Requirements engineer jobs in North Hempstead, NY

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 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.

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.

🚀 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!

🔎 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)

$220k-$250k + Equity AI Start Up New York City (On Site) The Company We're working with an early-stage venture studio operating across the US and Europe. They specialize in rapidly building and launching new products across sectors like AI, robotics, wearables, and next-generation consumer applications. The environment is hands-on, fast-moving, and rooted in experimentation and iteration. The Role We're seeking a backend engineer excited to work onsite in NYC, building alongside a small, highly technical team. You'll execute quickly, leverage AI tools, and prototype constantly to bring ideas to life in days, not weeks. Ideal for someone who loves shipping MVPs at high velocity. Responsibilities Build and maintain backend systems optimized for rapid product development Leverage AI tools and LLM integrations to speed up engineering workflows Prototype fast, turn concepts into working products within days Iterate constantly, including rethinking or rewriting ideas as needed Collaborate closely with designers, founders, and engineers in NYC and beyond Automate workflows and integrate backend services with AI/LLM components Requirements Strong backend engineering fundamentals Proven ability to rapidly build and ship prototypes or MVPs Able to work independently and thrive in fast-paced, ambiguous environments Hands-on experience with AI tools or integrating LLMs Technical skills in Python (core), Swift (as needed), modern backend frameworks, AI/LLM APIs, and developer automation tools Demonstrated project-based achievements and strong growth trajectory Not ideal for candidates coming strictly from big tech or with long employment gaps Benefits As a Backend Engineer, you will receive $220k-$250k base salary plus equity. Keywords Backend Engineering, AI & LLM Integration, Python, Rapid Prototyping, MVP Development, High-Velocity Engineering, Startup Builder, NYC Engineering, Automation How to Apply Please submit your resume to be considered. Keywords Backend Engineering, Python, LLM Integration, AI Engineering, Rapid Prototyping, MVP Development, Automation, Startup Builder, High-Velocity Engineering, NYC Onsite, Data Services, Low-Latency Systems

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.

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

· 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 *****************************

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)

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

About Beauty by Imagination: Beauty by Imagination is a global haircare company dedicated to boosting self-confidence with imaginative solutions for every hair moment. We are a platform company of diverse, market-leading brands, including Wet Brush, Goody, Bio Ionic, and Ouidad - all of which are driven to be the most trusted choice for happy, healthy hair. Our talented team is passionate about delivering high-performing products for consumers and salon professionals alike. Position Overview: We are looking for a skilled Data Engineer to design, build, and maintain our enterprise Data Warehouse (DWH) and analytics ecosystem - with a growing focus on enabling AI-driven insights, automation, and enterprise-grade AI usage. In this role, you will architect scalable pipelines, improve data quality and reliability, and help lay the foundational data structures that power tools like Microsoft Copilot, Copilot for Power BI, and AI-assisted analytics across the business. You'll collaborate with business stakeholders, analysts, and IT teams to modernize our data environment, integrate complex data sources, and support advanced analytics initiatives. Your work will directly influence decision-making, enterprise reporting, and next-generation AI capabilities built on top of our Data Warehouse. Key Responsibilities Design, develop, and maintain Data Warehouse architecture, including ETL/ELT pipelines, staging layers, and data marts. Build and manage ETL workflows using SQL Server Integration Services (SSIS) and other data integration tools. Integrate and transform data from multiple systems, including ERP platforms such as NetSuite. Develop and optimize SQL scripts, stored procedures, and data transformations for performance and scalability. Support and enhance Power BI dashboards and other BI/reporting systems. Implement data quality checks, automation, and process monitoring. Collaborate with business and analytics teams to translate requirements into scalable data solutions. Contribute to data governance, standardization, and documentation practices. Support emerging AI initiatives by ensuring model-ready data quality, accessibility, and semantic alignment with Copilot and other AI tools. Required Qualifications Proven experience with Data Warehouse design and development (ETL/ELT, star schema, SCD, staging, data marts). Hands-on experience with SSIS (SQL Server Integration Services) for building and managing ETL workflows. Strong SQL skills and experience with Microsoft SQL Server. Proficiency in Power BI or other BI tools (Tableau, Looker, Qlik). Understanding of data modeling, performance optimization, and relational database design. Familiarity with Python, Airflow, or Azure Data Factory for data orchestration and automation. Excellent analytical and communication skills. Preferred Qualifications Experience with cloud data platforms (Azure, AWS, or GCP). Understanding of data security, governance, and compliance (GDPR, SOC2). Experience with API integrations and real-time data ingestion. Background in finance, supply chain, or e-commerce analytics. Experience with NetSuite ERP or other ERP systems (SAP, Oracle, Dynamics, etc.). AI Focused Preferred Skills: Experience implementing AI-driven analytics or automation inside Data Warehouses. Hands-on experience using Microsoft Copilot, Copilot for Power BI, or Copilot Studio to accelerate SQL, DAX, data modeling, documentation, or insights. Familiarity with building RAG (Retrieval-Augmented Generation) or AI-assisted query patterns using SQL Server, Synapse, or Azure SQL. Understanding of how LLMs interact with enterprise data, including grounding, semantic models, and data security considerations (Purview, RBAC). Experience using AI tools to optimize ETL/ELT workflows, generate SQL scripts, or streamline data mapping/design. Exposure to AI-driven data quality monitoring, anomaly detection, or pipeline validation tools. Experience with Microsoft Fabric, semantic models, or ML-integrated analytics environments. Soft Skills Strong analytical and problem-solving mindset. Ability to communicate complex technical concepts to business stakeholders. Detail-oriented, organized, and self-motivated. Collaborative team player with a growth mindset. Impact You will play a key role in shaping the company's modern data infrastructure - building scalable pipelines, enabling advanced analytics, and empowering the organization to safely and effectively adopt AI-powered insights across all business functions. Our Tech Stack SQL Server, SSIS, Azure Synapse Python, Airflow, Azure Data Factory Power BI, NetSuite ERP, REST APIs CI/CD (Azure DevOps, GitHub) What We Offer Location: New York, NY (Hybrid work model) Employment Type: Full-time Compensation: Competitive salary based on experience Benefits: Health insurance, 401(k), paid time off Opportunities for professional growth and participation in enterprise AI modernization initiatives

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

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

Great opportunity with a private equity firm located in Stamford, CT. The Azure Data Engineer in this role will partner closely with investment and operations teams to build scalable data pipelines and modern analytics solutions across the firm and its portfolio. The Senior Azure Data Engineer main responsibilities will be: Designing and implementing machine learning solutions as part of high-volume data ingestion and transformation pipelines Experience in designing solutions for large data warehouses and databases (Azure, Databricks and/or Snowflake) Gather requirements from business stakeholders. Experience in data architecture, data governance, data modeling, data transformation (from converting data, to data cleansing, to building data structures) data lineage, data Integration, and master data management. Technical Skills Architecting and delivering solutions using the Azure Data Analytics platform including Azure Databricks/Azure SQL Data Warehouse Utilizing Databricks (for processing and transforming massive quantities of data and exploring the data through machine learning models) Design and build solutions powered by DBT models and integrate with Databricks. Utilize Snowflake for data application development, and secure sharing and consumption of real-time and/or shared data. Expertise in data manipulation and analysis using Python. SQL for data migration and analysis. Pluses: Past work experience in financial markets is a plus (Asset Management, Multi-strategy, Private Equity, Structured Products, Fixed Income, Trading, Portfolio Management, etc.). E-Mail: DIANA@oakridgestaffing.com Please feel free to connect with me on LinkedIn: www.linkedin.com/in/dianagjuraj

We are seeking a C++ Market Data Engineer to design and optimize ultra-low-latency feed handlers that power global trading systems. This is a high-impact role where your code directly drives real-time decision making. What You'll Do: Build high-performance feed handlers in modern C++ (14/17/20) for equities, futures, and options Optimize systems for micro/nanosecond latency with lock-free algorithms and cache-friendly design Ensure reliable data delivery with failover, gap recovery, and replay mechanisms Collaborate with researchers and engineers to align data formats for trading and simulation Instrument and test systems for continuous performance improvements What We're Looking For: 3+ years of C++ development experience (low-latency, high-throughput systems) Experience with real-time market data feeds (e.g., Bloomberg B-PIPE, CME MDP, Refinitiv, OPRA, ITCH) Strong knowledge of concurrency, memory models, and compiler optimizations Python scripting skills for testing and automation Familiarity with Docker/Kubernetes and cloud networking (AWS/GCP) is a plus

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

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.