<p>Security Engineering & Infrastructure</p><ul><li>Design, implement, and maintain security solutions across on-premises and cloud environments.</li><li>Manage firewalls, endpoint protection, IDS/IPS, and network security controls.</li><li>Implement identity and access management (IAM), MFA, PAM, and Zero Trust security.</li><li>Collaborate with IT teams to secure enterprise systems, networks, and applications.</li></ul><p>Threat Detection & Incident Response</p><ul><li>Monitor and investigate security threats using SIEM and EDR/XDR platforms.</li><li>Conduct threat hunting, incident investigations, and root cause analysis.</li><li>Develop incident response procedures and coordinate remediation efforts.</li></ul><p>Vulnerability Management & Risk</p><ul><li>Perform vulnerability assessments and security risk evaluations.</li><li>Identify, prioritize, and remediate security vulnerabilities.</li><li>Support patch management, system hardening, and threat mitigation.</li></ul><p>Cloud Security & Automation</p><ul><li>Implement security controls across AWS, Azure, or Google Cloud environments.</li><li>Automate security monitoring and remediation using Python, PowerShell, or similar tools.</li><li>Integrate security practices into DevOps and CI/CD processes.</li></ul><p>Governance & Compliance</p><ul><li>Support security policies, audits, and regulatory compliance initiatives.</li><li>Apply NIST, ISO 27001, and CIS security frameworks.</li><li>Maintain security documentation and support disaster recovery planning.</li></ul>
We are looking for a Cyber Security Engineer to strengthen and oversee the organization’s security posture in Maryknoll, New York. This role is responsible for identifying vulnerabilities, protecting systems and networks, and guiding risk-based security practices across the environment. The ideal candidate brings strong technical judgment, hands-on security expertise, and the ability to communicate clearly with both technical teams and business stakeholders.<br><br>Responsibilities:<br>• Monitor and evaluate the security of systems, endpoints, and network infrastructure to identify threats and reduce exposure to risk.<br>• Investigate security incidents, assess potential breaches, and coordinate timely remediation efforts to restore and protect operations.<br>• Review firewall configurations, network activity, and monitoring outputs to help maintain a secure and resilient technology environment.<br>• Partner with internal teams to support patch management and strengthen security controls across Windows and macOS platforms.<br>• Assess third-party vendor security documentation, including SOC 2 reports, to support risk reviews during procurement and contract evaluation.<br>• Contribute to the development, maintenance, and enforcement of information security policies, standards, and procedures.<br>• Provide clear updates and recommendations to leadership, IT colleagues, and end users while handling sensitive matters with sound judgment and discretion.
<p>A leading mortgage company is seeking a talented Application Security Engineer to help secure internally developed applications, APIs, and software delivery processes. This role partners with engineering, architecture, and DevOps teams to embed security throughout the SDLC and strengthen secure-by-design practices. Position is 100% remote and comes with strong company benefits. This is a direct hire position; candidate must be eligible to work in the United States.</p><p><br></p><p>Responsibilities:</p><p>• Perform threat modeling, secure design reviews, and architecture assessments</p><p>• Review SAST, DAST, SCA, and secrets scanning results; support risk-based remediation</p><p>• Help define secure coding standards, guardrails, and security patterns</p><p>• Guide developers on secure coding and vulnerability remediation</p><p>• Support security testing for web, API, and cloud applications</p><p>• Maintain and improve AppSec tools and CI/CD security integrations</p><p>• Deliver developer security training and support audit and compliance efforts.</p>
We are looking for an experienced Azure platform engineering specialist to support enterprise-scale cloud capabilities. This long-term contract position focuses on shaping, enhancing, and sustaining Azure platform services that enable business-critical applications and technology initiatives. The role calls for a hands-on engineer who can work independently, partner with cross-functional teams, and deliver reliable, secure, and scalable Azure solutions across a broad technical landscape.<br><br>Responsibilities:<br>• Architect, implement, and support Azure platform services that meet enterprise application and infrastructure needs.<br>• Build and enhance Azure environments spanning network connectivity, gateway services, security controls, and container-based platforms.<br>• Develop and maintain Azure management capabilities to improve governance, consistency, and operational efficiency.<br>• Establish and support CI/CD workflows, DevOps practices, and repository standards to streamline platform delivery.<br>• Configure and optimize Azure monitoring solutions to strengthen availability, performance visibility, and incident response.<br>• Contribute to Azure AI and data platform initiatives, including support for modern AI-driven and data-centric services.<br>• Evaluate existing Azure implementations and introduce improvements that raise performance, stability, and functionality.<br>• Translate technical and business objectives into practical Azure platform designs and implementation plans.<br>• Partner with application, infrastructure, and security teams to resolve complex platform issues and support ongoing product delivery.
<p>Robert Half is expanding its network of Embedded Software Engineers for potential opportunities supporting industrial automation, connected equipment, and manufacturing technology.</p><p>Unlike traditional web or enterprise software roles, these opportunities focus on developing software that interacts directly with hardware and physical equipment.</p><p>We are seeking engineers who enjoy working close to the hardware, investigating challenging technical issues, and developing reliable firmware for microcontroller-based systems.</p><p>Potential projects may involve embedded controllers, industrial sensors, connected equipment, machine monitoring systems, and next-generation manufacturing technology.</p><p>Primary Responsibilities</p><ul><li>Design, develop, test, and maintain embedded software using C and C++.</li><li>Develop firmware for microcontroller-based devices, including ARM Cortex-M or comparable architectures.</li><li>Work with real-time operating systems such as FreeRTOS, Zephyr, or similar platforms.</li><li>Implement low-level drivers, hardware abstraction layers, bootloaders, and firmware application logic.</li><li>Interface with sensors, actuators, communication modules, and other embedded hardware components.</li><li>Develop and troubleshoot communication interfaces such as SPI, I2C, UART, and CAN bus.</li><li>Collaborate with electrical and hardware engineers during board bring-up, hardware integration, and system validation.</li><li>Diagnose firmware issues using JTAG/SWD debuggers, oscilloscopes, logic analyzers, and other laboratory equipment.</li><li>Optimize software for memory usage, timing requirements, power consumption, and processor performance.</li><li>Develop automated unit tests and hardware-in-the-loop testing procedures.</li><li>Investigate system failures and document root causes, corrective actions, and test results.</li><li>Support prototype testing, production validation, and manufacturing-related firmware changes.</li><li>Participate in firmware code reviews, technical documentation, and release management activities.</li><li>Contribute to secure device communication and firmware update functionality where applicable.</li></ul><p><br></p>
We are looking for a Senior Front End Software Engineer to build modern, scalable web applications. This role combines hands-on Angular development with technical leadership, requiring someone who can shape frontend architecture, elevate engineering standards, and deliver high-quality user experiences. The ideal candidate brings deep expertise in TypeScript and JavaScript, collaborates effectively across product and engineering teams, and helps guide frontend work from concept through release.<br><br>Responsibilities:<br>• Build and enhance enterprise-scale frontend applications with Angular, creating reliable and maintainable solutions that support long-term growth.<br>• Lead technical direction for frontend development by establishing sound architecture, reusable component patterns, and consistent coding practices.<br>• Turn product goals, design concepts, and business needs into intuitive, responsive, and accessible user interfaces.<br>• Improve application speed and stability through performance tuning, bundle optimization, and thoughtful rendering strategies.<br>• Work closely with Product, UX/UI, backend engineers, QA, and DevOps to plan, estimate, and deliver frontend initiatives in an Agile environment.<br>• Oversee code quality through peer reviews, testing guidance, and development standards that strengthen maintainability and release confidence.<br>• Diagnose complex production issues, monitor application health with tools such as New Relic, and drive improvements in reliability and observability.<br>• Support and develop entry-level and mid-level engineers through mentoring, technical coaching, collaborative problem-solving, and knowledge sharing.<br>• Evaluate emerging frontend tools and frameworks, recommending practical improvements that enhance developer experience and product delivery.<br>• Communicate implementation options, technical tradeoffs, and delivery risks clearly to both technical and non-technical stakeholders.
We are looking for an experienced Software Development Project Manager to lead complex software initiatives in Glastonbury, Connecticut. This role oversees multiple programs, aligns delivery priorities with customer expectations, and drives collaboration across technical and business stakeholders. The ideal candidate brings strong project governance, clear executive communication, and the ability to manage software development efforts in regulated or security-conscious environments.<br><br>Responsibilities:<br>• Direct several concurrent software projects, balancing scope, timing, budget, and delivery objectives across a broader program portfolio.<br>• Partner with customers and internal stakeholders to define priorities, establish realistic expectations, and maintain strong working relationships throughout the project lifecycle.<br>• Coordinate with software development teams using Agile and Scrum practices, including sprint planning, delivery tracking, and issue escalation.<br>• Monitor project financials, schedules, risks, and performance metrics, and provide clear status updates to leadership and customer contacts.<br>• Support the integration and delivery of application solutions, working closely with technical teams to align development activities with operational needs.<br>• Guide resolution of complex project issues, make informed decisions, and communicate impacts and recommendations to executive stakeholders.<br>• Ensure work is performed in accordance with applicable export control, information security, and operational security requirements.<br>• Travel to customer, partner, or company sites as needed, including occasional overnight trips, to support program execution and stakeholder engagement.
<p>A leading Oklahoma City company is seeking a Technical Project Manager experienced working with software development teams to drive strong delivery outcomes across the organization. Must be able to demonstrate excellence in key areas such as budgeting, tracking, and delivery. Company has a solid, tenured team and offers a great benefits package. Position is hybrid but you could live outside the OKC area. </p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Facilitate software delivery by supporting engineering teams and removing obstacles to progress.</li><li>Lead internal and external team meetings, including stand-ups, planning, refinement, demos, and retrospectives.</li><li>Collaborate with clients, subcontractors, partner teams, internal staff, and executives to maintain alignment and engagement.</li><li>Maintain consistent client reporting on budget projections, release timelines, and risk logs.</li><li>Coach teams to improve software development best practices and processes.</li></ul>
<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 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 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><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 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 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 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 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>
<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>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>
<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.