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12 results for Data Scientist in Houston, TX

Data Engineer
  • Houston, TX
  • onsite
  • Temporary / Contract
  • 66.5 - 77 USD / Hourly
  • We are looking for a skilled Data Engineer to join our team on a long-term contract basis in Houston, Texas. In this role, you will design, build, and manage data pipelines and systems to support business operations and decision-making processes. This position offers an exciting opportunity to work with cutting-edge technologies within the energy and natural resources sector.<br><br>Responsibilities:<br>• Develop and maintain scalable data pipelines to efficiently process large volumes of data.<br>• Collaborate with cross-functional teams to gather requirements and design data solutions that meet business needs.<br>• Implement and optimize ETL processes to ensure the accuracy and reliability of data flows.<br>• Utilize technologies such as Apache Spark, Hadoop, and Kafka to manage and process data streams.<br>• Monitor and troubleshoot data systems to ensure optimal performance and reliability.<br>• Perform data integration from multiple sources to create unified datasets for analysis.<br>• Ensure data security and compliance with organizational and industry standards.<br>• Continuously evaluate and adopt new tools and technologies to enhance data engineering practices.<br>• Provide technical guidance and mentorship to entry-level team members as needed.
  • 2026-04-28T00:00:00Z
Data Analyst
  • Houston, TX
  • onsite
  • Temporary / Contract
  • 48 - 53 USD / Hourly
  • <p>Data Analyst – Enterprise Data &amp; Metadata</p><p>Location: Houston, TX 77002</p><p>Work Arrangement: Onsite</p><p>Schedule: 1st Shift, 9:00 AM – 5:00 PM</p><p><br></p><p>Position Overview</p><p><br></p><p>We are seeking a Data Analyst to support enterprise data initiatives with a strong focus on data understanding, data mapping, and metadata management. This role partners closely with business stakeholders, data engineers, and architects to document data flows, define source‑to‑target mappings, and curate high‑quality metadata using Atlan with Snowflake as the core data platform.</p><p>The ideal candidate is detail‑oriented, analytically strong, and excels at translating complex data structures into clear, trusted documentation. Success in this role directly improves data transparency, governance readiness, and self‑service analytics across the organization.</p><p><br></p><p>Key Responsibilities</p><p>Data Mapping &amp; Documentation</p><ul><li>Create and maintain source‑to‑target mappings, data flow diagrams, and transformation logic for Snowflake data assets.</li><li>Analyze source systems and Snowflake tables to document lineage, relationships, and dependencies.</li><li>Partner with data engineers and architects to validate mappings and align with Snowflake data models.</li></ul><p>Metadata Management &amp; Atlan</p><ul><li>Publish and maintain data assets, schemas, tables, columns, and glossary terms in Atlan.</li><li>Document business definitions, ownership, freshness, and usage guidance.</li><li>Curate trusted data catalogs to support governance and self‑service discovery.</li><li>Ensure metadata accuracy, completeness, and consistency across platforms.</li></ul><p>Data Analysis &amp; Validation</p><ul><li>Use Snowflake SQL to analyze datasets for completeness, structure, and quality.</li><li>Validate data transformations and downstream usage against documented mappings.</li><li>Support impact analysis by identifying affected assets using lineage and metadata.</li></ul><p>Collaboration &amp; Enablement</p><ul><li>Act as a bridge between business, engineering, and governance teams.</li><li>Support governance, observability, and audit readiness through strong documentation.</li><li>Contribute to standards and best practices for enterprise data documentation.</li></ul>
  • 2026-04-21T00:00:00Z
Data Engineer - Python
  • Houston, TX
  • onsite
  • Permanent / Full Time
  • 110000 - 160000 USD / Yearly
  • <p>We are seeking a talented and motivated Python Data Engineer to join our global team. In this role, you will be instrumental in expanding and optimizing our data assets to enhance analytical capabilities across the organization. You will collaborate closely with traders, analysts, researchers, and data scientists to gather requirements and deliver scalable data solutions that support critical business functions.</p><p><br></p><p>Responsibilities</p><ul><li>Develop modular and reusable Python components to connect external data sources with internal systems and databases.</li><li>Work directly with business stakeholders to translate analytical requirements into technical implementations.</li><li>Ensure the integrity and maintainability of the central Python codebase by adhering to existing design standards and best practices.</li><li>Maintain and improve the in-house Python ETL toolkit, contributing to the standardization and consolidation of data engineering workflows.</li><li>Partner with global team members to ensure efficient coordination and delivery.</li><li>Actively participate in internal Python development community and support ongoing business development initiatives with technical expertise.</li></ul>
  • 2026-04-03T00:00:00Z
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.<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&#39;s data systems.
  • 2026-04-03T00:00:00Z
Data Automation Engineer
  • Houston, TX
  • remote
  • Temporary / Contract
  • 39 - 44 USD / Hourly
  • <p>Position Overview</p><p>We are seeking a delivery‑focused Data Automation Engineer to design and implement innovative automation solutions across a Microsoft Azure‑based data analytics platform. This role partners closely with engineering teams and stakeholders to translate business requirements into scalable data engineering and AI‑enabled solutions.</p><p>The ideal candidate is hands‑on with Azure Data Factory, Synapse Pipelines, Apache Spark, Python, and SQL, and brings experience building reliable ETL pipelines across SQL and NoSQL environments. This role emphasizes performance optimization, automation, and proactive data quality within Agile DevOps delivery models.</p><p><br></p><p>Key Responsibilities</p><p>Data Engineering &amp; Automation</p><ul><li>Develop high‑performance data pipelines using Azure Data Factory, Synapse Pipelines, Spark Notebooks, Python, and SQL.</li><li>Design ETL workflows supporting advanced analytics, reporting, and AI/ML use cases.</li><li>Implement data migration, integrity, quality, metadata, and security controls across pipelines.</li><li>Monitor, troubleshoot, and optimize pipelines for availability, scalability, and performance.</li></ul><p>Performance Testing &amp; Optimization</p><ul><li>Execute ETL performance testing and validate load performance against benchmarks.</li><li>Analyze pipeline runtime, throughput, latency, and resource utilization.</li><li>Support tuning activities (e.g., query optimization, partitioning, indexing).</li><li>Validate data completeness and consistency after high‑volume processing.</li></ul><p>Platform Collaboration &amp; DevOps Support</p><ul><li>Collaborate with DevOps and infrastructure teams to optimize compute, memory, and scaling.</li><li>Maintain versioning and configuration control across environments.</li><li>Support production, testing, development, and integration environments.</li><li>Actively participate in Agile delivery processes including Program Increment planning.</li></ul>
  • 2026-04-20T00:00:00Z
Business Analyst
  • Houston, TX
  • onsite
  • Permanent / Full Time
  • 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.<br><br>Responsibilities:<br>• Conduct in-depth analysis of business processes to identify areas for improvement and optimization.<br>• Collaborate with stakeholders to gather requirements and translate them into actionable plans.<br>• Facilitate discussions with teams to ensure alignment with project goals and objectives.<br>• Review and analyze documentation to ensure accuracy and completeness.<br>• Provide support for call center operations by evaluating customer service processes and recommending enhancements.<br>• Apply Agile and Scrum methodologies to manage projects and ensure timely deliverables.<br>• Perform gap analysis to identify discrepancies between current and desired states, proposing solutions to bridge those gaps.<br>• Prepare detailed reports and presentations to communicate findings and recommendations.<br>• Work closely with technical teams to implement solutions that address identified needs and challenges.<br>• Maintain a proactive approach to problem-solving, ensuring business goals are met efficiently.
  • 2026-04-03T00:00:00Z
Business Analyst
  • Houston, TX
  • onsite
  • Temporary / Contract
  • 52.25 - 60.5 USD / Hourly
  • We are looking for a skilled Business Analyst to join our team in Houston, Texas. In this long-term contract role, you will play a pivotal part in analyzing business needs, improving processes, and bridging the gap between stakeholders and technical teams. This is an excellent opportunity to contribute to high-impact projects within the energy and natural resources sector.<br><br>Responsibilities:<br>• Conduct thorough business analysis to identify needs, define requirements, and recommend effective solutions.<br>• Collaborate with stakeholders to gather, document, and validate business and functional requirements.<br>• Review and analyze customer service processes within call center environments to identify opportunities for improvement.<br>• Facilitate Agile Scrum ceremonies and contribute to the development of user stories and acceptance criteria.<br>• Perform gap analyses to evaluate current processes against desired outcomes and recommend actionable improvements.<br>• Create detailed documentation, including process flows, functional specifications, and business case reports.<br>• Act as a liaison between business units and technical teams to ensure alignment on project goals and deliverables.<br>• Provide insights and recommendations based on data analysis to inform decision-making.<br>• Support testing efforts by validating requirements and ensuring deliverables meet business needs.<br>• Continuously monitor and assess project progress to ensure alignment with objectives.
  • 2026-04-29T00:00:00Z
Business Analyst
  • Houston, TX
  • remote
  • Temporary to Hire
  • 47.5 - 55 USD / Hourly
  • We are looking for a Business Analyst to join a team in Houston, Texas, in a contract-to-permanent position. This role is suited for someone who can translate operational needs into clear business solutions while supporting customer service-focused environments. The ideal candidate will work closely with stakeholders to evaluate processes, review documentation, and contribute within an Agile Scrum setting.<br><br>Responsibilities:<br>• Gather business needs from stakeholders and convert them into clear, actionable requirements for project teams.<br>• Analyze current workflows within call center and customer service operations to identify process gaps and improvement opportunities.<br>• Review business and technical documents for accuracy, completeness, and alignment with project objectives.<br>• Partner with cross-functional teams to support backlog refinement, sprint planning, and other Agile Scrum activities.<br>• Perform gap analysis to compare existing processes against desired outcomes and recommend practical solutions.<br>• Create and maintain organized documentation, including process flows, requirement summaries, and functional notes.<br>• Facilitate discussions between business users and delivery teams to ensure shared understanding of priorities and expectations.
  • 2026-04-28T00:00:00Z
Database Administrator
  • Houston, TX
  • onsite
  • Permanent / Full Time
  • 100000 - 112000 USD / Yearly
  • We are looking for a Database Administrator to support the reliability, security, and performance of critical database environments in Houston, Texas. This role focuses on managing SQL-based systems, improving database efficiency, and ensuring data platforms remain stable for day-to-day business operations. The ideal candidate brings strong technical depth across Microsoft SQL Server, Azure SQL Database, and MySQL, along with a proactive approach to optimization and issue resolution.<br><br>Responsibilities:<br>• Administer and maintain database platforms to ensure consistent availability, security, and operational stability.<br>• Monitor system health and investigate performance bottlenecks across Microsoft SQL Server, Azure SQL Database, and MySQL environments.<br>• Optimize queries, indexing strategies, and database configurations to improve response times and overall efficiency.<br>• Implement backup, recovery, and disaster preparedness procedures to protect business-critical data.<br>• Troubleshoot database incidents, identify root causes, and deliver timely resolutions to minimize service disruption.<br>• Support database deployments, upgrades, and configuration changes while maintaining data integrity and system reliability.<br>• Partner with application, infrastructure, and support teams to align database solutions with operational needs.<br>• Maintain documentation for database architecture, maintenance activities, and support procedures.<br>• Apply security best practices, including access management and compliance controls, across database environments.
  • 2026-04-21T00:00:00Z
Senior Machine Learning Engineer
  • Houston, TX
  • onsite
  • Permanent / Full Time
  • 140000 - 175000 USD / Yearly
  • <p>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced <strong>Machine Learning Engineer</strong> 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.</p><p>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.</p><p>&#128295; Core Responsibilities</p><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 <strong>NLP</strong>, <strong>LLMs</strong>, and <strong>Generative AI</strong></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><p><br></p>
  • 2026-04-03T00:00:00Z
Business Analyst III
  • Houston, TX
  • onsite
  • Temporary / Contract
  • 51 - 56 USD / Hourly
  • <p>Senior Business Analyst</p><p>Location: Houston, TX 77002</p><p>Work Arrangement: Hybrid – 4 days per week onsite</p><p><br></p><p>Position Overview</p><p>We are seeking an experienced Senior Business Analyst to serve as a liaison between Technology and business stakeholders in support of enterprise systems and enhancement initiatives. This role is responsible for conducting advanced business process analysis, documenting requirements, and aligning technical solutions with organizational objectives.</p><p>The ideal candidate is experienced in full‑lifecycle systems implementation and upgrades, capable of translating business needs into functional specifications, test plans, and project documentation. This role requires strong collaboration with cross‑functional teams including QA and business users to ensure accuracy, efficiency, and successful user adoption of technology solutions.</p><p><br></p><p>Key Responsibilities</p><p>Business Analysis &amp; Requirements Leadership</p><ul><li>Act as a liaison between technical teams and business stakeholders.</li><li>Perform advanced business process analysis and needs assessments.</li><li>Document business requirements, process flows, and functional specifications.</li><li>Formulate systems scope and objectives aligned with business strategy.</li></ul><p>Testing &amp; Implementation Support</p><ul><li>Coordinate with QA and partner teams to define and execute test plans.</li><li>Support business user acceptance testing initiatives.</li><li>Review progress and evaluate results for accuracy and operational efficiency.</li></ul><p>Documentation &amp; Project Governance</p><ul><li>Maintain and update the project documentation repository.</li><li>Support system development, implementation, and upgrade initiatives.</li><li>Communicate system capabilities, changes, and implementation plans to stakeholders.</li></ul>
  • 2026-04-28T00:00:00Z
Business Analyst III
  • Houston, TX
  • onsite
  • Temporary / Contract
  • 52 - 57 USD / Hourly
  • <p>Senior Business Analyst (Digital Operations)</p><p>Location: Houston, TX</p><p>Work Arrangement: Hybrid – Minimum of 4 days per week onsite (Monday–Thursday)</p><p>Schedule: 8:00 AM – 5:00 PM (1st Shift)</p><p><br></p><p>Position Overview</p><p>We are seeking an experienced Senior Business Analyst with strong project management and Scrum Master capabilities to support a highly visible digital operations portfolio. This role focuses on delivering enterprise technology solutions that modernize operational workflows, support regulatory and environmental compliance, and integrate complex systems across large-scale operations.</p><p>The ideal candidate will lead end-to-end requirements development, cross-functional coordination, and delivery execution for multiple digital applications. Success in this role requires exceptional communication, superior documentation discipline, and the ability to anticipate and resolve functional and technical challenges within complex, integrated system environments.</p><p><br></p><p>Key Responsibilities</p><p>Business Analysis &amp; Requirements Leadership</p><ul><li>Coordinate with business users, engineers, and technical teams to elicit, document, validate, and manage business and user requirements.</li><li>Develop detailed process flows, functional specifications, data flows, and use cases for complex system integration initiatives.</li><li>Create workflow diagrams, screen mockups, and cross-referenced documentation libraries.</li><li>Write clear acceptance criteria for user stories and defects; support test case reviews andQA validation activities.</li></ul><p>Project Management &amp; Scrum Leadership</p><ul><li>Serve as a project lead driving planning, execution, and delivery across multiple workstreams.</li><li>Facilitate Agile ceremonies including standups, sprint planning, backlog refinement, and retrospectives.</li><li>Partner closely with product owners, developers, QA teams, and field stakeholders to ensure alignment and transparency.</li><li>Track issues, risks, and dependencies through resolution across internal teams and external vendors.</li><li>Lead user acceptance efforts and ensure operational readiness for production deployments.</li></ul><p>Cross-Functional &amp; Technical Collaboration</p><ul><li>Act as a liaison between business, engineering, and technology teams supporting new system development and enhancements.</li><li>Support integrations involving operational technology, environmental compliance platforms, GIS, drone data, or industrial systems.</li><li>Conduct advanced business process analysis, needs assessments, and preliminary cost/benefit evaluations.</li></ul><p>Documentation &amp; Communication Excellence</p><ul><li>Produce high-quality, structured documentation supporting requirements, workflows, training, and process change.</li><li>Communicate clearly and effectively with senior leaders, operational teams, and technical stakeholders.</li><li>Proactively identify gaps, risks, and stakeholder challenges before they impact delivery.</li></ul>
  • 2026-04-08T00:00:00Z