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.
We are looking for an experienced Sr. Software Engineer to join our team and drive the design, development, and evolution of enterprise software solutions. This role is ideal for a highly technical engineer who pairs strong full-stack expertise with a modern, AI-enabled approach to software delivery. You will play a key role in building scalable applications, improving engineering practices, and partnering across teams to deliver secure, reliable, and business-focused technology.<br><br>Responsibilities:<br>• Create and enhance software features that support critical business needs, with a focus on performance, reliability, and long-term maintainability.<br>• Design technical solutions for new components, services, and platform capabilities across distributed application environments.<br>• Lead by example through thoughtful code reviews, sound engineering decisions, and hands-on contribution throughout the development lifecycle.<br>• Use AI-assisted tools to strengthen solution design, accelerate development, improve debugging, and raise overall team productivity.<br>• Develop and maintain automated tests while promoting quality standards that reduce defects and support stable releases.<br>• Investigate production issues and application defects across front-end, back-end, database, and infrastructure layers, then implement effective resolutions.<br>• Apply secure development practices and support the delivery of applications that meet enterprise security expectations.<br>• Collaborate with product and technical stakeholders to understand user needs, align solutions with business goals, and improve product outcomes.<br>• Contribute to deployment, monitoring, source control, and continuous delivery practices that support efficient and dependable software releases.<br>• Identify opportunities to refine tools, workflows, and engineering standards, and help the broader team adopt improved ways of working.
We are looking for a Network Engineer to join a contract opportunity in Pennsylvania. In this role, you will contribute to the design, support, and optimization of enterprise network, voice, and collaboration systems within a Cisco-centered environment. The position requires a hands-on, detail-oriented individual who can strengthen reliability, performance, and security while partnering with internal teams to deliver stable communication services.<br><br>Responsibilities:<br>• Oversee the daily operation and ongoing improvement of Cisco network infrastructure, including switching, routing, VLAN segmentation, spanning tree, and access layer connectivity.<br>• Configure and support enterprise voice platforms by administering Cisco Unified Communications systems, call routing components, and related telephony services.<br>• Maintain cloud-based collaboration tools such as Webex and Microsoft Teams, including account setup, dial plan coordination, and interoperability with on-premises environments.<br>• Administer emergency calling solutions and verify that voice services align with applicable E911 requirements across company locations.<br>• Develop, document, and carry out disaster recovery and failover exercises for network and voice platforms, capturing outcomes and validating recovery readiness.<br>• Apply and tune quality of service settings to preserve call clarity and prioritize real-time traffic throughout the communications environment.<br>• Investigate and resolve call quality problems, service interruptions, and network-related voice issues using a disciplined troubleshooting approach.<br>• Support structured change management processes by preparing documentation, implementing approved updates, and completing post-change review activities.<br>• Partner with security, compliance, vendors, and cross-functional technology teams to ensure infrastructure meets operational standards and regulatory expectations.<br>• Keep technical records current, including network diagrams, voice configurations, dial plans, and support procedures.
We are looking for a Data & Integration Engineer to support the design and delivery of dependable data solutions for healthcare operations in Mankato, Minnesota. In this role, you will create and optimize data pipelines, connect critical applications, and help ensure information moves accurately across clinical, operational, and business platforms. This position is ideal for someone who combines strong technical depth with a practical understanding of healthcare data standards, platform reliability, and regulatory expectations.<br><br>Responsibilities:<br>• Develop and support scalable data workflows that collect, transform, and distribute information across enterprise systems.<br>• Build and manage integrations between clinical, operational, and business applications to enable consistent data exchange.<br>• Monitor data processing and interface performance, troubleshoot failures, and improve overall reliability of connected systems.<br>• Establish and maintain controls that strengthen data accuracy, completeness, and consistency throughout the data lifecycle.<br>• Create and enhance data infrastructure using modern cloud and database technologies to support reporting, analytics, and operational needs.<br>• Partner with technical and business teams to understand integration requirements and translate them into effective engineering solutions.<br>• Implement solutions that align with healthcare data regulations and interoperability expectations across connected platforms.<br>• Support interfaces and data connections involving electronic health record and practice management systems, including related downstream applications.
We are looking for a Software Engineer to help strengthen and evolve a mission-critical internal platform in Dublin, Ohio. In this role, you will build and refine full-stack solutions that support day-to-day business operations while improving reliability, maintainability, and long-term scalability. You will work closely with stakeholders and engineering peers to deliver practical software enhancements across a modern cloud-based environment.<br><br>Responsibilities:<br>• Create, enhance, and support end-to-end applications that enable essential operational workflows across the business.<br>• Take responsibility for existing systems by improving application resilience, refining performance, and expanding technical documentation.<br>• Develop and maintain backend services, APIs, and connected integrations that operate effectively within a cloud-first architecture.<br>• Contribute to deployment automation, continuous integration processes, release activities, and ongoing production support.<br>• Partner with business teams to understand operational needs and turn them into effective technical designs and working solutions.<br>• Use AI-enabled development tools to streamline delivery, strengthen code quality, and improve engineering efficiency.<br>• Help shape application architecture, engineering best practices, and team standards through active technical collaboration.<br>• Support modernization efforts for legacy components and drive improvements that increase platform stability and scalability.
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.
<p><strong> Microsoft Identity Manager (MIM) SME / Identity Platform Consultant</strong></p><p><strong>Discovery, Documentation & Migration Assessment Engagement</strong></p><p><strong>Overview</strong></p><p>Our client is seeking a senior-level Microsoft Identity Manager (MIM) Subject Matter Expert to lead a focused discovery, documentation, and migration assessment engagement within an existing enterprise identity management environment.</p><p>This is not a deployment, implementation, or engineering build role. The primary objective is to analyze, document, assess, and provide recommendations for a production MIM environment that currently lacks sufficient internal knowledge transfer and documentation.</p><p>The ideal consultant will have extensive hands-on experience supporting Microsoft Identity Manager in production environments and be comfortable independently reverse-engineering complex identity management configurations without relying on existing documentation or internal subject matter experts.</p><p>The consultant will work closely with Enterprise Platforms, Infrastructure, and IT Architecture teams to create comprehensive documentation, evaluate operational risks, and develop a roadmap for eventual migration to Microsoft Entra ID Inbound Provisioning</p>
<p><strong>Sr. Application Engineer / Solutions Architect</strong></p><p><strong>Location:</strong> Bethesda, MD (Hybrid)</p><p><strong>Reports To:</strong> Director, Technology Architecture & Platforms</p><p><strong>Role Type:</strong> Senior Individual Contributor / Technical Lead</p><p>Overview</p><p>Seeking a Sr. Application Engineer to lead the design, development, and support of enterprise applications built with Microsoft Azure and no-code/low-code platforms. This hands-on role combines software engineering, application architecture, code reviews, technical leadership, and mentorship.</p><p>The position is part of Application Engineering within the Digital Engineering Group and supports custom Azure development (C#/.NET, Python, React), Power Apps, Power Automate, and integrations with Appian-based solutions. The role partners closely with Architecture, Product Management, Cybersecurity, Cloud, Data, Support, Integration, and Quality Engineering teams. No direct reports.</p><p>Key Responsibilities</p><ul><li>Lead the design, development, deployment, and support of Azure and low-code applications.</li><li>Develop solutions using C#/.NET, Python, React, Azure services, Power Apps, and Power Automate.</li><li>Build APIs, business logic, data-access components, reusable libraries, templates, and prototypes.</li><li>Modernize legacy applications, spreadsheets, and manual processes.</li><li>Establish engineering standards through code reviews, reusable components, best practices, and mentoring.</li><li>Evaluate when to use low-code solutions versus custom development based on complexity, security, maintainability, and cost.</li><li>Manage application lifecycle processes, versioning, deployments, and environment promotion.</li><li>Collaborate with Integration Engineering on APIs, event-driven services, interfaces, and error handling.</li><li>Partner with Quality Engineering on automated testing, regression coverage, release readiness, and testability.</li><li>Integrate enterprise identity, data, AI, document, and notification services.</li><li>Implement secure development practices including authentication, authorization, managed identities, secrets management, and least-privilege access.</li><li>Utilize source control, CI/CD, automated testing, monitoring, logging, and observability practices.</li><li>Support production releases, troubleshoot complex incidents, perform root-cause analysis, and drive continuous improvement.</li></ul><p><br></p><p><br></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 an experienced Data Engineer to join a construction and contractor-focused organization in Appleton, Wisconsin. This contract opportunity with potential for a permanent role is ideal for a senior-level candidate who enjoys building scalable cloud-based data platforms, working hands-on with Python and notebook-driven development, and applying AI-enabled tools to create practical business solutions. The role will focus on designing modern data lake capabilities, improving data movement and transformation processes, and partnering with stakeholders to deliver reliable analytics infrastructure.<br><br>Responsibilities:<br>• Design, build, and enhance modern data lake architecture in Google Cloud Platform to support scalable and efficient data operations.<br>• Develop robust data pipelines using Python, SQL, Spark, and ETL frameworks to ingest, transform, and prepare data from multiple sources.<br>• Create and maintain notebook-based solutions that demonstrate clear technical approaches, reusable logic, and well-documented project outcomes.<br>• Integrate large-scale data processing technologies such as Hadoop and Kafka to support high-volume and streaming data workloads.<br>• Collaborate with cross-functional teams to translate business needs into data engineering solutions that improve reporting, analytics, and operational decision-making.<br>• Apply AI-driven tools and approaches to accelerate development, improve solution quality, and deliver innovative customer-focused outcomes.<br>• Support cloud data environments that may include Azure Data Lake and related platforms as part of broader enterprise data initiatives.<br>• Contribute to data platform improvements, including work connected to enterprise tool adoption or internal platform changes when needed.
We are looking for a hands-on Network Engineer to support pharmaceutical operations in Bridgewater, New Jersey. This Long-term Contract position is fully on-site and focuses on diagnosing network issues, restoring service quickly, and assisting with infrastructure rollouts across nearby facilities. The role is ideal for someone who is comfortable working directly with network hardware, collaborating with site teams, and maintaining stable connectivity in a fast-paced environment.<br><br>Responsibilities:<br>• Resolve day-to-day network incidents by identifying root causes, repairing connectivity problems, and restoring normal operations across the primary site.<br>• Configure, maintain, and troubleshoot Palo Alto firewalls, including policy updates, performance checks, and issue resolution in production environments.<br>• Support Cisco switching infrastructure through configuration changes, trunk setup, software upgrades, and troubleshooting of switching-related problems.<br>• Assist with SD-WAN environments, including diagnosing issues and supporting platforms such as Cisco SD-WAN or Meraki SD-WAN.<br>• Maintain and troubleshoot Aruba wireless networks to help ensure dependable coverage and performance for business operations.<br>• Provide network support for two nearby facilities as needed, including occasional local travel to assist with technical issues or planned work.<br>• Contribute to deployment activities, which may include after-hours or weekend support during implementation windows.<br>• Handle physical installation and movement of network equipment, including tasks that require lifting hardware up to 50 pounds.
<p><strong>Position Summary</strong></p><p>The Sr. Hardware Engineer Lead provides technical leadership in the design, development, and support of embedded electronic products across the full product lifecycle. This role leads hardware development, product improvements, and cross-functional collaboration to ensure products are reliable, manufacturable, compliant, and well supported through production.</p><p><strong>Key Responsibilities</strong></p><ul><li>Lead embedded hardware design from concept through production, including circuit design, component selection, prototyping, validation, documentation, and product release.</li><li>Design and review analog, digital, mixed-signal, power, sensor, wireless, and microcontroller-based hardware, including schematics and PCB layouts.</li><li>Oversee prototype bring-up, testing, debugging, root cause analysis, and design validation.</li><li>Support production and existing products through troubleshooting, engineering changes, yield improvement, and defect reduction.</li><li>Partner with Supply Chain and Procurement on component availability, alternate sourcing, obsolescence, and cost reduction.</li><li>Act as a senior technical escalation point for complex product, manufacturing, and field issues.</li><li>Work with Quality on design controls, documentation, CAPA, configuration management, ISO requirements, and product certifications.</li><li>Mentor engineering team members through technical guidance, design reviews, best practices, and cross-training.</li><li>Collaborate with Firmware, Mechanical, Manufacturing, Quality, Supply Chain, Technical Support, and Operations to drive successful product development and support.</li></ul><p><br></p>
<p><strong>Lead Data Engineer</strong></p><p><br></p><p><strong>Company Overview</strong> </p><p>A media organization is seeking a Lead Data Engineer to support enterprise data, analytics, and emerging technology initiatives. This role offers the opportunity to lead technical projects, mentor engineers, and help shape the organization's data strategy.</p><p><br></p><p><strong>Role Summary</strong> </p><p>The Lead Data Engineer will be a hands-on technical leader responsible for data engineering, analytics, automation, and AI-related initiatives. This role combines individual contribution, technical direction, team mentorship, and cross-functional collaboration.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Lead the design, development, and support of enterprise data solutions.</li><li>Provide technical leadership and establish development best practices.</li><li>Oversee data pipelines, integrations, reporting, and automation initiatives.</li><li>Partner with business and technology stakeholders to prioritize work and deliver solutions.</li><li>Monitor data quality, reliability, and operational performance.</li><li>Mentor team members and support their technical development.</li><li>Evaluate emerging technologies and identify opportunities for innovation.</li></ul>
<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>
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.
<p>We are looking for a Data Governance Engineer to support the implementation, administration, and continuous improvement of enterprise data governance capabilities across a modern cloud data platform. This role will work closely with data platform, security, and product teams to translate governance requirements into scalable technical solutions that improve data security, accessibility, quality, and compliance.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Administer and configure Snowflake security and governance capabilities, including RBAC, dynamic masking, and object tagging.</p><p>· Implement, maintain, and troubleshoot access governance controls within Immuta and other governance platforms.</p><p>· Configure and monitor data quality checks, alerting mechanisms, and governance-related operational processes.</p><p>· Maintain, enrich, and optimize enterprise data catalog content to improve discoverability, classification, and metadata quality.</p><p>· Support the adoption and enhancement of AI-assisted data documentation and description generation tools.</p><p>· Partner with engineering teams to test, validate, and deploy ingest-time data tagging and metadata management solutions.</p><p>· Collaborate with program and product stakeholders to translate governance policies, security requirements, and compliance standards into technical implementations.</p><p>· Support governance operations, incident resolution, root cause analysis, and continuous process improvement initiatives.</p><p>· Participate in evaluations, testing, and implementation of new governance, catalog, quality, and security technologies.</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>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 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>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>
<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 a <strong>Senior Software Engineer</strong> to join a high-impact engineering team focused on building and enhancing backend services that support dispute management, workflow automation, and risk mitigation capabilities within a SaaS platform.</p><p>This role will contribute to key initiatives such as platform modernization, decisioning workflows, alerting functionality, and scalable service delivery. In addition to strong technical depth, this position requires sound judgment, adaptability, and the ability to work effectively in a fast-paced, cross-functional environment. The ideal candidate is also highly proficient with AI-assisted development tools, including Claude Code, to accelerate delivery while maintaining software quality.</p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain Java-based backend services and REST APIs.</li><li>Build and improve alerting and configurable notification capabilities.</li><li>Partner on technical initiatives including database upgrades, integrations, scalability improvements, and containerized deployments.</li><li>Participate in release cycles, iterative feature delivery, and continuous improvement efforts.</li><li>Provide technical leadership through code reviews, mentorship, and active participation in planning and requirements discussions.</li><li>Manage multiple concurrent initiatives and shifting priorities while maintaining quality and delivery velocity.</li></ul>
<p>We are looking for a Data Automation Engineer to design, develop, and maintain scalable data automation solutions leveraging AWS cloud services, selected Azure technologies, and emerging Generative AI capabilities.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Design and implement scalable data automation workflows using AWS services with integration to Azure platforms.</p><p>· Develop and maintain ETL/ELT processes to ingest, transform, and move data across DynamoDB, SQL Server, Azure SQL, and other enterprise data sources.</p><p>· Build and support batch and near real-time data pipelines using Apache Spark and streaming technologies such as Kafka or Flume.</p><p>· Develop scalable data processing solutions utilizing Amazon EMR, AWS Fargate, Kubernetes, and related cloud technologies.</p><p>· Integrate REST APIs, external services, and Amazon Connect customer interaction data into analytics platforms.</p><p>· Evaluate and prototype Generative AI solutions using Amazon Bedrock, Azure OpenAI, Hugging Face, LangChain, and related technologies.</p><p>· Implement source control, CI/CD, and automation practices using GitHub, Azure DevOps, Jenkins, Docker, and Agile methodologies.</p><p>· Ensure data solutions meet security and compliance requirements, including IAM, encryption, RBAC, VPC isolation, and firewall policies.</p>
<p>Our client is seeking a Data Warehouse Engineer to support the design, development, and optimization of modern enterprise data platforms. This position will play a key role in building scalable data solutions for reporting, analytics, and business intelligence initiatives.</p><p>Responsibilities</p><ul><li>Design and develop ETL/ELT pipelines</li><li>Build and maintain enterprise data warehouses and data marts</li><li>Optimize SQL queries and data models for performance</li><li>Work with business stakeholders to deliver reporting solutions</li><li>Support Power BI, Tableau, or similar analytics platforms</li><li>Ensure data quality, integrity, and governance standards</li></ul><p><br></p>
<p>We are seeking a Senior Cloud Security Engineer to help protect and secure enterprise cloud environments across Azure and AWS. This role will focus on security architecture, threat detection, incident response, and the implementation of cloud security best practices.</p><p>Responsibilities</p><ul><li>Design and implement cloud security controls across Azure and AWS</li><li>Manage and enhance SIEM, EDR, and vulnerability management platforms</li><li>Investigate security incidents and perform root-cause analysis</li><li>Implement Zero Trust and identity security initiatives</li><li>Conduct security assessments and support remediation efforts</li><li>Develop security automation using PowerShell or Python</li><li>Partner with infrastructure and application teams to improve security posture</li></ul><p><br></p>