Requirements engineer jobs in New Brunswick, NJ

Cloud Infrastructure Engineer We are seeking a skilled Cloud Infrastructure Engineer to design, implement, and maintain secure, scalable, and resilient cloud infrastructure solutions. The role involves leveraging SaaS and cloud-based technologies to solve complex business challenges and support global operations. Responsibilities Implement and support enterprise-scale cloud solutions and integrations. Build and automate cloud infrastructure using IaC tools such as Terraform, CloudFormation, or ARM templates. Deploy and support Generative AI platforms and cloud-based vendor solutions. Implement and enforce cloud security best practices, including IAM, encryption, network segmentation, and compliance with industry standards. Establish monitoring, logging, and alerting frameworks to ensure high availability and performance. Optimize cost, performance, and reliability of cloud services. Participate in on-call rotations and provide support for cloud infrastructure issues. Maintain documentation, conduct knowledge transfer sessions, and perform design peer reviews. Experience Level 5+ years in cloud infrastructure engineering, preferably in regulated industries. Deep expertise in at least one major cloud platform (Azure, AWS, or GCP). Proficient with Azure and related services (AI/ML tools, security, automation, governance). Familiarity with SIEM, CNAPP, EDR, Zero Trust architecture, and MDM solutions. Experience with SaaS integrations and managing third-party cloud services. Understanding of virtualization, containerization, auto-scaling, and fully automated systems. Experience scripting in PowerShell and Python; working knowledge of REST APIs. Networking knowledge (virtual networks, DNS, SSL, firewalls) and IT change management. Strong collaboration, interpersonal, and communication skills. Willingness to participate in on-call rotations and after-hours support. The Phoenix Group Advisors is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment.

Full-Time Onsite Position We're looking for an experienced Audio/Visual Engineer to design, implement, and support a cutting-edge AV infrastructure. As our organization continues to grow, technology remains at the heart of our business, and our AV needs are evolving right alongside it. In this role, you'll be the subject matter expert for all things AV: from designing globally scalable, fault-tolerant systems to supporting live events, collaboration platforms, digital signage, and complex event spaces. You'll work closely with the Technology and Infrastructure teams to deliver high-quality, reliable AV solutions that enhance communication and collaboration across the firm. What You'll Do Architect and manage enterprise-scale AV systems (meeting rooms, event spaces, IPTV, digital signage, Cisco VC solutions). Provide hands-on support for live and hybrid events. Collaborate on acoustic treatments and space design to optimize performance. Partner with vendors, architects, and cross-functional teams on large-scale buildouts. Ensure world-class reliability and user experience in every solution. About You 7+ years in AV engineering with enterprise-scale systems. Expertise in AVoIP, DSPs, control systems, and collaboration tools (Zoom, Webex, Teams). Strong technical production skills for hybrid/live events. Solid understanding of networking fundamentals (VLANs, routing, firewalls). Skilled in multitasking and leading multiple complex projects. Bonus: AutoCAD/Revit or programming experience.

NG911 - Cyber Security Tools Implementation Engineer • Implement solutions for DNS, Email, remote access configuration, integration, performance monitoring, and security management. • Test Next Generation firewall platforms, host operating systems, applications such as LDAP, SMTP. • Support for application development and database administration. • Provide support for Email, DNS, AND Remote access solutions. • Deploy appropriate network security solutions. • Implement solutions for DNS, Email, remote access configuration, integration, performance monitoring, and security management. • Test Next Generation firewall platforms, host operating systems, applications such as LDAP, SMTP. • Support for application development and database administration. • Provide support for Email, DNS, AND Remote access solutions. • Deploy appropriate network security solutions. MANDATORY SKILLS/EXPERIENCE • At least 12 years of experience in enterprise data center environment to plan, design and install network & security infrastructure systems for public safety. • 3+ years working experience with IBM QRadar SEIM solution integration with Cascade, Firemon and Citrix & other critical security service technologies • CISSP or other industry Cyber Security Certification • Experience migrating DNS to a new platform. • Experience participating in the design and implementation of a DMZ and all associated requirements for monitoring external threats. • Experience with security infrastructure and implementation of perimeter network security components such as Next Generation firewalls. DESIRABLE SKILLS/EXPERIENCE: • 3+ years working experience with IBM QRadar SEIM solution integration with Cascade, Firemon and Citrix & other critical security service technologies • CISSP or other industry Cyber Security Certification • Experience migrating DNS to a new platform.

Title: AI Engineer or MCP Developer Duration: Long Term Contract Kindly share your resumes to **************** Description: A MCP Developer in commercial P&C insurance is typically an IT role focused on developing systems and integrations using the Model Context Protocol (MCP) to leverage Artificial Intelligence (AI) and Large Language Models (LLMs) within insurance operations. This role involves building the infrastructure that allows AI agents to securely and reliably access and act upon internal P&C data sources (e.g., policy systems, claims databases, underwriting documents), thereby enhancing automation and decision-making in core insurance functions like underwriting and claims processing. Responsibilities: AI Integration: Develop and implement robust integrations between AI models (LLMs) and internal data repositories and business tools using the Model Context Protocol (MCP). System Development: Build and maintain MCP servers and clients to expose necessary data and capabilities to AI agents. Workflow Automation: Design and implement agentic workflows that allow AI systems to perform complex, multi-step tasks, such as accessing real-time policy data, processing claims information, and updating customer records. Security & Compliance: Implement secure coding practices and ensure all AI interactions and data exchanges via MCP adhere to insurance industry regulations and internal compliance standards (e.g., data privacy, secure data handling). API Management: Work with existing APIs (REST/SOAP) and develop new ones to facilitate data flow to and from the MCP environment. Collaboration: Partner with actuaries, underwriters, claims specialists, and IT teams to identify AI opportunities and ensure seamless solution deployment. Testing & Quality Assurance: Perform testing to ensure AI-driven job outputs are accurate and reliable, and maintain high performance levels. Documentation: Document all development processes, system architectures, and operational procedures for MCP integrations. Experience: 3+ years of experience in software development or AI integration, preferably within the insurance or financial services industry. P&C Knowledge: Strong knowledge of Commercial P&C insurance products, underwriting processes, and claims systems is highly preferred. Technical Expertise: Proficiency in programming languages like Python, Java, or similar. Experience with API development and management. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Understanding of the Model Context Protocol (MCP) specification and SDKs

STAND 8 provides end to end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India We are seeking a highly experienced M365 & Collaboration Engineer to architect, implement, and support modern collaboration and unified communication solutions across the enterprise. This senior-level role will lead end-to-end design, optimization, troubleshooting, and lifecycle management for Microsoft 365, unified communications, and integration capabilities. The ideal candidate combines technical depth, architectural vision, strong scripting skills, and the ability to collaborate across engineering, security, and business teams. This is a hybrid position, working on-site Monday through Thursday and remotely on Fridays Key Responsibilities Architecture, Design & Implementation Lead design, implementation, and lifecycle support for enterprise collaboration products (M365, Slack, Zoom, Teams, Unified Communication systems, etc.). Architect scalable solutions aligned with organizational strategy and future technology roadmap. Oversee full-stack collaboration deployments while simultaneously supporting ongoing architectural projects. Design and implement unified communication and collaboration workflows using Microsoft 365 technologies. Operations, Troubleshooting & Optimization Provide advanced troubleshooting, performance tuning, and reliability improvements for M365 and other collaboration tools. Perfom incident root-cause analysis and develop remediation strategies. Plan and deliver infrastructure improvements with a 6-month outlook. Integration & Cross-Functional Collaboration Work closely with cybersecurity teams and vendors to integrate M365 with other cloud and on-premise systems. Support technology assessments and collaborate with solution partners and internal stakeholders. Ensure interoperability between Microsoft 365 and other enterprise applications. Security, Governance & Documentation Maintain security and compliance across the Microsoft 365 environment by implementing appropriate policies and controls. Document architecture, configurations, and solution designs. Provide training and knowledge transfer to internal teams and stakeholders. Qualifications 7+ years of professional experience in Microsoft 365 architecture, engineering, and implementation. Expert-level knowledge of M365 services (Exchange Online, SharePoint Online, Teams, OneDrive, Power Platform, etc.). 7+ years experience with PowerShell and scripting for administration and automation. 5+ years hands-on experience with Azure services (AAD, App Services, SQL, Storage, Functions, Logic Apps, DevOps, etc.). Strong background in enterprise unified communication and collaboration solutions. Experience monitoring, troubleshooting, and performing root-cause analysis of M365 issues. Understanding of security/compliance practices within Microsoft environments. Experience integrating M365 with cloud and on-prem systems. Strong documentation, communication, and cross-functional collaboration skills. Knowledge of networking fundamentals and common internet protocols. Email/calendaring experience (Exchange, Outlook, Proofpoint). Ability to work in fast-paced Agile environments. Bachelor's degree in a computer-related field or equivalent experience. Flexibility to work evenings/weekends as needed. Preferred Qualifications Microsoft certifications such as: M365 Enterprise Administrator Expert,Teams Administrator Associate, Security Administrator Associate. Strong presentation and documentation abilities. Ability to manage multiple projects simultaneously. Ability to work both independently and within a team environment. Benefits Medical coverage and Health Savings Account (HSA) through Anthem Dental/Vision/Various Ancillary coverages through Unum 401(k) retirement savings plan Paid-time-off options Company-paid Employee Assistance Program (EAP) Discount programs through ADP WorkforceNow Additional Details The base range for this contract position is $35 - $45 / per hour, depending on experience. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Qualified applicants with arrest or conviction records will be considered About Us STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and globally with offices in Los Angeles, Atlanta, New York, Mexico, Japan, India, and more. STAND 8 focuses on the "bleeding edge" of technology and leverages automation, process, marketing, and over fifteen years of success and growth to provide a world-class experience for our customers, partners, and employees. Our mission is to impact the world positively by creating success through PEOPLE, PROCESS, and TECHNOLOGY. Check out more at ************** and reach out today to explore opportunities to grow together! By applying to this position, your data will be processed in accordance with the STAND 8 Privacy Policy.

Must Have Technical/Functional Skills Neo4j, Graph Data Science, Cypher, Python, Graph Algorithms, Bloom, GraphXR, Cloud, Kubernetes, ETL Roles & Responsibilities Design and implement graph-based data models using Neo4j. Develop Cypher queries and procedures for efficient graph traversal and analysis. Apply Graph Data Science algorithms for community detection, centrality, and similarity. Integrate Neo4j with enterprise data platforms and APIs. Collaborate with data scientists and engineers to build graph-powered applications. Optimize performance and scalability of graph queries and pipelines. Support deployment and monitoring of Neo4j clusters in cloud or on-prem environments. Salary Range: $110,000 $140,000 Year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

MSD 365 Engineer (Only W2) Contract We are currently seeking an experienced Senior Microsoft Dynamics 365 Professional to join our team. Candidate will be joining a team of highly dedicated professionals that thrive for new challenges daily, as well as a company that demonstrates the greatest care for its employees and has a track record for sound business decisions. Responsibilities: • Develop and customize Microsoft Dynamics 365 applications using C#/.NET and Power Platform tools. • Build integrations between Dynamics 365 and Azure services (Logic Apps, Functions) as part of a modern cloud architecture. • Support the migration from Salesforce to Dynamics 365 - helping to unify global customer data and business processes. • Work closely with senior developers and solution architects to design clean, scalable solutions aligned with best practices. • Participate in code reviews, testing, and CI/CD pipeline activities to ensure high-quality deliverables. • Troubleshoot and optimize Dynamics plugins and SQL queries to improve system performance. Thanks & Kind Regards, Avinash Pathak Delta System & Software, Inc. Email Id: ***************************

Godel Terminal is a cutting edge financial platform that puts the world's financial data at your fingertips. From Equities and SEC filings, to global news delivered in milliseconds, thousands of customers rely on Godel every day to be their guide to the world of finance. We are looking for a senior engineer in New York City to join our team and help build out live data services as well as historical data for US markets and international exchanges. This position will specifically work on new asset classes and exchanges, but will be expected to contribute to the core architecture as we expand to international markets. Our team works quickly and efficiently, we are opinionated but flexible when it's time to ship. We know what needs to be done, and how to do it. We are laser focused on not just giving our customers what they want, but exceeding their expectations. We are very proud that when someone opens the app the first time they ask: “How on earth does this work so fast”. If that sounds like a team you want to be part of, here is what we need from you: Minimum qualifications: Able to work out of our Manhattan office minimum 4 days a week 5+ years of experience in a financial or startup environment 5+ years of experience working on live data as well as historical data 3+ years of experience in Java, Python, and SQL Experience managing multiple production ETL pipelines that reliably store and validate financial data Experience launching, scaling, and improving backend services in cloud environments Experience migrating critical data across different databases Experience owning and improving critical data infrastructure Experience teaching best practices to junior developers Preferred qualifications: 5+ years of experience in a fintech startup 5+ years of experience in Java, Kafka, Python, PostgreSQL 5+ years of experience working with Websockets like RXStomp or Socket.io 5+ years of experience wrangling cloud providers like AWS, Azure, GCP, or Linode 2+ years of experience shipping and optimizing Rust applications Demonstrated experience keeping critical systems online Demonstrated creativity and resourcefulness under pressure Experience with corporate debt / bonds and commodities data Salary range begins at $150,000 and increases with experience Benefits: Health Insurance, Vision, Dental To try the product, go to *************************

Client: manufacturing company Type: direct hire Our client is a publicly traded, globally recognized technology and manufacturing organization that relies on data-driven insights to support operational excellence, strategic decision-making, and digital transformation. They are seeking a Power BI Developer to design, develop, and maintain enterprise reporting solutions, data pipelines, and data warehousing assets. This role works closely with internal stakeholders across departments to ensure reporting accuracy, data availability, and the long-term success of the company's business intelligence initiatives. The position also plays a key role in shaping BI strategy and fostering collaboration across cross-functional teams. This role is on-site five days per week in Somerset, NJ. Key Responsibilities Power BI Reporting & Administration Lead the design, development, and deployment of Power BI and SSRS reports, dashboards, and analytics assets Collaborate with business stakeholders to gather requirements and translate needs into scalable technical solutions Develop and maintain data models to ensure accuracy, consistency, and reliability Serve as the Power BI tenant administrator, partnering with security teams to maintain data protection and regulatory compliance Optimize Power BI solutions for performance, scalability, and ease of use ETL & Data Warehousing Design and maintain data warehouse structures, including schema and database layouts Develop and support ETL processes to ensure timely and accurate data ingestion Integrate data from multiple systems while ensuring quality, consistency, and completeness Work closely with database administrators to optimize data warehouse performance Troubleshoot data pipelines, ETL jobs, and warehouse-related issues as needed Training & Documentation Create and maintain technical documentation, including specifications, mappings, models, and architectural designs Document data warehouse processes for reference, troubleshooting, and ongoing maintenance Manage data definitions, lineage documentation, and data cataloging for all enterprise data models Project Management Oversee Power BI and reporting projects, offering technical guidance to the Business Intelligence team Collaborate with key business stakeholders to ensure departmental reporting needs are met Record meeting notes in Confluence and document project updates in Jira Data Governance Implement and enforce data governance policies to ensure data quality, compliance, and security Monitor report usage metrics and follow up with end users as needed to optimize adoption and effectiveness Routine IT Functions Resolve Help Desk tickets related to reporting, dashboards, and BI tools Support general software and hardware installations when needed Other Responsibilities Manage email and phone communication professionally and promptly Respond to inquiries to resolve issues, provide information, or direct to appropriate personnel Perform additional assigned duties as needed Qualifications Required Minimum of 3 years of relevant experience Bachelor's degree in Computer Science, Data Analytics, Machine Learning, or equivalent experience Experience with cloud-based BI environments (Azure, AWS, etc.) Strong understanding of data modeling, data visualization, and ETL tools (e.g., SSIS, Azure Synapse, Snowflake, Informatica) Proficiency in SQL for data extraction, manipulation, and transformation Strong knowledge of DAX Familiarity with data warehouse technologies (e.g., Azure Blob Storage, Redshift, Snowflake) Experience with Power Pivot, SSRS, Azure Synapse, or similar reporting tools Strong analytical, problem-solving, and documentation skills Excellent written and verbal communication abilities High attention to detail and strong self-review practices Effective time management and organizational skills; ability to prioritize workload Professional, adaptable, team-oriented, and able to thrive in a dynamic environment

12-15 years of overall experience, combining solution architecture and hands-on delivery. Strong client-facing skills, with the ability to lead technical conversations, manage expectations, and handle escalations calmly. Hands-on technologist capable of designing, reviewing, and, when required, building/debugging components, not limited to high-level guidance. Proficient in Data Solutions, with practical, hands-on experience in Databricks including Lakehouse architecture, ETL pipelines, analytics, and AI workloads. Strong hands-on experience with PySpark and Python for large-scale data processing and transformation. Experience designing and implementing microservices-based architectures.

· Expert level skills writing and optimizing complex SQL · Experience with complex data modelling, ETL design, and using large databases in a business environment · Experience with building data pipelines and applications to stream and process datasets at low latencies · Fluent with Big Data technologies like Spark, Kafka and Hive · Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required · Designing and building of data pipelines using API ingestion and Streaming ingestion methods · Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential · Experience in developing NO SQL solutions using Azure Cosmos DB is essential · Thorough understanding of Azure and AWS Cloud Infrastructure offerings · Working knowledge of Python is desirable · Designing and implementing scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services · Managing and optimizing data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB · Monitoring and troubleshooting data-related issues within the Azure environment to maintain high availability and performance · Implementing data security measures, including encryption, access controls, and auditing, to protect sensitive information · Automating data pipelines and workflows to streamline data ingestion, processing, and distribution tasks · Utilizing Azure's analytics services, such as Azure Synapse Analytics, to provide insights and support data-driven decision-making. · Documenting data procedures, systems, and architectures to maintain clarity and ensure compliance with regulatory standards · Providing guidance and support for data governance, including metadata management, data lineage, and data cataloging Best Regards, Dipendra Gupta Technical Recruiter *****************************

Are you a data engineer who loves building systems that power real impact in the world? A fast growing healthcare technology organization is expanding its innovation team and is looking for a Data Engineer II to help build the next generation of its data platform. This team sits at the center of a major transformation effort, partnering closely with engineering, analytics, and product to design the foundation that supports advanced automation, AI, intelligent workflows, and high scale data operations that drive measurable outcomes for hospitals, health systems, and medical groups. In this role, you will design, develop, and maintain software applications that process large volumes of data every day. You will collaborate with cross functional teams to understand data requirements, build and optimize data models, and create systems that ensure accuracy, reliability, and performance. You will write code that extracts, transforms, and loads data from a variety of sources into modern data warehouses and data lakes, while implementing best in class data quality and governance practices. You will work hands on with big data technologies such as Hadoop, Spark, and Kafka, and you will play a critical role in troubleshooting, performance tuning, and ensuring the scalability of complex data applications. To thrive here, you should bring strong problem solving ability, analytical thinking, and excellent communication skills. This is an opportunity to join an expanding innovation group within a leading healthcare platform that is investing heavily in data, AI, and the future of intelligent revenue operations. If you want to build systems that make a real difference and work with teams that care deeply about improving patient experiences and provider performance, this is a chance to do highly meaningful engineering at scale.

About the Opportunity Our client is a global alternative investment firm in a high-growth phase, investing heavily in modernizing its enterprise data platform. With multiple investment strategies and operations across several geographies, the firm is building a scalable, front-to-back investment data environment to support portfolio management, performance reporting, and executive decision-making. This is a hands-on, senior individual contributor role for an engineer who has worked close to investment teams and understands financial and portfolio data, not just generic SaaS analytics. Who This Role Is For This role is ideal for data engineers who have experience in or alongside Private Equity, Hedge Funds, Asset Management, or Capital Markets environments and are comfortable owning complex financial data pipelines end-to-end. This is not a traditional BI, marketing, or consumer data role. Candidates coming purely from ad-tech, healthcare, or non-financial SaaS backgrounds may not find this a fit. What You'll Be Doing Design, build, and maintain scalable data pipelines supporting investment, portfolio, and fund-level data Partner closely with technology leadership and investment stakeholders to translate business and investment use cases into technical solutions Contribute to the buildout of a modern data lake / lakehouse architecture (medallion-style or similar) Integrate data across the full investment lifecycle, including: Deal and transaction data Portfolio company metrics Fund performance, AUM, and reporting data Ensure data quality, lineage, and reliability across multiple strategies and entities Operate as a senior, hands-on engineer - designing, building, and troubleshooting in the weeds when needed Required Experience 7+ years of experience as a Data Engineer or similar role Strong background supporting financial services data, ideally within: Private Equity Hedge Funds Asset Management Investment Banking / Capital Markets Experience working with complex, multi-entity datasets tied to investments, portfolios, or funds Strong SQL skills and experience building production-grade data pipelines Experience with modern cloud data platforms and architectures Comfortable working in a fast-moving, evolving environment with senior stakeholders Nice to Have Experience in environments similar to global PE firms, hedge funds, or institutional asset managers Exposure to front-to-back investment data (from source systems through reporting) Experience with Microsoft-centric data stacks (e.g., Azure, Fabric) or comparable cloud platforms Familiarity with performance, valuation, or risk-related datasets Work Environment & Compensation Hybrid role with regular collaboration in the New York office Competitive compensation aligned with senior financial services engineering talent Opportunity to help shape a firm-wide data platform during a critical growth phase

🚀 Market Data Engineer - New York | Cutting-Edge Trading Environment I'm partnered with a leading technology-driven trading team in New York looking to bring on a Market Data Engineer to support global research, trading, and infrastructure groups. This role is central to managing the capture, normalization, and distribution of massive volumes of historical market data from exchanges worldwide. What You'll Do Own large-scale, time-sensitive market data capture + normalization pipelines Improve internal data formats and downstream datasets used by research and quantitative teams Partner closely with infrastructure to ensure reliability of packet-capture systems Build robust validation, QA, and monitoring frameworks for new market data sources Provide production support, troubleshoot issues, and drive quick, effective resolutions What You Bring Experience building or maintaining large-scale ETL pipelines Strong proficiency in Python + Bash, with familiarity in C++ Solid understanding of networking fundamentals Experience with workflow/orchestration tools (Airflow, Luigi, Dagster) Exposure to distributed computing frameworks (Slurm, Celery, HTCondor, etc.) Bonus Skills Experience working with binary market data protocols (ITCH, MDP3, etc.) Understanding of high-performance filesystems and columnar storage formats

Title: Data Engineer (Web Scraping technologies) Duration: FTE/Perm Salary: 125-190k plus bonus Responsibilities: Utilize AI Models, Code, Libraries or applications to enable a scalable Web Scraping capability Web Scraping Request Management including intake, assessment, accessing sites to scrape, utilizing tools to scrape, storage of scrape, validation and entitlement to users Fielding Questions from users about the scrapes and websites Coordinating with Compliance on approvals and TOU reviews Some Experience building Data pipelines in AWS platform utilizing existing tools like Cron, Glue, Eventbridge, Python based ETL, AWS Redshift Normalizing/standardizing vendor data, firm data for firm consumption Implement data quality checks to ensure reliability and accuracy of scraped data Coordinate with Internal teams on delivery, access, requests, support Promote Data Engineering best practices Required Skills and Qualifications: Bachelor's degree in computer science, Engineering, Mathematics or related field 2-5 experience in a similar role Prior buy side experience is strongly preferred (Multi-Strat/Hedge Funds) Capital markets experience is necessary with good working knowledge of reference data across asset classes and experience with trading systems AWS cloud experience with commons services (S3, lambda, cron, Event Bridge etc.) Experience with web-scraping frameworks (Scrapy, BeautifulSoup, Selenium, Playwright etc.) Strong hands-on skills with NoSQL and SQL databases, programming in Python, data pipeline orchestration tools and analytics tools Familiarity with time series data and common market data sources (Bloomberg, Refinitiv etc.) Familiarity with modern Dev Ops practices and infrastructure-as-code tools (e.g. Terraform, CloudFormation) Strong communication skills to work with stakeholders across technology, investment, and operations teams.

Title: Senior Azure Data Engineer Client: Major Japanese Bank Experience Level: Senior (10+ Years) The Senior Azure Data Engineer will design, build, and optimize enterprise data solutions within Microsoft Azure for a major Japanese bank. This role focuses on architecting scalable data pipelines, enhancing data lake environments, and ensuring security, compliance, and data governance best practices. Key Responsibilities: Develop, maintain, and optimize Azure-based data pipelines and ETL/ELT workflows. Design and implement Azure Data Lake, Synapse, Databricks, and ADF solutions. Ensure data security, compliance, lineage, and governance controls. Partner with architecture, data governance, and business teams to deliver high-quality data solutions. Troubleshoot performance issues and improve system efficiency. Required Skills: 10+ years of data engineering experience. Strong hands-on expertise with Azure Synapse, Azure Data Factory, Azure Databricks, Azure Data Lake, and Azure SQL. Azure certifications strongly preferred. Strong SQL, Python, and cloud data architecture skills. Experience in financial services or large enterprise environments preferred.

Senior Data Engineer (Snowflake & Python) 1-Year Contract | $60/hour + Benefit Options Hybrid: On-site a few days per month (local candidates only) Work Authorization Requirement You must be authorized to work for any employer as a W2 employee. This is required for this role. This position is W-2 only - no C2C, no third-party submissions, and no sponsorship will be considered. Overview We are seeking a Senior Data Engineer to support enterprise-scale data initiatives for a highly collaborative engineering organization. This is a new, long-term contract opportunity for a hands-on data professional who thrives in fast-paced environments and enjoys building high-quality, scalable data solutions on Snowflake. Candidates must be based in or around New Jersey, able to work on-site at least 3 days per month, and meet the W2 employment requirement. What You'll Do Design, develop, and support enterprise-level data solutions with a strong focus on Snowflake Participate across the full software development lifecycle - planning, requirements, development, testing, and QA Partner closely with engineering and data teams to identify and implement optimal technical solutions Build and maintain high-performance, scalable data pipelines and data warehouse architectures Ensure platform performance, reliability, and uptime, maintaining strong coding and design standards Troubleshoot production issues, identify root causes, implement fixes, and document preventive solutions Manage deliverables and priorities effectively in a fast-moving environment Contribute to data governance practices including metadata management and data lineage Support analytics and reporting use cases leveraging advanced SQL and analytical functions Required Skills & Experience 8+ years of experience designing and developing data solutions in an enterprise environment 5+ years of hands-on Snowflake experience Strong hands-on development skills with SQL and Python Proven experience designing and developing data warehouses in Snowflake Ability to diagnose, optimize, and tune SQL queries Experience with Azure data frameworks (e.g., Azure Data Factory) Strong experience with orchestration tools such as Airflow, Informatica, Automic, or similar Solid understanding of metadata management and data lineage Hands-on experience with SQL analytical functions Working knowledge of Shell scripting and Java scripting Experience using Git, Confluence, and Jira Strong problem-solving and troubleshooting skills Collaborative mindset with excellent communication skills Nice to Have Experience supporting Pharma industry data Exposure to Omni-channel data environments Why This Opportunity $60/hour W2 on a long-term 1-year contract Benefit options available Hybrid structure with limited on-site requirement High-impact role supporting enterprise data initiatives Clear expectations: W-2 only, no third-party submissions, no Corp-to-Corp This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.Apexon brings together distinct core competencies - in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences - to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients' toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. Job Description Experienced Data management specialist responsible for developing, overseeing, organizing, storing, and analyzing data and data systems Participate in all aspects of the software development lifecycle for Snowflake solutions, including planning, requirements, development, testing, and quality assurance Work in tandem with our engineering team to identify and implement the most optimal solutions Ensure platform performance, uptime, and scale, maintaining high standards for code quality and thoughtful design Troubleshoot incidents, identify root causes, fix and document problems, and implement preventive measures Able to manage deliverables in fast paced environments Areas of Expertise At least 10 years of experience designing and development of data solutions in enterprise environment At least 5+ years' experience on Snowflake Platform Strong hands-on SQL and Python development Experience with designing and developing data warehouses in Snowflake A minimum of three years' experience in developing production-ready data ingestion and processing pipelines using Spark, Scala Strong hands-on experience with Orchestration Tools e.g. Airflow, Informatica, Automic Good understanding on Metadata and data lineage Hands-on knowledge on SQL Analytical functions Strong knowledge and hands-on experience in Shell scripting, Java Scripting Able to demonstrate experience with software engineering practices including CI/CD, Automated testing and Performance Engineering. Good understanding and exposure to Git, Confluence and Jira Good problem solving and troubleshooting skills. Team player, collaborative approach and excellent communication skills Our Commitment to Diversity & Inclusion: Did you know that Apexon has been Certified™ by Great Place To Work , the global authority on workplace culture, in each of the three regions in which it operates: USA (for the fourth time in 2023), India (seven consecutive certifications as of 2023), and the UK.Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We are taking affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. You can read about our Job Applicant Privacy policy here Job Applicant Privacy Policy (apexon.com)

NeenOpal is a global consulting firm specializing in Data Science and Business Intelligence, with offices in Bengaluru, Newark, and Fredericton. We provide end-to-end solutions tailored to the unique needs of businesses, from startups to large organizations, across domains like digital strategy, sales and marketing, supply chain, and finance. Our mission is to help organizations achieve operational excellence and transform into data-driven enterprises. Role Description This is a full-time, hybrid, Data Engineer role located in Newark, NJ. The Data Engineer will be responsible for designing, implementing, and managing data engineering solutions to support business needs. Day-to-day tasks include building and optimizing data pipelines, developing and maintaining data models and ETL processes, managing data warehousing solutions, and contributing to the organization's data analytics initiatives. Collaboration with cross-functional teams to ensure robust data infrastructure will be a key aspect of this role. Key Responsibilities Data Pipeline Development: Design, implement, and manage robust data pipelines to ensure efficient data flow into data warehouses. Automate ETL processes using Python and advanced data engineering tools. Data Integration: Integrate and transform data using industry-standard tools. Experience required with: AWS Services: AWS Glue, Data Pipeline, Redshift, and S3. Azure Services: Azure Data Factory, Synapse Analytics, and Blob Storage. Data Warehousing: Implement and optimize solutions using Snowflake and Amazon Redshift. Database Management: Develop and manage relational databases (SQL Server, MySQL, PostgreSQL) to ensure data integrity. Performance Optimization: Continuously monitor and improve data processing workflows and apply best practices for query optimization. Global Collaboration: Work closely with cross-functional teams in the US, India, and Canada to deliver high-quality solutions. Governance & Support: Document ETL processes and data mappings in line with governance standards. Diagnose and resolve data-related issues promptly. Required Skills and Experience Experience: Minimum 2+ years of experience designing and developing ETL processes (AWS Glue, Azure Data Factory, or similar). Integration: Experience integrating data via RESTful / GraphQL APIs. Programming: Proficient in Python for ETL automation and SQL for database management. Cloud Platforms: Strong experience with AWS or Azure data services. (GCP familiarity is a plus) . Data Warehousing: Expertise with Snowflake, Amazon Redshift, or Azure Synapse Analytics. Integration: Experience integrating data via RESTful APIs. Communication: Excellent articulation skills to explain technical work directly to clients and stakeholders. Authorization: Must have valid work authorization in the United States. Salary Range: $65,000- $80,000 per year Benefits: This role includes health insurance, paid time off, and opportunities for professional growth and continuous learning within a fast-growing global analytics company. Equal Opportunity Employer NeenOpal Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.