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9 results for Data Engineer in Willis, TX

Data Engineer
  • Houston, TX
  • onsite
  • Permanent / Full Time
  • 110000 - 130000 USD / Yearly
  • We are looking for a Data Engineer to join our Data &amp; Analytics team in Houston, Texas, and help strengthen the reporting foundation that supports decisions across the business. In this role, you will shape data into reliable, business-ready models, develop scalable reporting structures, and work closely with teams such as Finance and Operations to turn complex rules into clear insights. This position blends technical data engineering with analytics-focused development, offering the opportunity to improve reporting quality, maintain dependable data flows, and contribute to ongoing enhancements in our analytics environment.<br><br>Responsibilities:<br>• Develop and maintain structured data models, including staging layers, reporting tables, and dimensional designs within the Azure-based data warehouse environment.<br>• Create and support Power BI semantic models, calculated measures, security configurations, dashboards, and reports used for operational and enterprise reporting.<br>• Monitor scheduled data workflows and dataset refresh activity, investigate processing issues, and resolve failures to keep reporting available and accurate.<br>• Adjust and enhance existing ETL and orchestration processes as business needs evolve, using tools such as Azure Data Factory and related Microsoft data platforms.<br>• Collaborate with stakeholders across functions to translate reporting needs, financial logic, and operational rules into dependable analytical solutions.<br>• Produce clear technical and business documentation covering model design, metric definitions, transformation logic, and data ownership.<br>• Apply and help refine development standards for naming, modeling approach, query design, and reporting structure to improve consistency and quality.<br>• Identify opportunities to streamline current data practices, improve performance, and introduce effective tools or methods that strengthen analytics capabilities.
  • 2026-10-05T00:00:00Z
Data Scientist
  • Houston, TX
  • onsite
  • Permanent / Full Time
  • 140000 - 170000 USD / Yearly
  • We are looking for a Data Scientist to help strengthen turbine reliability and improve operational visibility across a power generation fleet in Houston, Texas. This position combines hands-on data preparation, advanced analytics, and business reporting to turn complex equipment and performance data into practical insights for engineering and leadership teams. The ideal candidate can move comfortably between developing dashboards, analyzing downtime patterns, and creating predictive tools that support maintenance and performance decisions.<br><br>Responsibilities:<br>• Create and enhance dashboard reporting that highlights fleet financial results, equipment availability, and the primary factors affecting cost and performance.<br>• Convert operational and maintenance data into meaningful metrics and recurring reports for engineering teams, business partners, and leadership stakeholders.<br>• Gather, organize, and refine downtime, outage, and maintenance records from multiple operational sources and field documentation to support reliable analysis.<br>• Evaluate failure and outage events to identify root causes and categorize trends across mechanical, electrical, controls, weather, and grid-related issues.<br>• Build and maintain a dependable historical data set that supports querying, trend analysis, and long-term reliability reviews across the turbine fleet.<br>• Design and implement statistical and machine learning models that anticipate downtime risk, detect component deterioration, and support earlier intervention.<br>• Develop anomaly detection and early alert solutions using sensor and operating data such as vibration, temperature, pressure, and combustion-related measurements.<br>• Partner with reliability, operations, engineering, and asset management teams to validate analytical findings, improve data pipelines, and recommend maintenance strategy adjustments based on observed trends.<br>• Present technical conclusions and business implications clearly to both specialized and non-technical audiences, including management and leadership teams.
  • 2026-10-05T00:00:00Z
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.
  • 2026-10-05T00:00:00Z
Data Engineer - Python/Snowflake
  • Houston, TX
  • onsite
  • Permanent / Full Time
  • 110000 - 160000 USD / Yearly
  • <p>Join a growing data engineering team supporting mission-critical analytics and business operations within the <strong>energy, commodities trading, oil &amp; gas, or financial services sector</strong>. This role is focused on designing and supporting cloud-based data solutions using <strong>Python, Snowflake, and AWS</strong>, enabling scalable, reliable, and high-performance data platforms.</p><p>You will work closely with business stakeholders, analysts, and engineering teams to build production-grade data pipelines, modernize legacy data environments, and deliver trusted datasets that support operational and strategic decision-making.</p><p><br></p><p>Responsibilities</p><ul><li>Design, develop, and maintain scalable <strong>Python-based data pipelines</strong> that ingest, transform, and deliver data from internal and external sources.</li><li>Build and optimize data models within <strong>Snowflake</strong>, ensuring performance, scalability, and cost efficiency.</li><li>Develop ELT/ETL solutions leveraging cloud-native AWS services.</li><li>Create, monitor, and support batch and near real-time data integration workflows.</li><li>Work with structured, semi-structured, and time-series datasets from operational, trading, financial, and market data systems.</li><li>Modernize legacy data processes and migrate legacy database workloads into modern cloud architectures.</li><li>Implement data quality, reconciliation, monitoring, and alerting capabilities across the data platform.</li><li>Collaborate with analysts, traders, business users, and technology teams to deliver data solutions aligned with business objectives.</li><li>Participate in code reviews, testing, documentation, and deployment activities following engineering best practices.</li><li>Support production environments and troubleshoot data pipeline issues as needed.</li></ul><p><br></p><p><br></p><p><br></p>
  • 2026-10-05T00:00:00Z
Senior Data Engineer
  • Houston, TX
  • onsite
  • Permanent / Full Time
  • 140000 - 160000 USD / Yearly
  • We are looking for an experienced Senior Data Engineer to help design and enhance scalable data platforms that support critical business operations in Houston, Texas. This role is ideal for someone who enjoys building reliable pipelines, improving data accessibility, and working with modern big data technologies in a service-focused environment. The successful candidate will play a key role in shaping data architecture, enabling analytics, and maintaining high standards for performance, quality, and governance.<br><br>Responsibilities:<br>• Design, build, and optimize large-scale data pipelines that collect, transform, and deliver data from multiple sources.<br>• Develop robust ETL workflows using Python and Spark to support reporting, analytics, and operational data needs.<br>• Implement and maintain data solutions across distributed processing environments, including Hadoop and Azure Databricks.<br>• Create streaming and batch data integrations using Kafka and related technologies to ensure timely and dependable data movement.<br>• Collaborate with analysts, engineers, and business stakeholders to translate requirements into scalable technical solutions.<br>• Monitor pipeline performance, troubleshoot data issues, and apply improvements that increase reliability and efficiency.<br>• Establish data quality controls, validation processes, and documentation to support governance and long-term maintainability.<br>• Contribute to platform enhancements and technical initiatives, including changes to data infrastructure or internal processing frameworks when needed.
  • 2026-10-01T00:00:00Z
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 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.</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 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>
  • 2026-10-05T00:00:00Z
Software Developer
  • Houston, TX
  • remote
  • Temporary to Hire
  • 57 - 66 USD / Hourly
  • We are looking for a Software Developer to join a contract opportunity in Houston, Texas. This role is ideal for a hands-on specialist who can create and support Microsoft Copilot and Power Platform solutions while also advising stakeholders on practical, scalable approaches. You will contribute to application design, platform improvement, and user adoption across a complex enterprise environment, working closely with both technical teams and business partners.<br><br>Responsibilities:<br>• Design, build, and maintain Microsoft Copilot agents along with Power Platform solutions that address business needs.<br>• Create and refine both model-driven and canvas applications to improve usability, automation, and process efficiency.<br>• Connect solutions across Microsoft platforms and related enterprise systems, including ServiceNow and Dynamics environments.<br>• Evaluate the existing Power Platform landscape to identify ways to strengthen governance, simplify administration, and improve overall structure.<br>• Analyze legacy Power Apps and recommend whether they should be retired, redesigned, or transitioned into a more scalable environment.<br>• Collaborate with teams supporting business intelligence and Microsoft 365 capabilities to align platform usage and solution design.<br>• Develop interactive, workflow-oriented applications that capture information, guide user actions, and generate business outputs.<br>• Partner with stakeholders across Legal, Human Resources, and commercial functions to gather requirements and translate them into effective solutions.<br>• Promote platform adoption by educating users on capabilities, standards, and recommended practices for sustainable use.<br>• Contribute to enterprise modernization efforts, including work connected to Dynamics 365 and related application transition initiatives when needed.
  • 2026-09-29T00:00:00Z
Business Analyst
  • the Woodlands, TX
  • onsite
  • Permanent / Full Time
  • 80000 - 100000 USD / Yearly
  • <p>Financial Analyst</p><p>The Woodlands, TX (Fully In-Office)</p><p>Our client, a growing regional organization with operations across multiple states, is seeking a Financial Analyst for an immediate opportunity. This is a newly created position driven by company growth and offers significant visibility throughout the organization.</p><p>The Financial Analyst will partner closely with Accounting, Finance, Operational, Supply Chain, and Logistics leadership to analyze business performance, develop meaningful reporting, and identify opportunities for operational improvement. This role is ideal for a data-driven professional who enjoys working with large datasets, building impactful dashboards, and supporting strategic decision-making.</p><p>Key Responsibilities</p><ul><li>Analyze operational and financial data to identify trends, opportunities, and key performance indicators (KPIs).</li><li>Develop, maintain, and enhance complex reporting and dashboards utilizing Power BI.</li><li>Partner with Accounting, Finance, Operations, Supply Chain, and Logistics teams to provide actionable insights that drive business performance.</li><li>Monitor and analyze capital expenditures (CapEx) and operational expenditures (OpEx).</li><li>Support the purchase, movement, tracking, and analysis of physical goods across multiple locations.</li><li>Perform supply chain and logistics analysis to identify inefficiencies, optimize processes, and improve operational performance.</li><li>Analyze inventory movement, utilization trends, transportation metrics, and distribution-related data to support business objectives.</li><li>Assist leadership with forecasting, budgeting, performance analysis, and operational reporting.</li><li>Create and automate reporting processes to improve efficiency and decision-making.</li><li>Present findings and recommendations to various levels of management.</li></ul><p><br></p>
  • 2026-10-01T00:00:00Z
SCADA Engineer
  • Houston, TX
  • onsite
  • Permanent / Full Time
  • 140000 - 170000 USD / Yearly
  • We are looking for a SCADA Engineer to lead the engineering, performance, and long-term reliability of real-time control systems that support distributed energy and microgrid operations in Houston, Texas. This position blends hands-on technical execution with system-level ownership, giving you the opportunity to shape scalable architectures, strengthen operational visibility, and support critical grid-connected assets. The ideal candidate brings deep experience with SCADA platforms, field integrations, and utility telemetry, along with the ability to guide standards and technical decisions across a growing fleet.<br><br>Responsibilities:<br>• Lead the design and ongoing improvement of SCADA architecture for distributed generation and microgrid assets, ensuring the environment can support expansion without sacrificing reliability.<br>• Manage the configuration, administration, and optimization of real-time operational systems in partnership with operations, IT, and engineering teams to improve system performance and data accessibility.<br>• Act as the senior technical resource for SCADA platforms and connected control environments, providing design direction, resolving escalated issues, and helping set engineering priorities.<br>• Define and maintain standards for telemetry mapping, tag hierarchy, alarm strategy, and data quality to promote consistency across sites and systems.<br>• Support around-the-clock control center operations by helping maintain stable system availability and responding to complex technical issues affecting monitoring or control functions.<br>• Direct utility and market integrations by designing secure data exchanges and telemetry frameworks that align with grid participation and compliance needs.<br>• Oversee the engineering and commissioning of new site connections, including review of control drawings, point structures, HMI layouts, historian configuration, and controller programming.<br>• Partner with infrastructure and operations teams to strengthen cybersecurity, harden system connectivity, and maintain readiness for high-impact grid events.<br>• Drive automation, tooling, database improvements, and governed deployment practices, including support for upgrades and technology changes within the SCADA environment.
  • 2026-10-05T00:00:00Z