17 results for Data Engineer in The Woodlands, 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.
2026-03-19T00:00:00Z

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

Houston, TX
onsite
Temporary
0 - 0 USD / Yearly
We are seeking a skilled Azure Data Engineer to design, build, and maintain scalable data solutions on the Microsoft Azure platform. The ideal candidate will have strong experience developing data pipelines, optimizing data architectures, and supporting analytics and business intelligence initiatives. This role will work closely with data analysts, data scientists, and business stakeholders to ensure reliable, high-quality data is available for reporting and advanced analytics. Key Responsibilities<ul><li>Design, develop, and maintain scalable data pipelines and ETL/ELT processes using Azure data services.</li><li>Build and manage data solutions using tools such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure Databricks.</li><li>Develop and optimize data models, transformations, and storage strategies for large-scale structured and unstructured datasets.</li><li>Ensure data quality, integrity, and security across the data platform.</li><li>Monitor and troubleshoot data workflows, pipeline failures, and performance issues.</li><li>Collaborate with data analysts, BI developers, and data scientists to deliver reliable datasets for reporting and analytics.</li><li>Implement data governance and best practices for data management and documentation.</li><li>Automate data processes and deployments using CI/CD pipelines and infrastructure-as-code practices.</li><li>Optimize cost and performance of Azure data services.</li><li>Stay current with new Azure features, tools, and industry best practices.</li></ul>
2026-03-09T00:00:00Z

Data Engineer

Houston, TX
onsite
Temporary
0 - 0 USD / Yearly
Position OverviewWe are seeking a talented Data Engineer with strong experience in Python, AWS, and Databricks to design and build scalable data pipelines and modern data platforms. The ideal candidate will help develop and maintain data infrastructure that supports analytics, machine learning, and business intelligence initiatives. This role requires hands-on experience working with large datasets, cloud-native architectures, and distributed data processing frameworks. Key Responsibilities<ul><li>Design, build, and maintain scalable data pipelines and ETL/ELT workflows using Python and cloud technologies.</li><li>Develop and optimize data solutions using AWS services and Databricks.</li><li>Build and manage data lakes and data warehouses for structured and unstructured data.</li><li>Implement data transformation and processing pipelines using Apache Spark within Databricks.</li><li>Integrate data from multiple sources including APIs, databases, and streaming systems.</li><li>Ensure data quality, governance, security, and compliance across the data platform.</li><li>Monitor pipeline performance and troubleshoot data pipeline failures or latency issues.</li><li>Collaborate with data analysts, data scientists, and business stakeholders to deliver reliable datasets.</li><li>Optimize storage and compute costs within the AWS ecosystem.</li><li> </li></ul>
2026-03-09T00:00:00Z

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.
2026-03-18T00:00:00Z

Data Governance & Data Quality Platform Engineer

Houston, TX
onsite
Temporary
57 - 62 USD / Hourly
Position OverviewWe are seeking a Data Governance & Data Quality Platform Engineer to own the technical administration, integration, and optimization of enterprise data governance and data quality platforms (e.g., Atlan, Monte Carlo). This role ensures governance and quality tools are scalable, securely integrated into the enterprise data ecosystem, and maintained for high availability and performance.The ideal candidate brings strong platform engineering skills, experience automating data quality and metadata workflows, and a solid understanding of governance, compliance, and modern data architectures.Key Responsibilities 1. Platform Engineering & Administration<ul><li>Configure and maintain data governance platforms for metadata management, data lineage, and governance workflows</li><li>Configure data quality tools for profiling, rule creation, and monitoring dashboards</li><li>Manage platform security, including user roles, authentication, SSO, RBAC, and access controls</li></ul>e2. Integration & Automation<ul><li>Develop and maintain integrations across data sources, databases, data lakes, and BI tools</li><li>Automate metadata ingestion and data quality checks using APIs, Python scripts, or ETL frameworks</li><li>Configure and maintain connectors for analytics and reporting platforms</li></ul> 3. Performance, Reliability & Monitoring<ul><li>Monitor platform health and optimize performance and scalability</li><li>Apply upgrades, patches, and troubleshoot technical issues</li><li>Implement logging, alerting, and proactive monitoring for governance and data quality environments</li></ul>a4. Technical Support & Issue Resolution<ul><li>Provide Tier 3 support for platform‑related incidents and escalations</li><li>Debug integration failures and resolve configuration conflicts</li><li>Collaborate with vendors for advanced troubleshooting and roadmap alignment</li></ul>r5. Security, Compliance & Risk Management<ul><li>Ensure platforms comply with data privacy and security standards (e.g., GDPR, CCPA)</li><li>Implement encryption, audit logging, and access controls</li><li>Support compliance reporting and risk assessments using governance and data quality metrics</li></ul>
2026-02-27T00:00:00Z

Database Administrator

Houston, TX
onsite
Temporary
55 - 65 USD / Hourly
Overview We are seeking a Database Administrator (DBA) to manage, maintain, and optimize our SQL Server database environments. This role will be responsible for ensuring the performance, reliability, and security of enterprise databases while supporting development, reporting, and operational systems. The ideal candidate has strong experience with SQL Server administration, performance tuning, and database maintenance, and is comfortable working with cross-functional teams to support data-driven applications. Key Responsibilities<ul><li>Administer, monitor, and maintain SQL Server database environments to ensure performance, availability, and reliability.</li><li>Manage database installations, configurations, upgrades, and patching.</li><li>Perform database performance tuning and query optimization.</li><li>Implement and maintain backup, recovery, and disaster recovery strategies.</li><li>Monitor database health, storage capacity, and system performance.</li><li>Support database security, including user access, permissions, and data protection.</li><li>Work with development and analytics teams to support database design and data access needs.</li><li>Troubleshoot and resolve database-related issues in a timely manner.</li><li>Assist with database migrations, upgrades, and system integrations.</li><li>Maintain documentation for database architecture, standards, and operational procedures.</li></ul>
2026-03-09T00:00:00Z

Business Intelligence Engineer

Houston, TX
onsite
Temporary
40 - 50 USD / Hourly
Overview We are seeking a Power BI Developer to serve as the technical owner of the organization’s Power BI and analytics environment. This role focuses on platform ownership, data modeling, governance, and maintaining a stable analytics ecosystem rather than primarily building reports. The ideal candidate is a hands-on technical leader with strong experience in Power BI, SQL, and ETL processes, who can support the analytics platform while collaborating with data engineers, business stakeholders, and cross-functional teams. Key Responsibilities<ul><li>Serve as the technical lead and primary owner of the Power BI analytics environment.</li><li>Act as the first point of contact for platform issues and ensure ongoing system stability and performance.</li><li>Manage and maintain security, access controls, and governance across Power BI workspaces and datasets.</li><li>Monitor and support development and production analytics environments.</li><li>Partner with data engineering and IT teams to understand upstream data pipelines and ensure data is structured for reporting and analytics.</li><li>Design, build, and maintain semantic and data models within Power BI.</li><li>Develop and optimize complex SQL queries and ETL processes to support analytics and reporting needs.</li><li>Build scalable Power BI data models using star schema and dimensional modeling best practices.</li><li>Ensure consistent documentation, deployment standards, and version control across analytics assets.</li><li>Communicate effectively with business users and stakeholders to support reporting and data needs.</li></ul>
2026-03-09T00:00:00Z

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.
2026-03-18T00:00:00Z

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

Houston, TX
onsite
Permanent
100000 - 115000 USD / Yearly
We are looking for an experienced Business Analyst to join our team in Houston, Texas. This role involves analyzing business processes, identifying improvement opportunities, and collaborating with cross-functional teams to deliver effective solutions. The ideal candidate will bring a strong analytical mindset, excellent communication skills, and a proven ability to thrive in dynamic environments. Responsibilities: • Conduct in-depth analysis of business processes to identify areas for improvement and optimization. • Collaborate with stakeholders to gather requirements and translate them into actionable plans. • Facilitate discussions with teams to ensure alignment with project goals and objectives. • Review and analyze documentation to ensure accuracy and completeness. • Provide support for call center operations by evaluating customer service processes and recommending enhancements. • Apply Agile and Scrum methodologies to manage projects and ensure timely deliverables. • Perform gap analysis to identify discrepancies between current and desired states, proposing solutions to bridge those gaps. • Prepare detailed reports and presentations to communicate findings and recommendations. • Work closely with technical teams to implement solutions that address identified needs and challenges. • Maintain a proactive approach to problem-solving, ensuring business goals are met efficiently.
2026-02-25T00:00:00Z

Business Analyst

Houston, TX
onsite
Temporary
0 - 0 USD / Yearly
Position OverviewWe are seeking a detail-oriented Business Systems Analyst (BSA) to bridge the gap between business needs and technology solutions. The Business Systems Analyst will work closely with business stakeholders, product teams, and IT departments to analyze requirements, improve processes, and support the implementation and optimization of enterprise systems. The ideal candidate combines strong analytical skills with a deep understanding of business processes and system capabilities. Key Responsibilities<ul><li>Gather, analyze, and document business and technical requirements from stakeholders.</li><li>Translate business needs into functional specifications and system requirements.</li><li>Evaluate existing systems and processes to identify improvement opportunities and efficiencies.</li><li>Collaborate with developers, QA teams, and product owners to ensure requirements are properly implemented.</li><li>Support system implementation, upgrades, and integrations.</li><li>Create process flows, use cases, and documentation to support system functionality and user training.</li><li>Participate in testing activities, including system testing and user acceptance testing (UAT).</li><li>Troubleshoot system issues and work with technical teams to resolve them.</li><li>Assist with data analysis, reporting, and business intelligence initiatives.</li><li>Maintain documentation for system configurations, workflows, and business processes.</li></ul>
2026-03-09T00:00:00Z

Business Analyst

Houston, TX
onsite
Temporary
0 - 0 USD / Yearly
Robert Half is looking for a business analyst who is deeply passionate about understanding and translating customer needs into actionable development plans. To be successful in this role, you should be a self-starter who combines a strong technical understanding with excellent communication and social skills. What you get to do every single day · Analyze and review business, technical, and functional requirements · Work in close partnership with development team to invent and analyze product requirements to meet business goals · Craft comprehensive user stories and profiles · Develop creative and highly usable solutions for new product requirements · Collaborate with designers on wire-frames, interactions and user flows · Work with development and QA teams to test and implement new corrections and improvements · Assist with the development of customer-focused documentation for software solutions
2026-03-09T00:00:00Z

Principal Scientist, Data

Houston, TX
onsite
Temporary
55 - 60 USD / Hourly
Principal Data Scientist (AI/ML Focus)Service Type: 42 Week Contract Worksite: Onsite, Monday–Thursday — Houston, TXPay: Available on W2 Position OverviewWe are seeking a Principal Scientist, Data with deep expertise in AI, Machine Learning, Natural Language Processing (NLP), Computer Vision (CV), and Generative AI. This role requires a strong technical foundation, excellent communication skills, and the ability to translate complex methodologies into meaningful business outcomes.The ideal candidate is proactive, innovative, and passionate about developing advanced AI-driven solutions using modern architectures including LLMs, deep learning models, multi-agent systems, and generative AI techniques.Requirements<ul><li>Strong background in NLP, Computer Vision, and Generative AI.</li><li>Broad background in Artificial Intelligence.</li><li>Excellent verbal and written communication skills.</li></ul> Key Responsibilities<ul><li>Develop, train, and optimize machine learning and deep learning models.</li><li>Build advanced AI solutions using LLMs, multi-agent systems, fine-tuning techniques, and inference optimization.</li><li>Transform complex data science methodologies into actionable insights.</li><li>Collaborate closely with stakeholders to develop high-value, data-driven solutions.</li><li>Create clear, compelling presentations, dashboards, and deliverables for non-technical audiences.</li><li>Drive full lifecycle AI/ML projects from ideation through deployment.</li></ul>
2026-03-24T00:00:00Z

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