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Job Title: Data Scientist Duration: 6 Months to hire Location: Newark, NJ Job description: As a Data Scientist supporting U.S. Businesses (USB) Service, Data and Technology organization, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to design, build, and deploy production-grade AI capabilities for our businesses. The role requires a rare combination of sophisticated AI engineering expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis at least 3 days per week. Here is what you can expect in a typical day: • Responsible for the hands-on design and development of production-grade GenAI and Agentic solutions comprising the portfolio developed by the Data Science Lead and the technical requirements specified. Perform hands-on context engineering, agent design, model integration, and end-to-end AI system development., • Design and build AI agent harnesses, orchestration frameworks, and context engineering pipelines; develop and integrate Model Context Protocol (MCP) servers to expose tools, data sources, and enterprise APIs to AI agents in a standardized, secure manner; and implement Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Write production-level code and partner with machine learning engineers and platform teams to deliver AI solutions from development through production following the full AI lifecycle., • Continuously research new methods for problem solution, including new algorithms, agentic frameworks, context management techniques, and AI application patterns., • Partner with machine learning engineers to productionize AI solutions. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. The Skills and expertise you bring: • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines, • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges, • Excellent problem solving, communication and collaboration skills Applied experience with several of the following: • AI Engineering & Production AI Lifecycle: Ability to design, build, and deliver AI systems end-to-end in a production environment. Deep understanding of the AI lifecycle — from problem framing and data preparation through model development, evaluation, deployment, monitoring, and continuous improvement. Experience with CI/CD for AI, model versioning, observability, and responsible AI practices., • Generative AI, Agentic & Context Engineering: Expertise in modern Generative AI and NLP technologies including LLMs, RAG, LangChain, LangGraph, vector databases, etc. Skilled in context engineering — prompt engineering, dynamic context construction, context window management, and structured output design. Experience building AI agent harnesses and orchestration frameworks including scaffolding, tool registries, and evaluation loops. Hands-on experience designing MCP servers to expose enterprise tools and APIs to AI agents, and implementing Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models, • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL

Application Specialist – Mobile Workforce Management (MWM) / Enterprise Asset Management (EAM) Location: Paramus, NJ (Onsite Travel Required (Mandatory presence Monday & Wednesday) Experience: 5+ Years Type: Long-term Contractual Role Role Overview: We are seeking an experienced Application Specialist to support and maintain critical Mobile Workforce Management (MWM) and Enterprise Asset Management (EAM) applications used by field crews and dispatch teams. This role acts as a bridge between field operations, business users, and IT teams, ensuring applications remain operational and data flows correctly across integrated systems. The ideal candidate will have strong SQL expertise, L2 application support experience, and exposure to workforce management tools within utility or telecommunications environments. Key Responsibilities: Application Monitoring & Support Provide L2 application support for MWM/EAM systems. Monitor application performance and system health to ensure uninterrupted service for field technicians and dispatch teams. Troubleshoot and resolve system issues reported by users. Troubleshooting & Incident Resolution Investigate and resolve application failures, synchronization issues, and work order processing errors. Analyze logs, system alerts, and data inconsistencies to identify root causes. Database & Data Management Write and execute SQL queries (Oracle or MS SQL Server) to troubleshoot data issues. Validate, update, and report on application data as required. System Configuration & Change Management Assist with software installations, configurations, and updates. Follow ITIL-based change management processes for system modifications. Manage application access and security configurations. Integration & Development Support Support integrations between MWM/EAM and other enterprise systems such as metering, billing, and asset systems. Work with development teams to understand deployment processes and support application updates. User Support & Documentation Provide technical assistance to field staff and business users. Support application installations on Windows devices and iOS mobile platforms. Create and maintain documentation, troubleshooting guides, and operational runbooks. Service Management Manage incidents and service requests through ServiceNow. Track and resolve tickets within defined SLAs. Required Qualifications 5+ years of experience working with utility or telecommunications organizations. Hands-on experience supporting Mobile Workforce Management (MWM) or Enterprise Asset Management (EAM) systems. Strong experience with SQL (Oracle or Microsoft SQL Server). Experience providing L2 application support and troubleshooting enterprise applications. Hands-on experience with ServiceNow for incident and request management. Experience with application installation, configuration, and troubleshooting. Understanding of software development lifecycle and deployment processes. Strong problem-solving and analytical skills. Ability to communicate technical issues clearly to both technical teams and field operations staff. Willingness to travel as required and be onsite Monday and Wednesday (mandatory). Preferred / Nice to Have Experience with workforce management platforms such as: IFS Mobile Workforce Management HxGN EAM Kloudgin Knowledge of AMI/Metering systems such as: Sensus Itron Experience with APIs, integrations, or scripting (Python / PowerShell). Familiarity with ITIL processes and service management frameworks. AWS Cloud certification is a plus.

Our Client which is a large Payroll Firm is urgently looking for Sr. Full Stack Python Developer Sr. Full Stack Python Developer Location: Roseland, NJ Long Term Contract. Hybrid - 3 days at office Sr. FS Python – Python, Fast API, React, Django, Flask, Java Script, AWS. AI-ML Face to Face Interview is required. We are seeking an experienced Senior/Lead Software Developer to join our team and drive technical excellence across our full stack applications. This role requires a versatile engineer with minimum 5 to 6 years of experience who can architect solutions, mentor team members, and deliver high quality software across multiple technology stacks. About the Role This position offers the opportunity to work on challenging problems at the intersection of traditional software engineering and modern AI capabilities. You'll be instrumental in shaping our technical direction while building products that leverage the latest cloud and AI technologies. Required Technical Skills Backend Development Python: Advanced proficiency in Python development, including frameworks like Flask/FastAPI/Django Apache Airflow: Experience building and managing data pipelines and workflow orchestration API Design: RESTful APIs, GraphQL, microservices architecture Database: SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis) Frontend Development React: Advanced React.js development with modern hooks, state management (Redux/Context API) JavaScript/TypeScript: Strong ES6+ and TypeScript skills UI/UX: Responsive design, component libraries, modern CSS frameworks Cloud & AI AWS: Hands on experience with core AWS services: Compute: EC2, Lambda, ECS/EKS Storage: S3, RDS, DynamoDB Integration: API Gateway, EventBridge, SQS/SNS AI/ML Integration: Experience integrating AI models, LLMs, or ML services into applications Infrastructure as Code: CloudFormation, Terraform, or CDK Development • Build robust backend services using Python., • Develop responsive, user-friendly frontend applications with React, • Implement and maintain data pipelines using Apache Airflow, • Integrate AI/ML capabilities into applications - Nice to Have, • Deploy and manage applications on AWS infrastructure, • Write comprehensive unit, integration, and end-to-end tests Mentorship & Collaboration • Mentor junior and mid-level developers, • Collaborate with product managers, designers, and stakeholders, • Participate in agile ceremonies and sprint planning, • Document technical designs and system architecture, • Share knowledge through tech talks and documentation Qualifications Required • Lead professional software development experience, • Strong proficiency in Python and at least one other backend language (Java/.NET), • Proven experience with React and modern frontend development, • Hands on AWS cloud experience, • Experience with Airflow or similar workflow orchestration tools, • Understanding of AI/ML concepts and integration patterns, • Strong problem-solving and debugging skills, • Excellent communication and collaboration abilities, • Bachelor's degree in computer science or equivalent experience Preferred • Experience with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions), • Knowledge of containerization (Docker, Kubernetes), • Experience with monitoring and observability tools (CloudWatch, Datadog, New Relic), • Familiarity with LLM integration (OpenAI, Anthropic Claude, AWS Bedrock), • Agile/Scrum experience

Contract to hire position with a major financial firm. This position is hybrid to Newark, NJ As a Data Scientist on the Data Science team, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of sophisticated data science solutions comprising the portfolio developed by the Lead Data Scientist and Actuaries and the technical requirements specified by the Lead Data Scientist and Actuaries. • Perform hands-on data analysis, model development, model training, model testing, model deployment. • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques. • Write production-level code and partner with machine learning engineers to push development code into production. • Partner with machine learning engineers to productionized machine learning models. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. • Work closely with the business and data science lead to recommend and develop models for GI financial underwriting, medical underwriting, marketing analytics and other business use cases. • Manage external vendors in the execution of the data science development process. The Skills and expertise you bring: • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines. • Working on complex problems in which analysis of situations or data requires an in[1]depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criteria for obtaining results. • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business. Create and test hypotheses for customer engagement and wellness programs. • Experience in research, designing experiments (ex: A/B testing), working with claims and customer experience data. An insurance actuary background is preferred but not required. • Ability to learn creative skills and knowledge on an on-going basis through self[1]initiative and solving challenges., • Excellent problem solving, communication and collaboration skills. Applied experience with several of the following: • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's, SQL and NoSQL. Transform data using SQL, NoSQL, and Python. Visualizing data using a diverse tool set including but not limited to Python and R. • Database Management System: Knowledge of how databases are structured and function in order to use them e8iciently may include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc. o Knowledge of how to work with data from (do not build) o SQL skills (relational) - CORE / Initial Proficiency o Unstructured (NoSQL) o Graph / ontology (DB Graph) • Model Deployment: Understanding of: MDLC (Model Development Life Cycle), CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness etc.), A/B testing. Pipeline frameworks like MLFlow, AWS SageMaker pipeline etc. model and data versioning. • Statistics and Computing: Exceptional understanding of: Calculus, Multivariable Calculus, Linear Algebra, Di8erential Equations, Probability, Statistics, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured). • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, and monitoring machine learning models. Understanding and expertise in NLP (natural language processing). • Programming Languages: Python, R, SQL, Java or Scala, SQL, Cypher

We are seeking a senior, hands-on Enterprise Applications Engineer to serve as the technical owner and Tier-3 escalation point for our Shopify Plus ecommerce platform and its integrations with enterprise systems. This role will lead the Salesforce Commerce Cloud to Shopify Plus replatform from an integration and interoperability standpoint, then transition into senior ownership, cross-training, and escalation support across the enterprise application landscape. About the Role Senior technical ownership of the Shopify Plus implementation, including all enterprise integrations. Responsibilities • Shopify Plus Implementation & Ownership, • Serve as senior technical owner for the Salesforce Commerce Cloud ? Shopify Plus replatform from an enterprise integration perspective., • Design, build, and debug Shopify Plus integrations across ERP, OMS, POS, financial systems, and downstream analytics platforms., • Own production stability during cutover and post-launch, acting as Tier-3 escalation for cross-system incidents., • Enterprise Integrations & Ongoing Support, • Share responsibility with the development and integrations team for existing enterprise integrations beyond Shopify., • Build and maintain APIs, middleware, automation, and backfills supporting enterprise workflows., • Partner closely with the Enterprise Applications Support team to ensure clean escalation paths and durable fixes., • Data, BI & Analytics Partnership, • Work closely with BI & Analytics to validate data flows, reconcile system-of-record discrepancies, and remediate upstream integration issues., • Use SQL-based analysis to ensure operational and financial data accuracy across systems., • Team Enablement & Escalation, • Serve as the senior escalation point for complex integration and platform issues., • Cross-train development, integration, and support teams on Shopify Plus integrations and enterprise patterns., • Establish documentation, standards, and repeatable support models to reduce single-point-of-failure risk. Qualifications • Demonstrated, hands-on experience with Shopify Plus, including production integrations with ERP, OMS, POS, or financial systems., • Senior-level experience building and supporting enterprise integrations using APIs and event-driven architectures., • Strong SQL skills for data validation, reconciliation, and debugging across systems of record., • Strong experience with Python for integrations, automation, backfills, and data processing., • Experience acting as an escalation point for production incidents involving multiple systems., • Preferred Qualifications, • Experience with .NET in ERP environments (e.g., BlueCherry or similar)., • Retail, ecommerce, or omnichannel business experience., • Experience working alongside external agencies during platform implementations., • Experience working with dbt and modern ELT/data transformation tools (e.g., dbt Cloud, Fivetran, Airflow or similar), including supporting and troubleshooting downstream analytics and data model Role Clarifiers: This is not a frontend or Shopify theme/Liquid-only role. This is not a helpdesk or Tier-1 support role. This is an individual contributor role with no people management responsibilities. Equal Opportunity Statement We are committed to diversity and inclusivity.

Who You Are: The Tableau Developer is a key member of the Data & Analytics team reporting to Director of BI. This role is responsible for designing, developing, and maintaining interactive dashboards and reports using Tableau to support business decision-making. This role partners business stakeholders, data engineers, and analysts to translate complex data into intuitive visual insights while ensuring performance, data accuracy, and best visualization practices. The role will follow Tableau best practices for visualization design, naming conventions, and documentation while also maintaining version control and promoting content across environments (Dev / Test / Prod) On Tableau Cloud. What You'll Do: • Design and develop interactive Tableau dashboards and reports that clearly communicate key business metrics and trends., • Translate business requirements into effective data visualizations using best practices in visual analytics., • Optimize dashboards for performance, scalability, and usability., • Connect Tableau to multiple data sources (e.g., SQL databases, data warehouses, cloud platforms, Excel, APIs)., • Create and maintain data models, joins, calculations, parameters, and filters., • Perform data validation and reconciliation to ensure accuracy and consistency., • Work closely with stakeholders to gather requirements and understand reporting needs., • Provide data-driven insights and recommendations to support strategic and operational decisions., • Conduct user training and enablement sessions when needed., • Monitor dashboard usage and performance., • Troubleshoot data issues, refresh failures, and user access problems., • Enhance and maintain existing dashboards as business needs evolve. You'll Need To Have: • Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field., • 5+ years of Tableau development experience., • Solid understanding of SQL for data querying and validation., • Experience working with relational databases and data warehouses (e.g., Snowflake, Redshift, SQL Server, Oracle)., • Strong knowledge of calculated fields, LOD expressions, table calculations, and parameters., • Strong analytical mindset with attention to detail., • Ability to interpret data and explain insights clearly to non-technical audiences., • Understanding data modeling concepts (facts, dimensions, star schema)., • Excellent communication and stakeholder management skills., • Ability to gather requirements and translate them into technical solutions., • Strong problem-solving and time management skills. We'd Love To See: • Experience with Tableau Cloud administration., • Knowledge of ETL tools like Talend or AWS Glue., • Experience with Python or R for advanced analytics., • Familiarity with Agile / Scrum methodologies., • Tableau certification (Desktop Specialist, Certified Data Analyst, etc.). Capri Perks: • Generous Holiday Schedule & Vacation Days, • Internal mobility across Capri Brands (Michael Kors, Jimmy Choo, Versace), • Cross-brand Discount, • Exclusive Employee Sales, • Fav 5 Cards (MK Discount for friends and family), • 401k Match, • Paid Parental Leave, • Thrive Wellness Program (seasonal in-office massages and more!), • Commuter Benefits, • Gym Discounts CAPRI HOLDINGS is a global fashion luxury group consisting of iconic, founder-led brands Jimmy Choo and Michael Kors. Our commitment to glamorous style and craftsmanship is at the heart of each brand, as we design innovative products across the full spectrum of fashion luxury categories. The unique DNA and heritage of each brand, combined with the diversity and passion of our people, and our dedication to clients and communities, define our success. The Company is an equal employment opportunity employer. The Company’s policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, military status, disability, genetic information or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories. At Capri Holdings Limited, we are committed to providing a fair and accessible recruitment process. If you require a reasonable accommodation for the interview or application process, please contact our Talent Acquisition team at . In compliance with certain Pay Transparency laws, employers are required to disclose a salary range. The salary for this position will vary based on role requirements, skill set and years of experience.

Job DescriptionSummary We are seeking a Mid-Level Software Developer who is fluent in modern technology stacks and capable of translating business and technical requirements into high-quality, scalable software solutions. This is a solo developer position, ideal for a proactive problem-solver who can thrive independently and take full ownership of the development lifecycle. A primary focus of this role will be leading the end-to-end rebuild of one of the company’s main applications, requiring the candidate to architect and deliver a modernized solution from concept through deployment. The ideal candidate possesses strong technical fundamentals, experience with contemporary development tools, and the self-motivation to drive major projects forward while staying current with evolving industry best practices. This position is a full-time, onsite role in Lyndhurst, New Jersey.Responsibilities • Analyze and interpret functional requirements, transforming them into clear technical specifications and actionable development tasks., • Design, develop, test, and maintain full-stack applications using modern frameworks and best practices., • Build and integrate RESTful APIs, backend services, and/or front-end components as required by project scope., • Write clean, maintainable, well-documented code and contribute to continuous improvement of team standards., • Participate in architectural discussions and help guide technology decisions based on current industry trends., • Debug and resolve software defects, performance issues, and integration challenges., • Collaborate in an Agile environment, contributing to sprint planning, estimation, and code reviews., • Support deployment workflows, CI/CD pipelines, automated testing, and version control processes., • Communicate progress effectively and provide realistic estimates for tasks and project milestones.Required Skills & Qualifications, • 2–5 years of professional software development experience., • Proficiency in one or more modern languages such as C#, Java, Python, JavaScript/TypeScript, or C++., • Experience with contemporary frameworks such as .NET, Spring Boot, Node.js, React, Angular, or similar., • Strong grasp of REST API design, microservices concepts, and application architecture fundamentals., • Familiarity with relational databases (MySQL, PostgreSQL,Oracle) and writing efficient SQL queries., • Working knowledge of Git, Agile methodologies, and standard software engineering practices., • Ability to break down requirements, ask clarifying questions, and deliver high-quality implementations with minimal oversight. Powered by JazzHR LSmBelouoF

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do: We are seeking a Data Center Energy Analyst to support energy data management, analysis, and forecasting across a rapidly expanding data center portfolio. As demand for AI and high-performance compute accelerates, energy cost, usage, and forecasting accuracy are increasingly critical to operational and financial decision-making. About the Role: This role sits within the Portfolio Operations organization, operating at the intersection of Data Center Operations, Finance, and external energy partners. You will partner closely with internal stakeholders and third-party providers to ensure the accuracy and integrity of energy data, support forecasting and accrual processes, and build the analytical foundation required to scale our data center portfolio efficiently. This is a high-impact opportunity to join a fast-growing team early and help establish scalable energy data, reporting, and operational processes critical to CoreWeave's continued growth. In this role, you will: • Own the end-to-end collection, validation, and analysis of energy usage and cost data across the data center portfolio, • Partner with data center providers, utilities, and third-party energy partners (e.g., Arcadia) to obtain billing, interval usage, and rate data, resolving discrepancies and ensuring data integrity, • 3+ years experience working with energy usage, utility data, or power cost analysis, • Strong background in data analysis, including collecting, cleaning, and interpreting large datasets, • Proficiency in Excel and/or Google Sheets, including analytical modeling and data validation, • Experience supporting data center, hyperscale, or large-scale infrastructure operations is HIGHLY preferred, • Familiarity with interval meter data, power pricing structures, and utility billing, • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $75,000 to $100,000. The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCompany Description Job Description Job title: Full Stack .Net AWS Cloud Developer Location: Newark, NJ Job summary: The client is looking for a versatile and pragmatic Full Stack AWS Cloud Developer to architect, build, and maintain scalable cloud/on-prem hybrid applications. They must have a deep understanding of the front-end and back-end aspects of application development. On the front-end, they must be able to design and implement user interfaces using HTML, CSS, and JavaScript. On the back-end, they must be able to work with SQL and NoSQL databases, web services, and other server-side and serverless resources. They must be able to work across the stack—from intuitive front-end interfaces to robust back-end services—leveraging AWS platform to deliver secure, high-performance solutions. Key Responsibilities are: • Design and develop full-stack applications using modern frameworks (e.g., React, Angular, Node.js, Python, .NET, JavaScript), • Build and deploy cloud-native services on AWS using Lambda, API Gateway, ECS, S3, DynamoDB, RDS, and more, • Implement CI/CD pipelines using Azure Pipelines, GitHub Actions, • Participate in requirements discussions and transform them into useful applications in line with service goals., • Support, maintain and enhance existing applications and fix issues., • Collaborate with peers to create the most effective solution possible using the .Net framework and Microsoft tech stack., • Take responsibility for identifying and reducing technical debt in existing code structure while boosting application effectiveness and improve performance., • Deliver error-free code that complies with secure coding practices., • Able to provide technical assistance for web, mobile, and desktop applications., • Incorporate data storage systems and preserve code quality., • Ensure application security and scalability, following AWS best practices and Well-Architected Framework, • Collaborate with cross-functional teams including DevOps, UX, and product managers to deliver end-to-end solutions, • Monitor and optimize performance using CloudWatch, X-Ray, and other observability tools, • Document architecture and workflows using Confluence, diagrams, and version-controlled README files, • Hands-on experience with AWS services including Lambda, EC2, S3, IAM, and DynamoDB, • Knowledge of authentication/authorization patterns (OAuth2, Cognito, JWT), • Strong debugging, testing, and performance tuning skills, • Knowledge of frontend frameworks like Next.js, Vue, or Svelte Regards, Hameed Shaikh Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description The AI Analyst will oversee AI product development, deployments, and compliance, ensuring that AI solutions align with strict regulatory standards and quality benchmarks. This individual will drive data-informed decision-making across the AI product lifecycle, from strategy development and governance to execution and ongoing operations. Responsibilities • Strategy & Development: Partner with product managers and data scientists to understand and inform AI product roadmaps, supporting rollout plans for new AI features and models. • Governance & Compliance: Analyze opportunities, risks, strengths, and weaknesses regarding AI regulations; derive critical issues of the future to ensure all AI deployments meet compliance and governance standards. • Quality & Validation: Assist in the implementation and validation of AI analytics tracking solutions to ensure accurate data collection, model performance measurement, and quality assurance. • Operations: Manage the operational performance of AI products, ensuring they are performing as expected and managing any incidents or performance degradation11. • Innovation: Research the competitive landscape and emerging AI trends to formulate growth strategies, create forecasts, and identify opportunities for innovation within the healthcare AI space • Analysis: Conduct thorough analysis of digital data and AI model outputs to inform sprint planning, backlog refinement, and prioritization discussions. • Collaboration: Work closely with cross-functional teams (Legal, Compliance, Data Science, Engineering) to define user stories and acceptance criteria based on data insights, business priorities, and regulatory requirements. • Communication: Provide regular updates and reports on key performance metrics, trends, and insights to stakeholders, acting as a subject matter expert on AI analytics and governance best practices Qualifications • Bachelor's Degree: Computer Science, Business, Data Science, or a related field, • Extensive knowledge of Digital Product Management and AI Development lifecycles., • Extensive knowledge of relevant market trends with the ability to identify opportunities., • Healthcare or clinical lab industry knowledge beneficial., • Awareness of change management principles., • AI certification, • Business/Digital Analysis: Strong analytical and critical thinking skills with the ability to tell a story ”what does the data tell us?". • AI & Technical: Deep technical skills regarding AI/ML deployment and validation., • Collaboration: Ability to build strong and trusted relationships and collaborate with others for optimal results., • Agile: Proficient in Agile development methodologies., • Tools: Advanced level expertise in analytical tools (e.g., Excel, Tableau, Python, SQL Preferred • Master's Degree: MBA, Data Science or a related field, • 5-7 years' experience in a similar role (can include related experience, such as product management, data analysis, or compliance) • Able to showcase previous digital product or AI improvements that you owned., • At least 3 years' experience working in an Agile framework with digital products, • Demonstrated passion for Customer Experience and acting as an advocate for customers, • Experience in coaching, mentoring, and/or training other team members on AI tools or governance., • Proven ability to sift through data, identify critical information, analyze, and make recommendations that influence successful product outcomes

Job Description COMPANY PROFILE: At WTEC Energy, we help bring power to millions of people and businesses across the United States. Headquartered in Hasbrouck Heights, NJ, we are a leading manufacturer servicing the energy market with locations in 4 states. WTEC Energy is a privately held company committed to providing innovative, sustainable energy products and solutions for today and tomorrow. We service and support diverse markets including: Renewables (Solar and Wind), Electric Utility (Transmission, Substation and Distribution), Oil & Gas (Refineries and Production), Communications (Fiber Optic), Industrial OEM (Wind Turbine) and Petrochemical. WTEC Energy is a Minority Business Enterprise (MBE) that promotes a positive work environment where individual contributions, innovation, and cultural diversity are valued. We are proud to offer competitive compensation and employee benefits with significant career growth potential. COMPANY WEBSITE: What do we expect from Data Analyst? Having enough raw data will not help the business reach their goals but making sense with data is .Data Analysts do more than merely presenting numbers and figures to management. They take more in-depth approach to recording, analyzing raw data for insights and trends , obstructing meaningful information , and presenting the findings in an easy format. The responsibilities of a data analyst often include: • Designing and maintaining data systems and databases, including troubleshooting potential issues, • Mining and cleaning data in preparation for analysis, • Source and query data required for both ongoing business intelligence efforts and larger-scale data science projects., • Draw meaningful insights from large datasets, • Support daily reporting on core business functions., • Use visualization tools to present complex data in a simple, engaging manner., • Assist in the management of long-term data projects. Effectively communicate with business stakeholders., • Identify opportunities for new data projects. Ask smart questions, diagnose the real problem, and develop a long-term solution., • The candidate must have a strong background in computer science, engineering, mathematics, • 3+ years’ experience with data extraction, manipulation, and presentation in a usable format, • Technical experience that involves querying and manipulating data to address business problems, • MySQL and SQL Server: proficient with complex queries, • MS Excel: advanced proficiency (Pivot Tables, Pivot Charts, AutoFilter, Macro, VBA, and Advanced Formulas, • -MS Access: proficient with loading data, writing queries and manipulating data, • Power BI, • Experience in common analytics tools (SQL, Tableau, Adobe/Google Analytics), • Knowledge of coding languages (i.e. R, Python), • data visualization and presentation skills, This job operates in a professional office setting. This role uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines to perform day to day duties and activities. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms. Benefits We offer our employees a competitive salary and benefits package, which includes a comprehensive Medical, Vision, and Dental Plan, Company paid Life and Disability Insurance, 401(k) Plan, and Education/Certification assistance. WTEC Energy is an equal opportunity employer. We recognize the power and importance of a diverse employee population and strongly encourage applicants with various experiences and backgrounds

Job DescriptionDescription Who We Are: APC is a dynamic, growing international delivery and technology solutions provider. Established in 2001, APC has been simplifying international delivery for over 20 years, helping U.S. businesses build brands abroad, expand their consumer base, increase revenue, and their global reach. Our extensive, reliable worldwide delivery network and proprietary technology empower our brands to succeed. We are committed to expanding our footprint and continuously investing in innovative delivery and technology solutions as we aim to be the leading resource for cross-border solutions. About the Role: Reporting to the Head of Technology, the Data Architect / Lead Data Engineer will own the design, implementation, scalability, and business impact of APC’s data platform supporting a high‑volume, complex logistics operation. This is a hands‑on, senior technical role responsible for shaping how data flows from raw operational systems through trusted analytics and into production‑grade models that drive decision‑making across the business. You will lead the evolution of the data stack end‑to‑end, balancing architectural rigor with real‑world constraints such as imperfect data, operational urgency, and cost efficiency. Partnering closely with engineering, product, operations, finance, and leadership, you will translate complex business questions into durable data solutions that directly impact shipment performance, customer experience, pricing, and profitability. This role is well‑suited for someone who enjoys deep technical ownership, cross‑functional collaboration, and building systems that operate at scale in production environments. About the Candidate:You are a hands‑on, systems‑oriented data leader who enjoys working close to the business and taking ownership of complex, real‑world data challenges. You are comfortable operating at the intersection of architecture, engineering, analytics, and applied data science, and you thrive in environments where data is imperfect, scale is real, and impact is tangible. You bring a strong sense of accountability and technical judgment, with the ability to make thoughtful tradeoffs and move initiatives forward. You communicate clearly with both technical and non‑technical partners, build trust through reliability and transparency, and enjoy mentoring others while setting a high bar for data quality and engineering discipline. Key ResponsibilitiesData Platform & Warehouse Leadership • Own the architecture, scalability, performance, and cost efficiency of the enterprise data warehouse and analytics platform., • Design and maintain dimensional and analytical data models supporting core logistics and financial use cases, including shipments, customs data, carrier performance, SLAs, revenue, and margins., • Establish and enforce best practices for data modeling, schema evolution, data quality monitoring, lineage, documentation, and cost governance., • Lead data platform migrations, upgrades, and modernization initiatives as needed., • Design, build, and operate reliable, observable ELT/ETL pipelines from internal systems, third-party APIs, and event streams, including change data capture where required., • Ensure pipeline resilience through strong handling of data freshness, schema drift, backfills, reprocessing, and failure recovery., • Integrate data across core operational platforms, including OMS, WMS, TMS, payments, CRM, and marketing systems., • Partner with application and platform engineers on event design, instrumentation, and data contracts.Analytics Engineering & Business Enablement, • Build and maintain trusted semantic layers, metrics definitions, and curated data marts for analytics, operations, finance, and executive reporting., • Define and operationalize canonical KPIs across shipment performance, carrier reliability, exceptions, margins, and customer lifecycle metrics., • Enable governed self-service analytics while preserving data accuracy, consistency, and trust.Applied Data Science & Advanced Analytics, • Develop and product-ionize analytical models for forecasting, operational optimization, anomaly detection, and customer behavior analysis., • Design experiments and analyses with clear business impact and measurable ROI, and operationalize outputs into dashboards or workflows., • Serve as technical owner for data architecture, tooling selection, and platform standards., • Own the architecture, scalability, performance, and cost efficiency of the enterprise data warehouse and analytics platform., • Design and maintain dimensional and analytical data models supporting core logistics and financial use cases, including shipments, customs data, carrier performance, SLAs, revenue, and margins., • Establish and enforce best practices for data modeling, schema evolution, data quality monitoring, lineage, documentation, and cost governance., • Lead data platform migrations, upgrades, and modernization initiatives as needed., • Design, build, and operate reliable, observable ELT/ETL pipelines from internal systems, third-party APIs, and event streams, including change data capture where required., • Ensure pipeline resilience through strong handling of data freshness, schema drift, backfills, reprocessing, and failure recovery., • Integrate data across core operational platforms, including OMS, WMS, TMS, payments, CRM, and marketing systems., • Partner with application and platform engineers on event design, instrumentation, and data contracts., • Build and maintain trusted semantic layers, metrics definitions, and curated data marts for analytics, operations, finance, and executive reporting., • Define and operationalize canonical KPIs across shipment performance, carrier reliability, exceptions, margins, and customer lifecycle metrics., • Enable governed self-service analytics while preserving data accuracy, consistency, and trust., • Develop and productionize analytical models for forecasting, operational optimization, anomaly detection, and customer behavior analysis., • Design experiments and analyses with clear business impact and measurable ROI, and operationalize outputs into dashboards or workflows., • Serve as technical owner for data architecture, tooling selection, and platform standards., • Mentor engineers and analysts, lead design reviews, and set pragmatic standards balancing speed, reliability, and cost. Skills, Knowledge and Expertise • 8+ years of experience in data engineering, analytics engineering, or applied data science roles, with demonstrated ownership of production data systems., • Proven experience designing and operating a scalable data warehouse or analytics platform in a production environment., • Advanced SQL expertise, including query optimization, indexing and partitioning strategies, dimensional modeling, and slowly changing dimensions., • Strong experience building and maintaining data pipelines using modern data tooling and orchestration frameworks., • Proficiency in Python or a similar language for data processing, modeling, and automation., • Experience working with large‑scale, high‑volume operational datasets and managing data quality in real‑world conditions., • Strong systems thinking and the ability to design for reliability, performance, and cost control., • Demonstrated ability to translate business problems into effective technical solutions., • Experience in logistics, e‑commerce, supply chain, fulfillment, or adjacent domains is strongly preferred. Core Competencies Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiencesManages Complexity: Making sense of complex, high quantity, and sometimes contradictory informationBusiness Insight: Applying knowledge of business goals and the marketplace to advance the organization’s goalsFinancial Acumen: Interpreting and applying understanding of key financial indicators to make better business decisions

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 DescriptionCompany Description About KIPP TEAM and Family KIPP TEAM & Family is our network office that includes support teams - such as Leadership Development, Recruitment, Advocacy, Facilities, Finance, HR and more - dedicated to empowering our schools and ensuring the success of KIPP students throughout New Jersey and Miami. Our schools are part of the nationally recognized “Knowledge Is Power Program” network of free, open-enrollment, college-preparatory public schools dedicated to preparing students for success in college and in life. The first KIPP New Jersey school opened in Newark in 2002 and since then our school network has expanded to educate 8,684 students in grades K-12. By 2027, KIPP New Jersey will provide a world-class education to over 10,300 students across Newark, Paterson, and Camden. To learn more, visit . In 2018, we grew our KIPP community in response to a need for high-quality school options for students in Greater Miami’s Urban Core communities. That led to the creation of KIPP Miami, which currently educates more than 1,200 students in 2 schools, with plans to reach 5,800 students by 2026. By offering highly effective educators with strong bonds to families, more time in school learning, services that support a variety of student needs, and a culture focused on achievement, our students in New Jersey and Miami are on the path to and through college, career, and choice-filled lives. Job Description Here's what you need to know: KIPP Team & Family Schools seeks a K-12 Data Systems & Support Analyst to serve as the operational backbone of our Data team, supporting 20+ schools as we grow to over 15,000 students across New Jersey and Miami. In this role, you’ll keep our core systems running smoothly while solving problems across student information systems (PowerSchool, Focus, DeansList), instructional technology platforms (Clever), and a wide range of reporting and operational needs. This is a high-impact role for someone who enjoys working with data, troubleshooting complex systems, and taking on new projects as our technology and data infrastructure continue to evolve. This role is specifically focused on K-12 data systems, not corporate data analytics or business intelligence. Here's what you'll be doing: SIS Operations & Support (35%) • Serve as primary Tier 1-2 support for student information systems across all regions and multiple platforms (PowerSchool, Focus, DeansList), • Resolve daily tickets (login issues, configuration issues, grade audits, custom configurations) and lead rtouine protocols like report card cycles, school scheduling and executing start-of-year and end-of-year system processes, • Serve as administrator for rostering and app integration platforms in Clever, and work closely with the Teaching & Learning team to coordinate successful configurations, troubleshooting integrations between SIS and instructional tools, • Ensure all platforms are ready for the first day of school, • Serve as the central support gatekeeper for the Data team: monitor, triage, and route all incoming requests via Zendesk and project intake protocols., • Handle Tier 1 support across survey platforms, performance management tools, recruitment data, and data dashboards., • Support data compliance reporting across KIPP Foundation, state reporting, federal submissions (CRDC, CSGF), grants compliance, and state testing coordination., • Create and maintain knowledge base articles and help guides for support and business processes, • Identify patterns in support requests and propose scalable solutions - macros, templates, self-service resources, AI chatbots., • Innovate with AI-assisted support initiatives.Qualifications Must Haves: • Hands-on experience managing or administering student information systems in a K-12 environment including direct experience working in PowerSchool (or comparable SIS such as Infinite Campus, Skyward, Aspen), • Experience supporting student data systems in a K-12 school or district environment, • Familiarity with enrollment, scheduling, attendance, grading, and compliance reporting, • Systems experience:, • Instructional tech platforms: Working knowledge of rostering and integration platforms, and familiarity with common instructional tools and SIS integrations., • Data fluency: Strong understanding of data quality principles, relational database concepts, and how data flows between interconnected systems., • Support orientation: Proven experience providing technical support to non-technical users — explaining complex issues simply, de-escalating frustration, following through on resolution., • Communication: Excellent written communication for both technical documentation and stakeholder-facing updates. Comfortable writing help guides, process docs, and clear ticket responses., • Self-management: Ability to independently manage a high volume of varied tasks, prioritize across competing demands, and meet cyclical deadlines (first day of school, end of year, report card cycles, compliance windows)., • 2+ years in a K-12 school operations, data, or technology role, • Experience with Zendesk or similar ticketing systems, • Familiarity with Google Workspace administration, • Exposure to SQL, Python, Tableau, or data visualization tools, • Experience with compliance reporting in NJ or FL state contexts, • They've been the person at a school who "just figures things out" with data and technology, • They can context-switch between a detailed SIS configuration and a quick message to a frustrated school ops lead without losing quality on either, • They see patterns in support tickets and think about root causes, not just one-off fixes, • They're genuinely curious about AI and how it can make support workflows more efficient, • They understand that in a fast-growing org, good documentation is a superpower Additional Information The salary range for this role is $75,000 - $95,000. Salary ranges at KIPP are set based upon the role level and function using benchmarks in the education and non-profit sector and allow for growth within the role. Individual compensation will be set based on a variety of factors, including but not limited to: relevant professional experience and qualifications; education, skills and training; and market conditions. In addition to a competitive salary, KIPP offers a generous benefits package including, but not limited to, the following: • Robust benefits that include medical, dental, and vision, • KIPP 403b retirement plan, including matching contributions, • A school-issued laptop, • Generous Time-Off Policy, • Up to 12 weeks 100% parental leave for primary caregivers, • Employer paid life insurance

Job Description Job Title: Senior Enterprise Applications Engineer Location: Secaucus, NJ (Hybrid) Salary: $160K – $185K + Bonus High End Fashion Apparel company seeks Senior Enterprise Applications Engineer to join their Team! Responsibilities · Serve as senior technical owner for the Salesforce Commerce Cloud conversion to Shopify Plus replatform from an enterprise integration perspective. · Design, build, and debug Shopify Plus integrations across ERP, OMS, POS, financial systems, and downstream analytics platforms. · Own production stability during cutover and post-launch, acting as Tier-3 escalation for cross-system incidents. · Share responsibility with the development and integrations team for existing enterprise integrations beyond Shopify. · Build and maintain APIs, middleware, automation, and backfills supporting enterprise workflows. · Partner closely with the Enterprise Applications Support team to ensure clean escalation paths and durable fixes. · Work closely with BI & Analytics to validate data flows, reconcile system-of-record discrepancies, and remediate upstream integration issues. · Use SQL-based analysis to ensure operational and financial data accuracy across systems. · Serve as the senior escalation point for complex integration and platform issues. · Cross-train development, integration, and support teams on Shopify Plus integrations and enterprise patterns. · Establish documentation, standards, and repeatable support models to reduce single-point-of-failure risk. · Qualifications · Demonstrated, hands-on experience with Shopify Plus, including production integrations with ERP, OMS, POS, or financial systems. · Senior-level experience building and supporting enterprise integrations using APIs and event-driven architectures. · Strong SQL skills for data validation, reconciliation, and debugging across systems of record. · Strong experience with Python for integrations, automation, backfills, and data processing. · Experience acting as an escalation point for production incidents involving multiple systems. · Experience with .NET in ERP environments (e.g., BlueCherry or similar). · Retail, ecommerce, or omnichannel business experience. · Experience working alongside external agencies during platform implementations. · Experience working with dbt and modern ELT/data transformation tools (e.g., dbt Cloud, Fivetran, Airflow or similar), including supporting and troubleshooting downstream analytics and data models.

A digital marketing firm is seeking a Data Analytics Intern in Secaucus, NJ. This internship provides a hands-on opportunity to gain experience in data collection, cleaning, and analysis while leveraging analytics tools like Excel, SQL, Python, and R.

A digital marketing firm is seeking a Data Analytics Intern in Secaucus, NJ.This internship provides a hands-on opportunity to gain experience in data collection, cleaning, and analysis while leveraging analytics tools like Excel, SQL, Python, and R.Interns will contribute to actionable business str

Global-e (Nasdaq: GLBE) is the world’s leading platform to enable and accelerate global, direct-to-consumer cross-border e-commerce growth.The chosen partner of hundreds of retailers and brands across the United States, Europe and Asia, Global-e makes selling internationally as simple as selling d

Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt

SQL and Python scripting experience required; Scala and Javascript is a plus.

I hope you're having a great day!.I came across your profile and I have a position which you might be interested in.If you think you are a good fit for this role, then inbox me your updated resume at.Do you have the following skills, experience and drive to succeed in this role Find out below.Job Ti

Azure Data Engineer (Banking Domain).Position: Azure Data Engineer (Banking Domain) Duration: Contract Location: Newark, NJ (Need Local Profile).JD: Azure Data Engineer (MS Fabric Experience) Banking Experience Local To Newark, NJ.Technical Recruiter | Syntricate Technologies Inc.

ATTENTION MILITARY AFFILIATED JOB SEEKERS.Our organization works with partner companies to source qualified talent for their open roles.The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregiver

The ideal candidate will design, build, and optimize scalable data pipelines, ensure data quality, and enable advanced analytics and reporting through BigQuery, Dataflow, Dataform, Looker, and Python. Write Python scripts for automation, data processing, and integration with APIs.

An insurance company located in Short Hills, NJ is seeking a Data Scientist responsible for applying machine learning algorithms and statistical techniques to enhance business decision-making.The role focuses on data analysis, the development of quantitative models, and the delivery of actionable in

Working knowledge of SQL, Tableau, and Python data libraries (Pandas, NumPy).

Programming Languages: Python, R, SQL, Java or Scala, SQL, Cypher. Transform data using SQL, NoSQL, and Python. SQL skills (relational) - CORE / Initial Proficiency.

Advanced SQL skills with the ability to work hands-on with data.

Warren Street, Newark, NJ, 07102, United States.

Evocative is a global leader in Internet infrastructure, delivering enterprise-class data centers, networks, and bare metal solutions that power exceptional digital experiences.With facilities across North America, Europe, and Asia, we serve businesses that demand reliability, scalability, and secur

Programming Languages: Python, SQL. Transform data using SQL and Python. Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL.

Advanced SQL skills with the ability to work hands-on with data.

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience.At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in e

Database: SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis). FS Python – Python, Fast API, React, Django, Flask, Java Script, AWS. Python: Advanced proficiency in Python development, including frameworks like Flask/FastAPI/Django.