<p>We are looking for a Software Developer to join a collaborative team in Greater Cleveland, Ohio and help build modern web-based solutions with meaningful business impact. This position centers on creating and enhancing a cloud-driven financial management platform while contributing across both user-facing and server-side components. The ideal candidate enjoys solving technical challenges, values teamwork, and wants to play an active role in shaping future product capabilities.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain full-stack web applications with a focus on performance, usability, and reliability.</p><p>• Develop front-end features using modern JavaScript frameworks to deliver responsive and intuitive user experiences.</p><p>• Create and support back-end services and application logic using C# and ASP.NET technologies.</p><p>• Partner with cross-functional team members to define requirements, refine technical approaches, and deliver scalable solutions.</p><p>• Contribute to the ongoing enhancement of a cloud-based financial software suite by adding new functionality and improving existing components.</p><p>• Write and optimize database interactions, including data models and queries, within Microsoft SQL environments.</p><p>• Participate in architecture discussions and provide input that influences the direction of current and future products.</p><p>• Test, troubleshoot, and resolve application issues to ensure stable releases and high-quality software delivery.</p>
<p>We are seeking a Software Developer with experience in 3D application development to help design, build, and enhance interactive solutions. The ideal candidate will have hands-on experience with game engine technologies, 3D modeling workflows, and C++ development. This role will collaborate with cross-functional teams to create high-quality, real-time applications using Unreal Engine and Unity. This is an onsite position in Jacksonville, FL.</p><p><br></p><p>Responsibilities</p><ul><li>Develop and maintain interactive 3D applications, simulations, and visualization tools.</li><li>Design, implement, and optimize software solutions using C++ and related technologies.</li><li>Build and enhance applications within Unreal Engine and Unity environments.</li><li>Integrate 3D assets, models, animations, and visual effects into production applications.</li><li>Collaborate with designers, artists, and stakeholders to translate requirements into technical solutions.</li><li>Troubleshoot, debug, and optimize performance for real-time applications.</li><li>Participate in code reviews and contribute to software design discussions.</li><li>Create and maintain technical documentation for applications and development processes.</li><li>Support testing, deployment, and ongoing maintenance activities.</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>A growing organization is seeking a Senior IAM Engineer / Architect with deep expertise in Saviynt Identity Governance and Administration (IGA) to lead enterprise identity governance initiatives. This role will be responsible for architecting and delivering scalable identity solutions, automating access management processes, integrating critical business applications, and strengthening compliance and security across the organization.</p><p><br></p><p><strong>POSITION TITLE:</strong> Senior IAM Engineer / Architect (Saviynt)</p><p><strong>LOCATION:</strong> Remote / Hybrid</p><p><strong>SALARY:</strong> Competitive, Based on Experience</p><p><br></p><p><strong>RESPONSIBILITIES</strong></p><ul><li>Lead the design, implementation, and optimization of Saviynt IGA solutions.</li><li>Build and enhance Joiner, Mover, Leaver (JML) workflows and identity lifecycle processes.</li><li>Develop RBAC models, birthright access frameworks, and automated provisioning/deprovisioning workflows.</li><li>Integrate cloud, SaaS, and on-prem applications with Saviynt using APIs and connectors.</li><li>Implement access request processes, certifications, entitlement reviews, and SoD controls.</li><li>Partner with security, audit, compliance, infrastructure, and business teams to strengthen identity governance.</li><li>Create audit-ready reporting and support regulatory compliance initiatives.</li></ul><p><br></p>
<p>We are looking for an experienced Identity Governance Engineer. This role is focused on strengthening identity governance and privileged access capabilities by partnering with business stakeholders and building secure, scalable solutions across the user access lifecycle. The ideal candidate will bring deep expertise in modern identity platforms and scripting, along with the ability to translate governance needs into effective technical designs.</p><p><br></p><p>Responsibilities:</p><p>• Lead the design and ongoing enhancement of identity governance and privileged access processes for employee accounts and technical identities.</p><p>• Build and maintain lifecycle-driven access controls that support onboarding, role changes, and offboarding across enterprise systems.</p><p>• Partner with business and technology teams to define identity policies, align governance standards, and implement supporting controls.</p><p>• Develop and configure integrations and connectors between identity platforms and business applications to enforce access rules consistently.</p><p>• Architect and support core security capabilities spanning identity governance, privileged access management, multifactor authentication, and single sign-on services.</p><p>• Troubleshoot platform issues across identity and access technologies and deliver technical solutions that meet operational and security requirements.</p><p>• Evaluate and incorporate tools such as SailPoint Identity Security Cloud, Microsoft Entra ID, CyberArk, BeyondTrust, and Clutch Security into the broader access management framework.</p>
<p><strong><u>Senior Infrastructure DevOps Engineer</u></strong></p><p><strong>Remote - Atlanta, GA</strong></p><p><strong>Location Requirement:</strong> This is a fully remote position; however, candidates <strong>must currently reside in the Atlanta, GA area</strong>. Applicants outside of Atlanta will <strong>not</strong> be considered.</p><p><strong>Work Authorization:</strong> <strong>No C2C. No third-party agencies. No sponsorship or visa transfers now or in the future.</strong></p><p><br></p><p><strong>About the Role</strong></p><p>We are seeking a Senior Infrastructure DevOps Engineer to join a growing IT team. This is an exciting opportunity for someone who enjoys wearing multiple hats across infrastructure, cloud engineering, automation, DevOps, enterprise applications, and technical leadership.</p><p>This role is ideal for someone who enjoys taking ownership of projects, mentoring junior engineers, partnering with business stakeholders, and driving technical initiatives that improve business operations.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Lead enterprise infrastructure initiatives (approximately 60–70% of the role).</li><li>Support DevOps projects, automation, and development (approximately 30–40% of the role).</li><li>Build and develop APIs using Python and PowerShell.</li><li>Manage Azure cloud resources, including networks, storage, services, and cloud infrastructure.</li><li>Administer and configure financial ERP systems and enterprise business applications.</li><li>Oversee Microsoft 365 administration, including Exchange Online, SharePoint, Teams, and OneDrive.</li><li>Administer Entra ID (Azure Active Directory), including roles, conditional access, governance, and identity management.</li><li>Manage Microsoft Intune for device deployment and compliance.</li><li>Develop PowerShell scripts, Python automation, and Power Automate workflows to reduce manual effort and improve business and Finance processes.</li><li>Support and enhance integrations between Business Central (ERP), Kantata, Navan, ADP, and other enterprise applications.</li><li>Monitor and optimize Azure cloud resources, performance, and costs.</li><li>Apply security best practices, including MFA, device compliance, least-privilege access, and governance.</li><li>Support audits, compliance initiatives, and security investigations.</li><li>Provide Level 3 support for complex infrastructure and application issues.</li><li>Mentor junior engineers and provide technical leadership.</li><li>Take ownership of projects and work across multiple IT disciplines.</li><li>Partner with business stakeholders to recommend technical solutions and improve operational efficiency.</li><li>Help drive future operational growth and leadership initiatives.</li></ul>
<p>Our client is seeking a <strong>Supplier Quality Engineer</strong> to drive supplier quality performance, lead corrective action initiatives, and reduce manufacturing defects and material-related scrap. This role partners closely with suppliers, engineering, operations, and quality teams to ensure purchased materials meet quality expectations and support continuous improvement efforts.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Lead supplier quality investigations, containment activities, and corrective action efforts.</li><li>Partner with suppliers to identify root causes and implement sustainable solutions using methodologies such as <strong>8D</strong> and continuous improvement tools.</li><li>Coordinate material sorting and containment activities with internal teams, suppliers, and third-party providers.</li><li>Track and analyze supplier-related quality issues, assembly damage, and scrap trends.</li><li>Drive process improvement initiatives using <strong>DMAIC</strong>, Pareto analysis, trend analysis, and data-driven action plans.</li><li>Manage the supplier failure analysis process, including tracking returned materials and ensuring timely supplier responses.</li><li>Collaborate with Operations, Quality, Process Engineering, and Test Engineering teams to improve product quality and reduce costs.</li><li>Support ISO 9001 quality management activities, including internal audits, documentation, calibration, and continuous improvement efforts.</li><li>Prepare reports and communicate quality performance metrics to management and key stakeholders.</li></ul><p><br></p>
<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>
We are looking for a Network Security Consultant to support secure, resilient network environments for public-facing and internal platforms in Iselin, New Jersey. This Long-term Contract opportunity is ideal for a detail-oriented candidate who can strengthen enterprise security architecture, improve protected connectivity, and advise teams on practical risk reduction. The role will work closely with infrastructure, security, and application stakeholders to deliver scalable safeguards that align with operational and business needs.<br><br>Responsibilities:<br>• Create and deploy secure network architecture for internet-facing applications and connected internal systems.<br>• Develop segmentation approaches that separate critical environments and enforce protected communication across the enterprise.<br>• Administer and refine firewall configurations, access policies, and related security controls to support performance and protection goals.<br>• Design and maintain secure routing and access frameworks that govern connectivity between users, applications, and network resources.<br>• Advise technical teams on hardening externally accessible applications and strengthening service-level security measures.<br>• Implement and support multi-factor authentication, identity management capabilities, digital certificates, and encrypted communication standards.<br>• Deploy and maintain reverse proxy or web application firewall solutions to help defend public-facing services from threats.<br>• Establish effective logging, monitoring, alerting, and system-hardening practices to improve visibility and incident response readiness.<br>• Partner with infrastructure, security, and application teams to review proposed designs, support implementation planning, and recommend governance and risk mitigation improvements.
We are looking for an experienced Systems Administrator III to support and enhance a complex enterprise technology environment. This role is ideal for a hands-on infrastructure specialist who can manage Windows-based systems, strengthen identity and access services, and contribute to reliable IT operations across both on-premises and cloud platforms. The successful candidate will bring strong technical judgment, practical scripting ability, and a proactive approach to system performance, security, and continuity.<br><br>Responsibilities:<br>• Administer and maintain Windows server and desktop environments to ensure stable, secure, and efficient day-to-day operations.<br>• Manage identity and access services across on-premises Active Directory, Group Policy, and Entra ID to support user lifecycle and policy enforcement.<br>• Develop and use PowerShell scripts to automate routine administration, streamline support tasks, and improve operational consistency.<br>• Support a broad Microsoft ecosystem that may include Intune, Azure, SharePoint, virtualization platforms, SaaS applications, and endpoint management tools.<br>• Monitor infrastructure health, troubleshoot technical issues, and resolve escalated incidents involving systems, access, performance, and connectivity.<br>• Contribute to IT planning by recommending infrastructure improvements, aligning technical solutions with operational goals, and supporting long-term system strategy.<br>• Apply best practices for security, storage, backup, disaster recovery, and data protection to strengthen resilience and reduce operational risk.<br>• Assist with advanced infrastructure technologies such as clustering, Hyper-V, and related Microsoft platform services when required.
<p>We are looking for a Construction Cost Engineer to join our client's growing construction team in Chicago, IL!</p><p> </p><p>This position will support the continued expansion of complex, mission-critical data center projects, with a strong focus on cost controls, change management, project financials, risk mitigation, and MEP coordination. You’ll work closely with Construction Cost Managers and the broader project team to manage change orders, track costs and project status, and help drive accountability around the financial performance of the project. </p><p> </p><p><strong>Responsibilities: </strong></p><p>• Manage project cost tracking activities from early planning through closeout to help maintain budget accuracy and financial discipline.</p><p>• Administer the subcontractor change process by monitoring submissions, following up on pending actions, and confirming documentation is complete before approval.</p><p>• Enter and maintain change order records within the designated project platform, ensuring information is accurate, current, and processed within required timelines.</p><p>• Contribute to monthly cost reporting by compiling financial data, identifying budget variances, and summarizing key risks along with practical mitigation recommendations.</p><p>• Support meetings and presentations with internal leaders, clients, and external partners by preparing clear financial updates and project cost insights.</p><p>• Evaluate contract language and project documentation to help determine commercial entitlement related to change events, claims, and other cost impacts.</p><p>• Work closely with finance and accounting stakeholders to align reporting, uphold financial controls, and address cost-related questions during the project.</p><p>• Review market conditions such as labor availability, union considerations, material pricing, and tax implications to inform estimates, forecasts, and budget adjustments.</p><p>• Assist with the resolution of invoice discrepancies, payment questions, and change-related billing issues to keep project financials accurate and current.</p>
We are looking for a Computer Vision Engineer to join a growing team building AI-driven solutions for manufacturing environments in Cambridge, Massachusetts. In this role, you will create and deploy vision models that interpret live camera feeds to support defect detection and workflow monitoring across industrial settings. This position is ideal for an engineer who enjoys turning machine learning concepts into reliable production systems and collaborating closely with technical teams to deliver measurable operational value.<br><br>Responsibilities:<br>• Design, train, and refine computer vision models for manufacturing use cases such as defect identification, anomaly detection, and step-by-step task tracking.<br>• Build production-ready Python-based machine learning pipelines using frameworks such as PyTorch or TensorFlow.<br>• Work with image and video data captured from facility cameras to develop accurate and scalable real-time analysis solutions.<br>• Deploy and support vision applications in cloud and edge environments, including AWS services such as S3 and EC2.<br>• Collaborate with engineering leadership and cross-functional teammates to translate customer needs into practical model and system designs.<br>• Create solutions from the ground up using supervised and unsupervised learning techniques where appropriate.<br>• Improve system performance through testing, evaluation, and iterative tuning of algorithms in live operational settings.<br>• Participate in periodic onsite visits to customer facilities to understand workflows, validate model behavior, and support implementation.
<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>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>
<p>We are seeking an experienced <strong>Data Engineer</strong> to architect, build, and optimize scalable data pipelines and cloud-based data platforms that support advanced analytics, reporting, and business intelligence initiatives.</p><p><strong>Responsibilities</strong></p><ul><li>Design, develop, and maintain robust ETL/ELT pipelines for ingesting, transforming, and loading structured and semi-structured data.</li><li>Build and manage scalable data pipelines using <strong>Python</strong> and <strong>SQL</strong> across cloud and warehouse environments.</li><li>Optimize data storage, query performance, and overall efficiency within modern data warehouse platforms.</li><li>Develop and maintain data models that support downstream analytics, reporting, and operational use cases.</li><li>Collaborate with business stakeholders, analysts, and engineering teams to define data requirements and translate them into technical solutions.</li><li>Implement and support data quality checks, governance standards, and monitoring processes to ensure data reliability and integrity.</li><li>Troubleshoot pipeline failures, performance bottlenecks, and data consistency issues across the data ecosystem.</li><li>Contribute to best practices in data architecture, orchestration, documentation, and deployment.</li></ul><p><br></p>
<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>
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.
<p>For our client, we are seeking a Data Engineer to design, develop, and maintain scalable data pipelines, integrations, and enterprise data platforms. This individual will work closely with data analysts, architects, and business stakeholders to ensure reliable data ingestion, transformation, storage, and accessibility for reporting, analytics, and business intelligence initiatives.</p>
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>We are looking for a Data Engineer to help shape and strengthen the organization’s data warehouse and analytics capabilities. This role will focus on building reliable data solutions that support reporting, business intelligence, and operational decision-making across the company. The ideal candidate brings strong technical depth in data engineering, enjoys solving complex integration challenges, and works effectively with both IT colleagues and business stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Design and enhance scalable data warehouse structures and integration pipelines that support analytics, reporting, and cross-system data flow.</p><p>• Develop, test, and maintain ETL processes that move data from varied source systems into staging, warehouse, and downstream reporting environments.</p><p>• Partner with business teams and technical peers to translate functional needs into practical data solutions and system designs.</p><p>• Improve database performance by tuning SQL, refining indexing strategies, and addressing issues identified through execution plan analysis.</p><p>• Create and support dashboards, reports, and data visualizations using tools such as Power BI, Tableau, and similar business intelligence platforms.</p><p>• Perform data validation, auditing, and quality checks to protect accuracy, consistency, and compliance across critical datasets.</p><p>• Provide production support for data platforms, integrations, and reporting solutions, resolving issues and maintaining dependable system performance.</p><p>• Contribute to agile delivery efforts by participating in development, testing, and quality assurance activities across databases, middleware, and analytics applications</p>
We are looking for a Data Engineer to strengthen reporting and data capabilities for distribution operations in Minneapolis, Minnesota. In this role, you will turn information from sales, inventory, warehouse, vendor, and point-of-sale platforms into practical insights that support branch leaders, purchasing teams, and senior decision-makers. The position focuses on creating reliable data solutions that improve inventory planning, pricing visibility, and day-to-day operational performance across a multi-site distribution environment.<br><br>Responsibilities:<br>• Design, build, and maintain data pipelines that consolidate information from ERP, point-of-sale, warehouse, vendor, and sales systems.<br>• Develop dashboards and operational reports that help business teams monitor inventory movement, pricing performance, margin trends, and service levels.<br>• Write and optimize SQL queries to extract, validate, and transform data from platforms such as SQL Server, Postgres, and distribution-focused ERP systems.<br>• Partner with branch management, purchasing, and leadership teams to translate business questions into clear analytics and reporting solutions.<br>• Ensure data quality and consistency by investigating discrepancies, validating source data, and improving reporting logic across systems.<br>• Support analysis of inventory health by tracking metrics such as turns, fill rate, reorder thresholds, and safety stock performance.<br>• Produce insights that help identify opportunities to improve replenishment decisions, operational efficiency, and pricing accuracy across multiple branches or warehouses.<br>• Contribute to reporting and integration work involving business systems and connected commerce platforms when operational data needs evolve.
<p>We are looking for a Data Engineer to help strengthen financial decision-making by building reliable data and automation capabilities that support planning and analysis. This position works closely with finance leaders and business partners to turn strategic goals into scalable data solutions, improving visibility, speed, and confidence in reporting. </p><p><br></p><p>Responsibilities:</p><p>• Design and maintain data pipelines that convert financial and operational information into trusted, analysis-ready datasets for planning and reporting.</p><p>• Create scalable data models and structured finance data assets within the broader enterprise ecosystem to support consistent, governed analytics.</p><p>• Develop automation solutions using tools such as Python, Excel, and workflow platforms to streamline recurring finance processes and increase team capacity.</p><p>• Build near real-time data transformation processes that improve the timeliness and accuracy of performance visibility for stakeholders.</p><p>• Apply AI-enabled techniques such as anomaly detection, forecasting support, and variance analysis to enhance financial insight generation.</p><p>• Deliver self-service analytics tools and reporting frameworks that allow business users to explore key metrics and make informed decisions independently.</p><p>• Establish documentation, data standards, and governance practices that improve maintainability, quality, and long-term adoption of solutions.</p><p>• Monitor and support automated jobs and bot-driven processes, including troubleshooting, performance oversight, and control management.</p><p>• Translate complex data findings into clear, executive-level outputs that help guide business strategy and financial priorities</p>
We are looking for an experienced Data Engineer to join our team in Illinois. This role is suited for a self-directed, technically strong individual who can navigate complex data challenges, influence architectural decisions, and contribute to stronger engineering standards across the team. The ideal candidate brings deep expertise in modern data technologies and a practical approach to building reliable, scalable solutions in a fast-moving environment.<br><br>Responsibilities:<br>• Design, build, and maintain scalable data pipelines that support large-volume processing and analytics needs.<br>• Take ownership of complex engineering initiatives from discovery through delivery, making sound technical decisions with minimal oversight.<br>• Develop and optimize distributed data solutions using technologies such as Apache Spark, Hadoop, and Kafka.<br>• Create robust ETL workflows that ensure data quality, consistency, and availability across multiple systems.<br>• Partner with cross-functional teams to define integration approaches, support API connectivity, and enable dependable data exchange.<br>• Improve system performance through testing, troubleshooting, and targeted optimization of data processing workloads.<br>• Contribute to architecture discussions by recommending effective patterns for scalable, maintainable data platforms.<br>• Support the broader engineering team by sharing knowledge, guiding technical best practices, and helping raise overall delivery quality.