We are looking for an IAM Engineer to strengthen identity governance capabilities for a growing enterprise environment in San Antonio, Texas. This role focuses on enhancing access management processes, improving platform reliability, and supporting secure integration across critical business systems. The ideal candidate will bring hands-on experience with identity administration tools, strong troubleshooting ability, and a practical understanding of compliance-driven access controls.<br><br>Responsibilities:<br>• Manage and enhance the Saviynt identity governance platform to support joiner, mover, and leaver processes, automated provisioning, and access oversight.<br>• Configure connections between Saviynt and enterprise technologies such as Microsoft Entra ID, Active Directory, HR platforms, databases, cloud services, and other integrated applications using APIs and connectors.<br>• Create and maintain workflows, rules, reports, and validation processes that increase automation, improve data quality, and strengthen governance outcomes.<br>• Monitor system health, review performance trends, and resolve complex technical issues to improve availability, scalability, and operational efficiency.<br>• Partner with cybersecurity teams, application owners, auditors, and business stakeholders to design and refine identity controls and governance solutions.<br>• Support identity modernization efforts through application onboarding, migration-related activities, certification campaigns, and governance improvements.<br>• Produce and maintain operational documentation including support records, runbooks, troubleshooting guides, and technical procedures.<br>• Develop dashboards and reporting capabilities to track provisioning performance, certification progress, platform usage, and compliance metrics.<br>• Contribute to backup, recovery, and disaster recovery planning by assisting with testing processes and infrastructure resilience activities.
We are looking for an AD/Identity Engineer to support enterprise identity services and help strengthen secure access across a complex technology environment in Illinois. This Long-term Contract position is ideal for someone who can combine hands-on engineering expertise with strong coordination skills across business stakeholders, internal IT teams, and external partners. The role focuses on modern identity platforms, application authentication, and operational ownership of critical directory and access management services.<br><br>Responsibilities:<br>• Serve as the primary technical point of contact among business stakeholders, internal technology teams, and external delivery partners to keep identity-related work aligned and on track.<br>• Guide hybrid identity initiatives by supporting the movement of on-premises directory services into a Microsoft-based modern authentication environment.<br>• Collaborate with third-party partners to assess implementation plans, confirm technical settings, and verify that agreed project outcomes are completed successfully.<br>• Help onboard and enable roughly 200 applications for updated authentication methods and enterprise identity platforms.<br>• Administer, configure, and resolve issues across Active Directory, Microsoft Entra ID, Azure AD Connect, Okta, and integrated OAuth or single sign-on solutions.<br>• Work closely with application owners to collect integration needs, coordinate testing efforts, and manage production cutover activities.<br>• Review migrated users, groups, and access assignments to ensure identity data and permissions are transferred accurately.<br>• Investigate and resolve issues involving authentication, federation, directory synchronization, and application access.<br>• Produce and maintain technical documentation, support procedures, and knowledge-sharing materials to enable stable ongoing operations.<br>• Take long-term administrative ownership of the identity environment and provide continued support after project milestones are completed.
We are looking for an Industrial Software & Applications Engineer to join a permanent team supporting industrial technology initiatives in Pennsylvania. This position blends software engineering with automation support, offering the opportunity to build and enhance applications that improve visibility, reliability, and performance across operational systems. The role is well suited for someone who enjoys solving technical problems, working with connected equipment, and contributing to projects involving industrial data, controls, and modern software tools.<br><br>Responsibilities:<br>• Build, maintain, and enhance software applications that support the monitoring, control, and analysis of industrial operations.<br>• Work with automation hardware and software such as PLCs, HMIs, sensors, and instrumentation to support system connectivity and functional performance.<br>• Develop scripts, APIs, dashboards, and reporting tools that help teams access operational data and improve decision-making.<br>• Assist with collecting, validating, transforming, and processing industrial data for both real-time use and longer-term analysis.<br>• Troubleshoot communication links, interfaces, and networked systems to improve reliability across connected industrial environments.<br>• Contribute to system testing, commissioning, validation, and deployment activities for new or updated software and automation solutions.<br>• Analyze equipment and process data to identify trends, support predictive maintenance efforts, and recommend operational improvements.<br>• Create clear technical documentation, including diagrams, procedures, test plans, and troubleshooting references.<br>• Support initiatives involving cloud platforms, edge computing, remote connectivity, and cybersecurity practices for industrial systems.
We are looking for an experienced Sr Full Stack Software Engineer to help shape and expand a newly formed internal applications capability in Mount Arlington, New Jersey. In this role, you will create enterprise tools that streamline operations, support technical business users, and strengthen secure application delivery across the organization. This opportunity is well suited for someone who enjoys building practical platforms, improving self-service experiences, and delivering modern solutions that balance speed, governance, and scalability.<br><br>Responsibilities:<br>• Architect, build, and enhance internal business applications using modern front-end and back-end technologies, including React, Python with FastAPI, and PostgreSQL.<br>• Create reusable frameworks, starter templates, and guided development patterns that help teams deliver governed applications more efficiently.<br>• Develop enterprise integrations, file exchange capabilities, and other internal tools that support essential business processes.<br>• Design self-service features that reduce manual support needs and improve the experience for internal users and technical stakeholders.<br>• Connect applications with corporate identity and access management services while enforcing role-based permissions and secure authentication practices.<br>• Establish auditability, application lifecycle controls, and governance measures to support compliance, security, and operational oversight.<br>• Work closely with engineering, IT, and security partners to ensure solutions align with technical standards and are ready for production use.<br>• Contribute to architectural decision-making and champion sound engineering practices for reliability, maintainability, and secure software delivery.<br>• Support AI-enabled and low-code development capabilities that allow users to build lightweight internal solutions within defined guardrails.
<p>We’re seeking an experienced Full Stack Software Engineer to design, develop, test, and maintain scalable web applications across front-end and back-end environments.</p><p><strong> </strong></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and develop full-stack applications, APIs, and web services.</li><li>Build responsive user interfaces and scalable back-end services.</li><li>Develop business logic and database solutions.</li><li>Collaborate with Product, QA, DevOps, and Engineering teams.</li><li>Participate in technical design, code reviews, testing, troubleshooting, and performance optimization.</li><li>Integrate third-party services/APIs and support CI/CD and automated testing.</li><li>Evaluate emerging technologies to improve scalability, security, and reliability.</li></ul><p><br></p>
<p>We are looking for a <strong>Network Architect</strong> to support our client's team here in Austin, Texas. This will be a contract opportunity with potential to become permanent. This position focuses on designing and maintaining reliable network environments while providing hands-on engineering support for controller troubleshooting and repair. The role is well suited for someone who can balance architecture planning with field-level problem solving and is comfortable with travel as part of project and support needs.</p><p><br></p><p><strong>Responsibilities:</strong></p><p>• Design and improve network architecture that supports renewable energy systems and related operational infrastructure.</p><p>• Provide engineering support for controller diagnostics, troubleshooting, and break-fix activities in live environments.</p><p>• Evaluate network performance and implement changes that strengthen stability, connectivity, and overall system reliability.</p><p>• Partner with technical teams to align infrastructure decisions with application, security, and operational requirements.</p><p>• Support integration efforts involving cloud platforms, APIs, and connected systems where network architecture plays a critical role.</p><p>• Travel to project or operating sites as needed to investigate issues, support deployments, and assist with technical resolution.</p><p>• Document architecture decisions, support procedures, and remediation steps to promote consistency across environments.</p>
<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><strong>Please Note:</strong> This position supports government-contracted programs. As a result, candidates must be <strong>U.S. Citizens</strong> to be eligible for consideration.</p><p><strong>Senior Software Engineer (Test Systems & Manufacturing)</strong></p><p><strong>Location:</strong> Burnsville, MN</p><p><strong>Schedule:</strong> Onsite, First Shift (Flexible Start Time Between 6:00 AM and 9:00 AM)</p><p><strong>Employment Type:</strong> Contract-to-Hire, 12 Months with Potential for Full-Time Conversion</p><p><strong>Overview</strong></p><p>We are seeking a Senior Software Engineer to support a test engineering organization responsible for commercial and defense-related sensor products. This position plays a key role in the design, development, troubleshooting, and integration of software used in production test systems and manufacturing environments.</p><p>The ideal candidate is a hands-on engineer who enjoys solving complex technical problems, collaborating across disciplines, and working closely with hardware, software, and test equipment in support of production operations.</p><p>Key Responsibilities</p><ul><li>Design, develop, maintain, and enhance software applications used for manufacturing test systems and production equipment.</li><li>Troubleshoot software, hardware, and test-system issues that impact production operations.</li><li>Lead the development and implementation of test software solutions supporting new and existing products.</li><li>Collaborate with engineers, technicians, and operators to identify root causes and resolve technical challenges.</li><li>Support verification, validation, and requirements traceability activities throughout the development lifecycle.</li><li>Develop and maintain engineering processes, procedures, and best practices related to test software development.</li><li>Review software designs, provide technical recommendations, and contribute to continuous improvement initiatives.</li><li>Present project updates, technical findings, and design reviews to engineering teams and leadership.</li><li>Support modernization efforts for existing test platforms and manufacturing solutions.</li><li>Participate in cross-functional projects involving software, electrical, systems, and manufacturing engineering teams.</li></ul><p><br></p>
<p>We are looking for an Artificial Intelligence (AI) Engineer to support the design, deployment, and ongoing operation of AI systems for a government services organization in Albuquerque, New Mexico. This position centers on building reliable AI infrastructure, enabling machine learning solutions in production, and partnering with cross-functional teams to deliver secure, scalable platforms. </p><p>The ideal candidate brings strong experience in automation, Kubernetes-based deployments, and modern MLOps practices, along with the ability to translate technical needs into durable operational solutions.</p><p><br></p><p>Responsibilities:</p><p>• Direct the rollout and integration of AI platforms and services, ensuring they work effectively with existing enterprise technologies and operational standards.</p><p>• Architect, implement, and refine AI infrastructure in partnership with cloud, server, and platform engineering teams to support dependable system performance.</p><p>• Move machine learning solutions from development into production by establishing repeatable processes for deployment, maintenance, and long-term support.</p><p>• Create and manage CI/CD and MLOps workflows that cover model validation, packaging, release, rollback, and lifecycle oversight.</p><p>• Automate infrastructure and platform operations through scripting, infrastructure-as-code methods, and configuration management tools.</p><p>• Troubleshoot platform and service issues, perform root cause analysis, and produce clear technical documentation for support and maintenance activities.</p><p>• Strengthen system visibility by implementing logging, monitoring, alerting, and incident response practices across AI environments.</p><p>• Uphold security and compliance expectations by contributing to audits, remediation efforts, vulnerability management, and secure design reviews.</p><p>• Identify and deliver improvements that increase performance, scalability, reliability, and cost efficiency across AI-enabled systems.</p><p>• Work with technical and business stakeholders to align AI implementations with organizational priorities and evaluate emerging tools for long-term operational value.</p><p>Other duties as needed</p>
<p>We are seeking a versatile and technically strong Software Engineering Instructor to join our team in Monroe, NY. This individual will help students and/or learners strengthen their programming skills through hands-on instruction, mentoring, troubleshooting, and real-world development exercises.</p><p><br></p><p>The ideal candidate is a well-rounded software developer who can work comfortably across multiple programming languages and frameworks and has the ability to explain complex technical concepts in a clear, approachable manner.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Provide hands-on programming instruction, tutoring, and technical mentorship.</li><li>Teach and support learners across multiple programming languages, frameworks, and development environments.</li><li>Develop practical exercises, examples, and learning materials focused on real-world software development.</li><li>Help learners troubleshoot code, identify bugs, and understand best practices for debugging and testing.</li><li>Support testing and regression testing to ensure applications function as expected.</li><li>Introduce learners to cloud technologies, particularly <strong>AWS</strong>.</li><li>Help learners understand and apply modern <strong>AI technologies</strong>, including AI frameworks, APIs, plugins, and integrations.</li><li>Adapt instruction to different experience levels and learning styles.</li><li>Stay current with emerging programming languages, development frameworks, AI technologies, and industry best practices.</li></ul><p><br></p>
<p>We are looking for an RF Systems Engineer to contribute to the development of sophisticated radio frequency solutions that support advanced radar and antenna applications in Utah. This position will guide work across design, integration, and validation activities, helping translate technical concepts into reliable hardware performance. The role is well suited to an engineer with deep knowledge of RF and microwave systems who can collaborate across disciplines and solve complex technical challenges throughout the product lifecycle.</p><p><br></p><p>Responsibilities:</p><p>• Architect and refine RF transmit and receive paths, covering frequency generation, signal conversion, filtering, amplification, and high-speed data interface considerations.</p><p>• Evaluate end-to-end RF performance by assessing gain distribution, noise behavior, compression limits, spectral purity, and distortion mechanisms across the system.</p><p>• Lead the initial bring-up and troubleshooting of RF hardware assemblies, resolving issues uncovered during subsystem and platform integration.</p><p>• Execute laboratory and field verification efforts to confirm system functionality, operational performance, and readiness for application-specific use cases.</p><p>• Characterize RF and antenna behavior with standard measurement instrumentation, including network analysis, spectral testing, signal stimulation, and chamber-based evaluations.</p><p>• Interpret measurement data to isolate root causes, recommend corrective actions, and improve design maturity through iterative engineering updates.</p><p>• Create and maintain Python-based tools for automation, simulation support, data reduction, and repeatable test workflows.</p><p>• Partner with systems, electrical, mechanical, firmware, software, and algorithm teams to align design decisions with broader program objectives.</p><p>• Prepare clear technical records such as design summaries, verification documentation, and test findings to support reviews and development milestones.</p><p>• Ensure engineering outputs satisfy applicable performance expectations as well as regulatory, environmental, and reliability standards.</p>
<p>We are looking for an experienced Network Engineer to join our client's team here in Austin, Texas, on a long-term contract basis. In this role, you will contribute to the design, maintenance, and optimization of network systems. Collaborating with a team of skilled engineers and project managers, you will play a key part in ensuring seamless network operations and supporting the development of cutting-edge solutions.</p><p> </p><p><strong>Responsibilities:</strong></p><p>• Design and implement network systems tailored to renewable energy installations.</p><p>• Utilize AutoCAD to edit existing templates and create detailed drawings for fiber communication protocols.</p><p>• Develop XML configurations for point creation and data integration.</p><p>• Work with Supervisory Control and Data Acquisition (SCADA) systems to monitor, control, and optimize renewable energy machinery.</p><p>• Perform network module configurations, including IP protocols and real-time sensor data integration.</p><p>• Collaborate with project managers and engineers to ensure efficient system operations and troubleshooting.</p><p>• Provide technical expertise in electrical and mechanical aspects of network systems.</p><p>• Maintain documentation and ensure compliance with industry standards.</p><p>• Support potential fieldwork activities, including commissioning, wire termination, and system checks.</p><p>• Optimize network performance through continuous monitoring and improvements.</p><p><br></p>
<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>
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 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>
<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 seeking a highly skilled Big Data Engineer to design, build, and optimize scalable data platforms that support enterprise analytics, reporting, machine learning, and business intelligence initiatives. The ideal candidate will have experience developing large-scale data pipelines, managing cloud-based data ecosystems, and implementing high-performance data solutions that enable data-driven decision-making across the organization. Key Responsibilities Design, develop, and maintain large-scale data processing systems and data pipelines. Build and optimize ETL/ELT workflows for structured, semi-structured, and unstructured data sources. Develop scalable solutions using distributed computing frameworks such as Apache Spark, Hadoop, and Kafka. Collaborate with Data Scientists, Analysts, Architects, and business stakeholders to support analytical and operational requirements. Integrate data from multiple internal and external systems while ensuring data quality and integrity. Design and implement cloud-native data solutions within AWS, Azure, or Google Cloud environments. Monitor, troubleshoot, and improve the performance, reliability, and scalability of data platforms. Implement data governance, security, compliance, and access control standards. Support real-time and batch data processing requirements. Document architectures, workflows, and technical specifications to ensure operational excellence.
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.
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.
<p>The Data Engineer will develop and maintain scalable data pipelines and cloud-based data solutions that support analytics and business intelligence initiatives.</p><p>Responsibilities</p><ul><li>Design and build ETL/ELT processes.</li><li>Develop data pipelines using Python and SQL.</li><li>Optimize data warehouse performance.</li><li>Work with stakeholders to gather data requirements.</li><li>Support data governance and quality initiatives.</li></ul><p><br></p>