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196 results for Machine Learning Engineer jobs

Senior Machine Learning Engineer

Houston, TX
onsite
Permanent / Full Time
140000 - 175000 USD / Yearly
As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced Machine Learning Engineer to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.🔧 Core Responsibilities<ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on NLP, LLMs, and Generative AI</li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul>
2026-07-14T00:00:00Z

Automation Engineer

Torrington, CT
onsite
Permanent / Full Time
110000 - 160000 USD / Yearly
We are looking for a skilled Automation Engineer to join our dynamic team in Torrington, Connecticut. In this role, you will play a pivotal part in advancing our infrastructure through automation, ensuring seamless operations and enhanced reliability. You will have the opportunity to work on cutting-edge technologies and contribute to modernizing our systems.
2026-07-21T00:00:00Z

Machine Learning Consultant I (Contractor)

Philadelphia, PA
onsite
Temporary / Contract
70 - 75 USD / Hourly
Machine Learning EngineerPay: Available on W2 BasisConsultant I (Contractor)Work Location: Philadelphia, PA Hybrid, 4x OnsiteEngagement Type: 34 Week Contract, Potential for Extension or ConversionPosition OverviewWe are seeking a Machine Learning Engineer to support the design, development, and optimization of machine learning solutions for real‑world applications. This role focuses on model development, data pipeline construction, and performance evaluation within a collaborative engineering environment.Key Responsibilities<ul><li>Design, build, train, and evaluate machine learning and deep learning models for production and analytical use cases</li><li>Develop and maintain scalable data pipelines for data collection, cleaning, transformation, and ingestion</li><li>Conduct experiments and analyze performance metrics such as accuracy, recall, and AUC</li><li>Optimize models for performance, speed, reliability, and scalability</li><li>Collaborate with cross‑functional teams to support data‑driven solutions</li></ul>
2026-07-13T00:00:00Z

Automation Process Engineer

La Vergne, TN
onsite
Permanent / Full Time
90000 - 125000 USD / Yearly
The Automation Process Engineer is responsible for designing, implementing, and optimizing automated manufacturing processes within a high-volume electronics assembly environment. This role focuses on improving efficiency, product quality, and system reliability through robotics, equipment integration, and continuous improvement initiatives. This individual will lead automation projects end-to-end—from equipment selection and implementation to process optimization—while partnering cross-functionally with engineering, production, and controls teams. Key Responsibilities:Automation & Equipment Engineering<ul><li>Design, program, commission, and troubleshoot robotic and automated assembly systems (e.g., Techman, Epson, Yaskawa).</li><li>Lead the evaluation, selection, procurement, and qualification of automation equipment.</li><li>Oversee integration of robotics, material handling systems, and assembly equipment into production processes.</li><li>Partner with controls engineers to integrate PLCs, HMIs, SCADA, and MES systems.</li></ul>Process Optimization & Continuous Improvement<ul><li>Drive improvements in throughput, quality, and reliability across manufacturing operations.</li><li>Conduct root cause analysis (RCA) and implement corrective actions to resolve production issues.</li><li>Lead Lean Manufacturing and Six Sigma initiatives, including DOE and process optimization efforts.</li><li>Develop and implement process control measures and performance metrics.</li><li>Identify cost-saving opportunities and lead cost-reduction initiatives.</li></ul>Maintenance & Reliability<ul><li>Establish and improve preventive and predictive maintenance programs.</li><li>Reduce equipment downtime and improve overall system performance.</li><li>Troubleshoot complex manufacturing and automation issues.</li></ul>Project Leadership<ul><li>Lead automation and process improvement projects from concept through implementation.</li><li>Collaborate with product development teams to support new product introduction (NPI) and improve manufacturability.</li><li>Document processes, workflows, and system capabilities.</li></ul>
2026-07-20T00:00:00Z

Analytics Engineer

Des Moines, IA
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for an Analytics Engineer to join a business services team in Urbandale, Iowa on a contract basis with the potential for a permanent role. This role focuses on building scalable data models and business intelligence solutions that turn complex information into clear, reliable insights. The ideal candidate brings strong experience in data warehousing concepts, BI semantic modeling, and modern analytics platforms across both on-premises and cloud environments. Responsibilities: • Design and maintain dimensional data models that support reporting needs, including star and snowflake structures, fact tables, dimension tables, and slowly changing dimensions. • Develop relational models using sound database design principles, ensuring appropriate use of keys, entity relationships, and data integrity standards. • Create and enhance semantic layers for reporting and analytics in Power BI, Microsoft Fabric, and tabular modeling environments. • Build calculations, measures, and reusable logic that improve reporting consistency and support trusted business definitions. • Partner with stakeholders to translate business questions into scalable BI models and actionable analytical solutions. • Apply data governance practices to improve model quality, consistency, and alignment with enterprise reporting standards. • Use DAX and Power Query to prepare, model, and optimize data for dashboards, reporting, and self-service analytics. • Contribute to analytics solutions that connect on-premises data environments with cloud-based platforms such as Fabric, Synapse, Databricks, or similar technologies.
2026-07-20T00:00:00Z

Artificial Intelligence (AI) Engineer

Monroe, NY
onsite
Permanent / Full Time
150000 - 225000 USD / Yearly
We are seeking a skilled AI Engineer to join our dynamic technology team. The ideal candidate has hands-on experience integrating advanced AI and large language model (LLM) features into applications, as well as a strong background in designing and delivering AI-driven solutions. In this role, you will work closely with product, engineering, and data teams to build and enhance innovative products using the latest AI frameworks and tools. Key Responsibilities: <ul><li>Design, develop, and integrate AI and LLM features into new or existing applications, ensuring scalable and reliable deployment.</li><li>Collaborate with cross-functional teams to define technical requirements and deliver AI-driven functionalities in production environments.</li><li>Utilize AI frameworks, APIs, and platforms such as OpenAI, LangChain, vector databases, and machine learning libraries to accelerate solution development.</li><li>Lead prompt engineering, fine-tuning, and model optimization initiatives to improve performance and user outcomes.</li><li>Evaluate and select the most appropriate AI/ML models, tools, and platforms for project needs.</li><li>Conduct documentation, code reviews, testing, and performance monitoring of AI-driven products.</li><li>Stay up to date with advancements in artificial intelligence, generative models, and industry best practices.</li></ul>
2026-07-23T00:00:00Z

Artificial Intelligence (AI) Engineer

Tampa, FL
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for a skilled Artificial Intelligence (AI) Engineer to join our team in Tampa, Florida. This role offers the opportunity to design and implement innovative AI solutions while collaborating with cross-functional teams to drive impactful results. As a Contract to permanent position, this role provides a pathway to long-term growth and development within our organization. Responsibilities: • Build, train, and refine machine learning models using frameworks such as TensorFlow, PyTorch, Scikit-Learn, and Keras. • Integrate AI-driven solutions into existing on-premises applications to enhance functionality and performance. • Explore and experiment with large language models (LLMs) and agent-based coding tools to optimize internal automation and analytics workflows. • Process, engineer, and evaluate data from diverse internal sources, including structured and unstructured datasets. • Collaborate with teams across departments to ensure compliance with Criminal Justice Information Systems (CJIS) and Personally Identifiable Information (PII) standards. • Partner with analysts, investigators, and IT staff to identify opportunities where AI can provide operational improvements. • Participate in coding reviews and testing processes to ensure high-quality deliverables. • Stay updated on emerging AI technologies and prototype new tools while adhering to data governance standards. • Contribute to the continuous improvement of AI systems and processes by identifying areas for innovation and optimization.
2026-07-08T00:00:00Z

Artificial Intelligence (AI) Engineer

Raleigh, NC
onsite
Permanent / Full Time
180000 - 200000 USD / Yearly
AI Lead Engineer Skills:• Proactive self-starter with excellent interpersonal, communication, and customer service skills.• Expert-level AI/ML and full-stack development skills, with strong hands-on experience building and integrating backend services and frontend applications using modern frameworks such as Node.js and React. Strong emphasis on clean, maintainable, reproducible, well-tested, and well-documented code.• Ability to manage multiple tasks and projects simultaneously.• Collaborative team player with a focus on achieving common goals.• Meticulous attention to detail.• Quick learner with a passion for staying current with emerging technologies and industry trends.
2026-07-20T00:00:00Z

Artificial Intelligence (AI) Engineer

Tulsa, OK
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
A Tulsa based company is looking for an AI Engineer. You will help shape the future of intelligent automation and enterprise technology by developing AI-driven solutions that improve operational efficiency, enhance customer experience, and support large-scale managed services environments. In this role, you will work closely with Automation Engineers to design, develop, and implement AI models and algorithms that strengthen service offerings, expand automation capabilities, and support scalable enterprise solutions. You will also collaborate cross-functionally with engineering, operations, and technology teams to identify opportunities for AI-driven improvements and business innovation. If you enjoy working in fast-paced environments and are excited by emerging technologies and partnering across teams, please apply today. Key Responsibilities<ul><li>Develop and deploy AI models and algorithms to solve business challenges</li><li>Partner with Automation Engineers to integrate AI solutions into existing systems and workflows</li><li>Analyze, clean, and preprocess data to ensure quality and relevance for AI applications</li><li>Research and evaluate emerging AI technologies, including generative AI and machine learning solutions, to support innovation</li><li>Contribute to the testing, evaluation, and adoption of generative AI and large language model (LLM) technologies</li><li>Help build scalable AI workflows and integrate AI capabilities into enterprise systems and operational processes</li><li>Deliver reliable, effective AI solutions that support high levels of customer satisfaction</li><li>Document AI processes and maintain accurate records of model development, testing, and deployment</li><li>Support AI solutions designed for large-scale enterprise environments across industries such as retail, healthcare, finance, utilities, and energy</li></ul>
2026-07-17T00:00:00Z

Artificial Intelligence (AI) Engineer

West Palm Beach, FL
onsite
Permanent / Full Time
180000 - 220000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to create and scale enterprise AI solutions in West Palm Beach, Florida. This role focuses on building production-ready applications and shared AI services across cloud environments, with an emphasis on reliability, security, and measurable business value. The ideal candidate will combine strong engineering expertise with practical experience in large language models, automation, and system integration to advance research, knowledge management, and operational efficiency. Responsibilities: • Create, implement, and launch enterprise AI applications using Amazon Web Services and related cloud technologies. • Develop scalable AI infrastructure with services such as Amazon Bedrock, SageMaker, EC2, S3, Lambda, API management tools, orchestration services, and monitoring platforms. • Architect AI environments that prioritize security, resilience, performance, and cost control for enterprise use cases. • Build and support reusable AI capabilities that can be adopted across multiple business applications and future informatics efforts. • Engineer solutions powered by large language models, retrieval-augmented generation, AI agents, and contemporary AI development frameworks. • Deliver intelligent assistants, enterprise and semantic search tools, knowledge management capabilities, and document understanding solutions. • Design AI-driven automation that improves workflows and streamlines day-to-day business operations. • Integrate AI platforms with Microsoft and enterprise technologies, including Azure OpenAI, Microsoft 365 Copilot, Copilot Studio, SharePoint Online, Microsoft Teams, and Microsoft Graph. • Develop APIs and connected services that link AI platforms with scientific applications, cloud ecosystems, and business systems. • Contribute to AI governance, lifecycle management, observability, and the evaluation of emerging technologies while helping define enterprise standards and best practices.
2026-07-08T00:00:00Z

Artificial Intelligence (AI) Engineer

Atlanta, GA
onsite
Temporary / Contract
43.5385 - 55.25 USD / Hourly
We are looking for an Artificial Intelligence (AI) Engineer to create and expand advanced AI solutions that support real-world business applications in Atlanta, Georgia. This position is ideal for a hands-on engineer who can turn emerging AI concepts into reliable production systems, from intelligent workflows to scalable backend services. The role blends applied machine learning, large language model integration, and software engineering to deliver secure, high-performing tools in an enterprise setting. Responsibilities:• Design and develop AI-driven applications that combine machine learning models, large language models, and backend services for production use.• Create prompt frameworks, retrieval approaches, and context-handling strategies that improve the relevance and reliability of AI-generated outputs.• Build intelligent agents and automated workflows that support business processes and interact effectively with enterprise data sources.• Integrate tools such as TensorFlow, vector databases, and orchestration frameworks to support scalable AI and computer vision solutions.• Measure model and system effectiveness by monitoring accuracy, latency, stability, and overall operational performance.• Improve deployed solutions through performance tuning, cost optimization, and troubleshooting across cloud-based environments.• Collaborate with product, engineering, and user experience teams to deliver AI features that align with business goals and user needs.• Contribute reusable components, shared services, and engineering best practices that strengthen the broader AI platform.• Support detection and computer vision use cases where image-based analysis and machine learning capabilities are required.
2026-06-18T00:00:00Z

Artificial Intelligence (AI) Engineer

Knoxville, TN
remote
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to create and deliver intelligent capabilities that strengthen a SaaS product within the finance consulting space. This position partners with product, data, and engineering teams to turn business needs into practical AI and machine learning solutions. The ideal candidate brings strong hands-on experience with production ML systems, a thoughtful approach to scalable architecture, and a focus on building features that improve user outcomes and operational efficiency. The best candidate for this role is someone that is still a hands on coder. We are looking for back end software engineers that also have skills and a passion for AI. Responsibilities:• Create and launch AI and machine learning solutions that support product functionality, workflow automation, and data-driven decision-making across the platform.• Build end-to-end ML workflows that cover data preparation, feature development, model training, validation, deployment, and ongoing performance oversight.• Collaborate with product managers, software engineers, and data professionals to identify high-impact use cases for intelligent automation and advanced analytics.• Develop generative AI applications such as content summarization, recommendation engines, classification tools, and agent-based experiences while balancing response speed, quality, and operating cost.• Connect trained models to cloud-based production environments through APIs, service-oriented components, and containerized deployment patterns.• Assess external AI platforms, libraries, and vendor solutions to determine their value for product enhancement and engineering productivity.• Apply responsible AI practices by supporting model stability, bias awareness, data privacy, and security expectations throughout the development lifecycle.• Maintain clear technical documentation, structured experiment records, and repeatable development processes that support transparency and collaboration.• Track emerging trends in machine learning, large language models, and SaaS engineering to recommend improvements to tools, architecture, and delivery methods.
2026-07-15T00:00:00Z

Artificial Intelligence (AI) Engineer

Atlanta, GA
onsite
Temporary to Hire
43.7 - 55.25 USD / Hourly
We are looking for an Artificial Intelligence (AI) Engineer to create advanced generative AI and agent-driven solutions in a cloud-native environment based in Atlanta, Georgia. This contract opportunity has the potential to become a permanent role and will involve designing, building, and deploying intelligent applications that improve business operations and connect seamlessly with enterprise platforms. The role spans the full development lifecycle, with a focus on scalable architecture, practical AI integration, and high-quality delivery in collaboration with cross-functional teams. Responsibilities: • Design and build AI applications that use Claude large language models to support business-focused automation and decision-making. • Create agent-based workflows, including orchestration logic, prompt patterns, and autonomous behaviors that enable reliable task execution. • Develop and implement Model Context Protocol-based agents or comparable agent frameworks within enterprise AI environments. • Connect AI solutions to internal and external platforms through APIs, ensuring secure and efficient access to business data. • Improve application performance by refining token usage, response quality, runtime efficiency, and overall operating cost. • Build backend services, utilities, and supporting components needed to power scalable AI products in production. • Partner with product leaders, technical teams, and business stakeholders to translate requirements into practical AI solutions. • Contribute to deployment planning, testing, and ongoing enhancement of cloud-based AI systems across distributed environments.
2026-06-18T00:00:00Z

Artificial Intelligence (AI) Engineer

Lake Forest, IL
onsite
Permanent / Full Time
150000 - 185000 USD / Yearly
We are looking for an experienced AI Program Manager to lead enterprise AI and automation initiatives in Lake Forest, Illinois. This role will shape the direction of a digital workforce program, identify high-impact use cases, and guide solutions from initial evaluation through deployment and ongoing optimization. The position partners closely with business stakeholders and technical teams to expand AI adoption, deliver measurable operational value, and assess emerging technologies that support long-term innovation. Responsibilities:• Direct the enterprise digital workforce program across intake, prioritization, solution governance, implementation oversight, change enablement, and platform support activities.• Partner with business leaders and technical teams to uncover automation and agentic AI opportunities that improve efficiency, reduce costs, and strengthen operational outcomes.• Design end-to-end AI and automation solution approaches using platforms such as Bedrock, Databricks, and other approved enterprise AI environments.• Evaluate the existing automation portfolio and determine whether solutions should be retired, redesigned, or rebuilt to align with modern AI capabilities.• Lead adoption efforts for tools such as Microsoft 365 Copilot and Claude Enterprise by creating enablement strategies, user education plans, and engagement programs.• Establish and grow a network of AI champions across the organization to encourage practical usage, increase confidence, and accelerate business adoption.• Monitor program performance through recurring reporting that tracks participation, outcomes, and business value tied to capacity gains, cost impact, and revenue contribution.• Research developing trends in AI and automation, assess enterprise applicability, and run structured pilots that inform future roadmap decisions.• Guide and mentor AI Solution Analysts by overseeing process assessments and ensuring documentation and design deliverables meet business and audit standards.
2026-07-06T00:00:00Z

Artificial Intelligence (AI) System Engineer

Albuquerque, NM
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to support the design, deployment, and ongoing operation of AI systems for a government services organization in Albuquerque, New Mexico. This position centers on building reliable AI infrastructure, enabling machine learning solutions in production, and partnering with cross-functional teams to deliver secure, scalable platforms. The ideal candidate brings strong experience in automation, Kubernetes-based deployments, and modern MLOps practices, along with the ability to translate technical needs into durable operational solutions. Responsibilities:• Direct the rollout and integration of AI platforms and services, ensuring they work effectively with existing enterprise technologies and operational standards.• Architect, implement, and refine AI infrastructure in partnership with cloud, server, and platform engineering teams to support dependable system performance.• Move machine learning solutions from development into production by establishing repeatable processes for deployment, maintenance, and long-term support.• Create and manage CI/CD and MLOps workflows that cover model validation, packaging, release, rollback, and lifecycle oversight.• Automate infrastructure and platform operations through scripting, infrastructure-as-code methods, and configuration management tools.• Troubleshoot platform and service issues, perform root cause analysis, and produce clear technical documentation for support and maintenance activities.• Strengthen system visibility by implementing logging, monitoring, alerting, and incident response practices across AI environments.• Uphold security and compliance expectations by contributing to audits, remediation efforts, vulnerability management, and secure design reviews.• Identify and deliver improvements that increase performance, scalability, reliability, and cost efficiency across AI-enabled systems.• Work with technical and business stakeholders to align AI implementations with organizational priorities and evaluate emerging tools for long-term operational value.Other duties as needed
2026-06-23T00:00:00Z

Data Engineer

Kalamazoo, MI
remote
Permanent / Full Time
150000 - 225000 USD / Yearly
We are looking for a senior-level Data Engineer to shape and deliver a scalable data platform in Kalamazoo, Michigan. This role combines strategic architecture with hands-on engineering, creating reliable data products that support reporting, advanced analytics, and AI-driven solutions. The ideal candidate will build secure, multi-tenant data capabilities with strong attention to privacy, governance, and long-term platform quality. Responsibilities: • Lead the design of a modern data platform that supports ingestion, transformation, storage, and consumption across analytical and operational use cases. • Build and maintain robust batch and streaming pipelines that move data from relational systems, object storage, document databases, and event sources into centralized platforms. • Define data architecture standards, modeling approaches, and engineering practices that improve consistency, reliability, and scalability across the organization. • Create multi-tenant data solutions with strong isolation controls, secure access patterns, and governance measures built into the platform design. • Develop data models and serving layers that enable enterprise reporting, self-service analytics, and AI or machine learning workloads. • Evaluate cloud-based data services, processing frameworks, and warehouse technologies to ensure the platform meets performance, cost, and security expectations. • Partner with product, engineering, and leadership teams to explain technical decisions, highlight risks, and align platform investments with business priorities. • Oversee external vendors and implementation partners by reviewing recommendations, challenging misaligned approaches, and enforcing internal data standards.
2026-06-18T00:00:00Z

Data Engineer

Norristown, PA
onsite
Permanent / Full Time
140000 - 150000 USD / Yearly
We are looking for a Data Engineer to drive the design and delivery of scalable data solutions that support critical business objectives within the oil and gas sector. This position is based in King of Prussia, Pennsylvania, and combines technical execution with leadership responsibilities, including guiding a small team and shaping engineering best practices. The ideal candidate brings strong expertise in modern data platforms, builds dependable pipelines and models, and works comfortably across complex source systems to produce high-quality data assets. Responsibilities: • Lead the development of enterprise data pipelines and modeling solutions that enable reliable reporting, analytics, and operational decision-making. • Provide day-to-day technical direction for a small team of data engineers, offering mentorship, code guidance, and support for delivery priorities. • Design, build, and optimize ETL workflows using Python and SQL to move and transform data from a wide range of upstream systems. • Create and maintain scalable data structures in Snowflake and Databricks to support performance, usability, and long-term maintainability. • Establish engineering standards, documentation practices, and development approaches that improve consistency and quality across data initiatives. • Collaborate with business and technical stakeholders to translate data needs into practical architecture and implementation plans. • Contribute directly to hands-on coding, testing, troubleshooting, and deployment activities across the data engineering lifecycle. • Evaluate data quality, resolve integration challenges, and improve pipeline reliability through monitoring and continuous enhancement.
2026-07-17T00:00:00Z

Data Engineer

Saint Charles, MO
onsite
Temporary to Hire
38 - 44 USD / Hourly
We are seeking a Data Engineer to join the Enterprise Applications team with a Higher Education client. This role is responsible for designing, building, and maintaining systems for collecting, storing, integrating, and analyzing data from multiple sources across the organization. The Data Engineer will support a major admissions technology initiative involving the implementation of Slate CRM and will serve as a key resource for data conversion, migration, integration development, and data architecture efforts. The role will also contribute to data governance, security, and AI readiness initiatives. This is a 6 month contract to hire role. Responsibilities<ul><li>Collaborate with stakeholders to understand reporting, data, and analytics requirements.</li><li>Design, implement, document, and maintain data lakes and related data architectures.</li><li>Support data conversion, migration, and integration activities associated with the Slate CRM implementation.</li><li>Develop and maintain integrations between enterprise systems and applications.</li><li>Create and maintain data models, including star schema and dimensional models.</li><li>Prepare data environments for artificial intelligence (AI) adoption and usage.</li><li>Recommend technical solutions that align with business requirements.</li><li>Provide technical support for enterprise data systems and users.</li><li>Develop and maintain technical documentation, user guides, and operational procedures.</li><li>Manage system upgrades and enhancements, including testing and documentation updates.</li><li>Troubleshoot data access, data quality, and integration issues.</li><li>Develop and implement security configurations and support compliance with governance standards.</li><li>Create data validation methods and processes to ensure data accuracy and reliability.</li><li>Monitor system and integration performance and identify improvement opportunities.</li><li>Collaborate with internal teams and external vendors regarding system enhancements, fixes, and integrations.</li><li>Participate in planning and implementation of data-related initiatives.</li></ul>
2026-07-06T00:00:00Z

Data Engineer

Edina, MN
onsite
Permanent / Full Time
114000 - 141000 USD / Yearly
Seeking a Data Engineer to design, build, and maintain modern data pipelines, data models, reporting solutions, and analytics platforms. This role will support enterprise data initiatives using Microsoft Fabric, SAP, SQL, and Power BI while ensuring scalable, secure, and high-performing data solutions. Key Responsibilities:<ul><li>Build and maintain ETL/ELT data pipelines from SAP, SQL, and other enterprise data sources.</li><li>Develop and optimize data models within Microsoft Fabric for reporting and analytics.</li><li>Create and enhance Power BI dashboards and reports.</li><li>Utilize Power Apps and Power Automate to support data workflows.</li><li>Develop and support data science and analytical models.</li><li>Monitor and troubleshoot data pipelines, Lakehouse environments, and reporting solutions.</li><li>Support data governance initiatives by improving data quality and consistency.</li><li>Implement scalable, reusable solutions following CI/CD and best practices.</li></ul>
2026-07-22T00:00:00Z

Data Engineer

Arlington, VA
onsite
Permanent / Full Time
150000 - 190000 USD / Yearly
We are looking for a Data Engineer to join a team building dependable, scalable data solutions in Arlington, Virginia. This role focuses on designing modern data pipelines, improving the reliability of data platforms, and supporting analytics and operational needs across the business. The ideal candidate brings strong engineering depth, experience with cloud-based data ecosystems, and the ability to work closely with cross-functional partners to deliver high-quality data products. Responsibilities: • Design, build, and maintain scalable data pipelines and processing workflows that support reliable access to business-critical data. • Develop reusable data platforms and automation solutions that improve the efficiency, consistency, and performance of data operations. • Produce clear, maintainable, and well-documented code for data integration, transformation, and platform services. • Establish automated validation and testing practices to monitor accuracy, completeness, and overall data quality. • Partner with architects, product leaders, data scientists, and DevOps teams to deliver resilient data systems aligned with technical and business goals. • Assess new data sources, determine their value and fit, and implement effective ingestion approaches. • Deploy and integrate data management capabilities within enterprise or client environments while meeting operational requirements. • Strengthen data protection and continuity by identifying risks, supporting backup strategies, and contributing to recovery planning. • Build and support data storage solutions such as warehouses, lakes, and operational repositories for reporting and advanced analytics.
2026-07-20T00:00:00Z

Data Engineer

Wood Dale, IL
onsite
Temporary to Hire
47.5 - 55 USD / Hourly
We are looking for a Data Engineer to help shape and scale a modern cloud-based data environment in Wood Dale, Illinois. This contract opportunity with potential for a permanent role is ideal for someone who enjoys creating reliable data solutions from the ground up and turning disconnected information into trusted reporting assets. You will work closely with business and technical partners to build a strong data foundation that improves visibility, consistency, and decision-making. The role offers a hands-on chance to define standards, streamline data delivery, and support long-term scalability in a collaborative team setting. Responsibilities: • Create and refine scalable data models and curated datasets within BigQuery to support accurate analysis and reporting. • Build, manage, and optimize ETL workflows and data pipelines that connect information from SaaS applications and other source systems. • Develop reporting-ready data structures and dashboards that provide clear, dependable insights for business users. • Establish data quality practices, documentation standards, and performance metrics to strengthen trust in enterprise reporting. • Collaborate with cross-functional stakeholders to translate reporting objectives into well-structured data solutions. • Automate repetitive data tasks through scripting and lightweight engineering approaches using tools such as Python. • Apply governance and maintainability best practices to improve how data is organized, accessed, and supported over time. • Contribute to modernization efforts by helping move data processes away from legacy workflows into scalable cloud-based platforms.
2026-07-17T00:00:00Z

Data Engineer

Conshohocken, PA
remote
Permanent / Full Time
100000 - 150000 USD / Yearly
We are looking for a Data Engineer to join a growing team in Conshohocken, Pennsylvania within the financial services industry. In this role, you will build and enhance modern data pipelines and warehouse structures that support reporting, analytics, and business decision-making. You will partner with technical and business teams to deliver reliable, well-governed data solutions using Python, Azure Synapse Analytics, and related cloud technologies. Responsibilities: • Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows. • Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions. • Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use. • Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints. • Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions. • Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets. • Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels. • Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing. • Apply security, privacy, and governance standards to data solutions while supporting broader data platform initiatives such as lakes, lakehouses, and cataloging practices.
2026-06-25T00:00:00Z

Data Engineer

Atlanta, GA
onsite
Temporary to Hire
47.5 - 60 USD / Hourly
We are looking for a Data Engineer to join an opportunity in Atlanta, Georgia. In this role, you will design and support reliable data solutions that enable efficient reporting, analytics, and downstream business insights across cloud-based platforms. The ideal candidate brings strong engineering fundamentals, enjoys working with diverse data sets, and can help shape scalable architecture in a collaborative enterprise environment. Responsibilities:• Design, build, and maintain robust data pipelines that move and transform information from a variety of internal and external sources.• Develop efficient integration processes to unify structured and unstructured data for analytics, reporting, and operational use cases.• Improve the speed, reliability, and scalability of existing data workflows through tuning, monitoring, and process optimization.• Create and refine data models that support business intelligence, advanced analytics, and decision-making needs.• Administer and enhance cloud-based data environments across modern platforms, ensuring stability, security, and performance.• Partner closely with analytics and business teams to understand data needs and deliver accessible, high-quality datasets.• Implement ETL solutions using Python, Spark, and cloud-native services to support enterprise data operations.• Contribute to best practices for data engineering, documentation, and cross-functional collaboration within a consultative delivery model
2026-06-18T00:00:00Z

Data Engineer

Denver, CO
remote
Temporary / Contract
59.375 - 68.75 USD / Hourly
We are looking for an experienced Data Engineer to help shape and deliver Microsoft Fabric solutions that strengthen enterprise data, analytics, and reporting capabilities in Denver, Colorado. This Long-term Contract position will partner closely with business technology stakeholders to define scalable architecture, establish engineering standards, and improve the reliability of data platforms and reporting environments. The role requires hands-on expertise across Microsoft Fabric components, modern data integration approaches, and performance-focused design. You will also guide internal teams through best practices for governance, deployment, and operational readiness. Responsibilities: • Evaluate the current and planned Microsoft Fabric environment and identify effective architectural approaches for workspaces, storage, integration, and reporting solutions. • Create reusable data engineering frameworks for ingestion, transformation, and orchestration using Fabric pipelines, notebooks, Dataflows Gen2, Lakehouse structures, and Warehouse objects. • Plan connectivity and data movement strategies for enterprise applications, operational feeds, APIs, file-based inputs, and existing Microsoft or Azure data assets. • Define and recommend governance and security controls, including tenant configuration, workspace permissions, environment separation, sensitivity labeling, and lineage management. • Analyze capacity usage, workload distribution, refresh behavior, storage consumption, and query performance to improve scalability, cost efficiency, and platform stability. • Establish practical DevOps and release management standards for source control, deployment pipelines, environment promotion, documentation, and naming conventions across Fabric assets. • Develop monitoring guidance, operational metrics, alerting approaches, and support runbooks to assist with large-scale Fabric administration. • Lead knowledge-sharing sessions, technical walkthroughs, and documentation efforts so internal teams can effectively manage administration, engineering, governance, and Power BI-related activities.
2026-07-20T00:00:00Z

Data Engineer

Nashville, TN
onsite
Temporary / Contract
55 - 65 USD / Hourly
Robert Half is seeking a Contract Data Engineer to support our client’s data and analytics initiatives. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable efficient data ingestion, transformation, and delivery. The ideal candidate has strong experience working with modern data platforms, cloud environments, and large-scale datasets. Key Responsibilities:<ul><li>Data Pipeline Development: Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li>Data Architecture: Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li>Cloud Data Platforms: Work within cloud environments such as AWS, Azure, or GCP to deploy and manage data solutions.</li><li>Data Warehousing: Design and support enterprise data warehouses using platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse.</li><li>Big Data Processing: Develop solutions using big data technologies such as Spark, Databricks, Kafka, and Hadoop when required.</li><li>Performance Optimization: Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li>Data Quality & Reliability: Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li>Collaboration: Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li>Documentation: Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul>
2026-07-16T00:00:00Z