Azure data engineer jobs in Elizabeth, New JerseyCreate job alerts

Intellibus designs and engineers platforms trusted by some of the most established FinTech and financial trading firms in the world. Our engineering teams build systems that power high-volume trading, real-time financial data, and mission-critical infrastructure. We expect our engineers to operate at a level where technical depth, sound judgment, and clear communication all carry weight — the problems are complex, the systems are production-critical, and the people you work with will hold you to a high standard. The Staff Engineer Role We are hiring a Staff Engineer to design, build, and own full-stack systems powering financial platforms — from frontend architecture to backend services to distributed event-driven infrastructure. This is not a role where you pick up tickets and ship features. You will be expected to think end-to-end: to understand the business problem, design the system, make the trade-offs, and deliver production-grade software that performs reliably under heavy load. You will work directly with senior stakeholders across technical and non-technical functions, often navigating competing priorities, ambiguity, and high-pressure timelines. The ability to communicate clearly, manage complexity across people and systems, and maintain a high quality bar when things get difficult is essential. If you have built and shipped systems that mattered — at a startup, at a large company, or somewhere in between — and you are looking for a role where you will be challenged technically while also growing your ability to operate in complex, high-stakes environments, we want to hear from you. What You Will Do Frontend Architecture • Build scalable frontend platforms using React, Next.js, and TypeScript., • Design modern UI architectures: server-side rendering, component-driven design, performance optimization, and state management patterns., • Develop reusable component systems and scalable frontend frameworks. Backend Engineering • Build backend services using Node.js and NestJS., • Design and implement REST APIs, microservices, asynchronous workflows, and high-performance data processing systems., • Work with SQL and NoSQL databases using TypeORM, and optimize for throughput and reliability. Event-Driven & Distributed Systems • Design distributed systems built on event-driven architecture using Kafka, Azure Service Bus, Azure Event Grid, and messaging/queue systems., • Build services that process high-volume financial events and real-time trading data. Cloud & Infrastructure • Deploy and operate systems on Microsoft Azure, including Azure App Services, Azure Data Fabric, messaging platforms, Docker, CI/CD pipelines, and Linux environments., • Design infrastructure that supports resilient, scalable distributed systems. What Sets You Apart We are looking for engineers who demonstrate several of the following: • You have designed and operated event-driven distributed systems that process high-volume real-time data., • You have a deep understanding of algorithms, data structures, and time complexity — and you apply that understanding to build systems, not just pass interviews., • You have built full-stack platforms using React/Next.js and Node.js/NestJS that run reliably in production., • You have hands-on experience with message queues, streaming platforms, and asynchronous workflows — Kafka, Azure Service Bus, BullMQ, or similar., • You reason clearly about system trade-offs: latency vs. throughput, consistency vs. availability, speed vs. reliability., • You have operated systems in cloud environments like Microsoft Azure, including debugging production incidents and improving performance under pressure., • You design systems end-to-end and take ownership of architecture and production outcomes — not just the code you wrote., • You have mentored other engineers and contributed to architecture reviews, engineering standards, and technical decision-making., • You communicate well under pressure. You can hold your ground in a room full of stakeholders, explain a technical decision to a non-technical audience, and navigate situations where the right path forward is not obvious. Technology Ecosystem Frontend: React, Next.js, TypeScript, JavaScript, TailwindCSS, HTML5, CSS3. Backend: Node.js, NestJS, REST APIs, Microservices, BullMQ, TypeORM. Event-Driven: Kafka, Azure Service Bus, Azure Event Grid. Infrastructure: Microsoft Azure, Azure Data Fabric, Docker, CI/CD, Infrastructure-as-Code, Linux. Data: SQL, NoSQL, Azure Data Fabric. Our Process • 15-minute video call with someone from our team., • 4 Proctored GQ Tests (under 2 hours)., • 30–45 minute final video interview., • Job offer. If this sounds like the kind of work you want to be doing, apply now. Our team will be in touch within the hour.

Intellibus designs and engineers platforms trusted by some of the most established FinTech and financial trading firms in the world. Our engineering teams build systems that power high-volume trading, real-time financial data, and mission-critical infrastructure. We expect our engineers to operate at a level where technical depth, sound judgment, and clear communication all carry weight — the problems are complex, the systems are production-critical, and the people you work with will hold you to a high standard. The Staff Engineer Role We are hiring a Staff Engineer to design, build, and own full-stack systems powering financial platforms — from frontend architecture to backend services to distributed event-driven infrastructure. This is not a role where you pick up tickets and ship features. You will be expected to think end-to-end: to understand the business problem, design the system, make the trade-offs, and deliver production-grade software that performs reliably under heavy load. You will work directly with senior stakeholders across technical and non-technical functions, often navigating competing priorities, ambiguity, and high-pressure timelines. The ability to communicate clearly, manage complexity across people and systems, and maintain a high quality bar when things get difficult is essential. If you have built and shipped systems that mattered — at a startup, at a large company, or somewhere in between — and you are looking for a role where you will be challenged technically while also growing your ability to operate in complex, high-stakes environments, we want to hear from you. What You Will Do Frontend Architecture • Build scalable frontend platforms using React, Next.js, and TypeScript., • Design modern UI architectures: server-side rendering, component-driven design, performance optimization, and state management patterns., • Develop reusable component systems and scalable frontend frameworks. Backend Engineering • Build backend services using Node.js and NestJS., • Design and implement REST APIs, microservices, asynchronous workflows, and high-performance data processing systems., • Work with SQL and NoSQL databases using TypeORM, and optimize for throughput and reliability. Event-Driven & Distributed Systems • Design distributed systems built on event-driven architecture using Kafka, Azure Service Bus, Azure Event Grid, and messaging/queue systems., • Build services that process high-volume financial events and real-time trading data. Cloud & Infrastructure • Deploy and operate systems on Microsoft Azure, including Azure App Services, Azure Data Fabric, messaging platforms, Docker, CI/CD pipelines, and Linux environments., • Design infrastructure that supports resilient, scalable distributed systems. What Sets You Apart We are looking for engineers who demonstrate several of the following: • You have designed and operated event-driven distributed systems that process high-volume real-time data., • You have a deep understanding of algorithms, data structures, and time complexity — and you apply that understanding to build systems, not just pass interviews., • You have built full-stack platforms using React/Next.js and Node.js/NestJS that run reliably in production., • You have hands-on experience with message queues, streaming platforms, and asynchronous workflows — Kafka, Azure Service Bus, BullMQ, or similar., • You reason clearly about system trade-offs: latency vs. throughput, consistency vs. availability, speed vs. reliability., • You have operated systems in cloud environments like Microsoft Azure, including debugging production incidents and improving performance under pressure., • You design systems end-to-end and take ownership of architecture and production outcomes — not just the code you wrote., • You have mentored other engineers and contributed to architecture reviews, engineering standards, and technical decision-making., • You communicate well under pressure. You can hold your ground in a room full of stakeholders, explain a technical decision to a non-technical audience, and navigate situations where the right path forward is not obvious. Technology Ecosystem Frontend: React, Next.js, TypeScript, JavaScript, TailwindCSS, HTML5, CSS3. Backend: Node.js, NestJS, REST APIs, Microservices, BullMQ, TypeORM. Event-Driven: Kafka, Azure Service Bus, Azure Event Grid. Infrastructure: Microsoft Azure, Azure Data Fabric, Docker, CI/CD, Infrastructure-as-Code, Linux. Data: SQL, NoSQL, Azure Data Fabric. Our Process • 15-minute video call with someone from our team., • 4 Proctored GQ Tests (under 2 hours)., • 30–45 minute final video interview., • Job offer. If this sounds like the kind of work you want to be doing, apply now. Our team will be in touch within the hour.

Job Title : Microsoft Purview Data Governance Specialist Job Location : Newark, NJ Job Description We are seeking a Data Governance Engineer with deep, hands-on experience implementing and operating Microsoft Purview in complex, enterprise-scale data environments. This role will be embedded within data engineering and governance teams and will be responsible for designing, deploying, enhancing, and automating Purview-based governance capabilities that support trusted data, regulatory compliance, and AI-enabled insights. The ideal candidate combines strong technical expertise with the ability to communicate clearly with both technical and non-technical stakeholders, and thrives in agile, collaborative environments. Required skills • 8+ years of experience in data engineering, analytics engineering, or data governance, • 5+ years with Hands-on production experience implementing and configuring Microsoft Purview components including Collections, Scanners, Metadata catalog, Classifications, Glossary, and Lineage, • Demonstrated ability to maintain and enhance existing Purview deployments by resolving scan, lineage, and metadata issues, • Experience developing automation using Microsoft Purview REST APIs and SDKs, • Experience with Purview Data Quality including profiling, rules, thresholds, and monitoring, • Experience with Purview Workflow for approval processes and governance automation, • Ability to build custom Fabric reports and dashboards using data from Microsoft Purview, • Ability to implement solutions that enable AI-driven insights and automation, • Strong knowledge of Azure and AWS data services, • Proficiency in Python. Additional Qualifications • Experience working in agile delivery models, • Experience in financial services technology is a strong plus, • Ability to document technical implementations clearly for technical and non-technical audiences, • Experience working embedded with data engineering and governance teams, • Comfortable participating in team syncs and presenting technical solutions to stakeholders The base compensation range for this role in the posted location is:115764-127985 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave, • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada), • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada), • Life and disability insurance, • Employee assistance programs Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:We are seeking a highly motivated IT Systems Support Engineer to be based at our New Jersey headquarters. As our second IT hire, you will be a key bridge between hands-on user support and deep-tier systems engineering, reporting directly to and collaborating closely with Thea Energy’s Director - IT across all things infrastructure, security, and support. This is a high-impact, high-ownership role for someone who enjoys building robust systems from the ground up. You'll ensure our scientists, engineers, and executives have a frictionless path to the tools they need - with a leading role in shaping how the Company’s digital foundation is built.Key Responsibility Areas:This role spans both strategic and operational IT, from supporting our scientists and engineers day-to-day to building the systems and automation that scale with the Company. • Own day-to-day IT operations as a primary point of contact for user support, while continuously building and improving the underlying infrastructure., • Design and deploy automated workflows to ensure smooth employee onboarding, offboarding, and lifecycle transitions., • Manage physical and virtual server environments, ensuring high availability, consistent patching, and strong security practices., • Optimize cloud environments, manage identity and access, and maintain a strong security posture across the organization., • Maintain office and lab network infrastructure - including VPNs, firewalls, switches, and Wi-Fi - ensuring reliable, low-latency connectivity., • Build and maintain a thorough knowledge base: clear documentation and infrastructure diagrams that the whole team can rely on., • Manage hardware and software lifecycles, including inventory, procurement, and vendor relationships., • Administer and maintain our MDM environment: managing device enrollment, compliance policies, and configuration profiles across Windows and macOS., • Implement and uphold security best practices to protect mission-critical intellectual property and research data., • Proactively identify and reduce technical debt through automation and process improvement.Ideal Experience & Skillsets:, • 5+ years of experience in systems engineering and desktop support across Windows and macOS., • Proficiency in PowerShell, Python, or similar scripting/automation tools., • Experience managing network infrastructure, including firewalls, switches, and access points., • Hands-on experience with at least one major cloud platform (Azure, GCP, AWS, or Google Workspace/O365)., • Experience with modern IT ticketing systems (e.g., ServiceNow, Zendesk, Freshdesk) and structured support workflows., • Strong documentation skills - able to translate complex systems into clear diagrams and written guides., • Excellent communication skills - comfortable explaining technical issues to both engineers and non-technical stakeholders., • A collaborative, low-ego approach: equally comfortable supporting a user with a hardware issue and leading a server migration., • Ability to thrive in a fast-moving, high-growth environment where priorities can shift quickly., • Experience across multiple cloud platforms (Azure, GCP, AWS, Google Workspace/O365)., • Background working in a startup, research, or scientific/engineering environment., • Familiarity with compliance frameworks or security standards (SOC 2, NIST, etc.)., • Experience with email security platforms (e.g. Barracuda, Proofpoint, Mimecast)., • Familiarity with Security Awareness Training tools (e.g. NINJIO, KnowBe4, Proofpoint).Company Benefits:, • Salary range $85,000-$145,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview "Applicants must be authorized to work for any employer in the United States. Selective will not sponsor or assume the sponsorship of an employment visa at this time". Note: (For NJ candidates) This role will be located at our future headquarters in Short Hills, N.J. Until the new headquarters is operational, the successful candidate will be offered the ability to work in our Branchville, N.J. location during this interim period. Selective Insurance is seeking an energetic and collaborative Data Engineer Specialist to work on Data and Analytics projects supporting the Claims Analytics team within the Information Management group. This group is responsible for all Data Engineering, Machine Learning Engineering, Analytics and Reporting for the Claims business area. The candidate must be hands-on with expert technical skills and a proven track record of project delivery. Responsibilities • Hands on development and support of new or existing data applications., • Works closely with the lead to create/review low level implementation designs, understand high level data flow designs developed by Data Architects., • Provide technical guidance to the team and work on implementing complex data solutions., • Provide support in the design, development, code reviews, test deploy and documentation of Data Engineering and Data Integration Applications., • Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments., • Provide technical leadership and mentor junior data engineers., • Work closely with Product Owners, Product Managers, Program Manager, Scrum Master, and Team Members in a Scaled Agile framework., • Closely monitor the health of data pipelines and develop contingency plans for failures., • Maintain detailed documentation to support downstream integrations., • 5-7 of experience in Data Warehousing, Data integration or Data Engineering projects, • Ability to effectively work well with people in other departments and/or outside of the enterprise., • Expert-level proficiency inPython, SQL, and Spark; strong experience withcloud platforms(Azure, AWS, or GCP)., • Expert level experience in Databricks and Delta Lake., • Proven track record of buildingenterprise-scale data platformssupporting advanced analytics and machine learning., • Experience withstreaming architectures(Kafka, Kinesis) andevent-driven data processing., • Strong knowledge ofdata security, encryption, and access controlin regulated environments., • Advanced working knowledge of SQL and optimizing queries and databases for performance., • Ability to debug and resolve complex issues internally and work with external vendors and service providers., • Good understanding and hands on experience in developing and managing CI/CD pipelines, • Good understanding of Data Structures and Data Models., • P&C Insurance experience is highly desired., • Bachelor's degree in computer science or related engineering field preferred., • Certifications in cloud platforms (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate) Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our ___. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $123,000.00 - USD $157,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview Selective is seeking a Principal Network Infrastructure Engineer, to partner with Architects and Engineers in the IT network infrastructure, supporting our business platforms and continuously improving to meet the evolving needs of our business community. The Engineer will provide technical leadership to the team to help drive the strategic initiatives, and "Cloud First" direction of Selective Insurance. The network engineer is also required to document designs and creations and share their findings with others. Responsibilities • Provide leadership in IT for the development of highly appropriate, tightly integrated, consistently available, secure, flexible, and fault-tolerant solutions, • Ability to Design and implement standardized methodologies to deploy and maintain routing and switching, LAN/WAN, wireless network, load balancers, cloud infrastructure networking components, network monitoring tools, WAN acceleration, SD WAN and other relevant technologies, • Ability to lead network implementation by taking ownership of a project and being accountable for its success, including providing executive summary status reports, • Ability to design enterprise network routing architectures using protocols such as Open Shortest Path First (OSPF), Border Gateway Protocol (BGP), and Enhanced Interior Gateway Routing Protocol (EIGRP)., • Knowledge of SDN concepts and familiarity with Python, REST, model-driven programmability, containers and other modern aspects of network engineering, • Strong background in data center networking technologies like Cisco IOS, NXOS, Cisco VPC, Spine-Leaf designs, OTV and VXLAN layer2 extensions, etc., • Work with architecture team to prepare recommendations and supporting details for formal project proposals for network connectivity and configurations, • Perform as SME escalation in support of IT operational organization during complex highly impactful outages that can cross multiple functional domains, involving chronic recurring problems, vendor product bugs and other critical network functionality, • Ensure all engineered solutions have sufficient design documentation available including HLD and LLD documents., • Ensure all engineered solutions and features take operational needs into account and provide the Operations team with sufficient documentation, training and standard operating procedures that support daily operation, maintenance, upgrades and support escalations for the solution., • Identify areas for enhanced efficiency through automation, suggested process improvements and streamlined workflow., • College degree in Computer Science or a related field preferred., • 10 + years of relevant experience in a fast-paced, enterprise-level environment including leadership roles, • Ability to create accurate network diagrams and documentation for design and planning network layout and communication systems., • Experienced in Azure Cloud networking, • Advanced level knowledge of many of the following technologies: Cisco Catalyst and Nexus switches; Cisco routers; Cisco Meraki wireless LAN; Cisco ISE; F5 LTM, APM and iRules; Palo Alto firewalls, including Prisma Access; Cloud based technologies (Azure, AWS and GCP) is required, with a strong understanding of and experience with Azure; Palo Alto SD WAN; SolarWinds., • Network certifications required from leading network vendors: Cisco (CCNA, CCNP, CCIE); F5; Microsoft Azure., • Ability to work with vendors and research product offerings to determine appropriate solutions. Ability to review, evaluate and make recommendations on vendor SOW's, BOM's and proposals., • Demonstrated ability to successfully communicate to all levels of IT, including producing status reports interface with stakeholders and report to IT leadership., • Drive alignment of network engineering initiatives with business objectives and measurable KPIs., • Mentor and coach less senior engineers to build team capability and foster professional growth., • Champion Agile, DevOps, and modern delivery practices within network engineering projects., • Engage proactively with business stakeholders and cross-functional teams to ensure solutions meet enterprise needs., • Lead innovation efforts by identifying technical debt, proposing modernization strategies, and implementing automation., • Collaborate with leadership to define success metrics and report progress against KPIs., • Promote diversity, equity, and inclusion within the team and contribute to an inclusive culture., • Advocate continuous learning and career development opportunities for team members. Total Rewards Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our ___. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $150,000.00 - USD $192,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview "Applicants must be authorized to work for any employer in the United States. Selective will not sponsor or assume the sponsorship of an employment visa at this time". Note for NJ candidates: This role will be located at our future headquarters in Short Hills, N.J. Until the new headquarters is operational, the successful candidate will be offered the ability to work in our Branchville, N.J. location during this interim period. As Lead Software Engineer, you will drive technical direction and execution for robust, scalable, and maintainable enterprise software solutions within our cloud-first environment. You will champion engineering discipline by enforcing coding standards, architectural principles, and best practices throughout the development lifecycle. This role is pivotal in guiding engineers, conducting thorough code reviews, leading by example in modern engineering practices, and fostering a culture of continuous improvement and technical excellence. You will also architect and integrate AI-powered features using Azure AI Services, helping deliver intelligent solutions that align with our business objectives. Responsibilities • Lead the design, development, and deployment of cloud-native, full-stack applications with .NET and Azure, ensuring scalability, performance, and reliability., • Establish and enforce coding standards, design patterns, and architectural guidelines across software projects., • Champion best practices in automated testing, CI/CD pipelines, Infrastructure-as-Code (Terraform, Bicep, ARM), and rigorous documentation., • Architect and integrate AI capabilities using Azure AI Services (Cognitive Services, ML, OpenAI, Bot Services) for predictive analytics, NLP, and intelligent automation., • Conduct code reviews, provide constructive feedback, and mentor engineering talent in cloud-native, AI, and agile delivery practices., • Collaborate with product, QA, and cross-functional teams to clarify requirements, refine technical solutions, and deliver features aligned to business needs., • Continuously evaluate and adopt new technologies, tools, and methodologies to improve productivity, quality, and security., • Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline., • 7+ years of hands-on experience in software engineering and architecture, with deep knowledge of .NET (C#, ASP.NET Core) and Azure cloud services., • Advanced proficiency in Azure AI Services for developing and deploying enterprise AI-driven solutions., • Expertise in microservices, API-first design (REST/GraphQL), event-driven systems, and container orchestration (Docker, Kubernetes)., • Proficiency in DevOps, CI/CD, Infrastructure-as-Code, and Agile/Scrum/SAFe methodologies., • Strong code review, testing, problem-solving, and leadership skills., • Experience integrating AI features via REST APIs or SDKs into business applications., • Business Process Management (BPM) implementation experience, especially with Pega, is a plus., • Experience with Python, and familiarity with machine learning/deep learning frameworks such as TensorFlow and PyTorch., • Hands-on with additional BPM tools (Camunda, Appian)., • Front-end frameworks (Angular, React), advanced SQL, and data streaming technologies (Kafka, RabbitMQ)., • Knowledge of data privacy, compliance, and security requirements for cloud and AI adoption. Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our ___. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $119,000.00 - USD $163,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Job Title: Senior Data Engineer Location: Newark, NJ Duration: 12 months Job Description Senior Data Governance Engineer (Microsoft Purview) with deep, hands-on experience implementing and operating Microsoft Purview in enterprise data environments. Required Skills and Qualifications • 5+ years experience in data engineering, analytics engineering, or data governance, • 3+ years Hands-on production experience implementing and configuring Microsoft Purview components including Collections, Scanners, Metadata catalog, Classifications, Glossary, and Lineage, • Demonstrated ability to maintain and enhance existing Purview deployments by resolving scan, lineage, and metadata issues, • Experience developing automation using Microsoft Purview REST APIs and SDKs, • Experience with Purview Data Quality including profiling, rules, thresholds, and monitoring, • Experience with Purview Workflow for approval processes and governance automation, • Ability to build custom Fabric reports and dashboards using data from Microsoft Purview, • Ability to implement solutions that enable AI-driven insights and automation, • Strong knowledge of Azure and AWS data services, • Agile experience, • Financial services tech experience is plus, • Ability to document technical implementations clearly for technical and non-technical audiences, • Experience working embedded with data engineering and governance teams, • Comfortable participating in team syncs and presenting technical solutions to stakeholders

Job DescriptionThe Opportunity:The Implementation Engineer is responsible for the hands-on technical deployment, configuration, and validation of SPHEREboard within enterprise client environments. Working closely with the Implementation Manager, project stakeholders, and customer IT/security teams, this role ensures the successful integration of SPHEREboard with client infrastructure, identity systems, and data sources. This position requires strong technical troubleshooting skills, experience interacting directly with clients, attention to detail, and an understanding of enterprise security and identity governance ecosystems. Key Responsibilities:1. Deployment & Configuration • Install, configure, and validate SPHEREboard components, including connectors, agents, and data collectors., • Integrate SPHEREboard with Active Directory, Azure AD, Okta, LDAP, cloud platforms, and data repositories., • Execute technical implementation tasks according to project timelines and requirements., • Validate proper data ingestion, normalization, and visualization within SPHEREboard.2. Technical Discovery & Requirements Gathering, • Collaborate with the client and internal teams to collect technical and security requirements., • Analyze existing infrastructure and identify integration points with SPHEREboard., • Document all environmental configurations and technical assumptions.3. Troubleshooting & Issue Resolution, • Diagnose and resolve deployment issues related to network access, authentication, data pipelines, and connector configurations., • Work with Engineering and Product teams to escalate and resolve complex technical problems., • Implement solutions with a security-first mindset and in compliance with client policies.4. Documentation & Knowledge Sharing, • Create and maintain technical documentation for each deployment, including environment details, integration steps, and validation results., • Contribute to internal knowledge bases, deployment guides, and reusable scripts., • Provide feedback to Product and Engineering on platform usability and deployment challenges.5. Collaboration & Support, • Work under the direction of the Implementation Manager to execute scoped tasks and report status., • Participate in internal stand-ups, client check-ins, and retrospectives., • Support training and knowledge transfer to customer administrators’ post-deployment. Why Join Us:, • Deployment quality and accuracy (e.g., data integrity, connector success rate)., • Time-to-completion of assigned implementation phases., • Client satisfaction with technical execution., • Frequency and resolution time of escalated technical issues., • Adherence to internal processes, documentation, and quality standards. About Sphere:SPHERE is a leading innovator in Identity Hygiene/Intelligence space, helping global enterprises reduce risk, ensure compliance, and achieve security maturity. We work closely with an ecosystem of technology partners, integrators, and alliances to deliver solutions that protect what matters most — people, data, and trust. To find out more about SPHERE and our solutions, please visit SPHERE is an equal-opportunity employer. Applicants will be evaluated without regard to race, color, religion, sex, national origin, disability, veteran status, and other legally protected characteristics. Powered by JazzHR to2bcoz78S

Job Description Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions. As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production. The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems. Requirements Key Responsibilities: • Design and implement AI algorithms and models to solve real-world problems., • Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions., • Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes., • Develop technical documentation as well as customer-facing documentation and presentations., • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field., • 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production., • Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn., • Experience with cloud-based AI services such as AWS, Google Cloud, or Azure., • Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions., • Experience with natural language processing (NLP) or computer vision applications., • Knowledge of MLOps principles and tools. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #LI-remote

Job Description Be Part Of A High-Performing Team: Join a large, globally recognized financial services environment where cybersecurity, data governance, and operational resilience are mission-critical. This team sits at the intersection of information security, insider risk, and data engineering, supporting initiatives that strengthen enterprise protection through better visibility, centralized governance, and scalable data platforms. The environment is collaborative, delivery-focused, and highly cross-functional, with close partnership across security engineering, data operations, and business-aligned data owners. This role offers the chance to contribute to a high-impact modernization effort focused on building a more unified and actionable cybersecurity data ecosystem. What’s In Store For You: Engagement: W2 only (no C2C/1099) This opportunity offers the chance to work on a long-term cybersecurity data initiative in a hybrid setting, partnering with teams responsible for insider risk, data operations, and security engineering. The role provides exposure to enterprise-scale Azure data architecture, modern lakehouse design, and secure ingestion frameworks supporting sensitive risk and governance programs. It is well suited for a senior engineer who enjoys blending hands-on development with cross-functional technical partnership and agile delivery ownership. How You Will Make An Impact: • Design and build secure, scalable Azure-based data pipelines supporting a centralized cybersecurity data lakehouse, • Develop ingestion frameworks for data tied to insider risk programs, including DSPM, DLP, and related security data domains, • Partner with data owners, insider risk stakeholders, and security engineering teams to translate data requirements into technical solutions, • Help standardize and govern data flows that improve visibility, access, and operational control across the security ecosystem, • Serve as a technical liaison across multiple teams, driving alignment on dependencies, timelines, and delivery expectations, • Provide routine updates to sprint plans and ensure work progresses in line with internal agile and SDLC processes, • Support data quality, security, compliance, and operational reliability across the Azure data platform, • 10+ years of experience in data engineering, data platform development, or related enterprise data roles, • Strong hands-on experience building Azure data solutions in complex production environments, • Proven expertise with Azure Synapse, Azure Data Factory, and Databricks, • Experience designing and maintaining ingestion pipelines, data lakes, and cloud-based data transformation workflows, • Strong understanding of data governance, data security, and compliance considerations in regulated environments, • Experience partnering with cross-functional stakeholders, including engineering teams, business data owners, and security organizations, • Ability to manage multiple priorities, follow through on technical dependencies, and communicate progress in agile sprint environments, • Strong problem-solving skills, ownership mentality, and ability to operate effectively in a fast-paced enterprise setting, • Azure certifications are valued, • Experience supporting cybersecurity, insider risk, DLP, DSPM, or security analytics programs is strongly preferred

Job DescriptionAHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. The AHEAD Security Specialty Solutions Engineer (SSE) will be focused on security technologies and solutions. The SSE is considered a subject matter expert in this area, with responsibility for selling and designing complex security solutions. The SSE is also considered an organizational thought leader for security within the company. You will work in partnership with sales representatives, practice leaders, and other SSE team members to build a market strategy and assist with account planning for existing and prospective clients. As part of this strategy, you will help sales representatives identify potential security technologies and vendors to partner with for individual clients or in a given region. You will assist with driving this strategy throughout a given campaign. In partnership with other senior and principal SSEs in your practice, you will assist with diagrams, bill of materials, proposal content, and other documentation associated with active security sales campaigns. You will also assist with achieving the proper training and certifications necessary to sell the security solutions we are positioning. Time management and prioritization are essential attributes to be successful. In this capacity, you will work to define security strategies, compare and contrast alternative approaches, and build key relationships, as well as size and configure security products. Positioning and leveraging subject matter experts and other AHEAD consultants is a necessity to scale your effectiveness within accounts. Roles and Responsibilities • Active participation in the AHEAD Security team and related virtual teams., • Be a thought leader within the Solutions Engineering organization, responsible for designing, architecting, and, at times, consulting for AHEAD clients in the security domain., • Build skills, relationships, and industry credibility across many segments to drive product, services, and consulting sales in the security space., • Support the sales teams during engagements by providing advice, solutions, or proposals optimized to meet customer technical and business requirements., • Develop relationships with other Security SSE team members, leaders, and partners in support of sales objectives., • Strategize and execute technical sales calls., • Complete required pre-sales documentation (configurations, pricing, services, presentations, justifications, etc.) quickly and accurately., • Qualify sales opportunities in terms of customer technical requirements, decision-making process, and funding., • Present and market the design and value of proposed AHEAD security solutions and business justifications to customers, prospects, and AHEAD management., • Participate in the mentorship of entry-level team members., • Possess strong, detailed product/technology/industry knowledge in the security domain., • Knowledge of job-associated software and applications. Qualifications, • Experience with any SASE vendor is a significant differentiator, • 3 – 5 years technical experience with security controls in one or more areas such as: Firewalls, IDS/IPS, NTA, NDR, NGAV, EDR, SIEM, Vulnerability Scanning, DLP, Penetration Testing, • Experience in architecture design that brings together and integrates solutions across multiple vendors, • 3 - 5 years acting as a consultant for clients, advising on technical solutions and participating in pre-sales and solution development., • Familiarwith Public Cloud providers: AWS, Azure, GCP, • Ability to grasp new technology concepts quickly and assist others in understanding them as well., • Ability to evaluate new technologies and provide internal training, • Ability to understand customer needs, define requirements, and design solutions, • Ability to develop and present architectural recommendations and implementation/ assessment services, • Expertise with Vendor Configuration Tools Preferred Skills, • Excellent written and verbal communication skills, • Excellent presentation skills, • Strong Technical Aptitude, • Provide technical leadership assuring quality, maximizing team output, • Self-motivated Preferred Certifications, • Industry: CISSP, CISA

Job Description Be Part Of A High-Performing Technology Team Join a forward-thinking Commercial Banking technology organization dedicated to building modern, scalable integration platforms that power mission-critical financial systems. This team operates at the center of enterprise application connectivity—designing and delivering high-performance middleware and API solutions that enable seamless communication across global systems and stakeholders. The environment is collaborative, Agile-driven, and innovation-focused, with engineers working closely alongside Product Owners, QA teams, architects, and international business partners. The team values clean architecture, engineering best practices, and thoughtful modernization, while maintaining the stability and rigor required in a regulated financial environment. This role offers the opportunity to contribute to enterprise-scale API platforms supporting global banking operations, including cross-border collaboration with Japanese and English-speaking stakeholders. What’s In Store For You • Opportunity to work on large-scale, customer-facing API platforms within Commercial Banking, • Exposure to modern cloud environments and DevOps practices, • Collaborative Agile team culture with strong engineering standards, • Long-term, high-impact initiatives focused on scalability and modernization, • Design, develop, and maintain scalable middleware and RESTful API applications using Java and Kotlin, • Partner with global stakeholders (Japanese and English-speaking) to translate business requirements into technical solutions, • Contribute to application architecture and apply design patterns to ensure scalability and performance, • Write high-quality, maintainable code with unit testing and automation, • Participate in code reviews and promote engineering best practices, • Support CI/CD pipelines and deployment processes in cloud environments (AWS, Azure, or GCP), • Collaborate within Agile sprint cycles to prioritize and deliver features, • 8–10+ years of application development experience, with strong expertise in Java (Kotlin experience is a plus), • Demonstrated experience designing and supporting customer-facing RESTful APIs, • Strong understanding of JSON, web services technologies, and data structures, • Experience applying design patterns in scalable, enterprise-grade applications, • Hands-on experience with Git, Jira, CI/CD tools, and DevOps practices, • At least 1 year of experience working with public cloud platforms (AWS, Azure, or Google Cloud), • Proven ability to deploy applications to production and support the full application lifecycle, • Experience working in Agile development environments, • Professional-level bilingual fluency in Japanese and English (written and verbal), with ability to collaborate across global teams, • Bachelor’s degree in Computer Science or equivalent experience, • Financial services or banking industry experience preferred

Job Description Are you ready to shape the future of authentication? Join 1Kosmos and help lead the next wave in identity assurance and passwordless innovation. 1Kosmos is driving the future of identity security, empowering organizations to eliminate passwords and establish trust at every step of the identity lifecycle. As a vibrant team of innovators, we develop advanced authentication solutions trusted by some of the world’s leading brands. Join us as we create a passwordless world and set new standards for digital identity assurance. We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture, data extraction, and fraud detection, delivering high-performance models that can run on both mobile devices and cloud environments. This role blends R&D with production engineering—you’ll take ownership of the full ML lifecycle, from dataset creation and model training to deployment and performance optimization. Key Responsibilities • Design and implement AI models for image classification, object detection, OCR, and feature extraction., • Develop real-time image quality assessment and capture guidance algorithms., • Create and maintain data pipelines for collecting, cleaning, augmenting, and labeling datasets., • Implement model optimization techniques for mobile (on-device) and cloud inference., • Apply fraud detection methods to identify tampering, forgeries, or replay attacks in visual data., • Integrate ML models into production-grade APIs and mobile SDKs., • Monitor, evaluate, and continuously improve model accuracy and performance., • Collaborate with product and engineering teams to align AI capabilities with business goals. Requirements • Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field (or equivalent experience)., • 3+ years of experience building and deploying ML models in production., • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar)., • Experience with computer vision libraries (e.g., OpenCV) and OCR technologies., • Strong understanding of deep learning architectures for image and text recognition., • Familiarity with cloud platforms (AWS, GCP, or Azure) and API development., • Strong problem-solving skills and ability to work in fast-paced environments., • Based in the NJ / NY area; Hybrid working model.Preferred Qualifications, • Experience with model quantization and optimization for mobile deployment., • Knowledge of synthetic data generation and data augmentation techniques., • Background in security, liveness detection, or anomaly detection., • Exposure to compliance and data privacy regulations (GDPR, CCPA)., • Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems., • Accelerated Growth: Receive annual stipends for certifications and attend key conferences like Identiverse or EIC., • Ownership & Impact: We move fast and will enable you to make a big impact with large customers in US & Canada., • Flexibility First: Unlimited PTO, and 2 days WFH

Job DescriptionOur client, a highly respected A-rated P&C Insurance Company, is seeking an experienced Senior Data Engineer (Azure) to join their growing IT department. This is a unique opportunity to spearhead data engineering initiatives and lead a team responsible for building and optimizing scalable data pipelines and architectures. The ideal candidate will bring a blend of technical depth, strategic thinking, and leadership experience to drive the company's data strategy forward. This role offers the flexibility to work remotely but candidate MUST reside in New Jersey or New York.Key Responsibilities: • Drive cloud-based data solutions using platforms such as Microsoft Azure (e.g., Data Factory, Synapse Analytics, Databricks)., • Actively design, build, and deploy application solutions by writing, testing, and maintaining code across the full stack or within low-code/no-code platforms as appropriate., • Work directly with stakeholders and technical partners to gather requirements and turn them into practical, scalable technical solutions., • Implement and refine application architectures, contributing code and configurations that improve performance, reliability, and maintainability., • Develop and execute automated unit and integration tests, and contribute directly to regression testing efforts to ensure high-quality releases., • Perform detailed code reviews, provide technical feedback, and apply best practices to improve overall code quality., • Collaborate daily with engineers, QA, automation specialists, analysts, and project managers to deliver features and enhancements on schedule., • Engage directly with external vendors and contract resources, supporting implementation efforts and ensuring alignment with technical standards. Qualifications / Requirements:, • 5 - 10+ years of hands-on experience in data engineering with advanced proficiency in SQL, Python, and big data tools (e.g., Spark, Databricks). Proven experience designing and managing ETL/ELT processes and pipelines in Azure or other cloud environments., • Strong foundation in application architecture and system design, with the ability to evaluate, structure, and scale solutions effectively., • Hands-on experience applying established design patterns to implement business logic within middle-tier services, leveraging web services and modern architectural principles as appropriate., • Experience building and supporting cloud-native solutions using Microsoft Azure, with exposure to services such as App Services, Azure Functions, AKS, Azure DevOps, Azure SQL, and related platform or infrastructure components., • Solid programming experience with C# and SQL, including hands-on work with SQL Server environments and associated tooling., • Demonstrated capability in designing, developing, and maintaining REST-based backend services, with familiarity in multi-layered API architectures that separate process and experience concerns., • Strong background in automated testing practices, including writing unit tests with dependency injection and mocking frameworks, as well as contributing to integration and regression testing strategies., • Practical knowledge of DevOps concepts, including CI/CD automation, pipeline configuration, and experience working within Agile delivery models., • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field from an accredited U.S. institution., • Microsoft Azure Data Engineering certification is strongly preferred.Salary / Benefits:, • $175,000 - $200,000+ annual base salary plus 10–20% performance bonus, • Flex schedule and ability to work remote, • Extremely competitive Medical, Dental, Vision, and Life insurance plans, • Employer matching 401(k) plan, • Generous PTO plan

Job DescriptionDescription: Hybrid 4 days on-site in Jersey City in Jersey City, NJ Our client seeks a senior back-end engineer to build scalable data services in Java and modernize critical custody systems. The role requires expertise in Spring-based microservices, distributed cloud services, and distributed data platforms. You will collaborate with product, quality, and cross-functional teams to solve design and architectural challenges and leverage open-source technologies. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $90.00 to $85.00/hr. w2 JN -042026-106337 #LI-JS1 Responsibilities: • Design and develop scalable back-end data services using Java frameworks., • Work within Agile methodology and share software development best practices with the team., • Collaborate with product owners, quality engineers, and cross-functional teams to deliver solutions and resolve design and architectural challenges., • Leverage open-source technologies to meet business needs., • 12+ years of software development experience., • Proven commercial experience with Java., • Strong knowledge of Spring, Spring Boot, Lombok, JUnit, and Swagger., • Experience building microservices., • Experience with distributed cloud services, preferably Azure., • Experience with distributed data technologies such as Kafka, MQ, or Spark., • Experience designing and integrating REST and GraphQL APIs., • Working knowledge of relational and in-memory databases including Oracle and Redis., • Familiarity with Angular (preferred)., • Hands-on experience with Snowflake (preferred)., • Proficiency in an additional programming language such as Python, C++, or Groovy (preferred)., • Experience with CI/CD tools such as Jenkins, Harness, Ansible, and Docker (preferred). W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: · When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc. · Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job DescriptionAutomation Engineer (Internal Tools/AI) Automation Engineer (AWS / AI / Internal Tools) NYC / Jersey City (Hybrid 1-2 days preferred) | Remote (U.S.) with travel (2-5x/year) $120K - $150K base + benefits About the Role We're partnering with a large, publicly traded company undergoing a major transformation in how internal systems are built and operated. This is a builder role. You'll take manual, inefficient processes and turn them into automated, AI-powered solutions using AWS, modern tooling, and low-code platforms where appropriate. The focus is speed, impact, and real business outcomes - not long development cycles. What You'll Do • Design and deploy automation solutions to replace manual workflows, • Build and orchestrate solutions using AWS (Lambda, Step Functions, Bedrock, etc.), • Develop internal tools using the right tool for the job (Power Platform, AI agents, or custom code), • Integrate systems via APIs, webhooks, OAuth, and SSO, • Build AI-assisted workflows and agent-based solutions, • Use AI tools (Copilot, Claude, etc.) to accelerate development, • Partner with business stakeholders to turn ambiguous problems into working solutions, • Ship solutions in days/weeks, not monthsMust-Haves, • Strong hands-on AWS experience (Lambda, Step Functions, or similar), • Active use of AI-assisted development tools (Copilot, Claude, etc.), • Experience building automation / internal tools / workflow solutions, • Strong experience with APIs (REST, JSON, webhooks), • Ability to move quickly across different tools and technologies, • Comfortable in fast-paced, ambiguous environmentsNice to Have, • Experience with Power Apps / Power Automate (not required, but helpful), • Experience building AI agents or LLM-based workflows, • Background with Azure or full-stack development, • SQL / data integration experienceWhat Success Looks Like (First 6 Months), • Multiple automations live and actively used by the business, • Manual processes replaced with scalable systems, • Rapid delivery of solutions in days/weeks, • Recognized as a go-to problem solver across teams, • Consistent use of AI tools to increase development velocityLocation, • Preferred: NYC or Jersey City (1-2 days/week in office), • Remote: Open, but must be willing to travel to NY/NJ for key meetings (2-5x/year)Who Thrives Here, • Builders who like moving fast and figuring things out, • Engineers who experiment with new tools and aren't afraid to fail, • Developers actively using AI to improve how they work, • People who prefer shipping solutions quickly vs. long dev cyclesAdditional Info, • Must be authorized to work in the U.S. (no sponsorship available) - For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 03/30/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

Job Description Be Part Of A High-Performing Team: Join a leading global financial institution recognized for its strong presence in corporate banking, investment banking, and financial services innovation. The technology division plays a critical role in driving data transformation initiatives across the Americas, supporting enterprise-scale systems and regulatory environments. This team operates in a fast-paced, highly collaborative environment focused on modernizing data infrastructure, improving data accessibility, and enabling advanced analytics across the organization. What's In Store For You: • Engagement: W2 only (no C2C/1099), • Opportunity to work on large-scale enterprise data platforms within a global financial services environment, • Exposure to modern cloud-based data engineering tools and frameworks, • Design, build, and maintain scalable ETL pipelines to support enterprise data initiatives, • Develop and optimize data workflows for ingestion, transformation, and storage, • Ensure data quality, integrity, and consistency across multiple data sources, • Collaborate with cross-functional teams including analytics, infrastructure, and business stakeholders, • Enhance performance and efficiency of data systems and storage solutions, • 5–7 years of experience in data engineering, ETL development, or data platform engineering, • Strong proficiency in Python and SQL for data processing and pipeline development, • Hands-on experience with cloud data tools such as AWS Glue, Azure Data Factory, or similar platforms, • Experience working with large-scale data environments and optimizing data workflows, • Solid understanding of data modeling, data warehousing, and data quality best practices, • Ability to troubleshoot data issues and implement scalable solutions, • Strong communication skills and ability to work in a hybrid team environment

Job Description Fortegra is building a next-generation engineering capability focused on AI-accelerated development and rapid application delivery. We are seeking Full Stack Engineers who thrive in fast-moving environments and have deep experience designing, building, and deploying enterprise-grade applications. The ideal candidate is a high-agency engineer with strong expertise in React-based front-end systems, modern backend frameworks, and secure public-facing application architecture, combined with hands-on experience using AI-driven development tools and agentic coding workflows. Domain experience in Insurance or Financial Services is a big plus. If you are excited about using tools like Claude Code, GitHub CoPilot, Cursor, Lovable, Replit, and other AI-native development tools to dramatically accelerate product development, we want to talk to you. What You’ll Do: Build and Ship Production Applications: • Architect and develop enterprise-grade full stack applications, • Design and build high-quality React front-end systems, • Develop scalable backend services using modern server-side frameworks, • Deploy secure public-facing applications in production environments, • Ensure performance, reliability, and maintainability of distributed systems AI-Accelerated Development: • Use AI coding tools such as Claude Code, CoPilot, Cursor, Replit, Lovable and similar environments to dramatically accelerate development cycles, • Implement AI-driven development workflows including agentic coding, prompt-driven engineering, and automated code generation, • Rapidly prototype and iterate on new product ideas, • Evaluate and integrate emerging AI developer tools Rapid Prototyping and Product Development: • Quickly build and validate new front-end applications and internal tools, • Partner with business stakeholders to transform ideas into working software, • Develop prototypes that evolve into production-ready enterprise systems, • Help establish Fortegra’s modern AI-first engineering culture Security and Production Readiness: • Design and implement secure architectures for public-facing applications, • Implement authentication, authorization, and secure API design, • Apply best practices in application security, cloud security, and compliance Required Qualifications: • 7+ years of professional software engineering experience, • Significant experience designing and deploying enterprise-grade applications, • Expert-level proficiency with React and modern front-end frameworks, • Strong experience with at least one server-side framework such as:, • Node.js / NestJS / Express, • Python (FastAPI, Django), • .NET Core, • Experience building and deploying secure public-facing applications, • Strong knowledge of API design, distributed systems, and cloud architectures, • Hands-on experience using AI coding tools such as:, • Claude Code, • Cursor, • GitHub Copilot, • Replit, • Experience with AI-assisted or agentic development workflows, • Insurance or Financial Services domain experience, • Experience building AI-enabled products or developer tooling, • Familiarity with LLMs, AI agents, and prompt engineering, • Experience with serverless and cloud-native architectures, • Experience deploying applications in AWS, Azure, or GCP, • Experience building internal platforms or developer tooling, • Work in an AI-first engineering environment, • Use modern AI developer tools to dramatically accelerate development, • Build production applications from prototype to deployment, • Help shape Fortegra’s next generation product platform $110,000 – $190,000 base salary, commensurate with experience. Fortegra is not accepting unsolicited resumes from search firms for this position. Recruitment Updates Fortegra has recently been made aware of unauthorized communications regarding career opportunities by individuals not associated with Fortegra or our recruitment team. Fortegra will only contact you from the Fortegra domain address (@fortegra.com). If you receive a message from someone posing as a Fortegra recruiter via text message, WhatsApp, Telegram or other messaging platform, please report it as phishing and block the sender. Internal Notice: As part of our commitment to talent development, this position is open for internal promotion applications at the time of public posting. #LI-Onsite

Job Description Be Part Of A High-Performing Team: Join a globally recognized financial services organization operating at the forefront of banking and technology innovation. This team sits within a large-scale enterprise technology division supporting critical systems across the Americas. The environment is fast-paced, highly collaborative, and focused on delivering secure, scalable, and high-impact solutions. Engineers here work on modernizing backend systems, enabling data-driven applications, and supporting mission-critical platforms used across the business. What’s In Store For You: • Engagement: W2 only (no C2C/1099), • Opportunity to contribute to enterprise-scale systems within a leading financial institution, • Exposure to modern backend engineering, APIs, and data-driven application development, • Design, develop, and maintain scalable backend applications using Python, • Build and enhance RESTful APIs to support internal and external systems, • Integrate databases, third-party platforms, and enterprise services into applications, • Write clean, efficient, and well-documented code aligned with best practices, • Conduct unit testing, debugging, and performance optimization to ensure reliability, • Collaborate with cross-functional teams to gather requirements and deliver solutions, • 10+ years of experience in software development with strong Python expertise, • Proven experience building backend systems, APIs, and scalable applications, • Strong understanding of data structures, algorithms, and object-oriented programming, • Experience with RESTful services, database integration (SQL/NoSQL), and version control (Git), • Familiarity with cloud platforms (AWS/Azure), DevOps tools, or CI/CD pipelines is a plus, • Exposure to front-end technologies is beneficial but not required, • Strong analytical thinking, problem-solving skills, and ability to work independently or within agile teams, • Excellent communication skills and ability to collaborate across technical and business stakeholders

Job DescriptionSenior Systems Engineer /Core Infrastructure, VMware *US Citizens or GC Holders *On-site daily in Jersey City, NJ Position Overview We are seeking a highly skilled and experienced Senior Systems Engineer to join our IT Infrastructure team. This role focuses on the design, implementation, management, and optimization of core infrastructure systems with a specialization in VMware and related technologies. The Senior Systems Engineer will play a key role in ensuring the stability, scalability, and security of the organization’s IT infrastructure. Key Responsibilities • Core Infrastructure Management, • Design, deploy, and manage enterprise infrastructure, including servers, storage, and networking components., • Monitor system performance, troubleshoot issues, and implement improvements to ensure high availability and reliability., • Lead infrastructure-related projects, including upgrades, migrations, and system integrations., • VMware Administration, • Architect, implement, and maintain VMware vSphere environments, including ESXi hosts and vCenter servers., • Optimize virtual infrastructure for performance, scalability, and cost-effectiveness., • Manage virtual machine provisioning, snapshots, and backups., • Configuration Management, • Develop and maintain scripts (PowerShell, PowerCLI, Python, etc.) for system automation and process improvements., • Automate repetitive tasks, enhance monitoring capabilities, and ensure system configurations adhere to best practices., • Implement and maintain security measures to protect core infrastructure systems., • Ensure compliance with organizational policies, industry standards, and regulatory requirements., • Collaboration and Leadership, • Work closely with cross-functional teams, including network engineers, database administrators, and application developers., • Mentor junior team members and provide technical leadership. Core Systems and Infrastructure: • Windows Servers: Configuration, management, and performance tuning, • Active Directory (AD): Management of users, groups, and roles, • Group Policy (GPO): Administration and customization, • DNS and DHCP: Configuration and troubleshooting, • Public Key Infrastructure (PKI): Implementation and management, • VMware vSphere, ESXi, and vCenter, • Backup and replication tools: Veeam, Rubrik, Zerto, CommVault, • High-availability design, clustering, and disaster recovery (D.R.) solutions, • SAN, NAS, and Storage Spaces Direct, • Familiarity with NetApp, Dell EMC, and HPE storage solutions, • Tools: SolarWinds, SCOM, PRTG, • Synthetic transactions and real-time alerting, • Performance tuning for Windows servers and virtual environments, • Root cause analysis for recurring performance issues Qualifications • Education: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)., • Experience: Minimum of 7 years of experience in IT infrastructure engineering, with at least 5 years focused on VMware technologies., • Certifications:, • VMware certifications (e.g., VCP, VCAP, or VCDX) are strongly preferred., • Excellent problem-solving and analytical abilities., • Strong communication skills, both written and verbal., • Ability to work independently and collaboratively in a fast-paced environment., • Commitment to continuous learning and professional development.

Job Description Machine Learning Engineer / AI Engineer Newark, NJ Salary: $120,000 – $180,000 Description / Position Overview This role owns the design, deployment, and long-term performance of production machine learning systems that power data-driven products and operational intelligence. The Machine Learning Engineer is responsible for translating business problems into scalable AI solutions. This includes building end-to-end pipelines, deploying models into production environments, and continuously improving model performance. This is an engineering execution role, not a research-only position. Success requires the ability to move models from experimentation to reliable production systems that drive measurable product and operational impact. Requirements • Experience building and deploying machine learning models in real-world production environments, • Strong Python programming capability and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, • Understanding of statistics, probability, and optimization techniques used in machine learning systems, • Experience working with large-scale structured and unstructured datasets, • Experience deploying and operating models on cloud platforms such as AWS, GCP, or Azure, • Ability to build and manage scalable data pipelines supporting ML workflows, • Strong collaboration skills working with product, engineering, and data teams Responsibilities Machine Learning Development • Design, train, and optimize machine learning models for real-world business applications, • Build end-to-end ML pipelines including data ingestion, preprocessing, training, and evaluation, • Select appropriate algorithms and modeling approaches based on problem context, • Continuously improve model performance through experimentation and iteration Production Deployment & Infrastructure • Deploy machine learning models into scalable production environments, • Build APIs and services that operationalize machine learning capabilities inside products and systems, • Manage the full model lifecycle including monitoring, retraining, and drift detection, • Ensure reliability, scalability, and maintainability of ML infrastructure Data & Engineering Execution • Work with structured and unstructured data sources to support model development, • Implement feature engineering strategies that improve model accuracy and reliability, • Collaborate with data engineering teams to maintain clean and scalable data infrastructure, • Optimize model performance and resource efficiency in production systems Cross-Functional Collaboration • Partner with product and engineering teams to translate business needs into machine learning solutions, • Communicate technical insights and model behavior to non-technical stakeholders, • Contribute to AI roadmap planning and prioritization of ML initiatives Must-Haves • Proven experience deploying machine learning models into production environments, • Strong Python and ML framework expertise (TensorFlow, PyTorch, or Scikit-learn), • Experience building scalable ML pipelines and APIs, • Experience working with cloud infrastructure (AWS, GCP, or Azure), • Strong understanding of statistical modeling and machine learning fundamentals Final Invitation to Apply If you are a hands-on machine learning engineer who thrives on building real-world AI systems and taking models from concept to production impact, this is an opportunity to own meaningful technology that drives product innovation and operational performance. Contact Email Resume: Apply Online: Refer a friend, get up to $1000!

Position- Azure Data engineer (Banking Domain). Azure Data engineer (MS Fabric Experience).

Experience with developing and deploying ETL pipelines using Databricks Pyspark. Design, develop, and deploy Spark program in databricks environment to process and analyze large volumes of data. Optimize Databricks jobs for performance and scalability to handle big data workloads.

Strong experience with big data tools(Microsoft Fabric, Databricks , Spark etc. Knowledge in Microsoft Fabric Data Platform. Senior Azure Data Engineer with Fabric.

Job DescriptionDescription: Hybrid 50% ON SITE, half remote, work site either Jersey City, NJ or Westlake, TX Our client seeks a Principal Software Engineer to advance an enterprise AI/ML platform within a large, highly regulated industry environment. This role is ideal for a seasoned engineer who has “been around the block” — someone who has designed, built, and operated enterprise-scale platforms and can provide long-term architectural and technical leadership. The role will design and deliver reliable, secure, and cost-efficient capabilities for model packaging, deployment, serving, and observability. You will collaborate with platform engineers and data scientists to operationalize models at scale on AWS, drive standards, and improve reliability and velocity across teams. In this role, you will address complex technical challenges using Python code and have a focus area in delivering machine learning solutions at an enterprise scale. You’ll work on core platform services that enable machine learning and generative AI models to be safely, securely, and cost‑effectively deployed across the organization. A major focus of this role is a Python-based web service that acts as a gateway for AI models. You will be responsible for developing, building, and enhancing platform capabilities that are reliable, secure, and cost-efficient. This position offers the opportunity to collaborate with multiple teams to implement practical and robust solutions widely used in production. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $65.00 to $70.00/hr. w2 Responsibilities: • Design, build, and evolve enterprise-scale Python services that support AI/ML and generative AI use cases., • Lead the technical direction and standards for model packaging, deployment, serving, and observability., • Partner closely with data scientists and application teams to operationalize models and accelerate adoption across the business., • Own and enhance a Python-based API and web service used as a gateway for AI tools, including usage tracking and cost controls., • Drive best practices for cloud-native architecture in AWS, with a focus on reliability, security, and cost efficiency., • Define and improve CI/CD pipelines, reusable frameworks, and paved paths to increase engineering velocity., • Lead incident response, root cause analysis, and post-mortems; implement systemic improvements to prevent recurrence., • Mentor senior and mid-level engineers and provide cross-team technical leadership., • Develop and evolve Python based platform capabilities for enterprise-scale ML packaging, deployment, serving, and observability. This will focus on fullstack work as well as model and data observability including drift detection, prediction quality monitoring, uncertainty signals, and diagnostics., • Partner with Data Scientists to package, scale, and operationalize models with clear APIs, guardrails, and automation, work to enable secure, scalable access to traditional and generative models through enterprise gateways and services., • Set platform strategy and standards for ML packaging, deployment, serving, and observability., • Lead cross-platform incident response and post-mortems, driving systemic fixes., • Introduce reusable frameworks and CI/CD templates to enhance engineering velocity., • 8+ years, typically 10+, building and operating production platforms at scale., • Deep Python development experience and distributed systems expertise with production-grade services. Requires In-depth Python development experience, including building APIs and production-grade services., • Familiarity with Java or Groovy (HIGHLY preferred)., • Technical Expertise:, • Deep expertise in Python and distributed systems, requires strong background in distributed systems and enterprise-scale platforms., • Proficiency in Linux and scripting., • Cloud platform leadership, particularly in AWS (S3, Lambda, Batch). Requires extensive experience designing and operating applications deployed in AWS (S3, Lambda, Batch, and related services)., • Experience with DevOps and CI/CD, including Jenkins and Git-based workflows., • Expertise in Infrastructure as Code (CloudFormation, Terraform/OpenTofu)., • ML enablement in production, including model packaging and deployment strategies, requires practical experience enabling ML in production, including deployment strategies, performance tuning, and observability., • Leadership: Cross-organizational technical leadership and mentoring experience.Proven ability to provide long-term design input and technical leadership on complex, enterprise initiatives., • Strong communication skills — able to clearly explain complex systems and design decisions to technical and non-technical stakeholders. Nice to Have • Exposure to Java or Groovy in enterprise environments., • Familiarity with Docker-based frameworks for model packaging and deployment., • Experience with generative AI platforms and managing secure access to tools such as large language models., • Exposure to Azure or GCP in addition to AWS., • Experience in cost governance or usage monitoring for shared platforms. Education Requirements: • Bachelor’s degree, Controller’s degree, or equivalent experience in Computer Science, Software Engineering, or a related field. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: · When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc. · Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Good knowledge of Data warehousing concepts.

Data Engineer to design and deliver enterprise-grade data pipelines and business intelligence solutions, primarily using Power BI on the Azure platform. The ideal candidate will have strong experience in Azure Data Factory and advanced SQL development, along with the ability to optimize datasets and

Expert level understanding of Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service. Manage and optimize data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB. Design and implement scalable and secure data processing pipelines using

Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats. Understands the broad

The ideal candidate will have experience with Python, SQL, and cloud data tools to develop ETL pipelines, ensure data quality, and optimize data storage solutions. Responsibilities: Develop ETL pipelines Ensure data quality Optimize data storage solutions Requirements: 5-7 years of professional expe

Must reside in Eastern or Central Time Zone) We are seeking a Senior Data Engineer with hands‑on Snowpark (Python) experience to build and optimize scalable data pipelines within Snowflake. Requirements 7+ years of experience as a Data Engineer 3+ years hands‑on Snowflake production experienc

Partner with application teams, data engineers, and business stakeholders to deliver data solutions aligned with enterprise standards. The ideal candidate will have strong database engineering fundamentals, hands-on experience with Oracle PL/SQL, and working knowledge of Snowflake in support of anal

A technology solutions firm seeks an AI Automation Engineer to design and build production-grade AI systems driven by automation and AI agents.

Role: Mainframe DevOps Engineer / SCM Migration SME Location: Remote Overview We are looking for an experienced Mainframe DevOps Engineer / SCM (DBB/Git/IDD) Subject Matter Expert to support large-scale application migration and modernization initiatives on IBM Z.

Leverage SQL, programming language (Python or similar) and/or ETL Tools (Azure Data Factory, Data Bricks, Talend and SnowSQL) to develop data pipeline solutions to ingest and exploit new and existing data sources. Collaborate with data engineers and data scientists to understand data requirements an

Strong knowledge of SAP data modeling, metadata systems, BI/reporting tools, and database technologies. Experience in backend development on SAP BW platforms (Datasphere, BW on HANA, BW/4HANA) and data extraction from systems like S/4, SQL, Excel. Strong data management, integration, and database de

Extensive experience in SQL, database design and consultation to business partners. Proficient in using MS SQL Server, SSMS, SSIS as tools for data analysis.

In this role, you’ll: Provide technical leadership and oversight of BMS delivery across all project phases Guide vendor selection, oversee documentation, and review system design and architecture Ensure compliance with quality, regulatory, and cybersecurity standards Troubleshoot and support c

Net, middleware IBM MQ for messaging, and AWS/ Azure cloud. Strong ability to manage multiple projects with competing deadlines • Ability to effectively interact and build relationships with senior management and stakeholders • Strong project and xklufbp people management skills • Excellent co

You will develop and optimize Python-based backend applications and SQL-driven data solutions, ensuring highperformance data access for analytics and reporting. Design and maintain relational database schemas while ensuring data integrity, performance, and reliability. Build and automate data workfl

Implement Azure Policies and Blueprints for governance. Preferred: Microsoft Certified: Azure Solutions Architect Expert (AZ-305). Title: Azure Solution Architect.

A leading software company is seeking a Senior Software Engineer to contribute to their open source SDK and enterprise APIs. This role involves developing scalable solutions that cater to large datasets used by various industries. The ideal candidate has over 6 years of experience in full-stack deve

Network and Infrastructure Engineer to join our Cloud Ops - Network Engineering department in a fully remote capacity in the Netherlands, reporting to the Manager, Network Engineering. What You’ll Do (Role Expectations) Plan, implement, document, and manage data center cabinet layouts and power d

Below is the requirement with my client.Please let me know if you are available for this role.AWS services: EC2, S3, VPC, IAM, Lambda, RDS, Route 53, ELB, CloudFront, Auto Scaling.Serverless architecture design using Lambda, API Gateway, and DynamoDB.Containerization: Docker and orchestration with E

Performance testing of OpenShift environments.Deploy and manage OpenShift environments to ensure high availability and fault tolerance.Implement and upgrade Ceph environments to the latest production code releases.Integrate Kubernetes with Ceph object storage to provide S3-compatible storage service

Strong ability to manage multiple projects with competing deadlines • Ability to effectively interact and build relationships with senior management and stakeholders • Strong project and xklufbp people management skills • Excellent communication skills Preferred • Experience in financial dom