24 results for Data Engineer in The Woodlands, TX

Data Engineer

Houston, TX
onsite
Contract / Temporary to Hire
0 - 0 USD / Yearly
We are looking for a skilled Data Engineer to join our team in Houston, Texas. This Contract to permanent position offers an exciting opportunity to work at the intersection of data engineering, analytics, and business strategy. If you have a strong background in building and optimizing data pipelines and are passionate about leveraging technology to drive insights, we encourage you to apply. Responsibilities: • Design, develop, and optimize scalable data pipelines and workflows to support business analytics. • Collaborate with cross-functional teams to gather and analyze data requirements. • Implement ETL processes to extract, transform, and load data from diverse sources. • Utilize tools such as Apache Spark and Hadoop to manage large-scale data processing. • Integrate streaming data systems using Apache Kafka to enhance real-time analytics. • Monitor and troubleshoot data flow and systems to ensure high performance and reliability. • Develop and maintain documentation for data engineering processes and systems. • Ensure data security and integrity across all platforms and processes. • Work closely with stakeholders to translate business needs into technical solutions. • Stay updated with industry trends and emerging technologies to improve data engineering practices.
2026-03-31T00:00:00Z

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
Temporary
0 - 0 USD / Yearly
We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions that support enterprise reporting and advanced dashboards. This role will work with cross‑cloud data sources, including SAP, GCP, and BigQuery, and partner closely with analytics and business teams to deliver high‑quality, analytics‑ready datasets powering BI and AI initiatives. Key Responsibilities<ul><li>Design, build, and maintain data pipelines following Medallion Architecture (Bronze, Silver, Gold) best practices.</li><li>Develop and support ETL processes pulling data from SAP, Google Cloud Platform (GCP), and BigQuery.</li><li>Ensure high data quality, reliability, and performance across ingestion and transformation layers.</li><li>Support analytics and visualization teams by delivering clean, well‑modeled datasets for:</li><li>Power BI dashboards using DAX</li><li>Google Looker dashboards using LookML</li><li>Collaborate with stakeholders to understand data requirements and translate them into scalable data models.</li><li>Maintain documentation on data sources, transformations, and architecture.</li><li>Support AI and API‑driven initiatives, including planned usage of Google ADK for API integrations</li></ul>
2026-04-03T00:00:00Z

Data Engineer

Houston, TX
onsite
Contract / Temporary to Hire
0 - 0 USD / Yearly
We are looking for a skilled Data Engineer to join our team in Houston, Texas. In this Contract to permanent position, you will play a key role in designing, developing, and optimizing data solutions while collaborating with cross-functional teams to deliver impactful results. This role offers an excellent opportunity to contribute to innovative projects and mentor other developers. Responsibilities: • Design and implement scalable data solutions using tools such as Apache Spark, Hadoop, and Kafka. • Build and maintain efficient ETL processes to ensure seamless data transformation and integration. • Collaborate with product owners, business analysts, and stakeholders to gather requirements and translate them into technical solutions. • Optimize and troubleshoot complex data workflows to enhance performance and reliability. • Lead technical discussions and provide architectural guidance for best practices and development standards. • Mentor entry level developers and conduct code reviews to ensure high-quality deliverables. • Integrate data solutions with existing systems and third-party tools using APIs and cloud platforms. • Stay updated with the latest data engineering technologies and proactively recommend improvements. • Work within Agile/Scrum teams to deliver solutions aligned with user stories and project goals. • Ensure compliance with security and quality standards through thorough documentation and testing.
2026-04-01T00:00:00Z

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.
2026-04-01T00:00:00Z

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
Contract / Temporary to Hire
0 - 0 USD / Yearly
We are looking for a skilled Data Engineer to join our team in Houston, Texas. This contract position offers an exciting opportunity to leverage your expertise in data processing and analytics within the dynamic energy and natural resources industry. You will play a pivotal role in designing, implementing, and optimizing data solutions to support critical business operations. Responsibilities: • Develop and maintain scalable data pipelines using Apache Spark, Python, and ETL processes. • Design and implement data storage solutions utilizing Apache Hadoop for efficient data management. • Build real-time data streaming architectures with Apache Kafka to support operational needs. • Optimize data workflows to ensure high performance and reliability across systems. • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. • Perform data quality checks and validation to ensure accuracy and consistency of datasets. • Troubleshoot and resolve technical issues related to data processing and integration. • Document processes and workflows to ensure knowledge sharing and operational transparency. • Monitor and improve system performance, ensuring the infrastructure meets business demands.
2026-04-01T00:00:00Z

Data Engineer - Lead

Houston, TX
onsite
Permanent
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.
2026-04-03T00:00:00Z

Data Engineer - Python

Houston, TX
onsite
Permanent
110000 - 160000 USD / Yearly
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. Responsibilities<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 Analyst

Spring, TX
remote
Temporary
0 - 0 USD / Yearly
We are looking for a skilled Data Analyst to join our team in Spring, Texas. This long-term contract position offers an excellent opportunity to utilize your expertise in fraud investigation and analytics while contributing to meaningful data-driven insights. If you enjoy analyzing complex datasets and identifying patterns to prevent fraudulent activities, this role is for you. Responsibilities: • Analyze large datasets to identify trends, anomalies, and patterns indicative of fraudulent activities. • Develop and implement fraud detection strategies using advanced analytics and investigative techniques. • Collaborate with cross-functional teams to collect and organize data for fraud prevention initiatives. • Conduct detailed investigations into suspected fraudulent activities and recommend appropriate actions. • Create reports and dashboards to communicate findings and support decision-making processes. • Maintain up-to-date knowledge of fraud detection tools and techniques to enhance operational effectiveness. • Monitor ongoing transactions and activities to detect and mitigate potential fraud risks. • Work closely with stakeholders to understand business needs and deliver impactful data analysis. • Ensure the accuracy and integrity of data used for fraud analytics and reporting. • Provide training and guidance to team members on fraud analytics best practices.
2026-04-02T00:00:00Z

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

Business Intelligence (BI) Engineer

Houston, TX
onsite
Temporary
66.5 - 77 USD / Hourly
We are looking for a skilled Business Intelligence (BI) Engineer to join our team in Houston, Texas, on a long-term contract basis. In this role, you will be responsible for designing, implementing, and optimizing BI solutions that support business decision-making processes. This is an exciting opportunity to collaborate with cross-functional teams and leverage cutting-edge technologies to deliver impactful insights. Responsibilities: • Develop and maintain BI solutions using technologies such as BusinessObjects, Cognos, and DAX. • Collaborate with business users to gather and analyze requirements, translating them into actionable insights. • Create and manage dashboards, reports, and visualizations to support organizational analytics needs. • Work with APIs, including Maps API, to integrate data sources and enhance reporting capabilities. • Optimize data pipelines and workflows using Informatica to ensure accuracy and efficiency. • Design comprehensive Business Requirement Documents (BRDs) that outline project objectives and deliverables. • Perform data analysis to identify trends, patterns, and opportunities for business improvement. • Ensure data security and compliance across all BI processes and solutions. • Provide ongoing technical support and training to business users. • Stay updated on emerging BI technologies and recommend their integration into existing systems.
2026-04-01T00:00:00Z

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.
2026-04-01T00:00:00Z

Senior Machine Learning Engineer

Houston, TX
onsite
Permanent
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>
2026-04-03T00:00:00Z

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

Infrastructure Engineer

Houston, TX
onsite
Temporary
61.75 - 71.5 USD / Hourly
We are seeking a skilled Infrastructure Engineer to join our team in Houston, Texas, on a long-term contract. In this role, you will be responsible for managing and maintaining essential IT infrastructure, including servers, networks, cloud platforms, and security systems. Your expertise will be crucial in ensuring the reliability, scalability, and security of our organization's technology environment. Responsibilities: • Serve as an escalation point for server, network, cloud, and security-related issues. • Install, configure, and manage Windows servers, Active Directory, Group Policy Objects (GPOs), and file/print services. • Provide end-user support for Microsoft 365 applications, including Exchange Online, SharePoint, Teams, Intune, and OneDrive. • Monitor system performance, network connectivity, and compliance using tools such as Fortinet and Bitdefender. • Research and recommend IT infrastructure solutions that align with business needs. • Implement upgrades and optimizations for systems, including patch management and backups. • Deploy and maintain services in virtualized and containerized environments using VMware and Hyper-V. • Troubleshoot and resolve incidents, and perform root-cause analysis to prevent recurrence. • Contribute to disaster recovery planning and execution, ensuring minimal downtime during critical situations. • Document processes, update technical knowledge bases, and provide guidance to entry-level IT staff to build team expertise.
2026-04-02T00:00:00Z

Platform/Software Engineer

Houston, TX
onsite
Permanent
140000 - 180000 USD / Yearly
Software Platform Engineer will design, build, and maintain a core Data & Machine Learning platform. Platform Development: Design and implement new features for our AWS and Databricks-based platform, staying current with industry trends and advancements in AI. Core Component Implementation: Test and integrate central platform components that support our technology stack and serve tenants across the organization. Collaboration: Partner with other engineering teams to identify and deliver platform enhancements that solve specific business problems. Maintain Excellence: Uphold strict security protocols, compliance controls, and architectural principles in all aspects of your work.
2026-04-03T00:00:00Z

ML/Data Consultant

Houston, TX
onsite
Temporary
0 - 0 USD / Yearly
Key Responsibilities<ul><li>Design and implement forecasting algorithms tailored to specific customers and product lines</li><li>Partner with business stakeholders to determine appropriate forecasting methodologies and modeling approaches</li><li>Build machine learning solutions from scratch (no existing models in place)</li><li>Ingest and transform data from an on‑premises data warehouse using ETL processes</li><li>Stage and model data into reporting schemas for analytics and downstream consumption</li><li>Develop and expose semantic models, initially schema‑based, and transition them to use a data lake as the primary source</li><li>Enable reporting and analytics by publishing schemas and models into Microsoft Fabric</li><li>Support the evolution of existing semantic models to lake‑centric architectures</li><li>Ensure scalable, well‑governed data models aligned with analytics and ML use case</li></ul>
2026-04-03T00:00:00Z

Software Developer

Houston, TX
onsite
Temporary
0 - 0 USD / Yearly
We are seeking a Full Stack .NET Developer to join a collaborative development team focused on building and enhancing modern web applications. This role is ideal for someone who enjoys working across the full technology stack, values clean architecture, and thrives in a team‑oriented environment.Responsibilities<ul><li>Design, develop, and maintain full‑stack web applications using ASP.NET Core and C#</li><li>Build modern front‑end experiences using Blazor and WebAssembly</li><li>Develop and consume RESTful Web APIs, including OData services</li><li>Implement data access layers using Entity Framework Core with SQL Server following a code‑first approach</li><li>Apply CLEAN Architecture and CQRS principles to produce scalable, maintainable solutions</li><li>Utilize Telerik UI components for .NET Core and Blazor applications</li><li>Collaborate closely with cross‑functional teams to analyze requirements and deliver high‑quality software</li><li>Write clean, well‑structured, and maintainable code following object‑oriented design principles</li><li>Participate in code reviews, testing, and continuous improvement initiatives</li></ul>
2026-03-31T00:00:00Z

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.
2026-04-03T00:00:00Z

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
2026-04-03T00:00:00Z

Database Adminsitrator

Houston, TX
onsite
Temporary
0 - 0 USD / Yearly
Robert Half is looking for a database administrator who loves the challenge of solving problems with multiple layers of complexity. If you are an efficient problem solver with highly tuned decision making skills, this may be the position for you. What you get to do every single day · Install, configure, and maintain all SQL Server instances across development, staging, and production environments · Ensure database server topology, configuration, and maintenance are designed and executed to meet SLA objectives · Advise on database design, tuning options, and other potential issues · Fix SQL Server service outages as they occur, including after hours and weekends · Configure SQL Server monitoring utilities to minimize false alarms · Baseline system performance and monitor for deviation, recommending and implementing improvements to slow running queries · When performance issues arise, you'll figure out the most effective way to increase performance including hardware purchases, server configuration changes, or index/query changes
2026-04-03T00:00:00Z

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.
2026-03-31T00:00:00Z