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205 results for Machine Learning Engineer jobs

Lead Software Engineer

Hilliard, OH
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
Our client is seeking a hands-on Software Development Team Lead to guide a cross-functional team responsible for building, enhancing, and supporting critical business applications. This individual will lead while remaining closely involved in technical decision-making, system design, and production support. This is an ideal opportunity for someone who enjoys mentoring teams, driving delivery, and staying connected to the technology without being a day-to-day individual contributor. <ul><li>Mentor a team of software developers across multiple application initiatives.</li><li>Partner with business stakeholders to prioritize work, gather requirements, and deliver solutions that improve operational efficiency.</li><li>Provide technical leadership through architecture reviews, design discussions, code reviews, and release planning.</li><li>Drive modernization efforts across a portfolio of custom business applications and integrated platforms.</li><li>Help evolve development practices, including the use of AI-assisted development tools, automation, testing, and specification-driven delivery approaches.</li><li>Oversee application support, incident response, and root cause analysis to maintain system reliability and performance.</li><li>Collaborate with IT leadership on roadmap planning, resource allocation, team development, and process improvement.</li></ul>
2026-08-19T00:00:00Z

Lead Software Engineer

Jacksonville, FL
onsite
Temporary to Hire
59.375 - 68.75 USD / Hourly
We are looking for an experienced Lead Software Engineer to join our team in Jacksonville, Florida. This Contract to permanent position offers the opportunity to lead and inspire multiple cross-functional software teams in developing, testing, deploying, and maintaining innovative products and services. If you are passionate about software development, thrive in leadership roles, and excel in collaborative environments, we encourage you to apply. Responsibilities:• Lead multiple software engineering teams in an agile environment, ensuring successful product development and maintenance.• Serve as Scrum Master for one or more teams, facilitating agile processes and removing obstacles.• Collaborate with product management and project management to plan release and sprint cycles, ensuring timely and high-quality deliverables.• Drive iterative improvements in software deployment processes to enhance release frequency and quality.• Partner with product management and engineering leadership to prioritize tasks and develop technical solutions.• Provide guidance and coaching to team members, setting goals, measuring performance, and conducting regular check-ins and formal reviews.• Promote continuous improvement in development and testing processes through architectural reviews, security audits, code evaluations, and pipeline optimization.• Manage multiple projects simultaneously, maintaining clear communication and alignment across teams.
2026-08-19T00:00:00Z

Data Engineer (Phython)

Houston, TX
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Responsibilities<ul><li>Develop scalable, reusable Python applications and services that integrate external data sources, internal platforms, and enterprise databases.</li><li>Partner with business stakeholders to gather requirements and translate operational needs into technical solutions.</li><li>Design, build, and support data ingestion frameworks, ETL processes, and enterprise data pipelines.</li><li>Promote code quality, maintainability, and standardization across shared development libraries and tooling.</li><li>Enhance internal developer utilities, automation frameworks, and data engineering best practices.</li><li>Collaborate with distributed teams to deliver reliable, high-performing solutions across multiple business functions.</li><li>Contribute to technical knowledge sharing, development standards, and continuous improvement initiatives.</li></ul>
2026-09-02T00:00:00Z

Data Solutions Engineer

Minneapolis, MN
onsite
Temporary / Contract
60 - 75 USD / Hourly
We are looking for a Data Solutions Engineer to support retail data initiatives in Minnesota. This long-term contract opportunity is suited for a hands-on data specialist who can shape scalable data solutions, strengthen reporting capabilities, and guide technical teams toward reliable delivery. The role combines data engineering, business intelligence, and stakeholder collaboration to create trusted data assets that support operational and strategic decision-making. Responsibilities: • Guide and support data engineering and BI team members by setting direction, encouraging growth, and promoting strong cross-functional collaboration. • Translate business priorities into measurable delivery goals, establish performance indicators, and monitor progress against expected outcomes. • Architect, develop, and maintain robust data pipelines that move and transform information across internal platforms and third-party sources. • Oversee ETL operations to ensure data is accurate, timely, and dependable for downstream reporting and analytics needs. • Build and refine data models and warehouse structures that enable reporting, advanced analytics, and future predictive or machine learning use cases. • Apply sound engineering practices such as automation, source control, and repeatable development standards to improve data platform quality and efficiency. • Lead the creation and enhancement of Power BI and SSRS reporting solutions with a focus on usability, consistency, and alignment with business objectives. • Partner with business stakeholders to gather requirements, convert them into technical designs, and deliver scalable BI and data solutions. • Define visualization standards, reusable datasets, and semantic layers that support self-service reporting across the organization.
2026-08-31T00:00:00Z

Embedded Software Engineer

Huntsville, AL
onsite
Temporary / Contract
40 - 48 USD / Hourly
Key Responsibilities Support the design and development of embedded airborne system software within assigned technical areas Contribute to software architecture, code implementation, peer reviews, and unit testing Assist with integration of software modules at the subsystem and cross-subsystem level Develop software tools and test harnesses to support testing, integration, and maintenance activities Participate in troubleshooting, debugging, and performance improvement of embedded software systems Apply software engineering principles and best practices throughout the software development life cycle Support requirements analysis, hardware compatibility analysis, and software product development Work with team members to improve development workflows, tools, and engineering practices Collaborate frequently with internal stakeholders and engineering teams to support successful project delivery
2026-08-29T00:00:00Z

Embedded Software Engineer

Huntsville, AL
onsite
Temporary / Contract
60 - 68 USD / Hourly
We are seeking a Contract Embedded Software Engineer to support the design, development, and integration of embedded airborne system software within a defined technical area. This role will contribute across the full software development lifecycle, including architecture, coding, peer reviews, unit testing, and subsystem integration.
2026-08-28T00:00:00Z

AI Software Engineer

Nashville, TN
onsite
Temporary / Contract
78.5 - 87 USD / Hourly
Robert Half is seeking an innovative AI Software Engineer to join our client's technology team. In this role, you will design, develop, and deploy AI-powered applications and services that leverage machine learning, large language models (LLMs), and modern cloud technologies. The ideal candidate combines strong software engineering fundamentals with hands-on experience building and integrating AI solutions into production environments.This position offers the opportunity to work on cutting-edge AI initiatives that drive automation, improve business processes, and create intelligent user experiences. Key Responsibilities<ul><li>AI Application Development: Design, build, and maintain AI-powered applications, APIs, and services using modern software development practices.</li><li>LLM Integration: Develop solutions utilizing large language models (OpenAI, Anthropic, Gemini, Llama, etc.) through APIs, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques.</li><li>Machine Learning Solutions: Build, train, evaluate, and deploy machine learning models to solve business challenges.</li><li>Software Engineering: Develop scalable backend systems and microservices using languages such as Python, C#, Java, or JavaScript/TypeScript.</li><li>Data Processing: Design data pipelines and workflows for collecting, transforming, and preparing data used in AI applications.</li><li>Cloud Deployment: Deploy and manage AI workloads within cloud environments including AWS, Azure, or Google Cloud Platform.</li><li>Model Optimization: Monitor AI system performance, improve model accuracy, optimize inference costs, and implement guardrails for reliability and security.</li><li>Collaboration: Partner with product managers, data engineers, data scientists, and business stakeholders to deliver AI solutions aligned with organizational goals.</li><li>Documentation: Create and maintain technical documentation for AI architectures, workflows, APIs, and deployment processes.</li><li>Research & Innovation: Stay current on emerging AI technologies, frameworks, and industry best practices.</li></ul>
2026-09-01T00:00:00Z

Cybersecurity Engineer

Nashville, TN
onsite
Temporary / Contract
70 - 78 USD / Hourly
Robert Half is seeking a skilled Cybersecurity Engineer to join our client's IT security team. In this role, you will be responsible for designing, implementing, and maintaining security solutions that protect the organization's networks, systems, applications, and data. The ideal candidate will have experience with security architecture, threat prevention, incident response, vulnerability management, and cloud security.This contract opportunity offers the chance to work on critical cybersecurity initiatives while helping strengthen the organization's overall security posture. Key Responsibilities<ul><li>Security Infrastructure: Design, implement, and maintain security technologies including firewalls, intrusion detection/prevention systems (IDS/IPS), endpoint protection, VPNs, and web security solutions.</li><li>Threat Detection & Response: Monitor security alerts, investigate incidents, perform root cause analysis, and implement corrective actions.</li><li>Vulnerability Management: Conduct vulnerability assessments, security audits, penetration testing coordination, and remediation activities.</li><li>Cloud Security: Secure cloud environments including Microsoft Azure, AWS, or Google Cloud Platform by implementing best practices and security controls.</li><li>Security Architecture: Assist in designing secure network, server, and application architectures to reduce organizational risk.</li><li>Identity & Access Management: Support access control initiatives, privileged access management, multi-factor authentication, and identity governance processes.</li><li>Compliance & Governance: Ensure security controls align with regulatory requirements and industry standards such as NIST, ISO 27001, HIPAA, PCI-DSS, and SOC 2.</li><li>Security Automation: Develop and maintain automation scripts and tools to improve security monitoring, threat detection, and response capabilities.</li><li>Documentation: Create and maintain security policies, procedures, standards, and technical documentation.</li><li>Collaboration: Work closely with IT, infrastructure, development, and business teams to integrate security into technology initiatives.</li></ul>
2026-09-01T00:00:00Z

API Integration & Agentic AI Engineer - (MuleSoft)

Bellevue, WA
onsite
Temporary to Hire
70 - 80 USD / Hourly
Robert Half is seeking a MuleSoft Developer to support a high-impact integration environment in support of an automobile services client based in Bellevue, WA. This role will focus on strengthening API architecture, integration discipline, security, and overall MuleSoft maturity while helping position the organization for future Agentic AI initiatives. Duration: 6 month contract with the potential to convert Location: 100% Remote, client is based in Bellevue. Schedule: Monday - Friday Core Business Hours Responsibilities<ul><li>Design, develop, and support enterprise integrations using MuleSoft and Anypoint Platform.</li><li>Build and maintain REST and SOAP APIs supporting system-to-system integrations.</li><li>Develop event-driven integrations and help transition the organization toward more scalable, event-based architecture.</li><li>Leverage Microsoft Azure services to support integration, API, and cloud-based solutions.</li><li>Implement secure integrations using OAuth, Azure security services, and Azure Key Vault.</li><li>Help establish stronger API development standards, governance, architecture, and engineering discipline across the MuleSoft environment.</li><li>Collaborate with architects, engineers, product owners, and business stakeholders to define integration solutions and technical requirements.</li><li>Participate in weekly Agile sprints, including sprint planning, backlog refinement, burn-downs, and delivery activities.</li><li>Troubleshoot integration issues and provide Level 2/3 technical support for production systems.</li><li>Contribute to the evolution of MuleSoft capabilities supporting future Agentic AI and intelligent workflow initiatives.</li><li>Help integrate MuleSoft with SaaS platforms and emerging technologies as the organization continues to modernize its application ecosystem.</li></ul>
2026-08-27T00:00:00Z

Agent Platform Engineer

Menlo Park, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Agent Platform Engineer Company OverviewA leading artificial intelligence and advanced analytics organization is seeking an Agent Platform Engineer to help develop next-generation AI orchestration and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data sources into scalable intelligence solutions that support mission-critical operations, advanced analytics, and organizational workflows. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment. Role SummaryThe Agent Platform Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. This hands-on role focuses on developing production-ready AI applications, agent frameworks, workflow orchestration systems, retrieval pipelines, and model-serving infrastructure. The ideal candidate combines strong software engineering fundamentals with expertise in AI systems, distributed architectures, and scalable platform development. Key Responsibilities<ul><li>Design and implement intelligent workflow systems for research, analysis, automation, and decision-support use cases.</li><li>Develop scalable retrieval, search, and knowledge management capabilities across structured and unstructured datasets.</li><li>Build backend services, APIs, and platform capabilities supporting AI-driven applications.</li><li>Create resilient workflow orchestration patterns for long-running, distributed, and fault-tolerant processes.</li><li>Develop authorization, permission management, auditing, and governance mechanisms within AI platforms.</li><li>Optimize retrieval, inference, and execution performance across diverse deployment environments.</li><li>Fine-tune, evaluate, and integrate open-source AI models to support specialized business workflows.</li><li>Implement model routing, inference optimization, caching, and fallback strategies.</li><li>Build evaluation frameworks that measure system accuracy, reliability, performance, and operational effectiveness.</li><li>Develop observability, monitoring, alerting, and troubleshooting capabilities across platform components.</li><li>Partner with product, data, machine learning, infrastructure, security, and customer-facing teams to deliver scalable solutions.</li><li>Contribute to technical architecture, engineering standards, and long-term platform strategy.</li></ul>Additional Details<ul><li>Fully onsite 5 days per week</li><li>Individual contributor role with substantial technical ownership</li><li>Opportunity to work on advanced AI, automation, retrieval, and knowledge graph technologies</li><li>Staff-level candidates may provide technical leadership, mentorship, and architecture guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-08-19T00:00:00Z

Senior Data Engineer

Glendale, CA
onsite
Temporary / Contract
78 - 83 USD / Hourly
Senior Data Engineer (Contract)Location: Glendale, CA | HybridEmployment Type: Long Term ContractPay: Available on W2 BasisPosition OverviewWe are seeking a Senior Data Engineer to support enterprise data engineering and platform modernization initiatives. This role will focus on designing, building, and optimizing scalable data solutions while partnering with cross-functional teams to enhance cloud-based data platforms and data-driven decision-making.The ideal candidate will bring strong expertise in Databricks, Python, Apache Spark, and Terraform, along with experience designing and operating enterprise-scale data pipelines and platforms. This position offers the opportunity to work on complex data engineering challenges involving modern cloud technologies, streaming and batch processing, automation, governance, and platform architecture.Key Responsibilities<ul><li>Design, develop, test, deploy, and maintain scalable batch and streaming data pipelines.</li><li>Build and optimize data solutions using Databricks, Apache Spark, Python, SQL, and related technologies.</li><li>Collaborate with stakeholders to gather requirements and translate business needs into scalable technical solutions.</li><li>Support and maintain data platform governance, including access controls, data lineage, cataloging, and data discovery capabilities.</li><li>Diagnose platform and pipeline issues, identify root causes, and recommend effective solutions.</li><li>Contribute to solution architecture across cloud, data, and orchestration platforms.</li><li>Develop and maintain containerized services and utilities using Docker and Kubernetes.</li><li>Implement infrastructure automation and deployment standards using Infrastructure as Code practices.</li><li>Monitor platform health, resource utilization, system performance, and operational efficiency.</li><li>Build and enhance CI/CD processes and DevOps workflows.</li><li>Implement data quality, monitoring, logging, and reliability standards across pipelines and platforms.</li><li>Partner with engineers, architects, product teams, and business stakeholders in an Agile environment.</li><li>Maintain technical documentation, standards, and platform configurations</li></ul>
2026-08-24T00:00:00Z

DevOps/AWS Platform Engineer

West Des Moines, IA
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a DevOps/AWS Platform Engineer to join a long-term contract engagement based in West Des Moines, Iowa. This hands-on platform engineering role focuses on modernizing cloud deployment patterns, strengthening infrastructure decisions, and accelerating delivery through AI-assisted development tools while maintaining high engineering standards. The person in this role will partner closely with DevOps peers to review automated changes critically, validate outcomes through established testing methods, and build reliable, reusable deployment capabilities across the AWS ecosystem. Responsibilities: • Redesign container build and publication processes so application images can be delivered through Amazon ECR and GitHub package repositories in alignment with target platform needs. • Rework deployment automation to support containerized workloads on AWS Fargate, including service definitions, networking, permissions, logging, load balancing, and release verification using existing GitHub Actions workflows. • Replace Azure-based identity and access patterns with AWS-native role design and federated access models integrated with organizational authentication groups. • Transition secrets and configuration management to AWS services such as Secrets Manager and Parameter Store to support secure runtime access. • Convert Terraform configurations from Azure-focused implementations to AWS-based infrastructure modules, including updates to providers, reusable components, and remote state management. • Update GitHub Actions pipelines, runners, and reusable workflows to align with the target GitHub organization and AWS account trust relationships. • Create and refine deployment pipelines that enable reusable delivery into AWS Fargate environments for the applications and tools supported by this platform. • Adapt scripts, instructions, and developer tooling so they operate consistently inside Ubuntu-based Coder workspaces, including environment setup, credentials handling, and workflow expectations. • Use AI-assisted coding tools to speed implementation, while independently inspecting, testing, and validating every change before release. • Produce validation evidence for migrated capabilities using the existing evaluation framework and prepare concise handoff documentation for internal engineering teams.
2026-08-14T00:00:00Z

Developer/Software Engineer

Kissimmee, FL
onsite
Temporary / Contract
68 - 73 USD / Hourly
Software Engineer / DeveloperLocation: Hybrid Kissimmee, FL (Onsite 2-4 days a week)Employment Type: Long Term ContractAbout the RoleWe are seeking an experienced Software Engineer / Developer to join a collaborative technology team focused on building and enhancing scalable software solutions. This role will contribute to the design, development, testing, and implementation of software applications and platform capabilities that support business-critical initiatives.The ideal candidate will have strong experience with modern web technologies, cloud platforms, and backend development, along with a passion for continuous learning and staying current with emerging technologies.Key Responsibilities<ul><li>Lead or contribute to small-scale software development projects, including analysis, design, coding, testing, debugging, and implementation.</li><li>Design, develop, test, and maintain software components, enhancements, fixes, and new applications.</li><li>Develop highly scalable and reliable software systems and applications.</li><li>Perform application testing, troubleshooting, and debugging to ensure quality and performance.</li><li>Write clean, maintainable, and efficient code at the component level.</li><li>Support software solutions used in networked, cloud-based, internet-facing, and enterprise environments.</li><li>Collaborate with stakeholders and end users to gather requirements and identify system improvements.</li><li>Participate in Agile development processes, including planning, development, testing, and deployment activities.</li><li>Contribute to technical discussions and provide input on software architecture and design decisions.</li><li>Stay current with emerging technologies, development practices, and industry trends.</li></ul>
2026-08-06T00:00:00Z

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.
2026-08-20T00:00:00Z

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. ***
2026-08-20T00:00:00Z

AI Platform Engineer

Marysville, OH
onsite
Temporary / Contract
70 - 80 USD / Hourly
We are looking for an Artificial Intelligence (AI) Platform Engineer to support the design, operation, and enhancement of enterprise AI platform capabilities in central OH. This Long-term Contract position will focus on creating dependable services, infrastructure, and automation that help teams build, deploy, and manage AI solutions at scale. The AI Platform Engineer is responsible for building, operating, and continuously improving the core platform capabilities that enable development, deployment, and scaling of AI solutions across our client's enterprise environment. This role focuses on implementing platform services, APIs, and infrastructure that support the AI software development lifecycle, including model integration, orchestration, deployment, and monitoring. Working under architectural guidance, the engineer ensures platform components are reliable, secure, and reusable, enabling application teams to efficiently develop and deploy AI-enabled solutions. The position emphasizes hands-on engineering, cloud platform operations, and automation, ensuring AI workloads execute consistently and efficiently across environments. Through collaboration with platform, data, and application teams, the AI Platform Engineer contributes to improving developer experience, accelerating adoption of AI capabilities, and maintaining stable, scalable platform operations. Responsibilities:• Build and maintain core AI platform services that support model development, integration, deployment, and ongoing operations across enterprise environments.• Develop APIs, reusable components, and infrastructure patterns that enable application teams to deliver AI-enabled solutions more efficiently.• Manage cloud-based platform operations to ensure AI workloads run reliably, securely, and consistently at scale.• Implement automation for provisioning, deployment, monitoring, and support processes to improve platform stability and reduce manual effort.• Collaborate with platform, data, and software engineering teams to align technical solutions with architectural standards and business needs.• Monitor platform health, troubleshoot operational issues, and drive continuous improvements in performance, resilience, and usability.• Support orchestration and lifecycle management of AI services, including deployment workflows, runtime management, and observability.• Contribute to a scalable engineering environment that accelerates enterprise adoption of AI capabilities while maintaining strong operational controls.
2026-08-18T00:00:00Z

Systems & Cloud Engineer

New Berlin, WI
onsite
Temporary to Hire
42.75 - 49.5 USD / Hourly
We are looking for a Systems & Cloud Engineer to join our team in Wisconsin on a contract basis with the potential for a permanent role. This role is ideal for a hands-on IT specialist who enjoys building, maintaining, and improving Microsoft-based environments across on-premises and cloud platforms. You will help strengthen core infrastructure, support modern connectivity between systems, and contribute to reliable technology operations that support the business. Responsibilities: • Design, deploy, and support Microsoft infrastructure services, including directory services, DNS, DHCP, group policy, file services, and print services. • Manage and enhance connectivity between on-premises systems and cloud platforms, helping align infrastructure with cloud-focused operational needs. • Administer and troubleshoot core server technologies such as Microsoft Exchange, SQL Server, IIS, and Remote Desktop Services where needed. • Build and maintain clustered environments ranging from small multi-node deployments to shared-storage or hyper-converged configurations. • Work with virtualization platforms such as Hyper-V and VMware ESXi to provision, optimize, and support virtual server environments. • Monitor system health, resolve infrastructure issues, and implement improvements that increase stability, security, and performance. • Collaborate with internal teams and stakeholders to deliver infrastructure solutions that meet technical and business requirements. • Maintain technical documentation and support certification-readiness through ongoing learning of Microsoft technologies and best practices.
2026-08-18T00:00:00Z

Software Engineering Instructor (Ruby, Python, Django)

Monroe, NY
onsite
Permanent / Full Time
65000 - 80000 USD / Yearly
We are seeking a versatile and technically strong Software Engineering Instructor to join our team in Monroe, NY. This individual will help students and/or learners strengthen their programming skills through hands-on instruction, mentoring, troubleshooting, and real-world development exercises. The ideal candidate is a well-rounded software developer who can work comfortably across multiple programming languages and frameworks and has the ability to explain complex technical concepts in a clear, approachable manner. Key Responsibilities<ul><li>Provide hands-on programming instruction, tutoring, and technical mentorship.</li><li>Teach and support learners across multiple programming languages, frameworks, and development environments.</li><li>Develop practical exercises, examples, and learning materials focused on real-world software development.</li><li>Help learners troubleshoot code, identify bugs, and understand best practices for debugging and testing.</li><li>Support testing and regression testing to ensure applications function as expected.</li><li>Introduce learners to cloud technologies, particularly AWS.</li><li>Help learners understand and apply modern AI technologies, including AI frameworks, APIs, plugins, and integrations.</li><li>Adapt instruction to different experience levels and learning styles.</li><li>Stay current with emerging programming languages, development frameworks, AI technologies, and industry best practices.</li></ul>
2026-08-31T00:00:00Z

Engineering Manager

Glen Rock, PA
onsite
Permanent / Full Time
140000 - 145000 USD / Yearly
We are looking for an experienced Engineering Manager to oversee and enhance engineering functions within a chemical manufacturing environment. This role is integral to ensuring operational excellence, compliance with safety standards, and the successful execution of capital projects. The position is based in Glen Rock, Pennsylvania, and offers an opportunity to lead a multidisciplinary team in driving innovation and reliability. Responsibilities:• Provide leadership and guidance to a team of engineers across multiple disciplines, fostering attention to detail and strong performance.• Define engineering priorities, allocate resources effectively, and align team efforts with organizational safety, production, and capital objectives.• Oversee the planning and execution of capital projects, including budgeting, scheduling, contractor management, and commissioning.• Drive process improvement initiatives to enhance yield, throughput, energy efficiency, and cost-effectiveness.• Ensure strict compliance with safety, environmental, and regulatory standards applicable to chemical manufacturing.• Collaborate with operations and maintenance teams to improve equipment reliability, minimize downtime, and support continuous improvement.• Lead risk assessments, process hazard analyses (PHAs), and incident investigations to enhance workplace safety.• Review and approve technical designs, specifications, and other engineering documentation to ensure quality and accuracy.• Manage the engineering department budget, including planning for capital expenditures and operational expenses.• Contribute to long-term site strategies, including technology upgrades, facility expansions, and modernization efforts.
2026-09-01T00:00:00Z

Snowflake Data Engineer

Chelmsford, MA
onsite
Permanent / Full Time
95000 - 120000 USD / Yearly
Snowflake & Data Engineering SpecialistLocation: Northwest of Boston, MASchedule: Hybrid (3 days onsite per week)Employment Type: Full-Time OverviewWe are seeking a hands-on Snowflake & Data Engineering Specialist to join our growing data team. This is an ideal opportunity for someone who enjoys wearing multiple hats and wants to be involved in every aspect of the data lifecycle.Unlike larger organizations where responsibilities are highly specialized, this role offers broad exposure across data architecture, ingestion, ETL development, optimization, reporting support, and platform modernization. You will help drive our transition away from legacy SSIS-based processes and play a key role in building the next generation of our cloud-based data ecosystem.We're particularly interested in candidates who have worked in smaller or mid-sized organizations where they have owned projects from start to finish and aren't afraid to roll up their sleeves to solve problems. What You'll Do<ul><li>Design, build, and maintain scalable data pipelines in Snowflake</li><li>Lead efforts to migrate legacy SSIS workflows to modern cloud-based solutions</li><li>Perform end-to-end data ingestion from a variety of source systems, APIs, flat files, databases, and third-party platforms</li><li>Develop and optimize ETL/ELT processes to support analytics and business operations</li><li>Partner directly with business stakeholders to understand data needs and deliver solutions</li><li>Monitor, troubleshoot, and improve existing data integration processes</li><li>Create and maintain data models, transformations, and data quality processes</li><li>Support reporting, analytics, and downstream data consumers</li><li>Participate in architecture discussions and help shape the company's long-term data strategy</li><li>Contribute wherever needed as part of a collaborative, high-impact team</li></ul>
2026-08-10T00:00:00Z

Lead Platform Engineer, Snowflake

New York, NY
remote
Temporary to Hire
38 - 44 USD / Hourly
We are looking for an experienced Lead Platform Engineer, Snowflake to help shape and support enterprise data platforms in New York, New York. This contract opportunity is ideal for someone who combines deep Snowflake knowledge with broad experience across cloud-based and traditional database environments. The person in this role will guide platform reliability, security, and performance while partnering with technical teams on architecture, modernization, and data movement initiatives. Responsibilities: • Lead the administration, configuration, and ongoing support of Snowflake environments to ensure stability, security, and strong performance. • Improve platform efficiency by analyzing workloads, tuning queries, and optimizing storage and compute usage across large-scale data ecosystems. • Partner with engineering and data teams to design scalable data architectures and support effective data modeling practices. • Oversee database operations across multiple platforms, including Microsoft SQL Server and PostgreSQL, within cloud-based environments such as AWS. • Drive data migration efforts and help implement platform enhancements that improve reliability, maintainability, and long-term scalability. • Provide technical leadership to the team by mentoring engineers, reviewing solutions, and guiding best practices across the data platform landscape. • Develop and maintain automation, scripts, or tooling in Python to streamline operational tasks and support platform management. • Use Git-based workflows to manage changes, support collaboration, and maintain version control across engineering deliverables.
2026-08-25T00:00:00Z

Data & Systems Engineer

Los Angeles, CA
onsite
Permanent / Full Time
110000 - 140000 USD / Yearly
Data & Systems Engineer Company OverviewA mission-driven nonprofit organization based in Los Angeles, California is dedicated to supporting and empowering a large and diverse membership through advocacy, community engagement, and operational excellence. The organization relies on technology, data, and analytics to drive informed decision-making, improve organizational effectiveness, and support strategic initiatives. This is an opportunity to join a collaborative environment where data and systems play a critical role in advancing organizational goals. Role SummaryThe Data & Systems Engineer will serve as a key technical resource responsible for managing enterprise business systems, optimizing data architecture, and expanding reporting capabilities. This role combines Salesforce administration, data engineering, systems management, and business intelligence responsibilities. The ideal candidate will have strong expertise in Salesforce, SQL, data integration, reporting, and system administration, along with the ability to translate business requirements into scalable technical solutions. Key Responsibilities<ul><li>Serve as the primary administrator for enterprise business applications, including CRM and related systems.</li><li>Manage system configuration, security, user administration, workflows, validations, and platform enhancements.</li><li>Develop and maintain reports, dashboards, and business intelligence solutions.</li><li>Build, optimize, and support data pipelines, data architectures, and reporting environments.</li><li>Manage data integrations and migrations between internal and third-party systems.</li><li>Ensure data integrity through cleansing, deduplication, audits, data loads, and ongoing governance practices.</li><li>Create and maintain backup, recovery, and disaster recovery strategies.</li><li>Perform root cause analysis and troubleshoot system, data, and reporting issues.</li><li>Develop processes supporting data transformation, metadata management, and workload optimization.</li><li>Maintain system documentation, audit logs, and change management processes.</li><li>Collaborate with cross-functional teams to gather requirements and implement technology solutions.</li><li>Provide user support, troubleshooting, training, and guidance on system functionality.</li><li>Recommend process improvements and technology enhancements that increase operational efficiency.</li></ul>Additional Details<ul><li>Hybrid onsite 3 days a week</li><li>Full-time exempt position</li><li>Opportunity to support enterprise-wide technology, data, and reporting initiatives</li><li>Fast-paced environment requiring strong organizational skills and adaptability</li><li>Collaboration with business, analytics, development, and leadership teams across the organization</li></ul>
2026-08-21T00:00:00Z

AI Engineer

Coppell, TX
onsite
Temporary / Contract
70 - 75 USD / Hourly
Seeking an AI Engineer to design, implement, and optimize AI-powered solutions that improve business processes, knowledge management, and operational efficiency. This role will work closely with technical and business teams to develop generative AI applications, build retrieval-based solutions, establish AI best practices, and ensure secure and compliant use of AI technologies. POSITION TITLE: AI EngineerLOCATION: Coppell, TX (Onsite 5 days)DURATION: 6-12 MonthsSALARY: $65-70/hour RESPONSIBILITIES<ul><li>Design, develop, and optimize AI-powered applications and workflows using Large Language Models (LLMs) and generative AI technologies.</li><li>Build and maintain prompt libraries, prompt evaluation frameworks, and best practices to improve AI accuracy, consistency, and user adoption.</li><li>Develop Retrieval-Augmented Generation (RAG) solutions that connect AI platforms to enterprise systems, databases, and document repositories.</li><li>Partner with business stakeholders to identify use cases and implement AI solutions that drive process improvements and operational efficiencies.</li><li>Establish AI governance, security controls, testing procedures, and compliance standards for production deployments.</li></ul>
2026-09-01T00:00:00Z

Full Stack Engineer

Chicago, IL
onsite
Permanent / Full Time
160000 - 180000 USD / Yearly
This role is ideal for engineers who enjoy building AI powered software systems rather than developing standalone models. If your passion is designing and shipping modern applications and eco-system including related APIs with production grade AI elements, you will thrive here. You should be comfortable owning features end to end, including contributing to front end components when needed to improve usability, workflow design, and overall user experience. We value engineers who think in terms of complete solutions, not just backend services. Our emphasis is on building reliable, scalable applications.
2026-08-26T00:00:00Z

Senior Analytics Engineer

Fort Worth, TX
onsite
Permanent / Full Time
115000 - 125000 USD / Yearly
We are looking for a Senior Analytics Engineer to lead and advance the organization’s data and analytics ecosystem in Fort Worth, Texas. This role will serve as the central technical expert for analytics, shaping scalable reporting, data modeling, and platform strategy while working closely with leadership on high-impact business decisions. The ideal candidate combines strong engineering depth with business insight and can independently drive modern analytics initiatives, including future-focused work in predictive modeling and machine learning. Responsibilities: • Lead the day-to-day ownership, support, and continuous improvement of the company’s analytics environment across reporting, modeling, and data delivery. • Design, develop, and refine interactive Power BI solutions that provide clear, reliable insights for operational and executive stakeholders. • Create and maintain robust semantic, relational, and dimensional data models that support consistent reporting and analytical accuracy. • Partner with senior leaders to translate business questions into actionable data products, metrics, and decision-support tools. • Expand the use of Microsoft Fabric, including lakehouse and Direct Lake capabilities, to strengthen scalability and performance across the analytics platform. • Drive initiatives related to predictive analytics and machine learning by identifying opportunities, developing analytical approaches, and supporting implementation. • Establish stronger standards for data governance, documentation, validation, testing, and monitoring to improve trust in analytics outputs. • Support evaluation and onboarding efforts for additional analytics talent, including offshore Power BI resources, while providing technical guidance to future team members. • Contribute to the definition of long-term analytics architecture, development practices, and platform standards that align with business growth. • Manage data integration workflows involving systems such as Salesforce and Fivetran to ensure dependable and timely access to business data.
2026-09-01T00:00:00Z

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