Requirements engineer jobs in Newark, NJ

About us: Camber builds software to improve the quality and accessibility of healthcare. We streamline and replace manual work so clinicians can focus on what they do best: providing great care. For more details on our thesis, check out our write-up: What is Camber? We've raised $50M in funding from phenomenal supporters at a16z, Craft Ventures, YCombinator, Manresa, and many others who are committed to improving the accessibility of care. For more information, take a look at: Announcing Camber About our Culture: Our mission to change behavioral health starts with us and how we operate. We don't want to just change behavioral health, we want to change the way startups operate. Here are a few tactical examples: 1) Improving accessibility and quality of healthcare is something we live and breathe. Everyone on Camber's team cares deeply about helping clinicians and patients. 2) We have to have a sense of humor. Healthcare is so broken, it's depressing if you don't laugh with us. About the role: We're seeking a proactive, tech-savvy sales operations professional with a startup mindset-someone who thrives on breaking growth barriers and enabling sales excellence. This person will be both a systems admin and a strategic partner: ensuring HubSpot and our tech stack are humming, while also helping shape compensation, territories, and GTM expansion. What you'll do: Systems & CRM Administration Manage and optimize current CRM (HubSpot) and other tech stack integrations: build workflows, dashboards, and troubleshoot system issues Support onboarding/offboarding of users, governance, data hygiene, and adoption Data, Forecasting & Reporting Design and maintain dashboards, reports, and metrics that drive decision-making (e.g., pipeline health, forecast accuracy, win rates) Deliver actionable insights to stakeholders across sales leadership Compensation & Territory Strategy Assist in designing incentive and quota plans that align with sales goals Collaborate on territory definition, alignment, and carve strategy to ensure balanced coverage Process & Cross-Functional Enablement Streamline sales workflows and sales-marketing-sales handoffs Partner across teams-Sales, Marketing, Finance-to ensure operational alignment and seamless execution Strategic & Tactical Execution Be hands-on when needed (data crunching, HubSpot tweaks) while contributing to broader sales strategy planning What we're looking for: 2-4 years in startup, sales operations, or Rev-Ops environment (or similar roles) CRM administration experience-ideally HubSpot; bonus if familiar with other tools and workflows Strong analytical skills-coding, Excel, BI, sales forecasting, data modeling Operational rigor and problem-solving mindset A strategic thinker who can scale systems and structure Thrives in growth-stage constraints; comfortable wearing multiple hats and moving quickly Perks & Benefits at Camber: Comprehensive Health Coverage: Medical, dental, and vision plans with nationwide coverage, including 24/7 virtual urgent care. Mental Health Support: Weekly therapy reimbursement up to $100, so you can prioritize the care that works best for you. Paid Parental Leave: Up to 12 weeks of fully paid time off for new parents ( birth, adoption, or foster care) . Financial Wellness: 401K (traditional & Roth), HSA & FSA options, and monthly commuter benefits for NYC employees. Time Off That Counts: 18 PTO days per year (plus rollover ), plus office closures for holidays, monthly team events, company off-sites, and daily, in-office lunches for our team. Fitness Stipend: $100/month to use on fitness however you choose. Hybrid Flexibility: In NYC? We gather in the office 3-5x/week, with flexibility when life happens. Fridays are remote-friendly. Camber is based in New York City, and we prioritize in-person and hybrid candidates. Building an inclusive culture is one of our core tenets as a company. We're very aware of structural inequalities that exist, and recognize that underrepresented minorities are less likely to apply for a role if they don't think they meet all of the requirements. If that's you and you're reading this, we'd like to encourage you to apply regardless - we'd love to get to know you and see if there's a place for you here! In addition, we take security seriously, and all of our employees contribute to uphold security requirements and maintain compliance with HIPAA security regulations.

Job Title: BI Engineer (Tableau & Power BI - platforms/server) Duration: 12 months long term project US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time Summary of the job -Extremely technical/hands on skills on Power BI, Python and some Tableau - Financial, Asset Management, banking background - FIX Income specifically is a big plus - Azure Cloud Job Description: Our Role: We are looking for an astute, determined professional like you to fulfil a BI Engineering role within our Technology Solutions Group. You will showcase your success in a fast-paced environment through collaboration, ownership, and innovation. Your expertise in emerging trends and practices will evoke stimulating discussions around optimization and change to help keep our competitive edge. This rewarding opportunity will enable you to make a big impact in our organization, so if this sounds exciting, then might be the place. Your Impact: Build and maintain new and existing applications in preparation for a large-scale architectural migration within an Agile function. Align with the Product Owner and Scrum Master in assessing business needs and transforming them into scalable applications. Build and maintain code to manage data received from heterogenous data formats including web-based sources, internal/external databases, flat files, heterogenous data formats (binary, ASCII). Help build new enterprise Datawarehouse and maintain the existing one. Design and support effective storage and retrieval of very large internal and external data set and be forward think about the convergence strategy with our AWS cloud migration Assess the impact of scaling up and scaling out and ensure sustained data management and data delivery performance. Build interfaces for supporting evolving and new applications and accommodating new data sources and types of data. Your Required Skills: 5+ years of hand-on experience in BI Platform administration such as Power BI and Tableau 3+ years of hand-on experience in Power BI/Tableau report development Experience with both server and desktop-based data visualization tools Expertise with multiple database platforms including relational databases (ie. SQL Server) as well as cloud-based data warehouses such as Azure Fluent with SQL for data analysis Working experience in a Windows based environment Knowledge of data warehousing, ETL procedures, and BI technologies Excellent analytical and problem-solving skills with the ability to think quickly and offer alternatives both independently and within teams. Exposure working in an Agile environment with Scrum Master/Product owner and ability to deliver Ability to communicate the status and challenges with the team Demonstrating the ability to learn new skills and work as a team Strong interpersonal skills A reasonable, good faith estimate of the minimum and maximum Pay rate for this position is $70/hr. to $80/hr.

About the Role We are a stealth U.S. startup building a high-impact software platform that will redefine operations within our target industry. We are searching for a Founding Engineer who has previously built and shipped full software products, someone who can take ownership, work closely with the CEO, and help craft the product from the ground up. You will be building a platform that must be secure, fast, reliable, and scalable. Your work will shape the foundation of the company. Responsibilities Build the MVP quickly while maintaining clean, modern architecture Write production-level frontend, backend, and database code Implement platform security, authentication, and data protection Collaborate closely with the CEO on product decisions and sprint priorities Build internal tools, dashboards, and new features at startup speed Help shape engineering culture from day one Requirements Experience building software from end-to-end (solo or as a lead) Strong knowledge of React/Next.js, Typescript, Node.js, PostgreSQL or similar Ability to architect secure systems with best practices Entrepreneurial mindset, comfortable iterating quickly Open to equity-only compensation during initial phase Compensation Competitive founding-team equity Equity-only in the early phase Remote Path to salary after funding If this role resonates with you and you have built full products before, please apply. I review every application personally and would love to explore whether this could be a strong fit.

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.

***This is an architect role. Not a Data Scientist position.*** Local candidates only please. Required three days per week onsite. GenAI Engineer GenAI Engineer Responsibilities: Design and develop innovative AI/ML solutions in collaboration with Center of Excellence Develop systems architecture, technical roadmaps, and prototypes Build, test, and deploy AI models into production leveraging AWS services Continuously explore new AI techniques and methodologies to drive innovation Requirements: Degree in Computer Science, Statistics, or related quantitative field 5+ years experience architecting and developing AI/ML systems, 1+ year experience with GenAI systems Expertise in Python, SQL, PyTorch, TensorFlow, and other ML libraries/frameworks Experience deploying solutions on cloud platforms like AWS. Familiarity with MLOps & AIOps principles. Strong communication, collaboration, and coaching skills Nice to have: Databricks experience You can expect: Courageous collaboration across high-performing teams Opportunity to deliver AI innovations at epic scale An environment surrounded by curious lifelong learners A culture of innovation, ownership, and hands-on creativity Industry leadership in applying AI/ML to transform HR Belonging in a company committed to equality, diversity, and inclusion Let's talk if you're ready to architect the next generation of AI!

🔎 We're Hiring: Senior Plumbing & Fire Protection Engineer / MEP Designer (On-Site - Brooklyn, NY) Precision Design, a leading MEP Engineering firm in Brooklyn, NY, is seeking a Senior Plumbing Engineer / MEP Designer with strong experience in Plumbing, Fire Protection We are looking for a highly skilled professional who can independently design systems, coordinate across multiple disciplines, and manage multiple projects in a fast-paced environment. Candidates must have at least 5 years of industry experience, including a minimum of 3 years designing in NYC, and must be fully knowledgeable of NYC Building and Energy Codes. 💼 Responsibilities Design Plumbing & Fire Protection systems from concept through full construction documents Prepare calculations for water, gas, sanitary/sewer, and storm loads Perform field surveys and assess existing building conditions Produce drawings, specifications, and all phases of design (schematic → construction administration) Coordinate with architectural, engineering, and external project teams, including contractors and city agencies Manage multiple projects simultaneously Review shop drawings and participate in project meetings 📘 Required Skills & Experience 5+ years of related experience in Plumbing and/or Fire Protection design At least 3 years of NYC-specific design experience Strong knowledge of NYC Building Codes, NYC Energy Conservation Code, and NYC filing requirements Experience with utility company filing procedures Proficiency in AutoCAD (Revit is a plus) Familiarity with NFPA-13, NFPA-13R, and hydraulic calculations Experience with DEP cross-connection and site connection submissions is strongly preferred Excellent communication, teamwork, and interpersonal skills Ability to work independently and manage multiple deadlines 📍 Work Location On-site in our Brooklyn, NY office (no remote option)

Founding AI/ML Engineer Who We Are We're a Private Equity / investment firm embarking on setting up our A.I. specific arm of the company. The goal is to build AI-powered tools to transform how we manage due diligence, investor relations, and portfolio operations across more than 50 portfolio companies. Our leadership team is deeply invested in building this capability from the ground up. We've completed our first proof-of-concept project with a contract engineer and now we're ready to bring on a Founding AI/ML Engineer to own and expand this function. This is a rare opportunity to join a greenfield initiative - you'll have full ownership over the technical direction, collaborate directly with leadership, and build tools that have both internal and portfolio-wide impact. What's The Job As the Founding AI/ML Engineer, you'll be the driving force behind the design, development, and deployment of our core AI and data products. You'll operate across the full stack - from data infrastructure and modeling to product integration - with the autonomy to shape our systems and tooling choices. What You'll Do: Lead development of internal AI systems from scratch - including RAG pipelines, intelligent document processing (e.g. automating DDQ and NDA workflows), and investor relations tools. Partner closely with the Head of Product to define requirements and co-develop solutions for both internal operations and portfolio companies. Build production-ready models that can be customized and deployed across 50+ portfolio companies, supporting a range of use cases. Work hands-on across the stack (Python, SQL, backend integrations) to ship features quickly and iterate based on feedback. Collaborate directly with leadership - including the CEO, Head of Investments, and Product team - to identify new opportunities where AI can improve efficiency and insight. Define the long-term technical roadmap, making key decisions on frameworks, infrastructure, and best practices (current preference is PyTorch, but you'll have the freedom to choose). This is not a pure research or data science role - it's an applied engineering position where you'll translate ideas into usable, production-ready systems. What Skills We're Looking For Core Profile: Strong Computer Science background (Bachelor's or Master's from a top university preferred). 3-10 years of hands-on experience in Software + ML engineering. Proven experience taking projects end-to-end - from concept to production - not just analysis or experimentation. Deep technical skills across Python, data pipelines, model development, backend architecture, and AI/ML application. Familiarity with latest AI technologies & tools; fine-tuning models, RAGs etc. Comfortable in a blank-slate environment with minimal existing infrastructure. Excited by both the technical and business impact of their work - able to propose and own new ideas that improve efficiency and outcomes. Bonus / Preferred Backgrounds: Experience at both Big Tech (technical rigor) and startups (ownership and agility). Prior exposure to building or deploying AI tools in production. Strong communication skills - able to collaborate with product and business stakeholders effectively. Entrepreneurial mindset - enjoys working independently with high autonomy and accountability. Who typically isn't a fit: Specialists limited to data science, consulting, or research-only roles. Engineers who haven't owned full product lifecycles or operated without large support teams. Compensation: $200,000 - $300,000 Base Salary + Bonus (based on experience) Full benefits package Why This Opportunity? This is a foundational hire - a chance to define the AI vision, architecture, and culture for an organization that's serious about using technology to transform an industry. You'll have the autonomy of a startup engineer, the resources of an established firm, and the opportunity to shape products that touch dozens of companies.

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.

🚀 Coders Connect is partnering with one of New York's fastest-growing AI startups to hire a Backend Engineer who thrives on building systems at scale. This company is pioneering a new product category-helping global brands understand and control how they show up in AI-driven search environments. If you're a backend builder who wants to shape the infrastructure of a real-time, data-intensive platform, this one's for you. ⚙️ The Role: As a Backend Engineer, you'll be designing the scalable APIs, data pipelines, and high-performance systems that power a cutting-edge analytics platform at the intersection of AI, data, and search visibility. You'll work closely with front-end, data, and product teams to create the backend layer that makes fast, intelligent insights possible. 🎯 What You'll Do: Architect and implement backend systems that support real-time, AI-driven analytics. Design and maintain APIs that handle large-scale structured and unstructured data. Optimize data processing pipelines for speed, scalability, and reliability. Collaborate with engineers, designers, and data scientists to ship features that matter. Own key technical decisions and balance speed vs long-term maintainability. Contribute to a fast-moving, product-first engineering culture. ✅ What You Bring: Software engineering degree or related degree from a top USA University Production experience with Node.js, Python, or Go. Deep knowledge of relational or NoSQL databases (PostgreSQL, MySQL, or similar). Experience designing and optimizing data pipelines and working with distributed systems. Solid understanding of API security, authentication, and performance tuning. Familiarity with cloud infrastructure (AWS, GCP, Azure) and containerization tools like Docker or Kubernetes. Bonus: background working on analytics or data-heavy products at fast-scaling startups. ✨ Culture & Perks: Impact from Day 1: Own core infrastructure in a startup that's scaling fast. Design + Data Mindset: Work closely with frontend and product teams to deliver real-time insights beautifully and reliably. Tight-Knit Team: Join a lean, ambitious engineering squad with startup roots and a hacker culture. Onsite Energy: The team thrives on in-person collaboration, speed, and iteration. If you're excited to build the infrastructure behind the next generation of AI analytics-and want to do it with a world-class team in NYC-this could be your next big move. Apply now to learn more and explore this opportunity!

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.

· 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 *****************************

Job Title: DevOps Engineer with Application Support experience [DevOps, SRE, AWS] @ Jersey City. Experience Level - 8+ Years RTTO - 5 Days Onsite JD- Application Support engineer requirements [DevOps, SRE, AWS] @ Jersey City. Key responsibilities: · Provide operational support in a 24/7 team environment, primarily covering the Easter Standard Time [EST] shift. Candidates must demonstrate flexibility to work other time zones and shifts when needed, including weekends or non-standard hours, to ensure continuous team coverage. While we value empathy for work-life balance, adaptability and responsiveness during peak demand and critical incidents are essential. · Incident management, change management and release management for production and lower environments. · Collaborate closely with cross-functional teams and clients across US and international time zones. · Perform hands-on troubleshooting , monitoring and technology support for payments platform. · Write scripts, queries and automation - Unix, database (RDS, Postgres, Oracle), Terraform, AWS. · Support centralized, co-located team operations in Jersey City. · Assist in onboarding new technologies and integrating anomaly detection platforms. · Participate in regular, in-person interviews, team reviews, and probation evaluation exercise. Must have criteria: · Experience: Minimum 7-8 years in the technology domain, ideally in financial services or payment systems. · DevOps & SRE: Strong hands-on ability, deep understanding of release, incident and Change management. Technical skills: o Advanced AWS experience (Certification is a plus), hands-on with RDS, Postgre, Oracle. o Proficient in Terraform and HashiCorp toolsets. o Strong Unix/Database scripting ability. · Operational Flexibility: Willing and able to support round-the-clock operations, including weekends and overnight shifts as needed. · Communication & Attitude: Outstanding verbal and written communication, resilient and pro-active under pressure, positive team player. · Location: Willingness to work onsite five days a week in Jersey City. Nice to have skills: · Experience with Anomaly detection, AI integrations, or Machine learning. · Knowledge of blockchain platforms or related technologies. · Exposure to financial compliance norms and multi region client engagements. · Prior work in payments or relevant fintech environments.

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

About the Team The DevOps team is responsible for supporting the development teams and interfacing with the infrastructure teams. As a DevOps engineer, you'll have the exciting opportunity to work in a fast-paced, entrepreneurial environment. What You'll Do Drive the design, engineering, integration, and enhancements of DevOps enablement tools and applications by utilizing Site Reliability and DevOps principles suited for an on-prem environment Follow software development processes and practices (Functional Specification and Testing, Design Specifications, Code Reviews, Unit Testing, Monitoring) Document and maintain processes and procedures Implement and support established Continuous Integration / Continuous Delivery (CI/CD) practices Mentor and train the Technology team on tools that increase the use of automation and improve stability, advocating solutions Evaluate new technologies and explore their applicability to address new requirements in our environment Skills and Experience Bachelor's Degree in computer science, software engineering or related field 3+ years of total IT experience 3+ years of development experience in either Python, C#, Java Experience building, deploying and maintaining container images (e.g., Docker, Kubernetes) Experience with one or more configuration management tools (e.g., Ansible, Terraform, Git, Bash) Familiarity with DevOps practices and Site Reliability Engineering processes and tools (e.g., InfluxDB, Grafana, PagerDuty, REST, Prometheus) Experience with system administration, such as provisioning and managing servers, deploying database, security monitoring, system patching and managing internal and experience network connectivity What does it take to be successful in this role? Excellent problem-solving skills, soft skills, quality, and delivery mindset Strong communicator and collaborator Ability to thrive in a fast paced, start-up environment with individuals in dispersed locations Self-starter, results driven individual with a proven track record Comfortable with navigating ambiguity and translating it to impactful results What are some skills to make you stand out? Experience with trading strategies for securities, options, crypto and trading platforms Experience with big data and distributed systems (e.g., Kafka, Cassandra) Ability to demonstrate your ability to integrate different software using code (e.g., Python, shell, C#, Java)

Role: Data Engineer Type: Contract-to-Hire or Full-Time Domain: Finance preferred, not mandatory Key Skills & Requirements: Must-have: Strong Python and Informatica experience AI/ML Exposure: Familiarity with building and fine-tuning models; not a heavy AI/ML developer role ETL & Data Engineering: Hands-on experience with ETL pipelines, data modeling, and “data plumbing” Nice-to-have: Snowflake ecosystem experience, HR systems exposure Ability to collaborate with business teams handling Data Science Candidate Profile: Hands-on Data Engineer comfortable building data pipelines and models Exposure to AI/ML concepts without being a full AI specialist Finance domain experience is a plus

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.

ONLY LOCALS TO NJ/NY - NO RELOCATION CANDIDATES Skillset: Data Engineer Must Haves: Python, PySpark, AWS - ECS, Glue, Lambda, S3 Nice to Haves: Java, Spark, React Js Interview Process: Interview Process: 2 rounds, 2nd will be on site You're ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect software engineering opportunity for you. As a Data Engineer III - Python / Spark / Data Lake at JPMorgan Chase within the Consumer and Community Bank , you will be a seasoned member of an agile team, tasked with designing and delivering reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable. Your responsibilities will include developing, testing, and maintaining essential data pipelines and architectures across diverse technical areas, supporting various business functions to achieve the firm's business objectives. Job responsibilities: • Supports review of controls to ensure sufficient protection of enterprise data. • Advises and makes custom configuration changes in one to two tools to generate a product at the business or customer request. • Updates logical or physical data models based on new use cases. • Frequently uses SQL and understands NoSQL databases and their niche in the marketplace. • Adds to team culture of diversity, opportunity, inclusion, and respect. • Develop enterprise data models, Design/ develop/ maintain large-scale data processing pipelines (and infrastructure), Lead code reviews and provide mentoring thru the process, Drive data quality, Ensure data accessibility (to analysts and data scientists), Ensure compliance with data governance requirements, and Ensure business alignment (ensure data engineering practices align with business goals). • Supports review of controls to ensure sufficient protection of enterprise data Required qualifications, capabilities, and skills • Formal training or certification on data engineering concepts and 2+ years applied experience • Experience across the data lifecycle, advanced experience with SQL (e.g., joins and aggregations), and working understanding of NoSQL databases • Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis • Extensive experience in AWS, design, implementation, and maintenance of data pipelines using Python and PySpark. • Proficient in Python and PySpark, able to write and execute complex queries to perform curation and build views required by end users (single and multi-dimensional). • Proven experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck. • Advanced proficiency in leveraging Gen AI models from Anthropic (or OpenAI, or Google) using APIs/SDKs • Advanced proficiency in cloud data lakehouse platform such as AWS data lake services, Databricks or Hadoop, relational data store such as Postgres, Oracle or similar, and at least one NOSQL data store such as Cassandra, Dynamo, MongoDB or similar • Advanced proficiency in Cloud Data Warehouse Snowflake, AWS Redshift • Advanced proficiency in at least one scheduling/orchestration tool such as Airflow, AWS Step Functions or similar • Proficiency in Unix scripting, data structures, data serialization formats such as JSON, AVRO, Protobuf, or similar, big-data storage formats such as Parquet, Iceberg, or similar, data processing methodologies such as batch, micro-batching, or stream, one or more data modelling techniques such as Dimensional, Data Vault, Kimball, Inmon, etc., Agile methodology, TDD or BDD and CI/CD tools. Preferred qualifications, capabilities, and skills • Knowledge of data governance and security best practices. • Experience in carrying out data analysis to support business insights. • Strong Python and Spark

Sr. Data Engineer (Snowflake, Databricks, Python, Pyspark, SQL and Banking) Iselin, NJ (Need local profiles only) In-Person interview will be required. Over all 11+ Years of Experience & Recent experience with banking domain experience required. Only W2 & Visa Independent candidates Required experience: Job Description: We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic Team. Responsibilities: Understand technical specifications Business requirements discussion with business analyst and business users Python/SQL Server/Snowflake/Databricks application development and system design Develop and maintain data models and schemas to support data integration and analysis. Implement data quality and validation checks to ensure accuracy and consistency of data. Execution of UT and SIT with business analysts to ensure of high-quality testing Support for UAT with business users Production support and maintenance of application platform Qualifications: General: Around 12+ years IT industry experience Agile methodology and SDLC processes Design and Architecture experience Experience working in global delivery model (onshore/offshore/nearshore) Strong problem-solving and analytical skills Self-starter, collaborative team player and works with minimal guidance Strong communication skills Technical Skills: Mandatory (Strong) - Python, SQL server and relational database concepts, Azure Databricks, Snowflake, Scheduler (Autosys/Control-M), ETL, CI/CD Plus: PySpark Financial systems/capital markets/credit risk/regulatory application development experience

Job Title:Data Engineer (Python, Spark, Cloud) Pay :$90000 per year DOE Term : Contract Work Authorization: US Citizens only ( may need Security clearance in future) Job Summary: We are seeking a mid-level Data Engineer with strong Python and Big Data skills to design, develop, and maintain scalable data pipelines and cloud-based solutions. This role involves hands-on coding, data integration, and collaboration with cross-functional teams to support enterprise analytics and reporting. Key Responsibilities: Build and maintain ETL pipelines using Python and PySpark for batch and streaming data. Develop data ingestion frameworks for structured/unstructured sources. Implement data workflows using Airflow and integrate with Kafka for real-time processing. Deploy solutions on Azure or GCP using container platforms (Kubernetes/OpenShift). Optimize SQL queries and ensure data quality and governance. Collaborate with data architects and analysts to deliver reliable data solutions. Required Skills: Python (3.x) - scripting, API development, automation. Big Data: Spark/PySpark, Hadoop ecosystem. Streaming: Kafka. SQL: Oracle, Teradata, or SQL Server. Cloud: Azure or GCP (BigQuery, Dataflow). Containers: Kubernetes/OpenShift. CI/CD: GitHub, Jenkins. Preferred Skills: Airflow for orchestration. ETL tools (Informatica, Talend). Financial services experience. Education & Experience: Bachelor's in Computer Science or related field. 3-5 years of experience in data engineering and Python development. Keywords for Visibility: Python, PySpark, Spark, Hadoop, Kafka, Airflow, Azure, GCP, Kubernetes, CI/CD, ETL, Data Lake, Big Data, Cloud Data Engineering. Reply with your profiles to this posting and send it to ******************