Search jobs now Find the right job type for you Create a job alert Explore how we help job seekers Contract talent Permanent talent Learn how we work with you Executive search Finance and Accounting Technology Marketing and Creative Legal Administrative and Customer Support Technology Risk, Audit and Compliance Finance and Accounting Digital, Marketing and Customer Experience Legal Operations Human Resources 2026 Salary Guide Demand for Skilled Talent Report Job Market Outlook Press Room Tech insights Labor market overview AI in recruiting Navigating the AI era Staffing for small businesses Cost of a bad hire Browse jobs Find your next hire Our locations

Add your latest resume to match with open positions.

146 results for Azure Data Engineer in Usa

Data Engineer
  • Carmel, IN
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for a skilled Data Engineer to join our team in Carmel, Indiana. In this long-term contract role, you will design, build, and optimize data pipelines and systems to support business needs. The ideal candidate will bring expertise in data engineering tools and frameworks, along with a passion for solving complex challenges.<br><br>Responsibilities:<br>• Develop and maintain robust data pipelines using modern frameworks and tools.<br>• Implement ETL processes to ensure accurate and efficient data transformation.<br>• Optimize data storage and retrieval systems for performance and scalability.<br>• Collaborate with cross-functional teams to understand data requirements and deliver solutions.<br>• Utilize Apache Spark and Hadoop for large-scale data processing.<br>• Work with Databricks to streamline data workflows and enhance analytics.<br>• Apply machine learning techniques using tools like scikit-learn and Pandas.<br>• Integrate Kafka for real-time data streaming and processing.<br>• Analyze and troubleshoot data-related issues to ensure system reliability.<br>• Document processes and workflows to support future development and maintenance.
  • 2026-04-15T00:00:00Z
Data Engineer
  • Cleveland, OH
  • onsite
  • Permanent / Full Time
  • 120000 - 130000 USD / Yearly
  • <p>We are looking for an experienced Data Engineer to join our team in Cleveland, Ohio. In this role, you will design, implement, and optimize data solutions that support business intelligence and analytics needs. If you have a passion for working with cutting-edge technologies and thrive in a fast-paced environment, this opportunity is for you.</p><p><br></p><p>Responsibilities:</p><p>• Develop and refine data models to ensure optimal performance and scalability.</p><p>• Design and implement data warehouse solutions for managing structured and unstructured data.</p><p>• Create and maintain data integration processes to support analytics and data-driven applications.</p><p>• Establish robust data quality and validation protocols to guarantee accuracy and consistency.</p><p>• Collaborate with business intelligence teams and stakeholders to gather requirements and deliver tailored solutions.</p><p>• Monitor and address issues within data pipelines, including performance bottlenecks and system errors.</p><p>• Research and adopt emerging technologies and best practices to enhance data engineering capabilities.</p>
  • 2026-04-07T00:00:00Z
Data Engineer
  • Charlotte, NC
  • remote
  • Permanent / Full Time
  • 0 - 0 USD / Yearly
  • <ul><li>Design, develop, and optimize data pipelines using Azure Data Services (Azure Data Factory, Azure Data Lake Storage, Azure Synapse).</li><li>Build and maintain scalable ETL/ELT workflows using Databricks (Spark, PySpark, Delta Lake).</li><li>Implement and manage data orchestration and dependency management using Dagster or similar tools.</li><li>Partner with analytics, data science, and product teams to ensure reliable, high-quality data availability.</li><li>Optimize data models and storage strategies for performance, scalability, and cost efficiency.</li><li>Ensure data quality, observability, and reliability through monitoring, logging, and automated validation.</li><li>Support CI/CD pipelines and infrastructure-as-code practices for data platforms.</li><li>Enforce data security, governance, and compliance best practices within Azure.</li></ul>
  • 2026-04-22T00:00:00Z
Data Engineer
  • Grandville, MI
  • remote
  • Temporary to Hire
  • 40 - 55 USD / Hourly
  • We are looking for a skilled Data Engineer to join our team in Wyoming, Michigan. This Contract to permanent role offers an exciting opportunity to design, manage, and optimize data architecture and engineering solutions across a dynamic healthcare organization. The ideal candidate will play a key role in ensuring efficient data governance and infrastructure performance while collaborating with cross-functional teams.<br><br>Responsibilities:<br>• Develop and maintain robust data architectures and frameworks, including relational and graph databases, to meet business objectives.<br>• Create and manage data pipelines to extract, transform, and load data from various sources into data warehouses.<br>• Ensure data governance policies are implemented and monitored, including retention and backup protocols.<br>• Collaborate with teams across departments to translate business requirements into technical specifications.<br>• Monitor and optimize the performance of data assets, identifying opportunities for improvement.<br>• Design scalable and secure data solutions using cloud-based platforms like AWS and Microsoft Azure.<br>• Implement advanced tools and technologies, such as AI, to enhance data analytics and processing capabilities.<br>• Mentor and support team members by sharing technical expertise and providing guidance.<br>• Establish key performance indicators (KPIs) to measure database performance and drive continuous improvement.<br>• Stay up to date with emerging trends and advancements in data engineering and architecture.
  • 2026-04-24T00:00:00Z
Data Engineer
  • Jacksonville, FL
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p>Seeking a Data Engineer to build and maintain data pipelines and reporting systems.</p><p><strong>Responsibilities</strong></p><ul><li>Design and maintain ETL processes</li><li>Work with large datasets in SQL</li><li>Optimize database performance</li><li>Support BI/reporting teams</li></ul><p><br></p>
  • 2026-05-05T00:00:00Z
Data Engineer
  • Woodland Hills, CA
  • onsite
  • Permanent / Full Time
  • 140000 - 170000 USD / Yearly
  • <p><strong>Data Engineer – CRM Integration (Hybrid in San Fernando Valley)</strong></p><p><strong>Location:</strong> San Fernando Valley (Hybrid – 3x per week onsite)</p><p><strong>Compensation:</strong> $140K–$170K annual base salary</p><p><strong>Job Type:</strong> Full Time, Permanent</p><p><strong>Overview:</strong></p><p>Join our growing technology team as a Data Engineer with a focus on CRM data integration. This permanent role will play a key part in supporting analytics and business intelligence across our organization. The position offers a collaborative hybrid environment and highly competitive compensation.</p><p><strong>Responsibilities:</strong></p><ul><li>Design, develop, and optimize data pipelines and workflows integrating multiple CRM systems (Salesforce, Dynamics, HubSpot, Netsuite, or similar).</li><li>Build and maintain scalable data architectures for analytics and reporting.</li><li>Manage and advance CRM data integrations, including real-time and batch processing solutions.</li><li>Deploy ML models, automate workflows, and support model serving using Azure Databricks (ML Flow experience preferred).</li><li>Utilize Azure Synapse Analytics &amp; Pipelines for high-volume data management.</li><li>Write advanced Python and Spark SQL code for ETL, transformation, and analytics.</li><li>Collaborate with BI and analytics teams to deliver actionable insights using PowerBI.</li><li>Support streaming solutions with technologies like Kafka, Event Hubs, and Spark Streaming.</li></ul><p><br></p>
  • 2026-04-03T00:00:00Z
AWS Platform Engineer
  • Dallas, TX
  • onsite
  • Temporary / Contract
  • 45 - 53 USD / Hourly
  • <p><strong>Platform Engineer – Data Science Platform</strong></p><p><strong>13 Week Contract to Hire </strong></p><p><strong>Onsite Hybrid: </strong>Columbus, OH or Dallas, TX or Minneapolis, MN</p><p><strong>Pay: </strong>Available on W2</p><p><strong>Job Summary</strong></p><p>We are seeking an experienced <strong>Platform Engineer</strong> to join a growing Platform Engineering team responsible for supporting and evolving a modern <strong>Data Science platform</strong>. This role focuses on building, managing, and securing cloud-based infrastructure that enables Data Science and AI/ML teams to operate efficiently at scale. The ideal candidate brings strong AWS expertise, hands-on infrastructure automation experience, and the ability to collaborate across technical and business teams.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Support and maintain ongoing <strong>Data Science infrastructure operations</strong></li><li>Design, build, and deploy <strong>AWS environments</strong> using automated <strong>CI/CD pipelines</strong></li><li>Manage and scale large, secure cloud environments to support current and future Data Science initiatives</li><li>Implement, own, and improve the <strong>image management lifecycle process</strong></li><li>Assist with the setup and ongoing management of <strong>AWS accounts</strong> dedicated to the Data Science platform</li><li>Develop and maintain infrastructure pipelines using <strong>CI/CD tools</strong> (e.g., Azure DevOps)</li><li>Build and manage environments using <strong>Infrastructure as Code (IaC)</strong> tools such as <strong>Terraform</strong></li><li>Develop scripts and applications using programming languages such as <strong>Python</strong></li><li>Manage and support database technologies including <strong>Athena, Oracle, MySQL, and PostgreSQL</strong></li><li>Leverage AWS services to enable <strong>Data Lake, Data Science, and AI/ML workloads</strong></li><li>Respond to requests from development and business users, removing technical roadblocks</li><li>Manage secured infrastructure environments, applying security controls and guardrails</li><li>Identify, remediate, and track infrastructure vulnerabilities within defined SLAs</li><li>Maintain audit logs and support compliance-related needs</li><li>Perform system upgrades, patching, and provide <strong>on-call support</strong> as required</li><li>Conduct root cause analysis and knowledge transfer sessions with internal teams</li><li>Collaborate closely with <strong>Network, Database, Infrastructure, and Architecture teams</strong> to align on platform strategy and delivery</li></ul>
  • 2026-04-15T00:00:00Z
Data Engineer - Python
  • Houston, TX
  • onsite
  • Permanent / Full Time
  • 110000 - 160000 USD / Yearly
  • <p>We are seeking a talented and motivated Python Data Engineer to join our global team. In this role, you will be instrumental in expanding and optimizing our data assets to enhance analytical capabilities across the organization. You will collaborate closely with traders, analysts, researchers, and data scientists to gather requirements and deliver scalable data solutions that support critical business functions.</p><p><br></p><p>Responsibilities</p><ul><li>Develop modular and reusable Python components to connect external data sources with internal systems and databases.</li><li>Work directly with business stakeholders to translate analytical requirements into technical implementations.</li><li>Ensure the integrity and maintainability of the central Python codebase by adhering to existing design standards and best practices.</li><li>Maintain and improve the in-house Python ETL toolkit, contributing to the standardization and consolidation of data engineering workflows.</li><li>Partner with global team members to ensure efficient coordination and delivery.</li><li>Actively participate in internal Python development community and support ongoing business development initiatives with technical expertise.</li></ul>
  • 2026-04-03T00:00:00Z
Cloud Engineer/Architect
  • Cincinnati, OH
  • remote
  • Permanent / Full Time
  • 130000 - 170000 USD / Yearly
  • We are looking for an experienced Cloud Engineer/Architect to join our team in Cincinnati, Ohio. In this role, you will ensure the security, scalability, and reliability of our technology environment while aligning technical capabilities with business objectives. This position offers an exciting opportunity to lead architectural decisions and drive innovative solutions that support our consulting delivery and emerging technologies.<br><br>Responsibilities:<br>• Develop and maintain a comprehensive IT roadmap that aligns with organizational growth, consulting needs, and advancements in technology such as AI-enabled services.<br>• Define and enforce technology standards, including Microsoft 365 tenant architecture, identity access models, endpoint configurations, and environment separations.<br>• Oversee risk management efforts, addressing IT risks, and implementing effective remediation strategies.<br>• Govern demo-tenant environments ensuring they are separate from corporate systems and compliant with client and regulatory standards.<br>• Lead responses to major incidents, security breaches, or significant technology failures by coordinating efforts and communicating with leadership.<br>• Collaborate with cross-functional teams, including Security and Legal, to articulate technology risks, trade-offs, and investment priorities in business terms.<br>• Manage cloud-based systems to optimize performance and ensure seamless integration across platforms.<br>• Develop and maintain isolated environments for client demos and prototypes, ensuring functionality and security.<br>• Implement and monitor security and compliance measures, ensuring adherence to industry standards.<br>• Oversee SaaS vendor management, including subscription oversight, license renewals, and vendor relationships.
  • 2026-04-14T00:00:00Z
Certified Azure Virtual Desktop Senior Engineer
  • Jacksonville, FL
  • onsite
  • Permanent / Full Time
  • 0 - 0 USD / Yearly
  • <p>The Senior Azure Virtual Desktop (AVD) Engineer is a key technical expert within IT Operations, responsible for designing, deploying, and supporting Azure Virtual Desktop and associated cloud infrastructure services. This senior role calls for deep technical skills, strong operational processes, and a focus on effective customer engagement to support a wide range of users including clinicians, analysts, executives, and technical staff.</p><p>Working as part of the IT operations team, the Senior AVD Engineer collaborates with application owners, physicians, business leaders, and executives to ensure the delivery of reliable, scalable, and secure virtual desktop and remote application solutions across the organization.</p><p>Based on general knowledge.</p>
  • 2026-05-04T00:00:00Z
Data Automation Engineer
  • Houston, TX
  • remote
  • Temporary / Contract
  • 39 - 44 USD / Hourly
  • <p>Position Overview</p><p>We are seeking a delivery‑focused Data Automation Engineer to design and implement innovative automation solutions across a Microsoft Azure‑based data analytics platform. This role partners closely with engineering teams and stakeholders to translate business requirements into scalable data engineering and AI‑enabled solutions.</p><p>The ideal candidate is hands‑on with Azure Data Factory, Synapse Pipelines, Apache Spark, Python, and SQL, and brings experience building reliable ETL pipelines across SQL and NoSQL environments. This role emphasizes performance optimization, automation, and proactive data quality within Agile DevOps delivery models.</p><p><br></p><p>Key Responsibilities</p><p>Data Engineering &amp; Automation</p><ul><li>Develop high‑performance data pipelines using Azure Data Factory, Synapse Pipelines, Spark Notebooks, Python, and SQL.</li><li>Design ETL workflows supporting advanced analytics, reporting, and AI/ML use cases.</li><li>Implement data migration, integrity, quality, metadata, and security controls across pipelines.</li><li>Monitor, troubleshoot, and optimize pipelines for availability, scalability, and performance.</li></ul><p>Performance Testing &amp; Optimization</p><ul><li>Execute ETL performance testing and validate load performance against benchmarks.</li><li>Analyze pipeline runtime, throughput, latency, and resource utilization.</li><li>Support tuning activities (e.g., query optimization, partitioning, indexing).</li><li>Validate data completeness and consistency after high‑volume processing.</li></ul><p>Platform Collaboration &amp; DevOps Support</p><ul><li>Collaborate with DevOps and infrastructure teams to optimize compute, memory, and scaling.</li><li>Maintain versioning and configuration control across environments.</li><li>Support production, testing, development, and integration environments.</li><li>Actively participate in Agile delivery processes including Program Increment planning.</li></ul>
  • 2026-04-20T00:00:00Z
Data Warehouse Analyst
  • Princeton, NJ
  • onsite
  • Permanent / Full Time
  • 70000 - 80000 USD / Yearly
  • <p>We are looking for a skilled Data Warehouse Analyst to join our team in New Jersey. In this role, you will transform logistics challenges into actionable insights through advanced data analysis and reporting. By collaborating with cross-functional teams, you will play a pivotal role in enhancing operational efficiency and driving key business decisions.</p><p><br></p><p>Responsibilities:</p><p>• Collaborate with Operations, Transportation, and Finance teams to establish and refine KPIs that drive logistics and fulfillment performance.</p><p>• Develop and optimize labor planning and forecasting models for warehouse and delivery operations, partnering closely with recruitment teams.</p><p>• Analyze distribution and fulfillment data to uncover performance trends and identify cost-saving opportunities.</p><p>• Design and maintain dashboards and reports to provide real-time insights into logistics metrics, including delivery times, warehouse productivity, and route optimization.</p><p>• Automate reporting processes to improve accuracy and timeliness of operational data.</p><p>• Continuously enhance data integrity and streamline workflows to optimize logistics operations.</p><p>• Work on data modeling and warehousing projects to support scalable analytics and reporting solutions.</p><p>• Partner with stakeholders to deliver clear and actionable insights to improve decision-making processes.</p><p>• Investigate and implement tools and techniques to improve overall business intelligence capabilities.</p>
  • 2026-04-30T00:00:00Z
Database Platform Engineer
  • Eden Prairie, MN
  • remote
  • Permanent / Full Time
  • 140000 - 164000 USD / Yearly
  • Position: Database Platform Engineer<br>Location: Remote - Full Time | Direct Hire<br>Salary: $140,000 - 164,000 base + excellent benefits<br><br>*** 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. ***<br><br>This is not a traditional DBA. This is a:<br> Cloud‑native database platform engineer + architect + automation leader<br>Core Focus Areas<br> • AWS‑first database architecture (RDS, Aurora, PostgreSQL, DynamoDB, Redshift)<br> • Legacy → cloud modernization<br> • Microservice‑aligned data modeling &amp; DDD<br> • Performance, HA, DR, global resiliency<br> • Event‑driven data, CDC, real‑time streaming<br> • Infrastructure as Code &amp; CI/CD for databases<br> • Security, governance, compliance at scale<br> • Enablement of product &amp; engineering teams<br>What Makes This Role Special<br> • Embedded in a 0→1 product launch<br> • Think start-up like feel in a Fortune 500 financial sound and thriving organization<br> • Works directly with: <br> ○ Product Engineers<br> ○ Platform / DevOps<br> ○ Data Integration<br> • Owns foundational data platform standards<br> • Shapes how databases are built from day one<br> • AWS preferred even though enterprise is Azure<br>Reporting Line<br> • Reports to Sr Manager of Data Engineering &amp; Integration<br> • No direct reports (but strong mentorship &amp; tremendous opportunities for advancement)<br><br>*** 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 one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
  • 2026-04-14T00:00:00Z
Cloud Engineer
  • Falls Church, VA
  • onsite
  • Temporary / Contract
  • 60 - 110 USD / Hourly
  • <p>We are seeking a Cloud Engineer to support the design, deployment, and maintenance of cloud infrastructure across our environments. This role focuses on building reliable, secure, and scalable cloud solutions while assisting development and IT teams with day‑to‑day cloud operations.</p><p><strong>Responsibilities</strong></p><ul><li>Deploy, configure, and manage cloud resources in AWS/Azure/GCP.</li><li>Maintain CI/CD pipelines and automate infrastructure tasks using tools such as Terraform, CloudFormation, or similar.</li><li>Monitor system performance, reliability, cost, and security posture across cloud workloads.</li><li>Support containerized applications (Docker/Kubernetes) and troubleshoot environment issues.</li><li>Implement cloud security best practices, including IAM, logging, patching, and network controls.</li><li>Assist with incident response, cloud migrations, and environment optimization.</li><li>Collaborate with engineering and IT teams to support application deployments and cloud operations.</li></ul><p><br></p>
  • 2026-04-10T00:00:00Z
Cloud Engineer
  • Miami, FL
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p>Senior Cloud Engineer</p><p><strong>Location:</strong> Brickell, Miami, FL</p><p><strong>Work Model:</strong> Hybrid – 3 days onsite per week</p><p>Role Overview</p><p>The Senior Cloud Engineer designs, implements, and supports scalable, secure, and highly available cloud infrastructure. This role partners closely with Architecture, Security, DevOps, and Application teams to deliver modern cloud solutions while ensuring reliability, performance, and cost efficiency. The ideal candidate brings deep hands‑on cloud experience and strong problem‑solving skills in production environments.</p><p>Key Responsibilities</p><ul><li>Design, build, and maintain cloud infrastructure using best practices for security, scalability, and resiliency</li><li>Lead deployment and optimization of cloud services across compute, storage, networking, and identity</li><li>Implement and manage infrastructure as code (IaC) using tools such as Terraform, ARM, or CloudFormation</li><li>Support CI/CD pipelines and DevOps workflows in collaboration with engineering teams</li><li>Monitor cloud environments, troubleshoot performance issues, and ensure high availability</li><li>Partner with Information Security to implement identity, access management, logging, and compliance controls</li><li>Optimize cloud costs through capacity planning, automation, and usage analysis</li><li>Support cloud migrations from on‑premises or legacy environments</li><li>Create and maintain technical documentation, runbooks, and architectural diagrams</li><li>Mentor junior engineers and provide technical leadership on cloud initiatives</li></ul><p><br></p>
  • 2026-04-30T00:00:00Z
Cloud Engineer
  • Margate, FL
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p>The DevOps Engineer will design, build, and maintain secure, scalable, and highly available cloud infrastructure while accelerating delivery of features through automation, CI/CD, and observability. You’ll be a force multiplier for engineering teams, ensuring systems are fast, resilient, and easy to operate.</p><p> </p><p>Key Responsibilities:</p><ul><li>Build, expand, and optimize cloud infrastructure (AWS, GCP, or Azure) using Infrastructure as Code (Terraform, Pulumi, CloudFormation, CDK)</li><li>Design and implement CI/CD pipelines that enable multiple daily deployments with zero downtime (GitHub Actions, GitLab CI, ArgoCD, Jenkins, CircleCI)</li><li>Automate everything: configuration management (Ansible, Chef, Puppet), application deployments, self-healing systems, and security hardening</li><li>Own production reliability: monitoring, alerting, log management, and on-call response (Datadog, Prometheus+Grafana, New Relic, PagerDuty, Opsgenie)</li><li>Drive progressive delivery practices: blue-green, canary, feature flags, and rollback strategies</li><li>Perform capacity planning, cost optimization, and performance tuning across compute, storage, and networking</li><li>Collaborate in project planning to evaluate technical feasibility, risks, and delivery trade-offs</li><li>Harden systems and pipelines for security and compliance (IAM, Vault, Trivy, Snyk, OPA/Gatekeeper)</li><li>Document architectures, runbooks, and processes while mentoring engineers on DevOps best practices</li></ul><p><br></p>
  • 2026-04-30T00:00:00Z
Cloud Engineer
  • Baltimore, MD
  • onsite
  • Temporary / Contract
  • 60 - 110 USD / Hourly
  • <p>We are seeking a Cloud Engineer to support the design, deployment, and maintenance of cloud infrastructure across our environments. This role focuses on building reliable, secure, and scalable cloud solutions while assisting development and IT teams with day‑to‑day cloud operations.</p><p><strong>Responsibilities</strong></p><ul><li>Deploy, configure, and manage cloud resources in AWS/Azure/GCP.</li><li>Maintain CI/CD pipelines and automate infrastructure tasks using tools such as Terraform, CloudFormation, or similar.</li><li>Monitor system performance, reliability, cost, and security posture across cloud workloads.</li><li>Support containerized applications (Docker/Kubernetes) and troubleshoot environment issues.</li><li>Implement cloud security best practices, including IAM, logging, patching, and network controls.</li><li>Assist with incident response, cloud migrations, and environment optimization.</li><li>Collaborate with engineering and IT teams to support application deployments and cloud operations.</li></ul><p><br></p>
  • 2026-04-10T00:00:00Z
Cloud Engineer
  • Bethesda, MD
  • onsite
  • Temporary / Contract
  • 60 - 110 USD / Hourly
  • <p>We are seeking a Cloud Engineer to support the design, deployment, and maintenance of cloud infrastructure across our environments. This role focuses on building reliable, secure, and scalable cloud solutions while assisting development and IT teams with day‑to‑day cloud operations.</p><p><strong>Responsibilities</strong></p><ul><li>Deploy, configure, and manage cloud resources in AWS/Azure/GCP.</li><li>Maintain CI/CD pipelines and automate infrastructure tasks using tools such as Terraform, CloudFormation, or similar.</li><li>Monitor system performance, reliability, cost, and security posture across cloud workloads.</li><li>Support containerized applications (Docker/Kubernetes) and troubleshoot environment issues.</li><li>Implement cloud security best practices, including IAM, logging, patching, and network controls.</li><li>Assist with incident response, cloud migrations, and environment optimization.</li><li>Collaborate with engineering and IT teams to support application deployments and cloud operations.</li></ul><p><br></p>
  • 2026-04-10T00:00:00Z
Cloud Engineer
  • Barefoot Beach, FL
  • onsite
  • Temporary to Hire
  • 0 - 0 USD / Yearly
  • <p>We are looking for a Cloud Engineer to join our team in Fort Myers/Naples area in Florida. This is a contract to permanent position, fully onsite Monday to Friday.</p><p><br></p><p>Responsibilities:</p><ul><li>Review and design both high-level and detailed architecture.</li><li>Understand HERC business needs and identify necessary improvements in the AWS architecture to align with the AWS Well-Architected Framework and best practices.</li><li>Design, implement, and manage scalable, secure, and reliable cloud infrastructure on AWS.</li><li>Protect information, systems, and assets while delivering business value by advising best practices for the creation of a secure cloud environment.</li><li>Ensure that AWS architecture aligns with business needs and monitor performance for effective use of AWS resources.</li><li>Evaluate AWS products and services for impact on architecture and recommend adoption as necessary.</li><li>Advise application teams on deployment options and oversee provisioning of AWS architecture components.</li><li>Ensure development teams follow best practices and architectural standards.</li><li>Monitor and optimize cloud resources for performance, cost, and security</li></ul>
  • 2026-04-29T00:00:00Z
Cloud Engineer
  • Fort Lauderdale, FL
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p><strong>Cloud Engineer</strong></p><p>We are seeking a talented <strong>Cloud Engineer</strong> 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.</p><p><strong>Responsibilities</strong></p><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><p><br></p>
  • 2026-04-23T00:00:00Z
Cloud Engineer
  • Washington, DC
  • onsite
  • Temporary / Contract
  • 60 - 110 USD / Hourly
  • <p>We are seeking a Cloud Engineer to support the design, deployment, and maintenance of cloud infrastructure across our environments. This role focuses on building reliable, secure, and scalable cloud solutions while assisting development and IT teams with day‑to‑day cloud operations.</p><p><strong>Responsibilities</strong></p><ul><li>Deploy, configure, and manage cloud resources in AWS/Azure/GCP.</li><li>Maintain CI/CD pipelines and automate infrastructure tasks using tools such as Terraform, CloudFormation, or similar.</li><li>Monitor system performance, reliability, cost, and security posture across cloud workloads.</li><li>Support containerized applications (Docker/Kubernetes) and troubleshoot environment issues.</li><li>Implement cloud security best practices, including IAM, logging, patching, and network controls.</li><li>Assist with incident response, cloud migrations, and environment optimization.</li><li>Collaborate with engineering and IT teams to support application deployments and cloud operations.</li></ul><p><br></p>
  • 2026-04-10T00:00:00Z
Cloud Engineer
  • Jacksonville, FL
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p>Looking for a Cloud Engineer to design, implement, and support Azure-based infrastructure.</p><p><strong>Responsibilities</strong></p><ul><li>Build and maintain Azure cloud environments</li><li>Implement CI/CD pipelines</li><li>Manage infrastructure as code (Terraform)</li><li>Monitor performance and optimize systems</li></ul><p><br></p>
  • 2026-05-05T00:00:00Z
Cloud Engineer
  • Lehi, UT
  • remote
  • Permanent / Full Time
  • 160000 - 180000 USD / Yearly
  • <p>We are looking for an experienced Cloud Engineer to support and enhance a highly available cloud environment. This role focuses on strengthening infrastructure reliability, improving observability, and advancing automation across core AWS services. The ideal candidate brings deep hands-on expertise in cloud operations, disaster recovery planning, and DevOps practices, along with the ability to work effectively with engineering and security partners.</p><p><br></p><p>Responsibilities:</p><p>• Manage and improve cloud infrastructure components such as VPCs, DNS services, content delivery layers, load balancers, and compute resources to support secure and reliable operations.</p><p>• Build and maintain resilient architecture strategies across availability zones, including automated disaster recovery solutions and regular validation of recovery readiness.</p><p>• Respond to operational incidents by investigating issues, identifying root causes, and driving corrective actions that reduce recurrence and improve service stability.</p><p>• Establish and refine monitoring and observability capabilities using tools such as CloudWatch and Datadog, with a focus on logging, alerting, metrics, and trend analysis.</p><p>• Analyze infrastructure performance, capacity, and cost patterns to recommend and implement improvements that enhance scalability and efficiency.</p><p>• Create and support infrastructure-as-code solutions using tools such as Terraform or CloudFormation to standardize provisioning and configuration management.</p><p>• Strengthen deployment processes by developing and optimizing CI/CD workflows with platforms such as Harness, GitHub Actions, or similar pipeline tools.</p><p>• Maintain clear technical documentation covering architecture decisions, operational procedures, and environment configurations for ongoing team alignment.</p><p>• Partner with developers, system administrators, and security stakeholders to ensure cloud platforms meet operational, compliance, and business continuity need. </p>
  • 2026-05-01T00:00:00Z
Data Scientist
  • Atlanta, GA
  • onsite
  • Permanent / Full Time
  • 120000 - 140000 USD / Yearly
  • We are looking for a Data Scientist to join a fast-moving IT consulting environment in Atlanta, Georgia. This role focuses on turning complex data into practical business insights, with a strong emphasis on forecasting, predictive modeling, and customer-focused problem solving. The ideal candidate combines advanced machine learning expertise with hands-on data preparation skills and can clearly explain how analytical work influences end users and business outcomes.<br><br>Responsibilities:<br>• Build, validate, and refine forecasting and predictive models using Python and modern machine learning frameworks for business-driven use cases.<br>• Develop analytical solutions with tools such as scikit-learn, XGBoost, LightGBM, and time-series or deep learning methods based on project needs.<br>• Use Databricks and Apache Spark to process large datasets efficiently and support scalable model development workflows.<br>• Prepare, transform, and organize data by writing queries, performing ETL tasks, and improving data quality for downstream analysis.<br>• Translate technical findings into clear recommendations for clients and stakeholders, emphasizing business impact and user experience.<br>• Partner with customer-facing teams to define problem statements, shape data-driven approaches, and deliver actionable insights in a fast-paced setting.<br>• Apply product thinking when designing models and analytical outputs to ensure solutions align with customer needs and practical use.<br>• Contribute domain knowledge to projects involving retail or consumer goods data, helping tailor models to industry-specific patterns and challenges.
  • 2026-05-01T00:00:00Z
Data Scientist
  • Atlanta, GA
  • onsite
  • Permanent / Full Time
  • 100000 - 125000 USD / Yearly
  • <p>We are seeking a Data Scientist to support and enhance production analytics and machine learning solutions. This role focuses on improving model performance, scalability, and reliability while partnering with cross-functional teams to deliver impactful data-driven outcomes.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Develop, evaluate, and deploy machine learning and analytics solutions in production environments.</li><li>Analyze existing models and data workflows; identify opportunities for improvement and modernization.</li><li>Collaborate with product, engineering, and business teams to deliver scalable solutions.</li><li>Establish performance monitoring, testing, and iteration processes for continuous improvement.</li><li>Contribute to data pipeline development and ensure high-quality, reliable datasets.</li></ul><p><br></p>
  • 2026-04-24T00:00:00Z
1 3