texas. The ideal candidate will have a strong background in analyzing business processes, collaborating with cross-functional teams, and delivering actionable insights to drive operational success. This role involves leveraging analytical tools and methodologies to identify and address business needs effectively. Responsibilities: • Conduct thorough business analysis to identify and address operational challenges and opportunities. • Collaborate with call center teams to enhance customer service processes and identify areas for improvement. • Review and evaluate documents to ensure accuracy and alignment with project goals. • Utilize Agile Scrum methodologies to manage project workflows and deliver results efficiently. • Perform gap analysis to identify discrepancies between current and desired business processes. • Develop and present Power BI dashboards and reports to communicate key findings and recommendations. • Work closely with stakeholders to gather requirements and ensure alignment with business objectives. • Support the implementation of solutions by coordinating with technical and non-technical teams. • Monitor project progress and provide regular updates to relevant stakeholders. • Analyze data to provide actionable insights that support decision-making and strategic planning.
2026-03-17T00:00:00Z

MLOps Engineer

Houston, TX
onsite
Temporary
58 - 62 USD / Hourly
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.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. Key Responsibilities:· Design and implement end-to-end ML pipelines for ingestion, feature engineering, training, validation, deployment, and monitoring.· Deploy and manage ML models in production across AWS, Azure, and Snowflake ecosystems.· Build batch and real-time inference pipelines using cloud-native and platform-native services.· Automate model packaging, testing, releases, and rollback using CI/CD best practices.· Integrate ML workflows with AWS SageMaker, AWS Lambda, Azure Machine Learning, Azure Data Factory, and Snowflake.· Build and maintain orchestration workflows using Airflow, Azure Data Factory, or similar tools.· Implement experiment tracking, model registries, and model governance processes.· Monitor model accuracy, drift, latency, throughput, pipeline performance, and infrastructure usage.· Establish advanced deployment strategies (canary, shadow, blue-green, rollback).· Collaborate with cross-functional teams to transition models from research to production.· Ensure security, compliance, traceability, and access control for ML systems and data.· Optimize platform reliability, performance, and cost across AWS, Azure, and Snowflake.
2026-03-25T00:00:00Z