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154 results for Big Data Engineer jobs

Business Analytics/Data Analyst

Lexington, KY
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a skilled Business Analytics/Data Analyst to support data-driven decision-making for a Contract position. This role focuses on transforming raw information into meaningful business insights through analysis, reporting, and data quality improvement. The ideal candidate brings strong experience with Microsoft SQL, Excel, and business intelligence tools, along with the ability to interpret productivity metrics and present findings clearly. Responsibilities:• Analyze operational and business data to identify trends, performance patterns, and areas for improvement.• Develop and maintain reports, dashboards, and recurring analytics deliverables using business intelligence tools and Microsoft technologies.• Write and optimize SQL queries to extract, validate, and organize data from multiple sources for reporting purposes.• Cleanse and standardize datasets to improve accuracy, consistency, and reliability across analytical outputs.• Track productivity metrics and convert findings into actionable recommendations for business stakeholders.• Partner with cross-functional teams to gather reporting needs and translate business questions into analytical solutions.• Review data for integrity issues, investigate discrepancies, and support resolution through structured analysis.
2026-08-14T00:00:00Z

Business Analytics/Data Analyst

San Ramon, CA
remote
Temporary / Contract
75 - 90 USD / Hourly
Robert Half Management Resources is looking for a Business Analytics/Data Analyst to support one of our clients on an interim basis. This role will contribute to Workday supply chain and procurement efforts by improving data quality, validating converted records, and resolving issues that affect system readiness. The position works closely with project stakeholders to ensure legacy information is accurately prepared, tested, and aligned with business rules in the target environment. Responsibilities:• Prepare, map, and transform legacy supply chain and procurement data for upload into Workday using approved conversion tools and templates.• Perform detailed comparisons between source records and Workday data to confirm completeness, accuracy, and adherence to defined business rules.• Investigate conversion failures and data-related defects, identify root causes, and coordinate fixes for issues affecting inventory, suppliers, requisitions, and purchasing records.• Partner with functional leads, analysts, and implementation team members to address data discrepancies and keep conversion activities moving on schedule.• Support unit, integration, and broader testing cycles by building reliable data sets and confirming converted information performs correctly in test environments.• Use Excel, SQL, and related analysis tools to cleanse, reconcile, and organize large datasets for migration and validation activities.• Track issues in project management or defect logging tools and provide clear updates on status, findings, and resolution progress.
2026-08-17T00:00:00Z

Data Scientist II

San Ramon, CA
remote
Permanent / Full Time
119000 - 180000 USD / Yearly
Our client is seeking a Data Scientist II – Generative AI to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale. You will design and implement GenAI-powered agents that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment. Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.
2026-08-18T00:00:00Z

Business Data Analyst

White Plains, NY
onsite
Permanent / Full Time
90000 - 110000 USD / Yearly
We are looking for a Business Data Analyst to transform complex data into clear, practical insights that support strategic decision-making. This role is based in White Plains, New York, and is well suited for someone who can bridge business needs with technical data solutions. The ideal candidate brings a strong analytical mindset, experience working with modern data platforms, and the ability to communicate findings effectively across diverse stakeholder groups. Responsibilities: • Analyze business and operational data to identify trends, uncover issues, and deliver actionable recommendations. • Design, write, and optimize SQL queries to extract, validate, and manage data for reporting and analysis. • Build and maintain dashboards and visual reports using tools such as Power BI or Tableau to support business visibility. • Collaborate with technical teams and business partners to define data needs, translate requirements, and improve reporting solutions. • Develop and support data pipelines or automated workflows using scripting or programming languages such as Python or Java. • Apply data modeling and warehousing principles to structure information for accurate analysis and efficient access. • Work with cloud-based data environments, including AWS or Azure, to support scalable analytics and data integration. • Investigate data quality concerns and resolve complex data-related problems through structured analysis and testing.
2026-08-05T00:00:00Z

Staff Data Platform Engineer

San Francisco, CA
remote
Permanent / Full Time
200000 - 250000 USD / Yearly
100% Remote!! We are looking for an experienced Staff Data Platform Engineer to lead the design and long-term direction of a foundational data platform in San Francisco, California. In this role, you will shape how critical operational data is modeled, governed, and accessed to support automation in a highly regulated healthcare environment. You will combine architectural leadership with hands-on engineering to build reliable, scalable systems that enable product teams to move quickly while maintaining accuracy, performance, and audit readiness. Responsibilities:• Lead the architecture and ongoing refinement of core data structures, including business entities, system events, and traceable records for automated outcomes.• Develop and maintain the platform services and storage layers that support AI-enabled workflows, ensuring data is both usable for decision-making and controlled for compliance needs.• Create approaches for organizing, versioning, and retrieving domain knowledge so the platform can expand in capability as product needs evolve.• Define stable data interfaces and platform APIs that allow engineering teams to build new functionality against dependable contracts.• Improve scalability and system resilience to support rapid growth in users, workload volume, and transaction complexity.• Partner with product and engineering leaders to set technical priorities, evaluate tradeoffs, and guide platform strategy.• Write production-quality backend code and contribute directly to implementation across the data platform stack.• Strengthen observability, testing, and data quality practices to protect integrity and support effective incident response.
2026-07-31T00:00:00Z

Machine Learning Engineer

Herndon, VA
onsite
Temporary / Contract
70 - 75 USD / Hourly
Machine Learning EngineerPay: $70-75/hr, available solely on W2 BasisConsultant I (Contractor)Work Location: Reston, VA (4x onsite)Engagement 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>
2026-08-17T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 260000 USD / Yearly
RESPONSIBILITIES: ML Model Deployment & Platform Management • Lead the design, implementation, and ongoing maintenance of scalable ML infrastructure on Databricks, including ML flow for experiment tracking, model registry, and model serving endpoints. • Oversee the development of the ML Ops platform and automated pipelines for deploying, monitoring, and maintaining models within production environments. • Implement robust solutions for model versioning, systematic retraining, and comprehensive artifact management using Databricks Unity Catalog for ML governance. • Design and manage Databricks Feature Store for consistent feature engineering across training and inference pipelines. Generative AI & LLM Operations • Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research. • Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents. • Lead LLM fine-tuning and customization initiatives, training models like Claude or open-source alternatives with CIM proprietary data while ensuring data privacy and compliance. • Develop and optimize document processing pipelines including PDF parsing, chunking strategies, and embedding generation for RAG applications. • Implement prompt engineering best practices and LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy. • Build guardrails and safety measures for GenAI applications, including hallucination detection, output validation, and source attribution. Automation & CI/CD Pipelines • Design and implement extensive automation across the ML workflow, covering model training, testing, validation, and deployment using Databricks Workflows and Asset Bundles. • Set up robust CI/CD pipelines for both traditional ML models and GenAI applications, leveraging GitHub Actions, Azure DevOps, or similar tools. • Automate complex data and model workflows utilizing orchestration tools such as Airflow, Prefect, or Databricks Workflows.
2026-07-29T00:00:00Z

Machine Learning Engineer

Menlo Park, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Machine Learning Engineer Company OverviewBased in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence. Role SummaryThe Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments. Key Responsibilities<ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul>Additional Details<ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</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

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

Business Intelligence (BI) Engineer

Greenville, SC
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is hiring! We are looking for a skilled Business Intelligence (BI) Engineer to join our team in Greenville, South Carolina. In this role, you will design and deliver high-performing, scalable, and secure BI solutions, enabling actionable insights across various business domains such as Policy, Claims, and Billing. You will collaborate with stakeholders and data engineering teams to build reusable models and optimize reporting solutions using industry-leading tools. Responsibilities:• Design and develop reporting solutions using data from multiple systems, including Policy, Claims, Billing, and third-party sources.• Create reusable semantic and data models to support enterprise-wide analytics.• Develop interactive dashboards and operational reports using tools such as Power BI and Cognos Analytics.• Implement security measures, including role-based and row-level access controls, for BI solutions.• Collaborate with stakeholders in Claims, Underwriting, and Finance to refine and standardize metrics.• Build and optimize semantic models and executive-level dashboards leveraging Azure Data Lake and Power BI.• Design star schemas for reporting and analytics, ensuring data lineage and governance.• Perform data validation and reconciliation to maintain accuracy and consistency of BI outputs.• Document data definitions, transformations, and business logic to support audit and regulatory reporting requirements.• Optimize report performance through advanced query tuning and aggregation strategies.
2026-08-04T00:00:00Z

Business Intelligence (BI) Engineer

Daytona Beach, FL
onsite
Permanent / Full Time
90000 - 130000 USD / Yearly
We are looking for a Business Intelligence (BI) Engineer to support data-driven decision-making within a healthcare organization in Daytona Beach, Florida. This position focuses on transforming complex data into meaningful dashboards, reports, and analytical insights that help teams improve performance and visibility. The ideal candidate brings strong experience with Microsoft Power BI and DAX, along with the ability to design scalable business intelligence solutions that meet operational needs. Responsibilities: • Build and maintain interactive dashboards, reports, and data visualizations using Microsoft Power BI to support clinical, operational, and business objectives. • Translate reporting needs into effective BI solutions by working closely with stakeholders to understand key metrics, trends, and performance indicators. • Develop data models and write DAX calculations that improve reporting accuracy, usability, and analytical depth. • Organize and optimize business intelligence assets to ensure reporting tools remain reliable, efficient, and easy to use. • Review data from multiple sources, identify inconsistencies, and help improve overall data quality within reporting environments. • Provide actionable insights through analysis of business and operational data to support planning and decision-making. • Document dashboard logic, reporting definitions, and technical processes to support consistency and long-term maintainability. • Assist with updates to reporting frameworks or BI processes when business intelligence platforms, tools, or internal systems evolve.
2026-08-12T00:00:00Z

Business Intelligence (BI) Engineer

Miami, FL
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
We are looking for an experienced Business Intelligence (BI) Engineer to design and enhance reporting solutions that help leaders make informed business decisions. This position will focus on building scalable dashboards, translating complex operational and financial data into clear insights, and supporting analysis across inventory, cost, and performance metrics. Based in North Miami Beach, Florida, the role requires strong expertise in Power BI and a practical understanding of enterprise data environments. Responsibilities: • Develop interactive Power BI dashboards and reporting frameworks that convert raw business data into meaningful, actionable insights. • Partner with finance, operations, and cross-functional stakeholders to define reporting needs and deliver analytics aligned with business priorities. • Create, optimize, and maintain data models, calculated measures, and visualizations using DAX and other BI best practices. • Analyze standard costing, variance trends, and inventory performance to support operational visibility and financial decision-making. • Integrate and interpret data from systems such as NetSuite to improve reporting accuracy and consistency across the organization. • Assess existing business intelligence processes and recommend improvements that strengthen reporting reliability and user adoption. • Support change management efforts related to reporting enhancements, new dashboards, and evolving analytics requirements. • Ensure data quality by validating source information, troubleshooting discrepancies, and refining reporting logic as needed.
2026-08-05T00:00:00Z

Business Intelligence (BI) Engineer

West Los Angeles, CA
onsite
Permanent / Full Time
150000 - 180000 USD / Yearly
We are looking for a Business Intelligence Engineer to help strengthen and scale a modern analytics environment in Los Angeles, California. This position will focus on transforming raw data into dependable business insights through thoughtful modeling, reliable pipelines, and well-designed reporting solutions. The ideal candidate brings strong experience with Snowflake, dbt, and Power BI, along with the ability to translate complex operational data into clear metrics that support leadership and cross-functional teams. Responsibilities: • Design and maintain semantic models that support reporting needs across operational and executive audiences. • Build scalable dimensional and subject-focused data models that reflect key business areas such as sales, marketing, finance, compliance, and contact center performance. • Define and standardize metrics, calculation logic, and KPI frameworks to improve consistency across dashboards and analytics outputs. • Develop transformation workflows in Snowflake using dbt, organizing data into staging, core, and presentation-ready layers. • Establish and enhance testing practices to validate schema integrity, data accuracy, and business rule alignment. • Oversee scheduling and orchestration of data workflows to support dependable movement from ingestion through reporting delivery. • Investigate source data issues through profiling and discovery, identifying gaps that affect reporting quality and downstream trust. • Create and improve Power BI dashboards that present actionable insights for stakeholders across the organization.
2026-07-29T00:00:00Z

DevOps Engineer

Albany, NY
onsite
Permanent / Full Time
90000 - 110000 USD / Yearly
We are looking for a DevOps Engineer to support and optimize infrastructure operations for a complex technical environment in Albany, New York. This role focuses on building reliable deployment processes, maintaining secure and scalable platforms, and improving system performance across on-premises and cloud-based resources. The ideal candidate brings strong hands-on experience with containerization, orchestration, automation, and modern CI/CD practices.
2026-08-13T00:00:00Z

DevOps Engineer

San Francisco, CA
onsite
Permanent / Full Time
180000 - 215000 USD / Yearly
We are looking for a Senior or Staff DevOps Engineer to strengthen our engineering organization in San Francisco, California. In this role, you will improve the foundation that supports application delivery, platform reliability, and developer productivity across cloud-based systems. You will work closely with engineering partners to create scalable infrastructure, streamline release processes, and build dependable operational practices that support continued growth. Responsibilities:• Architect and maintain cloud infrastructure using infrastructure-as-code practices that promote consistency, scalability, and operational simplicity.• Create and refine automated delivery pipelines to support dependable, efficient releases across multiple services and environments.• Establish repeatable deployment approaches for serverless applications, container-based platforms, and orchestrated workflows.• Build internal automation and developer tools that reduce manual effort and help backend and machine learning teams work more efficiently.• Enhance development, testing, and staging environments to improve workflow speed and reduce friction during software delivery.• Define strong monitoring and observability practices across logs, metrics, and tracing to improve system visibility and troubleshooting.• Investigate reliability, latency, and performance issues in distributed environments and partner with engineers to implement lasting improvements.• Strengthen operational readiness by supporting incident response, contributing to post-incident reviews, and turning findings into better tooling and processes.• Integrate security and compliance controls into infrastructure and deployment workflows, including access management, patching, and vulnerability remediation.
2026-08-11T00:00:00Z

Cloud Engineer

Deerfield Beach, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
Cloud EngineerWe are seeking a talented Cloud Engineer to join our infrastructure team. This role is ideal for someone who enjoys building cloud-based solutions, optimizing deployments, and supporting scalable, secure environments. The ideal candidate will have strong problem-solving abilities, excellent communication skills, and a solid foundation in cloud architecture with room to grow into more advanced engineering responsibilities.Responsibilities<ul><li>Deploy, configure, and manage cloud resources across Azure, AWS, and/or GCP</li><li>Implement cloud security controls including IAM/RBAC permissions, encryption, policies, and MFA</li><li>Build and maintain Infrastructure-as-Code templates using Terraform, ARM/Bicep, or CloudFormation</li><li>Support CI/CD pipelines and automated deployments for application and infrastructure releases</li><li>Monitor cloud performance, availability, cost usage, and alerts using native tools</li><li>Troubleshoot cloud networking issues including firewalls, VNETs/VPCs, routing, gateways, and load balancers</li><li>Support containerized workloads using Docker and Kubernetes</li><li>Collaborate with developers, DevOps teams, and systems administrators on cloud projects</li><li>Document cloud architectures, procedures, and operational guidelines</li><li>Assist with cloud migrations, modernization initiatives, and optimization efforts</li></ul>
2026-08-18T00:00:00Z

Cloud Engineer

Livonia, MI
onsite
Temporary / Contract
42.75 - 49.5 USD / Hourly
We are looking for a Cloud Engineer to support and enhance a cloud-first environment in Livonia, Michigan. This Long-term Contract position is centered on Azure engineering, with a strong emphasis on secure cloud applications, identity management, endpoint administration, and platform optimization. The person in this role will serve as the primary Azure specialist, partnering with technical teams to deliver infrastructure improvements, strengthen security controls, and maintain reliable cloud operations. Responsibilities: • Lead Azure-focused engineering efforts for cloud applications and infrastructure initiatives across the environment. • Configure and improve identity and access controls, including conditional access policies and authentication enhancements such as passkey adoption. • Administer and optimize Microsoft Intune to support endpoint management, policy enforcement, and device security standards. • Work within Microsoft Defender and related security tools to strengthen protection, monitor risks, and support remediation activities. • Build and manage Azure virtual machines and ensure network security groups are properly applied to meet security and connectivity requirements. • Support server migration activities into Azure by planning, provisioning, and validating cloud-based resources. • Prepare recurring cloud cost analysis and usage reporting to help monitor spending and improve resource efficiency. • Collaborate with internal teams to maintain a secure, scalable, and well-governed Azure environment while acting as the primary Azure subject matter expert.
2026-08-19T00:00:00Z

Cloud Engineer

Chicago, IL
onsite
Permanent / Full Time
155000 - 165000 USD / Yearly
We are looking for a Cloud Engineer to support and enhance cloud-based infrastructure in Chicago, Illinois. This role focuses on building reliable AWS environments, improving automation, and helping teams maintain scalable and secure systems. The ideal candidate brings hands-on experience with core AWS services and infrastructure-as-code tools to deliver efficient cloud operations. Responsibilities: • Design, deploy, and maintain cloud infrastructure within AWS to support application performance, reliability, and growth • Build and manage automated provisioning and configuration workflows using Ansible and related tools • Configure and optimize Amazon EC2 environments to meet availability, security, and cost-efficiency goals • Implement and manage Auto Scaling strategies to ensure systems can respond effectively to changing workload demands • Monitor cloud resources, troubleshoot infrastructure issues, and resolve operational problems in a timely manner • Collaborate with engineering and operations teams to improve deployment processes and strengthen platform stability • Apply cloud security and governance best practices across infrastructure components and access controls
2026-08-05T00:00:00Z

Cloud Engineer

Lehi, UT
remote
Permanent / Full Time
160000 - 180000 USD / Yearly
We are looking for an experienced Cloud Engineer to lead the design, reliability, and ongoing improvement of cloud infrastructure. This role focuses on building secure, resilient, and high-performing AWS environments while partnering closely with engineering and operations teams to support critical systems. The ideal candidate brings strong hands-on expertise in infrastructure automation, observability, and incident management, along with the ability to drive operational excellence across a modern cloud platform. Responsibilities:• Manage and enhance AWS core infrastructure components, including VPCs, Route 53, CDNs, load balancers, and EC2 services, to support secure and highly available operations.• Build and refine multi-zone disaster recovery and resiliency solutions, and validate recovery readiness through recurring testing and review.• Respond to production issues with cross-functional teams by diagnosing failures, identifying root causes, and implementing long-term corrective measures.• Develop and maintain observability practices using tools such as CloudWatch and Datadog, including logging, metrics, dashboards, and alerting.• Evaluate cloud environments for performance, scalability, and cost improvements, and recommend changes that strengthen operational efficiency.• Create and support infrastructure automation using Terraform, CloudFormation, or AWS CDK to standardize provisioning and configuration management.• Improve deployment workflows by contributing to CI/CD pipelines and automation processes using tools such as GitHub Actions, Harness, or similar platforms.• Maintain clear technical documentation for infrastructure designs, configurations, procedures, and support practices.• Partner with developers, system administrators, and security stakeholders to align cloud architecture with business and technical requirements.
2026-08-03T00:00:00Z

Cloud Engineer

Rosemead, CA
onsite
Permanent / Full Time
155000 - 160000 USD / Yearly
Job TitleDevOps Engineer Company OverviewA leading enterprise organization in the consumer and retail services sector, based in San Gabriel Valley, California, is focused on delivering scalable, secure, and innovative technology solutions across a large, distributed environment. The company is committed to modernizing its infrastructure through cloud adoption, automation, and advanced identity management, enabling high-performance operations and long-term growth. Role SummaryThe Senior Cloud Solutions Architect will lead the design, implementation, and governance of enterprise cloud architecture in San Gabriel Valley, California. This role serves as a strategic and hands-on technical leader responsible for driving cloud transformation, identity management, and infrastructure modernization across hybrid and multi-cloud environments. The position partners closely with cross-functional teams to ensure solutions are scalable, secure, and aligned with business objectives. Key Responsibilities<ul><li>Design and implement enterprise cloud architecture across Azure, AWS, and hybrid environments</li><li>Define architecture standards, frameworks, and best practices for scalable and secure cloud solutions</li><li>Lead cloud migration, modernization, and cloud-native initiatives across business platforms</li><li>Architect and manage identity systems, including Active Directory and cloud-based identity services</li><li>Oversee design, governance, and optimization of enterprise productivity and collaboration platforms</li><li>Drive adoption of Infrastructure as Code (IaC), automation, and DevOps best practices</li><li>Partner with security teams to ensure compliance with industry standards and secure design principles</li><li>Collaborate with engineering and finance teams to optimize cloud performance, scalability, and cost</li><li>Provide technical leadership, mentorship, and architectural guidance across teams</li><li>Evaluate emerging technologies and recommend strategies for continuous improvement and innovation</li></ul>Compensation & Benefits<ul><li>$155,000 - $160,000 plus discretionary bonus and stock</li><li>Comprehensive medical, dental, and vision coverage with strong employer contribution</li><li>Retirement savings plan with company match</li><li>Employee discounts and additional wellness-focused benefits</li><li>Competitive total rewards package with long-term growth opportunity</li></ul>Additional Details<ul><li>4x per week onsite in San Gabriel Valley</li><li>Flexible start times to support work-life balance</li><li>High-impact role working closely with infrastructure leadership</li><li>Opportunity to shape enterprise cloud strategy in a large-scale environment</li></ul>
2026-08-19T00:00:00Z

Cloud Engineer

Herndon, VA
onsite
Permanent / Full Time
150000 - 185000 USD / Yearly
We are looking for a Cloud Engineer to help create resilient, modern cloud solutions that support large-scale, event-driven workloads in Northern, Virginia. This position combines technical architecture, hands-on engineering, and close collaboration with stakeholders to deliver secure, high-performing systems. The role is ideal for someone who can balance strategic thinking with practical execution while guiding teams and strengthening client partnerships. Responsibilities:• Create and refine cloud-native, serverless solutions designed to support high-throughput data processing and event-based applications.• Work directly with stakeholders to understand operational goals, identify limitations, and recommend effective technical approaches.• Provide technical guidance to decision-makers by evaluating options, outlining risks, and helping resolve complex engineering issues.• Build trusted relationships with clients and contribute to team growth through mentorship, collaboration, and technical leadership.• Remain actively involved in delivery by participating in architecture reviews, overseeing implementation quality, and developing prototypes when needed.• Investigate production issues and optimize system reliability, scalability, and overall performance across cloud environments.
2026-08-04T00:00:00Z

Cloud Engineer

Oklahoma City, OK
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a Senior Cloud Engineer to join a collaborative team supporting strategic cloud initiatives in Oklahoma City, Oklahoma. This Long-term Contract opportunity is ideal for an experienced cloud professional who excels at designing scalable infrastructure, driving automation, and leading cloud modernization efforts across enterprise environments. The role offers the opportunity to influence cloud strategy, architect platform solutions, and contribute to emerging technologies, including AI-enabled capabilities. Responsibilities:• Support the implementation, configuration, and ongoing maintenance of cloud infrastructure across enterprise environments.• Develop and refine Infrastructure as Code solutions using Terraform to create consistent and repeatable deployments.• Partner with technical teams to establish cloud architecture patterns, governance practices, and secure platform foundations.• Contribute to workload modernization and migration efforts as applications and services evolve within the cloud ecosystem.• Assist with CI/CD improvements by helping enhance automation workflows and supporting the use of GitHub-based delivery pipelines.• Participate in building a new data platform that incorporates modern cloud services and AI-oriented capabilities.• Create scripts and automated processes that streamline operations, reduce manual effort, and improve reliability.• Work closely with infrastructure, application, and data stakeholders to deliver scalable, resilient, and secure cloud solutions.• Help monitor platform health, support operational excellence initiatives, and strengthen overall service stability.
2026-08-19T00:00:00Z

Cloud Engineer

Milwaukee, WI
onsite
Permanent / Full Time
120000 - 160000 USD / Yearly
We are seeking an experienced Cloud Engineer to provide day-to-day operational support for our enterprise network and cloud infrastructure. This role is essential to maintaining the performance, security, and reliability of our hybrid environment, which spans both on-premises systems and Azure cloud services. The ideal candidate will have strong hands-on experience with Azure networking, security, and infrastructure components, and will be responsible for monitoring, troubleshooting, and optimizing cloud and network operations. You’ll collaborate closely with infrastructure and security teams to ensure seamless connectivity, secure access, and efficient resource management across the organization. This position operates within an Agile environment, so familiarity with Agile methodologies is important. The candidate should be comfortable participating in daily stand-ups, weekly sprint planning, and regular retrospectives, contributing to a fast-paced and collaborative team culture focused on continuous improvement and delivery. What you will do: Provide operational support for enterprise network infrastructure (on-prem and Azure) Manage Azure components: VNets, NSGs, Application Gateways, Azure Firewall, ExpressRoute Operate and enhance an Azure Hub-and-Spoke landing zone (VNets/Subnets, NSGs/ASGs, UDRs, routing). Administer Azure Firewall policies, forced routing/egress control, and logging/diagnostics. Implement and maintain Private Endpoints/Private Link and Private DNS Zones for private-only service access. Manage hybrid connectivity and remote access using VPN Gateway (Site-to-Site + Point-to-Site) and ExpressRoute (if applicable). Monitor and troubleshoot network and connectivity using Azure Monitor, Log Analytics, and Network Watcher. Own Disaster Recovery and Backup using Recovery Services Vault (Azure Backup + Azure Site Recovery), including DR testing and runbooks. Drive secure-by-default cloud networking standards, documentation, and continuous optimization. Collaborate with infrastructure and security teams on changes, upgrades, patching, and incident response. What you will need: Around 5+ years in a Network Engineer or similar role Strong understanding of TCP/IP, LAN/WAN, DNS, DHCP, VLANs, routing protocols (BGP, OSPF), IPsec VPN Hands-on Azure networking: VNets, NSGs, UDRs, Azure Firewall, Application Gateway/WAF, VPN Gateway (P2S/S2S), Private Link/DNS. DR/BC experience with Recovery Services Vault, Azure Backup policies/restores, and Azure Site Recovery failover/failback. Virtualization: VMware, Pure Storage, Windows/Linux Security: Sentinel One, DUO VPN/Remote Access: Ivanti Familiarity with Azure Monitor, Network Watcher, Wireshark Experience with ARM templates or Terraform is a plus Current authorization to work in the United States without the need for visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN, O-1, I-485J portability, etc. What we offer you: Competitive bonus program Medical/Dental/Vision insurance, Life Insurance, Disability, Health Savings Account, Dependent Care Reimbursement, Commuter Benefits, 401k match program, and voluntary insurance options Generous time off/flexible work arrangements Reimbursement for admission fees and study material for professional designations
2026-08-14T00:00:00Z

Cloud Engineer

Portland, OR
onsite
Temporary / Contract
80 - 90 USD / Hourly
Robert Half is seeking an experienced Cloud Engineer to support the design, implementation, and optimization of enterprise cloud infrastructure. This role will focus on developing scalable, reliable, and secure cloud solutions that support business-critical applications and services. The ideal candidate will have strong experience across public cloud platforms, infrastructure automation, and cloud operations. Location: Hybrid in Portland (Pay to Park)Duration: 6 months with potential to extend/convertSchedule: Monday-Thursday (Onsite), Fridays (Remote) - 8am-5pm PST Key Responsibilities:<ul><li>Participate in the architecture, design, and implementation of cloud solutions that meet scalability, performance, security, and reliability requirements.</li><li>Collaborate with technical and non-technical stakeholders to understand business needs and translate requirements into cloud-based solutions.</li><li>Promote best practices across cloud architecture, infrastructure management, security, and operational processes.</li><li>Enable teams to effectively leverage cloud resources while balancing performance, scalability, cost optimization, compliance, and security requirements.</li><li>Drive improvements through automation, Infrastructure as Code (IaC), monitoring, logging, troubleshooting, and operational excellence initiatives.</li><li>Implement and maintain CI/CD pipelines and automated deployment processes.</li><li>Develop and enhance cloud standards, policies, procedures, and governance frameworks.</li><li>Stay current on emerging cloud technologies and industry best practices, recommending improvements that increase efficiency, security, and platform maturity.</li><li>Support cloud infrastructure troubleshooting, performance tuning, and incident resolution.</li></ul>
2026-08-20T00:00:00Z

Data & ML Platform Engineer Manager

Inglewood, CA
onsite
Permanent / Full Time
180000 - 200000 USD / Yearly
Job TitleManager, Data & Machine Learning Platform Engineer Company OverviewA leading organization in the sports and entertainment industry is redefining the live event and fan engagement experience through data and AI. By leveraging cutting-edge technology and advanced analytics, the organization is building innovative platforms that deliver personalized, seamless experiences for millions of fans. Role SummaryThis Los Angeles-based role is a hands-on opportunity for a Manager, Data & Machine Learning Platform Engineer to design and build end-to-end data and ML systems that power intelligent products across fan engagement, marketing, and operations. Acting as an individual contributor, you will own the full lifecycle of data and machine learning platforms—from data ingestion to real-time model deployment—enabling scalable, production-ready AI solutions. Key Responsibilities<ul><li>Design, build, and maintain scalable data pipelines and ML platform infrastructure for analytics and AI use cases</li><li>Own the end-to-end lifecycle of data and ML systems, including ingestion, transformation, feature engineering, deployment, and monitoring</li><li>Develop and optimize data models and schemas to support both batch and real-time workflows</li><li>Build and manage feature pipelines and enable low-latency access for real-time decisioning systems</li><li>Deploy machine learning models into production via APIs and real-time inference services</li><li>Implement CI/CD pipelines for machine learning workflows, including testing, versioning, and automated deployment</li><li>Establish monitoring systems to track data quality, model performance, and system reliability</li><li>Enable experimentation frameworks such as A/B testing to support data-driven product iteration</li><li>Collaborate cross-functionally with data scientists, product teams, and business stakeholders to deliver impactful AI solutions</li><li>Drive architectural decisions and promote best practices in data engineering and MLOps</li></ul>Compensation & Benefits<ul><li>$180,000 – $200,000</li><li>Comprehensive benefits package including medical, dental, and vision coverage</li><li>401(k) with company contribution</li><li>Annual wellbeing allowance</li><li>Flexible paid time off and parental leave</li><li>Company-paid life and disability insurance</li><li>Mental health and wellness support programs</li><li>Flexible spending accounts and family planning assistance</li></ul>Additional Details<ul><li>Work model: Hybrid (4 days onsite per week)</li><li>Core working hours with flexibility</li><li>Individual contributor role (no direct reports)</li><li>High-impact role contributing to enterprise-wide AI initiatives</li></ul>
2026-08-13T00:00:00Z

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