We are looking for a PAM Engineer to join a financial services organization in Chicago, Illinois in a hybrid contract role with a path to permanent employment, working onsite two days per week and remotely three days. This position focuses on strengthening privileged access management capabilities by designing secure solutions, improving access governance, and supporting a resilient security platform. The ideal candidate brings hands-on experience with PAM technologies, a strong understanding of access control best practices, and the ability to collaborate effectively across technical teams.<br><br>Responsibilities:<br>• Design and advance privileged access management architecture that supports secure, scalable, and compliant access practices across the environment.<br>• Translate business and security needs into technical plans, detailed designs, and actionable implementation roadmaps for PAM solutions.<br>• Administer privileged accounts by applying best practices, improving service processes, and introducing automation where it adds efficiency and control.<br>• Define and maintain access policies, entitlement models, and user access controls to support least-privilege principles.<br>• Lead implementation activities for PAM platform configuration, deployment, maintenance, and ongoing health monitoring.<br>• Partner with cross-functional teams to strengthen PAM controls, address compliance expectations, and improve overall solution effectiveness.<br>• Create and maintain operational documentation, support procedures, and troubleshooting guidance for long-term platform support.<br>• Identify technical obstacles and operational risks, then drive resolution efforts to keep projects and security objectives on track.<br>• Establish secure session management capabilities and privileged workstation controls to better protect high-risk identities.
<p><strong>Machine Learning Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>Based 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.</p><p><br></p><p><strong>Role Summary</strong></p><p>The 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. </p><p><br></p><p><strong>Key Responsibilities</strong></p><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>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>
<p>We're looking for a hands-on SAN L3 Engineer to support and administer enterprise storage infrastructure in a high-availability production environment. This role is ideal for someone who enjoys solving complex storage issues, optimizing performance, and partnering with server, virtualization, and network teams to keep critical systems running smoothly.</p><p><br></p><p><strong>What You'll Be Doing</strong></p><ul><li>Provide Level 3 support for enterprise SAN and storage environments</li><li>Troubleshoot storage outages, performance bottlenecks, and connectivity issues</li><li>Manage Dell EMC PowerMax, Unity, and Data Domain platforms</li><li>Perform storage provisioning, LUN masking, zoning, replication, snapshots, and migrations</li><li>Support VMware environments, including vSphere, ESXi, and vCenter integrations</li><li>Monitor capacity, utilization, and storage health while identifying optimization opportunities</li><li>Partner with infrastructure, server, network, and application teams to resolve incidents</li><li>Participate in upgrades, patching, change management, and disaster recovery initiatives</li><li>Support backup and recovery operations and ensure business continuity readiness</li><li>Maintain storage documentation, SOPs, and operational runbooks</li><li>Participate in on-call support and critical incident response activities</li></ul><p><br></p>
<p>Robert Half is seeking an innovative <strong>AI Software Engineer</strong> to join our client's technology team. In this role, you will design, develop, and deploy AI-powered applications and services that leverage machine learning, large language models (LLMs), and modern cloud technologies. The ideal candidate combines strong software engineering fundamentals with hands-on experience building and integrating AI solutions into production environments. This position offers the opportunity to work on cutting-edge AI initiatives that drive automation, improve business processes, and create intelligent user experiences.</p><p><br></p><p>Key Responsibilities</p><ul><li><strong>AI Application Development:</strong> Design, build, and maintain AI-powered applications, APIs, and services using modern software development practices.</li><li><strong>LLM Integration:</strong> Develop solutions utilizing large language models (OpenAI, Anthropic, Gemini, Llama, etc.) through APIs, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques.</li><li><strong>Machine Learning Solutions:</strong> Build, train, evaluate, and deploy machine learning models to solve business challenges.</li><li><strong>Software Engineering:</strong> Develop scalable backend systems and microservices using languages such as Python, C#, Java, or JavaScript/TypeScript.</li><li><strong>Data Processing:</strong> Design data pipelines and workflows for collecting, transforming, and preparing data used in AI applications.</li><li><strong>Cloud Deployment:</strong> Deploy and manage AI workloads within cloud environments including AWS, Azure, or Google Cloud Platform.</li><li><strong>Model Optimization:</strong> Monitor AI system performance, improve model accuracy, optimize inference costs, and implement guardrails for reliability and security.</li><li><strong>Collaboration:</strong> Partner with product managers, data engineers, data scientists, and business stakeholders to deliver AI solutions aligned with organizational goals.</li><li><strong>Documentation:</strong> Create and maintain technical documentation for AI architectures, workflows, APIs, and deployment processes.</li><li><strong>Research & Innovation:</strong> Stay current on emerging AI technologies, frameworks, and industry best practices.</li></ul><p><br></p>
<p>We are looking for a skilled AI Software Engineer to join our team in Phoenix, Arizona. In this long-term contract role. We want a full-stack software engineer who ships at AI speed without giving up engineering judgment. You'll use AI coding agents as your main tool, and you'll be the person who knows when the agent is wrong.</p><p><br></p><p>Responsibilities:</p><p>· <strong>Build department workspaces end to end.</strong> Ticket hubs, queues, tiles and filters for Client Services, Legal, HR and Compliance (e.g. a ClickUp-style filter builder, a performance-review system, a legal case tracker).</p><p>· <strong>Work on regulated workflows.</strong> Credit-dispute (e-OSCAR ACDV) queues with locking, auto-submit and audit trails, where a bug means a compliance issue, not just a broken screen.</p><p>· <strong>Replace CollectOne, one department at a time.</strong> Read legacy SQL Server data, mirror it into Postgres, and rebuild the daily screens staff rely on.</p><p>· <strong>Write database migrations safely.</strong> Plan apply-before-merge order, row-level security, and one-transaction-per-page-load rules.</p><p>· <strong>Wire integrations.</strong> Microsoft Graph mailboxes into tickets, Amazon Connect call screens, AWS Bedrock AI features (reply suggestions, PDF invoice analysis), S3 uploads, Stripe and QuickBooks.</p><p>· <strong>Drive AI agents well.</strong> Write clear prompts and specs, break work into small stacked PRs, and review every line the agent writes.</p><p>· <strong>Keep CI honest.</strong> Respect the guard checks (page index, lint ratchet, migration hygiene, secret scanning) and add new guards when a mistake could repeat.</p><p>· <strong>Sit with users.</strong> Turn a messy request from a supervisor into a clear spec, then show them the working screen.</p>
We are looking for an experienced IT Systems Engineer III to support and enhance enterprise infrastructure across both on-premises and cloud environments in Stamford, Connecticut. This role focuses on maintaining reliable compute, network, identity, and security platforms while driving performance, stability, and operational improvements. The ideal candidate brings strong hands-on systems engineering expertise, a proactive troubleshooting mindset, and the ability to collaborate across IT functions to keep critical business services running effectively.<br><br>Responsibilities:<br>• Oversee the deployment, maintenance, and patch management of core infrastructure platforms across the data center and cloud, including VMware, Nutanix, and Microsoft Azure.<br>• Administer Active Directory and related identity services, including organizational structure, policy management, domain services, and access controls.<br>• Manage network infrastructure and connectivity by supporting routers, switches, wireless environments, and internet-facing services while resolving performance and availability issues.<br>• Maintain and secure infrastructure technologies such as firewalls and other protection tools to support a stable and compliant operating environment.<br>• Monitor critical systems and respond quickly to incidents to minimize downtime and maintain consistent service availability across business operations.<br>• Provision, support, and optimize virtual machines in both on-premises and cloud-based environments, with an emphasis on reliability and scalability.<br>• Safeguard enterprise data by maintaining backup operations, validating recovery readiness, and assisting with disaster recovery support for essential systems.<br>• Create and update technical documentation, share knowledge with team members, and contribute to infrastructure automation, alerting, and continuous improvement initiatives.
<p><strong>Cloud Security Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A firm based in Los Angeles, California is seeking a Cloud Security Engineer to strengthen its cybersecurity program across cloud, data, endpoint, identity, and enterprise environments. This is an opportunity to join a collaborative technology organization where security, risk management, and operational excellence are critical to the business.</p><p><br></p><p><strong>Role Summary</strong></p><p>This role has a particular emphasis on Microsoft Azure security and will partner closely with data engineering and technology teams to secure modern cloud-based data environments. The ideal candidate combines strong cloud security architecture and engineering expertise with practical experience across security operations, incident response, vulnerability management, data protection, and risk management.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Serve as a security engineering resource across cloud environments, identity and access management, network security, data protection, and overall security architecture.</li><li>Partner with technology teams to implement and maintain secure solutions for enterprise applications, data platforms, and infrastructure.</li><li>Review system and application security configurations, architecture, and integrations before production deployment.</li><li>Monitor, investigate, and respond to cybersecurity incidents across enterprise systems and platforms.</li><li>Lead vulnerability management activities, including risk identification, remediation coordination, patching, and ongoing security improvements.</li><li>Support identity and access management initiatives, including authentication, authorization, and privileged access controls.</li><li>Enhance security monitoring, detection, alerting, and incident response capabilities.</li><li>Help automate and standardize security controls and operational processes.</li><li>Conduct security assessments and collaborate with internal and external stakeholders to identify and reduce risk.</li><li>Support governance, risk, compliance, audit, resiliency, and business continuity initiatives.</li></ul>
<p><strong>Part-Time Systems & Network Engineer (Direct Hire | 34 Hours/Week)</strong></p><p><strong>ONSITE: Des Moines, Iowa with Off-Hours support = Onsite & Remote </strong></p><p><strong>Part-time Hourly position PLUS Overtime Pay: $56 / hour.</strong></p><p>We are seeking a <strong>hands-on Systems & Network Engineer</strong> for a <strong>permanent direct hire, part-time opportunity</strong> working <strong>34 hours per week</strong>. This role offers a flexible schedule with <strong>some off-hours and evening onsite work</strong> to support maintenance, updates, and infrastructure changes with minimal business disruption.</p><p><strong>Why Consider This Role</strong></p><p>You will enjoy being the go-to technical resource, balancing support with project work, and having flexibility in how your week is structured, this could be an excellent fit.</p><p>This is a strong opportunity for someone who enjoys autonomy and wants to take ownership. Serve as the primary engineer responsible for both <strong>systems administration and network engineering</strong>, making this ideal for someone comfortable operating independently and driving solutions from start to finish.</p><p>*** For confidential consideration, please send a message to CARRIE DANGER, SVP Permanent Placement - on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***</p><p><strong>What You’ll Do</strong></p><ul><li>Administer and support server, systems, and network infrastructure</li><li>Maintain and enhance VMware and Windows Server environments</li><li>Manage switching, routing, firewall, and network connectivity</li><li>Support Azure and cloud-focused infrastructure initiatives</li><li>Oversee Active Directory, Microsoft 365, and Exchange Online</li><li>Handle patching, updates, alerting, and infrastructure maintenance</li><li>Coordinate scheduled server and network changes, including communication around downtime and maintenance windows</li><li>Support audit readiness, compliance controls, and infrastructure documentation</li><li>Assist with modernization efforts involving VPN, remote access, cloud migration, and data center improvements</li><li>Take ownership of projects and independently drive issues through resolution</li></ul><p><strong>Technical Background Needed</strong></p><p>Candidates should have current, hands-on experience across both <strong>systems and networking</strong>.</p><p>Preferred experience includes:</p><p>*Systems administration and network engineering</p><p>*Windows Server & VMware</p><p>*Cisco networking, including Cisco Routers, Switches, firewalls, and Cisco Meraki</p><p>*Citrix technologies</p><p>*Azure and Active Directory</p><p>*Microsoft 365 and Exchange Online</p><p>*SAN/storage administration</p><p>*PowerShell scripting</p><p>*Patch management and infrastructure lifecycle support</p><p>*Remote access technologies such as VPN solutions, Tailscale, or similar tools</p><p>*Exposure to Parallels RAS is a plus</p><p>Part-time Hourly position PLUS Overtime Pay: $56 / hour. For immediate and confidential consideration, reach out directly to Carrie Danger, SVP of Permanent Placement: Office: 515-259-6087 Mobile: 515-991-0863. Email: (found on MY LinkedIn profile)</p><p>Your application will remain confidential; resumes will never be shared without your permission.***</p>
<p>We are looking for an Electrical Systems Design Engineer to join our team in NW Tampa, FL area. In this role, you will develop industrial electrical system designs for complex equipment projects, working closely with multidisciplinary teams to deliver practical, code-compliant solutions. This position is ideal for an engineer who brings strong design expertise, attention to detail, and the ability to balance technical performance, reliability, and cost considerations throughout the project lifecycle.</p><p><br></p><p>Responsibilities:</p><p>• Direct the development of electrical system designs from initial concept through final release, ensuring alignment with applicable codes, standards, and project expectations.</p><p>• Partner with mechanical engineering, project management, and customer stakeholders to define technical needs and translate them into effective design solutions.</p><p>• Create, revise, and maintain process and instrumentation documentation to support accurate system design and project execution.</p><p>• Evaluate and specify electrical hardware such as motors, variable speed drives, controllers, and sensing devices based on functionality, dependability, and budget targets.</p><p>• Produce complete electrical drawing packages in Eplan, including schematics, enclosure layouts, hookup details, instrument documentation, and bills of materials.</p><p>• Review design feedback from internal and external stakeholders and incorporate updates that improve clarity, quality, and manufacturability.</p><p>• Provide day-to-day technical support and mentorship to less experienced engineers and designers to strengthen team capability and consistency.</p><p>• Assist with sourcing activities by coordinating with suppliers, reviewing technical submittals, and confirming component suitability for project requirements.</p><p>• Take part in design reviews, project discussions, and occasional site visits to communicate status, resolve technical issues, and support successful system integration.NW </p>
We are looking for an experienced Software Architect to lead the design and evolution of enterprise web applications in Jacksonville, Florida. This position focuses on creating reliable, scalable solutions within a Microsoft-centered environment while partnering with developers, business teams, and other stakeholders across a distributed Agile setting. The ideal candidate brings strong architectural judgment, hands-on development expertise, and a passion for guiding teams toward durable, high-quality software outcomes.<br><br>Responsibilities:<br>• Shape application architecture for new development efforts and enhancements, ensuring performance, reliability, and long-term maintainability.<br>• Build and refine custom software solutions using Microsoft technologies, with active involvement in coding, troubleshooting, and production support.<br>• Guide developers through technical mentorship, code quality practices, and sound engineering approaches across varying experience levels.<br>• Create and support large web properties, including websites, campaign pages, and related digital experiences, with attention to stability and usability.<br>• Connect user interface designs to back-end services and turn visual concepts into responsive, functional web pages.<br>• Evaluate application behavior across browsers and devices, resolving compatibility issues and improving the overall user experience.<br>• Translate business needs into practical technical designs and deliver solutions that align with project goals, timelines, and priorities.<br>• Recommend improvements to tools, frameworks, and system design choices to strengthen efficiency, scalability, and product quality.<br>• Participate in shared support coverage for applications and address incidents or issues that affect live environments.
<p> Follow Shad on LinkedIn at #chalkboardtalk for videos on his open roles. Shad and his team at Robert Half is working with a privately held client with a significant PE commitment is looking for a Senior Financial Reporting Accountant. Senior Leadership team looks to hire this position and role is critical for the growth of the accounting infrastructure. Client would like to see a candidate out of public accounting with 3 plus year’s public accounting experience with current SEC filings working knowledge and thorough understanding of Technical accounting. Candidate must have a Bachelor’s degree in Accounting, a CPA or parts in passed and have previous experience in public accounting. Company's compensation make up is base salary, bonus potential, equity potential and benefits. For confidential consideration for this opportunity please e-mail Shad at [email protected] with your Microsoft Word Resume with Senior Financial Reporting Accounting in the subject line.</p>
<p>We are seeking a technically strong <strong>Product Engineer</strong> to support the development, quality, compliance, and ongoing improvement of our client’s diverse product portfolio. This Product Engineer will serve as a key technical resource across product development and will work closely with international manufacturing partners, internal product and quality teams, sales, and branch operations.</p><p>The ideal candidate brings hands-on knowledge of refrigeration and HVAC/R equipment, strong engineering judgment, and the ability to translate technical requirements into practical product solutions. Experience working with overseas manufacturers, particularly within a private-label or distribution environment, is highly valued.</p><p><br></p><p>How You Will Make an Impact:</p><ul><li>Manage the technical lifecycle of assigned products, establishing and maintaining engineering requirements, specifications, and performance standards from initial development through commercialization.</li><li>Support a broad product portfolio that includes ductless and inverter-based ducted systems, refrigerants, hoses, tools, components, and replacement parts.</li><li>Analyze engineering drawings, technical documentation, specifications, and manufacturer data to identify design, performance, and manufacturability considerations.</li><li>Collaborate with international factory partners to refine product designs, resolve technical concerns, and ensure products meet established requirements.</li><li>Work closely with the international office and manufacturing teams to create, update, and standardize product specifications and technical documentation.</li><li>Oversee engineering aspects of product compliance and certification for the North American market, including UL, ETL, AHRI, EPA 608, and DOE requirements.</li><li>Investigate product failures and technical issues through structured root-cause analysis and coordinate corrective and preventive actions with suppliers.</li><li>Contribute technical expertise to product planning by researching competing products, conducting teardown evaluations, and assessing new technologies and market developments.</li><li>Assist with new product introductions by coordinating third-party testing, certification activities, and technical approvals.</li><li>Prepare and maintain product documentation, including installation instructions, troubleshooting materials, technical notices, and product bulletins.</li><li>Track changes to HVAC/R industry standards and government regulations and communicate potential impacts to the product and compliance teams.</li><li>Work with Sales and Marketing to create technical product resources, competitive comparison materials, training content, and other tools that support the field organization.</li></ul>
<p>Our client, a large enterprise organization with a complex and highly available technology environment, is seeking a <strong>Senior Network Security Engineer</strong> with deep expertise in firewall engineering and enterprise networking. This individual will be responsible for designing, implementing, securing, and supporting critical network infrastructure while serving as a subject matter expert for next-generation firewall technologies. </p><p>Key Responsibilities</p><ul><li>Design, implement, and maintain enterprise network security solutions with a focus on <strong>Palo Alto Networks</strong> and <strong>Fortinet</strong> firewalls. </li><li>Develop and manage firewall policies, security rules, NAT configurations, VPNs, and access controls. </li><li>Analyze firewall logs, network traffic, and security events to identify risks and troubleshoot connectivity issues. </li><li>Lead firewall upgrades, migrations, and lifecycle management initiatives. </li><li>Provide advanced troubleshooting for network and security issues involving routing, switching, wireless, VPN, and WAN/LAN environments. </li><li>Support enterprise network infrastructure including routers, switches, wireless systems, and security platforms. </li><li>Partner with security, infrastructure, and application teams to deliver secure and reliable services. </li><li>Participate in incident response efforts, root cause analysis, and remediation activities. </li><li>Maintain technical documentation, standards, and operational procedures. </li><li>Contribute to infrastructure projects from planning through implementation and post-deployment support. </li></ul><p><br></p>
We are looking for an accomplished Sr. Network Engineer to lead the design, deployment, and ongoing optimization of resilient enterprise networking solutions across on-premises and cloud environments. This Long-term Contract opportunity is based in Cincinnati, Ohio, and is ideal for a detail-oriented individual who brings deep technical judgment, strong troubleshooting ability, and a strategic approach to network architecture. The role will partner closely with infrastructure, security, cloud, application, and operations teams to deliver secure, scalable connectivity that supports evolving business needs.<br><br>Responsibilities:<br>• Design and refine enterprise network architectures that support high availability, strong performance, and secure connectivity across data center, campus, and cloud environments.<br>• Implement and maintain routing, switching, and firewall solutions using core Cisco networking technologies and Palo Alto security platforms.<br>• Manage and optimize dynamic routing configurations, including BGP, to ensure reliable traffic flow and effective network scalability.<br>• Collaborate with cross-functional technical teams to translate business and application requirements into practical network designs and implementation plans.<br>• Troubleshoot complex network incidents, identify root causes, and drive timely resolution for performance, stability, and security issues.<br>• Develop standards, diagrams, and technical documentation to support operational consistency, future planning, and knowledge sharing.<br>• Evaluate existing network infrastructure and recommend improvements that strengthen resilience, simplify management, and align with long-term technology goals.<br>• Support network changes, upgrades, and modernization efforts while minimizing disruption to business operations.
<p>We are seeking a <strong>Senior Data Engineer</strong> to join a growing data and analytics team responsible for building modern, cloud-based data platforms that drive business intelligence, reporting, and advanced analytics. This role is ideal for someone with deep expertise in <strong>Microsoft Azure</strong>, <strong>Microsoft Fabric</strong>, and modern data engineering practices.</p><p>You will be responsible for designing and developing scalable data solutions, optimizing data pipelines, and helping shape the organization's data architecture strategy. The ideal candidate is both hands-on and strategic, with experience building enterprise data platforms in Azure and Fabric environments.</p><p>Responsibilities</p><ul><li>Design, develop, and maintain enterprise data solutions using <strong>Microsoft Fabric</strong> and <strong>Azure Data Services</strong>.</li><li>Build and optimize scalable ETL/ELT pipelines for structured and unstructured data sources.</li><li>Develop and manage data lakes, lakehouses, warehouses, and semantic models.</li><li>Design data integration solutions using Fabric Data Factory, Dataflows, and Azure Data Factory.</li><li>Implement data governance, security, quality, and monitoring frameworks.</li><li>Partner with business stakeholders to understand reporting and analytics requirements.</li><li>Support Power BI developers by building trusted, high-quality data models and datasets.</li><li>Optimize data storage, query performance, and platform scalability.</li><li>Develop data architecture standards, best practices, and documentation.</li><li>Collaborate with application development teams to integrate operational systems with enterprise analytics platforms.</li><li>Support real-time and batch data processing initiatives.</li><li>Participate in architecture reviews, code reviews, and technical leadership activities.</li></ul><p><br></p>
<p>We are looking for a Data Engineer to join a Chemicals Manufacturing organization in New Jersey in a contract-to-permanent capacity. This role focuses on creating reliable, secure, and scalable data solutions that connect operational and business systems to enterprise reporting, analytics, and advanced data use cases. The position will work across IT and operational environments to support trusted data delivery for functions such as finance, supply chain, operations, commercial teams, and corporate analytics.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain large-scale data pipelines that move information from enterprise and operational source systems into structured data layers for analytics and reporting.</p><p>• Develop curated and semantic data models that support business intelligence platforms, downstream applications, and data-driven decision-making across the organization.</p><p>• Connect manufacturing and operational technology data sources using approved integration methods while coordinating with plant and controls teams to protect system reliability and safety.</p><p>• Establish data quality standards through validation rules, automated testing, and monitoring processes that improve accuracy, completeness, and timeliness of delivered datasets.</p><p>• Implement observability practices such as lineage tracking, alerting, and operational runbooks to strengthen support processes and reduce production issues.</p><p>• Apply security and governance controls including access management, secrets handling, data classification, and retention practices aligned with enterprise policies.</p><p>• Automate deployment workflows with Git-based CI/CD processes to promote consistent releases across environments and improve delivery reliability.</p><p>• Tune platform performance and resource usage by optimizing processing strategies, scaling approaches, and storage patterns to balance speed and cost.</p><p>• Partner with BI, data, and IT stakeholders to define data contracts, document solutions, and provide operational knowledge transfer to internal teams and external partners.</p><p><br></p><p><br></p><p>02710-0013476075</p><p><br></p>
<p><strong>Data Pipeline Development & Integration</strong></p><ul><li>Design, build, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from multiple sources.</li><li>Develop automated data integration solutions supporting enterprise applications, analytics, and reporting.</li><li>Integrate structured and semi-structured data from APIs, relational databases, cloud platforms, and third-party systems.</li><li>Develop batch and real-time data processing solutions.</li><li>Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks.</li></ul><p><strong>Data Warehousing & Architecture</strong></p><ul><li>Design and optimize enterprise data warehouses, data lakes, and lakehouse architectures.</li><li>Develop efficient data models, schemas, and transformations to support business intelligence and analytics.</li><li>Build and maintain cloud-based data solutions using AWS, Microsoft Azure, or Google Cloud.</li><li>Optimize SQL queries, database performance, and data processing workloads.</li><li>Implement data partitioning, indexing, and storage optimization strategies.</li></ul><p><strong>Data Quality & Governance</strong></p><ul><li>Develop automated data validation, monitoring, and quality assurance processes.</li><li>Ensure data accuracy, consistency, reliability, and availability across enterprise systems.</li><li>Implement data governance standards, access controls, and security best practices.</li><li>Maintain documentation for data pipelines, architecture, and transformation logic.</li><li>Support compliance with organizational data privacy and security requirements.</li></ul><p><strong>Cloud Engineering & Automation</strong></p><ul><li>Develop and maintain cloud-native data pipelines and processing workflows.</li><li>Utilize orchestration tools such as Apache Airflow, Azure Data Factory, or similar technologies.</li><li>Implement CI/CD practices for data engineering workflows.</li><li>Automate data processing, monitoring, and infrastructure deployment.</li><li>Collaborate with DevOps and infrastructure teams to improve scalability and reliability.</li></ul><p><strong>Analytics & AI Support</strong></p><ul><li>Partner with business intelligence and analytics teams to deliver reliable datasets for reporting and dashboards.</li><li>Develop curated data models supporting Power BI, Tableau, and other visualization platforms.</li><li>Build data pipelines supporting machine learning, predictive analytics, and AI applications.</li><li>Collaborate with AI engineers and data scientists to prepare, transform, and deliver data for model development and production applications.</li><li>Identify opportunities to improve business processes through better data integration and automation.</li></ul><p><br></p><p><br></p>
<p>We are looking for a senior Data Engineer. This position combines architectural leadership with hands-on development across a modern cloud data ecosystem, with a strong focus on building dependable, scalable, and efficient data solutions. The role will help shape engineering standards, strengthen platform governance, and support high-quality data delivery for enterprise analytics and emerging AI-driven use cases.</p><p><br></p><p>Responsibilities:</p><p>• Provide technical direction to engineering teams and guide the successful execution of complex data platform initiatives.</p><p>• Create and enhance robust data pipelines and reusable data products that support scalable analytics and reporting needs.</p><p>• Develop and refine cloud-based data solutions using Snowflake, dbt, Fivetran, and Azure services.</p><p>• Build automation-first, metadata-driven processing frameworks to improve consistency, maintainability, and operational efficiency.</p><p>• Design curated data structures using established modeling approaches such as Data Vault, Kimball, and dimensional modeling.</p><p>• Improve platform performance through tuning, cost management, and scalability planning across data workloads.</p><p>• Establish and reinforce best practices for data quality, governance, lineage tracking, observability, and CI/CD delivery.</p><p>• Support Azure-based integration, storage, compute, and DevOps capabilities required for reliable end-to-end data operations.</p><p>• Enable data foundations that can support advanced analytics, AI/ML initiatives, and modern analytical architectures.</p>
We are looking for an experienced Data Engineer to strengthen and scale an enterprise data environment in California. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building reliable cloud-based data solutions, shaping reporting-ready datasets, and connecting information from diverse business platforms. The role offers meaningful ownership across data modeling, pipeline development, and analytics enablement while working closely with stakeholders in a collaborative setting.<br><br>Responsibilities:<br>• Create and refine scalable data structures that support reporting, analytics, and long-term platform growth.<br>• Develop and maintain curated datasets that are dependable, well-organized, and ready for business intelligence use.<br>• Connect data from multiple enterprise applications and align it into a consistent, usable format.<br>• Build and manage mappings, reference relationships, and cross-system data associations to improve data consistency.<br>• Enhance existing ingestion and transformation workflows to support expanding business and analytics needs.<br>• Strengthen platform stability through better monitoring, testing practices, and operational improvements.<br>• Tune and optimize data processing performance while contributing to ongoing platform enhancements.<br>• Produce clear documentation for lineage, transformation rules, and support procedures to improve maintainability.<br>• Collaborate with business partners to deliver high-confidence data assets that support reporting and decision-making.<br>• Help establish engineering standards, documentation practices, and technical guidelines across the data platform.
<p>We are looking for a Data Engineer to support data-driven initiatives for a services environment in Southern California. This Long-term Contract position focuses on building reliable data pipelines, improving data availability, and enabling scalable processing for analytics and operational needs. The ideal candidate brings strong hands-on experience with modern data engineering tools and can work across large data sets with accuracy and efficiency.</p><p><br></p><p><strong>Role :</strong></p><ul><li>Design, develop, maintain, and optimize business intelligence solutions, ETL workflows, reporting systems, and data integration processes.</li><li>Collaborate with business, analytics, and technical teams to gather requirements and deliver reporting and analytics solutions.</li><li>Develop and maintain data models, SQL scripts, stored procedures, dashboards, and reporting solutions.</li><li>Build, optimize, and support ETL pipelines across on-premises and cloud environments.</li><li>Troubleshoot and resolve complex reporting, data quality, performance, and integration issues.</li><li>Validate reporting logic, data transformations, and reporting accuracy.</li><li>Perform performance tuning for SQL queries, stored procedures, ETL workflows, and reporting platforms.</li><li>Participate in architecture discussions and provide technical recommendations aligned with business objectives.</li><li>Create and maintain technical documentation including solution designs, data mappings, and operational procedures.</li><li>Participate in code reviews and enforce development, reporting, and data governance standards.</li><li>Mentor junior developers through technical guidance and knowledge-sharing activities.</li><li>Support Agile delivery activities including sprint planning, backlog refinement, and project execution.</li><li>Collaborate with stakeholders and leadership teams to support business intelligence initiatives.</li><li>Drive continuous improvement initiatives related to reporting quality, analytics performance, and operational efficiency.</li></ul><p><br></p><p><br></p><p><br></p>
<p>We are looking for a Data Engineer to build and enhance reporting and data solutions that help teams make informed business decisions across the organization. This role partners with groups such as asset management, acquisitions, accounting, and HR to translate business needs into scalable dashboards, reliable data pipelines, and actionable insights. Based in Los Angeles, California, the position is ideal for someone who combines strong technical depth with the ability to explain findings clearly to a range of stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Create and refine dashboards, reports, and automated data outputs using tools such as Python, Excel, and Power BI to support operational and strategic reporting needs.</p><p>• Examine large and varied datasets to uncover meaningful trends, performance indicators, and opportunities for improvement.</p><p>• Guide and support entry-level BI team members by reviewing work, sharing best practices, and contributing to their career growth.</p><p>• Partner with stakeholders across multiple business functions to define reporting goals, gather technical requirements, and deliver effective data solutions.</p><p>• Translate technical concepts and analytical results into clear recommendations for non-technical audiences.</p><p>• Contribute to cross-department initiatives that improve data availability, reporting consistency, and overall usability of business information.</p><p>• Develop and maintain queries, procedures, and data workflows to support extraction, transformation, and loading activities across reporting environments.</p><p>• Monitor data quality through validation checks, issue resolution, and routine audits to maintain accuracy and reliability.</p><p>• Administer BI platforms with attention to performance, access control, and system stability while assisting users with adoption and training.</p><p><br></p><p>For immediate consideration, apply now and direct message Reid Gormly on LinkedIn</p>
<p>Lead Data Engineer</p><p>Salary: Up to $160,000 Location:</p><p>On-Site | South Los Angeles Area</p><p>Employment Type: Full-Time</p><p><br></p><p>Build the Foundation for Enterprise Analytics</p><p><br></p><p>We are seeking a Lead Data Engineer to drive the architecture, modernization, and expansion of a growing enterprise data platform built within the Microsoft Azure ecosystem. This is a highly visible technical leadership role where you'll help shape the future of data across multiple business functions by building scalable, secure, and high-performing data solutions.</p><p><br></p><p>If you're passionate about Databricks, cloud data platforms, and mentoring engineering teams while remaining hands-on with development, this is an opportunity to make a significant impact.</p><p><br></p><p>What You'll Do</p><ul><li>Lead the design, implementation, and optimization of an enterprise Azure Databricks Lakehouse environment utilizing Bronze, Silver, and Gold data layers.</li><li>Architect and execute migrations from SQL Server and legacy platforms into modern cloud-native data solutions.</li><li>Develop and optimize large-scale ETL/ELT pipelines supporting operational reporting, business intelligence, advanced analytics, and data science initiatives.</li><li>Integrate data from multiple enterprise systems, APIs, operational platforms, and third-party sources.</li><li>Establish best practices for data engineering, data modeling, testing, CI/CD, monitoring, governance, and production support.</li><li>Implement and maintain data governance frameworks, security controls, lineage tracking, and access management.</li><li>Lead code reviews, technical design discussions, and engineering standards across the data team.</li><li>Mentor and support data engineers while fostering a culture of technical excellence.</li><li>Partner closely with business stakeholders, analysts, and data scientists to deliver trusted, scalable data products.</li></ul><p>For immediate consideration, apply now and direct message Reid Gormly on LINKEDIN</p>
We are looking for a Data Engineer to help build reliable data solutions that support reporting, analytics, and day-to-day business decisions in Princeton, New Jersey. This position focuses on creating scalable data flows, improving platform performance, and organizing data for efficient access across teams. The ideal candidate brings strong technical depth in pipeline development, database technologies, and cloud-based data environments.<br><br>Responsibilities:<br>• Build, enhance, and support scalable ETL workflows that move and transform data from multiple sources into trusted analytical platforms.<br>• Create and refine data models, storage structures, and warehouse solutions to improve accessibility, efficiency, and long-term maintainability.<br>• Monitor data processes to identify issues, strengthen reliability, and maintain high standards for accuracy, consistency, and performance.<br>• Partner with analytics, engineering, and business stakeholders to understand data needs and deliver practical data solutions.<br>• Optimize SQL Server and related data systems to support efficient querying, integration, and operational stability.<br>• Implement and maintain orchestration processes using tools such as Airflow or comparable workflow technologies.<br>• Contribute to cloud-based data infrastructure initiatives across platforms such as Azure and other enterprise cloud environments.
We are looking for a Data Engineer to support healthcare-focused data initiatives in Bridgewater, New Jersey. This Long-term Contract position is ideal for someone who enjoys building reliable data pipelines, working with large-scale datasets, and improving the flow of information across technical environments. The role will contribute to scalable data solutions that help teams access, process, and analyze critical business data efficiently.<br><br>Responsibilities:<br>• Design and maintain scalable data pipelines to collect, transform, and deliver data from multiple sources.<br>• Develop ETL workflows that improve data quality, consistency, and availability for reporting and analytics needs.<br>• Use Python and Apache Spark to process high-volume datasets and optimize performance across data engineering tasks.<br>• Work with Hadoop-based environments to manage distributed data processing and storage effectively.<br>• Integrate streaming and batch data using Apache Kafka to support timely and dependable data movement.<br>• Partner with analysts, developers, and business stakeholders to translate data needs into practical engineering solutions.<br>• Monitor pipeline health, troubleshoot processing issues, and implement improvements that increase reliability and efficiency.
We are looking for a Data Engineer to join our team in Jacksonville, Florida and help shape scalable, enterprise-ready analytics solutions. In this role, you will turn complex business needs into well-structured data models, high-performing pipelines, and actionable reporting assets that support informed decision-making. The ideal candidate brings deep experience with modern data platforms, strong technical leadership, and the ability to guide best practices for analytics, governance, and data usability across the organization.<br><br>Responsibilities:<br>• Design and maintain scalable data pipelines and transformation workflows using tools such as Python, Apache Spark, Hadoop, Kafka, and ETL frameworks.<br>• Build and optimize enterprise semantic models that support consistent metrics, reusable analytics assets, and reliable reporting across multiple business areas.<br>• Partner with business and technical stakeholders to convert complex requirements into practical data solutions, dashboards, and analytical datasets.<br>• Develop and support analytics solutions within modern cloud and hybrid environments, with a strong focus on Microsoft Power BI, Microsoft Fabric, and Azure Synapse Analytics.<br>• Improve data quality, model performance, and platform reliability through testing, validation, tuning, and adherence to established governance standards.<br>• Provide technical guidance to team members by sharing best practices in data modeling, visualization, and scalable analytics design.<br>• Evaluate and incorporate AI-enabled analytics capabilities and automation opportunities while ensuring outputs align with business needs and quality expectations.<br>• Communicate technical concepts and analytical insights clearly to a range of audiences, including leadership, to support strategic decisions.