163 Results for Artificial Intelligence Ai Engineer Jobs

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Marketing AI Analyst

Bloomington, MN
onsite
Temporary / Contract
47.5 - 55 USD / Hourly
We are looking for a Marketing AI Analyst to join a retail organization on a Contract basis in Bloomington, Minnesota. This position focuses on turning marketing and customer data into actionable insights through AI-driven analysis, predictive modeling, and performance reporting. The ideal candidate will blend strong analytical thinking with hands-on experience across marketing platforms, analytics tools, and modern AI technologies to support smarter business decisions. Responsibilities: • Analyze marketing, customer, and campaign data to identify trends, opportunities, and performance insights that inform business strategy. • Build and refine predictive models that help forecast customer behavior, campaign outcomes, and key retail marketing metrics. • Connect and evaluate datasets from multiple business platforms to improve the quality, accessibility, and usefulness of AI-driven analysis. • Create dashboards and visual reports in tools such as Power BI, Tableau, or Looker to communicate findings to stakeholders clearly and effectively. • Use platforms including Google Analytics, Adobe Analytics, and Google Ads data sources to assess digital marketing effectiveness and optimize spend. • Partner with CRM and marketing teams to measure audience engagement, campaign performance, and customer lifecycle results. • Apply Python and AI technologies to streamline analysis, enhance modeling approaches, and support advanced marketing use cases. • Contribute to the use of emerging frameworks such as LangGraph and MCP-level tools where appropriate for analytical and AI workflow development.
2026-10-02T00:00:00Z

Identity Management Solutions Engineer

Buda, TX
onsite
Temporary / Contract
75 - 90 USD / Hourly
Identity Management Solutions EngineerOnsite | Buda, TX | Contract Robert Half is hiring an Identity Management Solutions Engineer to support a large-scale technology transformation initiative. This role will focus on identity architecture, access governance, directory services, authentication platforms, and post-acquisition integration activities. Responsibilities: <ul><li>Assess and document current identity and access management environments.</li><li>Design and implement identity integration strategies during M&A activities.</li><li>Manage and optimize Microsoft Entra ID (Azure AD), Active Directory, and related IAM technologies.</li><li>Support SSO, MFA, conditional access, privileged access, and identity governance initiatives.</li><li>Identify security, compliance, and operational risks related to user access.</li><li>Create architecture diagrams, workflows, and technical documentation.</li></ul>
2026-10-01T00:00:00Z

Identity Management Solutions Engineer

Cincinnati, OH
remote
Temporary / Contract
50 - 70 USD / Hourly
We are looking for an Identity Management Solutions Engineer to support complex identity and access initiatives for acquired business environments in Cincinnati, Ohio. This Long-term Contract position focuses on evaluating current identity infrastructures, shaping future-state solutions, and guiding secure migrations into standardized enterprise platforms. The role offers the opportunity to contribute as a senior hands-on engineer while also providing direction to a small domain team when needed. Responsibilities: • Lead identity engineering activities for assigned operating company environments, coordinating priorities, validating technical changes, and helping resolve delivery obstacles for a small team when team leadership is part of the assignment. • Analyze existing identity ecosystems by documenting directories, domains, tenants, authentication models, federation methods, and privileged access structures to support broader integration planning. • Create target-state identity architectures, align designs with program stakeholders, and carry approved solutions through implementation. • Evaluate how identity changes affect connected applications, endpoint environments, service accounts, and other dependent systems so transition activities are sequenced appropriately. • Produce effort estimates, define identity work stages, and communicate dependency timing to support integrated project plans and cutover readiness. • Prepare migration and cutover strategies by identifying technical risks, assessing business impact, and establishing rollback approaches before implementation windows begin. • Lead tenant-to-tenant and directory migration efforts, including identity mapping, coexistence planning, trust configuration, synchronization changes, and transition into the enterprise Microsoft 365 environment. • Configure and maintain Entra ID and hybrid identity services, including single sign-on, enterprise applications, Conditional Access, multifactor authentication, and Entra Connect integrations. • Rework identity integrations for applications and non-human identities by updating federation relationships, claims mappings, provisioning connections, service principals, managed identities, and service accounts using least-privilege principles. • Develop repeatable automation for migration and administration tasks using tools such as PowerShell, Python, Microsoft Graph, cloud APIs, and infrastructure-as-code methods where appropriate.
2026-10-19T00:00:00Z

Software QA Test Engineer

Fort Washington, PA
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for a Software QA Test Engineer to join a semiconductor equipment team in Fort Washington, Pennsylvania on a contract basis with the potential for a permanent role. In this role, you will help verify the performance, stability, and reliability of complex software that supports precision equipment, working closely with engineering and cross-functional partners in an Agile environment. The position offers hands-on involvement with both simulated platforms and production hardware while contributing to high-quality releases for advanced automation systems. Responsibilities: • Create and maintain comprehensive test strategies, detailed test cases, and execution scripts for software used in real-time equipment control. • Partner with developers, systems engineers, and distributed team members to clarify requirements and confirm test readiness for new functionality. • Conduct functional, integration, end-to-end, and regression testing to evaluate software behavior across multiple operating scenarios. • Record, prioritize, and follow software defects through resolution using established issue-tracking practices and tools. • Build and enhance automated validation routines in Python to improve repeatability and broaden system-level test coverage. • Assess software performance in simulation environments as well as on physical semiconductor manufacturing equipment. • Assist with equipment demonstrations, qualification activities, and customer acceptance events by validating system operation and issue resolution. • Analyze unexpected system behavior, isolate root causes, and collaborate with development teams to drive effective fixes. • Recommend and implement improvements to QA workflows, testing tools, and overall coverage to strengthen product quality.
2026-10-15T00:00:00Z

Data & Integration Engineer

Mankato, MN
onsite
Permanent / Full Time
95000 - 115000 USD / Yearly
We are looking for a Data & Integration Engineer to support the design and delivery of dependable data solutions for healthcare operations in Mankato, Minnesota. In this role, you will create and optimize data pipelines, connect critical applications, and help ensure information moves accurately across clinical, operational, and business platforms. This position is ideal for someone who combines strong technical depth with a practical understanding of healthcare data standards, platform reliability, and regulatory expectations. Responsibilities: • Develop and support scalable data workflows that collect, transform, and distribute information across enterprise systems. • Build and manage integrations between clinical, operational, and business applications to enable consistent data exchange. • Monitor data processing and interface performance, troubleshoot failures, and improve overall reliability of connected systems. • Establish and maintain controls that strengthen data accuracy, completeness, and consistency throughout the data lifecycle. • Create and enhance data infrastructure using modern cloud and database technologies to support reporting, analytics, and operational needs. • Partner with technical and business teams to understand integration requirements and translate them into effective engineering solutions. • Implement solutions that align with healthcare data regulations and interoperability expectations across connected platforms. • Support interfaces and data connections involving electronic health record and practice management systems, including related downstream applications.
2026-10-08T00:00:00Z

Quality Engineer

Lockport, NY
onsite
Permanent / Full Time
60000 - 80000 USD / Yearly
Robert Half Permanent Placement is excited to partner with an innovative manufacturer in Lockport, NY on their search for a Quality Engineer. This exciting role has a starting salary of $60,000 - $80,000 depending on experience and a comprehensive benefits package. Our great client has newly created this position that comes with excellent career growth opportunity for someone with a quality and safety mindset. Responsibilities include but not limited to: <ul><li>Develop, implement, and maintain quality procedures, work instructions, inspection methods, and testing protocols to ensure compliance with customer, regulatory, and internal quality standards</li><li>Evaluate manufacturing processes, analyze quality data and trends, and lead continuous improvement initiatives that enhance product quality, reduce waste, and improve operational efficiency</li><li>Conduct product, material, equipment, and process validation activities, including testing, calibration management, statistical analysis, and documentation of results </li><li>Lead investigations involving nonconforming materials, customer complaints, and corrective and preventive actions, performing root cause analysis and implementing effective corrective actions</li><li>Support and maintain the Quality Management System including safety and quality certifications, customer specifications, raw material specifications, and finished product requirements</li><li>Train production and quality personnel on quality systems, inspection methods, new equipment, and standard operating procedures to ensure consistent execution across the organization</li><li>Support customer and certification audits, respond to customer quality inquiries, maintain inspection and calibration records, and serve as backup to the Director of Quality as needed</li></ul>
2026-10-16T00:00:00Z

SOC Engineer

Chicago, IL
onsite
Permanent / Full Time
95000 - 125000 USD / Yearly
We are seeking a Senior SOC Engineer to help monitor, detect, investigate, and respond to cybersecurity threats across enterprise environments. This role is responsible for strengthening security operations, improving detection capabilities, and supporting incident response efforts to protect systems, networks, and data. The ideal candidate brings deep experience in security operations, threat detection, incident investigation, and security tooling. This person is analytical, collaborative, and able to operate effectively in fast-paced environments where timely response and strong judgment are critical. Key Responsibilities<ul><li>Monitor security events, alerts, and incidents across networks, endpoints, cloud environments, and applications.</li><li>Investigate suspicious activity, triage alerts, and determine severity, impact, and appropriate response actions.</li><li>Lead or support incident response activities, including containment, eradication, recovery, and post-incident analysis.</li><li>Develop, tune, and maintain SIEM use cases, correlation rules, dashboards, and alerting logic.</li><li>Analyze logs and telemetry from multiple security tools to identify threats, anomalies, and indicators of compromise.</li><li>Collaborate with infrastructure, engineering, and IT teams to remediate vulnerabilities and strengthen security controls.</li><li>Conduct threat hunting activities to proactively identify malicious behavior or hidden risks.</li><li>Support the development and maintenance of SOC processes, playbooks, runbooks, and escalation procedures.</li><li>Mentor junior analysts and contribute to the maturity of security operations practices.</li><li>Recommend improvements to detection engineering, incident handling, and operational workflows.</li><li>Prepare incident reports, metrics, and executive-ready summaries for technical and non-technical stakeholders.</li><li>Stay current on emerging threats, attacker techniques, and cybersecurity best practices.</li></ul>
2026-10-19T00:00:00Z

Implementation Engineer

San Antonio, TX
remote
Permanent / Full Time
100000 - 120000 USD / Yearly
We are looking for an Implementation Engineer to lead the deployment and integration of enterprise technology solutions for customer environments in San Antonio, Texas. This role partners closely with client IT teams to prepare infrastructure, connect cloud-based services, and deliver secure, reliable implementations that align with business needs. The ideal candidate brings strong systems and networking knowledge, a methodical approach to documentation, and the ability to resolve technical issues with professionalism and urgency. Responsibilities: • Deploy and configure enterprise software across customer servers, workstations, and connected network devices. • Coordinate with client IT teams to assess infrastructure readiness and prepare environments for successful solution delivery. • Integrate platforms with identity and access management systems, including Azure Active Directory, Microsoft Entra ID, Google, Active Directory, and Okta. • Connect cloud services to customer networks while ensuring dependable performance, security, and compatibility. • Produce clear implementation records, configuration details, and support documentation for completed projects. • Investigate technical issues in existing installations and provide timely troubleshooting and resolution. • Use remote collaboration and support tools to assist customers, perform technical reviews, and complete implementation tasks. • Follow company policies, operational procedures, and applicable compliance and safety standards in all work activities. • Communicate openly with management regarding project status, risks, and other important matters affecting delivery.
2026-10-01T00:00:00Z

Data Engineer II

Lakewood, OH
remote
Permanent / Full Time
77000 - 115000 USD / Yearly
The Data Engineer II will play a vital role in our Data transformation journey — helping move the organization toward a future state where decision-makers have the right data, in real time, when they need it. This role is responsible for driving the execution of key data projects, including data management, data conversions, ongoing ingestion pipelines, and data platform engineering and operations. The ideal candidate will work across systems and teams to ensure data flows seamlessly, reliably, and securely throughout the enterprise, supporting both strategic initiatives and day-to-day operations. Duties and Responsibilities: Develop an understanding of our current data landscape Administer and optimize Snowflake and other data platforms to ensure performance and alignment with business goals including role/permission management performance tuning, cost optimization, and capacity planning. Manage operations of the Data Warehouse, Middleware/Azure Enterprise Service Bus (ESB), Cognos, and related analytics tools. Provide secondary support for Data Integration & Platform Engineering responsibilities, including assisting with system maintenance, data pipeline operations, and platform enhancements. Stay informed on emerging data technologies and trends, sharing insights to help identify opportunities for innovation and improved data use. Help implement scalable and efficient data solutions that improve business insights and operational performance. Collaborate with IT and business stakeholders to support data access, usability, and consistency across departments. Participate in the integration of new tools and systems, ensuring seamless functionality and data accuracy. Provide advanced support by resolving escalated issues from Data Engineer I, ensuring timely and effective resolution of complex technical challenges. Contribute to a collaborative, high-performing team culture by supporting peers and sharing knowledge. Enforce data governance policies, ensuring data is secure, consistent, and compliant with regulations. Support efforts to meet financial regulations and cybersecurity standards in all data-related systems. Administrator and/or deliver configuration requests in our Azure ESB environment to Banking Core System through APIs. Design and develop pipelines for additional data vendors Recommend, implement and maintain best practices for the environment Ability to illustrate and maintain the enterprise’s data systems architecture Complies with all applicable banking laws and regulations, including, but not limited to the Bank Secrecy Act, must be eligible to work in the U.S. Patriot Act, and related anti-money laundering statutes, and federal consumer protection legislation and regulations. Builds working knowledge of all applicable laws and regulations. Other duties as assigned
2026-10-16T00:00:00Z

Mobile Device Engineer

Robbinsdale, MN
onsite
Temporary / Contract
39.5865 - 45.837 USD / Hourly
We are looking for a Mobile Device Engineer to take ownership of a large enterprise mobile environment supporting a 24/7 healthcare organization. This role will be responsible for the full lifecycle of mobile technology, including iPhones, iPads, mobile device management, application deployment, operating system upgrades, device refreshes, and long-term platform planning. This is more than a device administration role. The ideal candidate will be someone who takes ownership, plans ahead, communicates clearly, and follows deployments through to completion. You will help ensure mobile technology is reliable, secure, and ready to support critical patient-care workflows. If you enjoy owning an environment, improving processes, and being the person who makes sure things don't fall through the cracks, this role could be a great fit. Enterprise Mobility & Device Management<ul><li>Own and administer the enterprise mobile device environment, including iPhones, iPads, and tablets</li><li>Manage mobile devices through JAMF, Microsoft Intune, MECM/SCCM, and Apple Business Manager</li><li>Manage iOS/iPadOS upgrades, testing, deployment, and release readiness</li><li>Support new Apple device introductions and emerging mobile technologies</li><li>Monitor device and deployment health and resolve exceptions</li></ul>Application Deployment & Support<ul><li>Manage enterprise mobile application deployments and updates</li><li>Support Rover-related application deployments and go-live activities</li><li>Validate that application and operating system deployments are completing successfully</li><li>Troubleshoot failed deployments and coordinate with other technical teams when needed</li><li>Partner with application, infrastructure, security, and business teams to minimize disruption</li></ul>Mobile Lifecycle Management<ul><li>Own the mobile device lifecycle from procurement and deployment through retirement and replacement</li><li>Maintain accurate device inventory and identify devices approaching end-of-support</li><li>Develop refresh and replacement strategies based on device age, supportability, and business needs</li><li>Build proactive lifecycle roadmaps, timelines, and recommendations</li><li>Help forecast future device needs and potential budget impact</li></ul>Planning & Platform Strategy<ul><li>Develop and maintain a roadmap for the organization's mobile technology environment</li><li>Create proactive testing and validation plans for major Apple and mobile platform releases</li><li>Coordinate change management activities surrounding mobile technology</li><li>Evaluate the operational and business impact of platform changes before deployment</li><li>Identify opportunities to improve the reliability, efficiency, and maturity of the mobile environment</li></ul>
2026-10-06T00:00:00Z

M365 Engineer

Denver, CO
remote
Temporary / Contract
71.25 - 82.5 USD / Hourly
We are looking for an experienced M365 Engineer to support enterprise cloud initiatives for a banking organization in Denver, Colorado. This Long-term Contract position is suited for a senior specialist who can independently guide solution design, technical delivery, and platform improvement across Microsoft 365 and Azure environments. The role focuses on building secure, scalable collaboration and identity solutions while partnering with technical and business teams to advance modernization goals. Responsibilities: • Architect, deploy, and refine Microsoft 365 and Azure-based solutions that align with enterprise performance, security, and scalability needs. • Provide senior-level technical leadership across the Microsoft platform, translating business objectives into practical cloud designs and implementation plans. • Manage and improve core Microsoft 365 services such as Exchange Online and SharePoint Online to support reliable communication and collaboration. • Drive initiatives related to security, compliance, governance, and identity management within the Microsoft ecosystem. • Assess emerging Microsoft AI capabilities, including Copilot, and recommend or implement use cases that improve productivity and operational efficiency. • Create cloud adoption approaches, technical standards, and modernization roadmaps to guide ongoing platform evolution. • Partner with infrastructure teams, security specialists, and business stakeholders to deliver well-integrated and sustainable solutions. • Resolve advanced technical issues, perform root-cause analysis, and offer expert guidance on complex platform challenges. • Produce clear architecture documentation, operational procedures, and technical recommendations for stakeholders and support teams.
2026-10-19T00:00:00Z

Cloud DevOps Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a Cloud DevOps Engineer with deep Azure experience to help automate infrastructure, improve deployment processes, and enhance the reliability and scalability of cloud environments. This individual will partner with engineering teams to implement best practices across cloud operations, automation, security, and CI/CD.Responsibilities<ul><li>Design, build, and maintain Azure cloud infrastructure</li><li>Develop Infrastructure as Code solutions using Terraform or Bicep</li><li>Build and maintain CI/CD pipelines</li><li>Support containerized applications and Kubernetes environments</li><li>Monitor system performance and resolve production issues</li><li>Implement cloud security and governance standards</li><li>Automate operational and deployment processes</li><li>Support disaster recovery and high-availability initiatives</li></ul>
2026-10-08T00:00:00Z

Cloud Engineering Specialist

Union, NJ
onsite
Temporary / Contract
42.75 - 49.5 USD / Hourly
We are looking for a skilled Cloud Engineering Specialist to support secure and reliable cloud services for a university environment in Union, New Jersey. This Long-term Contract position focuses on strengthening Microsoft 365 and related identity platforms while helping maintain resilient, scalable, and high-performing systems. The role is well suited for a hands-on cloud specialist who can balance technical problem-solving, automation, and cross-functional collaboration in a dynamic academic setting. Responsibilities: • Oversee daily administration and support of the Microsoft 365 environment to ensure dependable service delivery and strong platform performance. • Manage and enhance cloud and identity solutions across Azure, Active Directory, Exchange Online, SharePoint, and Okta-connected services. • Develop and maintain automation scripts, including PowerShell-based tasks, to improve efficiency, consistency, and operational control. • Troubleshoot authentication, access, and integration issues involving cloud platforms and federated identity services. • Partner with security, infrastructure, and application teams to strengthen the protection, availability, and scalability of institutional systems. • Produce reports and validate account or access data by reconciling information from connected enterprise platforms such as student-related systems. • Support cloud engineering initiatives by applying sound technical judgment and documenting solutions, configurations, and support processes.
2026-09-25T00:00:00Z

Cloud Engineer (Azure) (Fully Remote)

Hartford, Ct, CT
remote
Temporary / Contract
47 - 55 USD / Hourly
Cloud Engineer (Azure) Location: 100% RemoteEmployment Type: Contract (6-9 Months with Potential Extension)Compensation: Hourly Equivalent of $97,000 - $110,000 annuallyBenefitsThis opportunity is eligible for:<ul><li>Paid Time Off (PTO) accrual</li><li>Holiday pay</li><li>Access to medical, dental, and vision benefit options</li><li>401(k) </li></ul> About the Opportunity:Robert Half is partnering with an organization undergoing a major cloud transformation initiative. As part of a large-scale infrastructure modernization effort, the company is migrating critical systems and workloads from traditional data centers into a multi-cloud environment. We are seeking a Cloud Engineer who will play a key role in cloud migration projects, infrastructure modernization, and day-to-day cloud operations. This position offers the opportunity to work on enterprise-scale initiatives while helping build the next generation of cloud infrastructure. Responsibilities<ul><li>Support the migration of on-premises infrastructure and workloads into cloud environments</li><li>Design, deploy, configure, and maintain Microsoft Azure infrastructure solutions</li><li>Administer and support cloud networking, security, and identity management services</li><li>Collaborate with infrastructure, networking, and security teams on cloud initiatives</li><li>Build and manage virtual machines, storage, backup, and recovery solutions</li><li>Monitor, troubleshoot, and optimize cloud environments for performance and reliability</li><li>Assist with cloud governance, security, and compliance initiatives</li><li>Support hybrid and multi-cloud environments</li><li>Document technical solutions, configurations, and operational procedures</li><li>Participate in infrastructure modernization and cloud transformation projects</li></ul>
2026-10-14T00:00:00Z

Principal Data Engineer

Avon, MN
onsite
Permanent / Full Time
130000 - 190000 USD / Yearly
We are looking for a Principal Data Engineer to shape and lead a modern enterprise data platform serving multiple business lines. This position will define the architectural direction for a Microsoft Fabric-based environment, guide engineering best practices, and partner closely with data and IT leaders to support long-term growth. The role is ideal for a senior technical expert who combines deep hands-on engineering capability with strong mentorship and platform strategy experience. Responsibilities:• Lead the design and ongoing evolution of a Microsoft Fabric lakehouse environment, establishing a scalable architecture across raw, refined, and curated data layers.• Create and support robust data integration workflows that bring information together from more than 30 enterprise applications and operational platforms.• Set technical standards for data engineering, including coding practices, solution design patterns, documentation, and review processes.• Mentor data engineers through hands-on coaching, collaborative development, and detailed code feedback to strengthen team capability.• Partner with data and IT leadership to align platform architecture with business priorities and future expansion needs.• Develop high-quality data pipelines using modern tools and frameworks such as SQL, Python, Spark, and PySpark within cloud-based data ecosystems.• Evaluate new technologies, architectural approaches, and data platform trends, then provide informed recommendations for adoption.• Support governance and platform reliability by promoting strong lineage, quality, performance, and scalable engineering practices.• Contribute to cross-platform interoperability initiatives, including environments that may involve Databricks, governance tooling, and enterprise data services.
2026-10-16T00:00:00Z

Principal Data Engineer

Des Moines, IA
remote
Permanent / Full Time
225000 - 300000 USD / Yearly
Position: Principal Data Engineer | Direct Hire Permanent Location: Remote Salary: $225,000 - 300,000 base plus bonus potential *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. *** Build the data foundation that powers analytics, AI, and enterprise decision-making. We’re hiring a Principal Data Engineer to design and deliver a modern, scalable data platform from the ground up. This is a high-impact, hands-on role where you’ll lead architecture decisions, build production-grade pipelines, and enable secure, multi-tenant data capabilities that support everything from reporting to advanced AI use cases. What You’ll Own • Design and build a modern data platform across ingestion, transformation, storage, and consumption • Develop scalable batch and real-time pipelines across diverse data sources (relational, event, document) • Establish data architecture standards, modeling practices, and engineering frameworks • Create secure, multi-tenant data environments with strong governance and access controls • Build data models and serving layers for reporting, self-service analytics, and AI workloads • Evaluate and implement cloud data technologies for performance, cost, and scalability • Partner with engineering and business leaders to align data strategy with company priorities • Guide vendors and external partners while enforcing internal data standards and quality What You Bring • 10+ years of experience in data engineering, including large-scale architecture ownership • Strong programming skills in Python and experience with tools like Spark, Kafka, or similar • Expertise building batch and streaming pipelines in cloud environments (AWS preferred) • Deep knowledge of data modeling for both transactional and analytical systems • Hands-on experience with Snowflake, Redshift, or modern data platforms • Strong understanding of data governance, privacy, and secure data design • Experience with ETL frameworks, testing, and CI/CD-driven data workflows • Ability to clearly communicate technical strategy and tradeoffs to senior stakeholders Why This Role • Architect and build a next-generation data platform from foundational level • Direct impact on analytics, product insights, and AI capabilities • High ownership, visibility, and influence across engineering and leadership • Opportunity to define standards, tooling, and long-term data strategy If you’re a hands-on data engineer who enjoys building scalable platforms and shaping how data is leveraged across an organization, this is a high-impact opportunity to lead from the front.
2026-09-23T00:00:00Z

Principal Data Engineer

Des Moines, IA
remote
Permanent / Full Time
180000 - 225000 USD / Yearly
Position: Principal Data Engineer | Direct Hire Permanent Location: Remote Salary: $180,000 - $225,000 base plus SIGNIFICANT bonus and or equity potential *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. *** Build the data foundation that powers analytics, AI, and enterprise decision-making. We’re hiring a Principal Data Engineer to design and deliver a modern, scalable data platform from the ground up. This is a high-impact, hands-on role where you’ll lead architecture decisions, build production-grade pipelines, and enable secure, multi-tenant data capabilities that support everything from reporting to advanced AI use cases. What You’ll Own • Design and build a modern data platform across ingestion, transformation, storage, and consumption • Develop scalable batch and real-time pipelines across diverse data sources (relational, event, document) • Establish data architecture standards, modeling practices, and engineering frameworks • Create secure, multi-tenant data environments with strong governance and access controls • Build data models and serving layers for reporting, self-service analytics, and AI workloads • Evaluate and implement cloud data technologies for performance, cost, and scalability • Partner with engineering and business leaders to align data strategy with company priorities • Guide vendors and external partners while enforcing internal data standards and quality What You Bring • 10+ years of experience in data engineering, including large-scale architecture ownership • Strong programming skills in Python and experience with tools like Spark, Kafka, or similar • Expertise building batch and streaming pipelines in cloud environments (AWS preferred) • Deep knowledge of data modeling for both transactional and analytical systems • Hands-on experience with Snowflake, Redshift, or modern data platforms • Strong understanding of data governance, privacy, and secure data design • Experience with ETL frameworks, testing, and CI/CD-driven data workflows • Ability to clearly communicate technical strategy and tradeoffs to senior stakeholders Why This Role • Architect and build a next-generation data platform from foundational level • Direct impact on analytics, product insights, and AI capabilities • High ownership, visibility, and influence across engineering and leadership • Opportunity to define standards, tooling, and long-term data strategy If you’re a hands-on data engineer who enjoys building scalable platforms and shaping how data is leveraged across an organization, this is a high-impact opportunity to lead from the front. *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654 or mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-09-23T00:00:00Z

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. Responsibilities: • Create and enhance dashboard reporting that highlights fleet financial results, equipment availability, and the primary factors affecting cost and performance. • Convert operational and maintenance data into meaningful metrics and recurring reports for engineering teams, business partners, and leadership stakeholders. • Gather, organize, and refine downtime, outage, and maintenance records from multiple operational sources and field documentation to support reliable analysis. • Evaluate failure and outage events to identify root causes and categorize trends across mechanical, electrical, controls, weather, and grid-related issues. • Build and maintain a dependable historical data set that supports querying, trend analysis, and long-term reliability reviews across the turbine fleet. • Design and implement statistical and machine learning models that anticipate downtime risk, detect component deterioration, and support earlier intervention. • Develop anomaly detection and early alert solutions using sensor and operating data such as vibration, temperature, pressure, and combustion-related measurements. • 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. • 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 Scientist

Sacramento, CA
onsite
Temporary / Contract
65 - 70 USD / Hourly
100% Onsite Role. We are looking for a Data Scientist to support advanced analytics and machine learning initiatives in Sacramento, California. This Long-term Contract position focuses on creating practical, production-ready solutions that improve operational decision-making, with an early emphasis on predictive maintenance and fleet performance in asset-heavy environments. The role works closely with business leaders and technical teams to turn complex data into reliable models, useful insights, and scalable AI capabilities. Must have experience in construction, mining, transportation, manufacturing, energy, or other asset-intensive industries Responsibilities:• Build, test, and implement machine learning and analytical models using operational, maintenance, and telemetry data to improve equipment reliability and reduce unexpected downtime.• Create pilot solutions with measurable success criteria, then develop high-performing concepts into stable model pipelines suitable for ongoing production use.• Convert analytical results into clear recommendations, dashboards, or decision-support outputs that help both technical teams and business stakeholders act with confidence.• Partner with data engineering teams to shape requirements for data intake, transformation, feature creation, and model delivery across the broader data environment.• Document methodologies, assumptions, dependencies, and performance results to support transparency, repeatability, and effective model governance.• Provide input on enterprise data architecture needs from a data science perspective, including dataset design, feature availability, experiment tracking, and model readiness.• Identify data limitations, quality concerns, and enrichment opportunities that could influence model accuracy or business value.• Work with cross-functional partners to define new analytics and AI opportunities and assess external tools or vendor-developed solutions when needed.
2026-10-16T00:00:00Z

Data Scientist

Bala Cynwyd, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Scientist to join a healthcare-focused technology team in Bala Cynwyd, Pennsylvania on a Long-term Contract basis. This position will support predictive analytics initiatives tied to state programs, quality oversight, compliance monitoring, and risk evaluation. The role is well suited for someone who can work comfortably across technical analysis, stakeholder communication, and team guidance while using modern Microsoft-based data tools. Responsibilities: • Build and refine predictive models that support healthcare analytics, quality measurement, compliance assessment, and risk-related reporting. • Analyze complex datasets to uncover trends, generate actionable insights, and improve decision-making for program and operational stakeholders. • Create interactive dashboards and reporting solutions in Power BI to present findings in a clear and business-friendly format. • Use R, Python, SQL, and related tools to prepare data, perform statistical analysis, and develop repeatable analytical workflows. • Work within Azure and Microsoft-based data environments, including SQL Server and MySQL, to manage and access structured data sources. • Partner with analysts and business teams to translate technical results into practical recommendations for non-technical audiences. • Provide day-to-day guidance and informal leadership within a small analytics team, helping coordinate priorities and support best practices. • Contribute to data engineering and integration activities, including ETL processes and the use of tools such as Spark, Hadoop, and Kafka where needed. • Leverage approved AI tools such as Copilot to improve efficiency in analysis, documentation, and reporting tasks.
2026-10-01T00:00:00Z

Data Scientist

Los Angeles, CA
onsite
Permanent / Full Time
70000 - 90000 USD / Yearly
We are looking for a Data Scientist to join our clients pricing and analytics team. This role is ideal for someone early in their career who combines strong statistical thinking with an interest in insurance economics, especially in areas such as pricing, reserving, and telematics-driven analysis. You will partner closely with senior pricing and actuarial leaders, working across the full analytical lifecycle from raw data exploration to business-facing recommendations. The position offers broad exposure to how insurance performance is measured, explained, and improved through disciplined modeling and clear communication. Responsibilities:• Perform end-to-end analytical work that supports insurance rate reviews, including data preparation, trend evaluation, loss development analysis, and documentation used for regulatory support.• Develop, test, and refine pricing and telematics models using statistical and machine learning techniques, ensuring results are accurate, explainable, and suitable for business use.• Assist with reserving analysis by working with loss triangles, development patterns, and ultimate loss estimates that align actuarial findings with financial reporting.• Create and maintain recurring performance dashboards and reporting that track key indicators such as loss ratios, claim frequency, claim severity, and cohort behavior.• Investigate unusual shifts in portfolio performance, segment results, or customer retention trends, and translate findings into actionable insights for the broader team.• Write organized, reusable code and data workflows that support independent analysis while making it easy for others to review and build on your work.• Collaborate with pricing and actuarial stakeholders to gradually take ownership of increasingly complex analyses and modeling assignments as your experience grows.• Communicate analytical conclusions clearly in written materials and presentations for audiences that need business impact explained without technical detail.
2026-10-19T00:00:00Z

Power BI/NetSuite Data Analytics Engineer

Tampa, FL
onsite
Permanent / Full Time
100000 - 130000 USD / Yearly
Working as an IT professional serving FP&A group in administering and developing new tools, functionality enhancements, and departmental modification requests. This role will require strong Power BI Engineering skills, NetSuite ERP administration and quality assurance, and maintaining clean and scalable usage of Workday Adaptive Planning We are looking for a finance-savvy analytics specialist to connect business priorities with data-driven reporting and planning solutions in Tampa, Florida. This role works across Finance, Technology, and leadership teams to turn complex operational and financial information into clear insights that support planning, performance measurement, and strategic decisions. The ideal candidate brings strong experience with Power BI, enterprise financial systems, and modern analytics practices, along with the ability to communicate effectively with both technical and non-technical stakeholders. Responsibilities:• Work closely with finance leaders and cross-functional partners to gather reporting needs and translate them into practical analytics solutions.• Design and enhance Power BI dashboards and recurring reports that provide leadership with clear visibility into business and financial performance.• Build, refine, and troubleshoot data queries to pull information from enterprise platforms for analysis, validation, and reporting.• Coordinate with data engineering teams to support reliable data flows, scalable reporting structures, and consistent metric definitions.• Evaluate financial and operational results, uncover meaningful trends, and deliver actionable recommendations to decision-makers.• Support budgeting, forecasting, and planning activities by creating reporting tools and analytical outputs that improve accuracy and insight.• Develop data models and performance measures that track revenue, expenses, utilization, and other key business indicators.• Use Python and related tools to streamline manual reporting tasks and strengthen analytical automation.• Promote data quality, governance, and reporting consistency across systems used by finance and business teams.
2026-10-05T00:00:00Z

Supplier Quality Engineer

Lavergne, TN
onsite
Permanent / Full Time
65000 - 85000 USD / Yearly
Our client is seeking a Supplier Quality Engineer to drive supplier quality performance, lead corrective action initiatives, and reduce manufacturing defects and material-related scrap. This role partners closely with suppliers, engineering, operations, and quality teams to ensure purchased materials meet quality expectations and support continuous improvement efforts. Key Responsibilities:<ul><li>Lead supplier quality investigations, containment activities, and corrective action efforts.</li><li>Partner with suppliers to identify root causes and implement sustainable solutions using methodologies such as 8D and continuous improvement tools.</li><li>Coordinate material sorting and containment activities with internal teams, suppliers, and third-party providers.</li><li>Track and analyze supplier-related quality issues, assembly damage, and scrap trends.</li><li>Drive process improvement initiatives using DMAIC, Pareto analysis, trend analysis, and data-driven action plans.</li><li>Manage the supplier failure analysis process, including tracking returned materials and ensuring timely supplier responses.</li><li>Collaborate with Operations, Quality, Process Engineering, and Test Engineering teams to improve product quality and reduce costs.</li><li>Support ISO 9001 quality management activities, including internal audits, documentation, calibration, and continuous improvement efforts.</li><li>Prepare reports and communicate quality performance metrics to management and key stakeholders.</li></ul>
2026-10-02T00:00:00Z

Data Scientist/MLE

Pittsburgh, PA
onsite
Temporary / Contract
85000 - 200000 USD / Yearly
We are looking for Data Analytics, Data Science, and AI professionals interested in exploring new opportunities with organizations leveraging data to drive strategic decision-making and innovation. We are partnering with multiple companies seeking talent across analytics, machine learning, artificial intelligence, and advanced reporting functions. Location: Pittsburgh, PA (Hybrid and Onsite Opportunities Available)Compensation: $85,000 - $200,000+ depending on experience and positionSchedule: Full-Time Opportunities May Include:<ul><li>Data Analyst</li><li>Senior Data Analyst</li><li>Business Intelligence Analyst</li><li>BI Developer</li><li>Data Scientist</li><li>Senior Data Scientist</li><li>Machine Learning Engineer</li><li>AI Engineer</li><li>Applied AI Engineer</li><li>AI/ML Engineer</li><li>Manager, Data & Analytics</li></ul>Responsibilities:<ul><li>Analyze large datasets to uncover trends, patterns, and actionable insights</li><li>Build dashboards, reports, and visualizations for business stakeholders</li><li>Develop predictive models, machine learning solutions, and AI-driven applications</li><li>Partner with cross-functional teams to solve complex business challenges</li><li>Evaluate and improve data quality, reporting accuracy, and analytical processes</li><li>Develop and deploy machine learning models into production environments</li><li>Communicate findings and recommendations to technical and non-technical audiences</li></ul>
2026-10-14T00:00:00Z

DevOps Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking an Azure DevOps Engineer to build, automate, and support modern cloud infrastructure and CI/CD pipelines. This role will focus on Azure cloud operations, Infrastructure as Code, application deployments, monitoring, and automation initiatives.Responsibilities<ul><li>Design, implement, and maintain Azure cloud infrastructure.</li><li>Build and support CI/CD pipelines using Azure DevOps.</li><li>Develop Infrastructure as Code using Terraform, Bicep, or ARM templates.</li><li>Support containerized environments using Docker and Kubernetes.</li><li>Monitor system performance and resolve production issues.</li><li>Collaborate with development and security teams to improve deployment processes.</li><li>Implement security best practices and cloud governance policies.</li><li>Automate operational tasks to improve efficiency and reliability.</li></ul>
2026-10-08T00:00:00Z

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