Requirements engineer jobs in New York

Job Title: Quantexa Engineer Duration: Contract We are seeking a skilled Quantexa Engineer to design, build, and maintain scalable data solutions using Quantexa's Decision Intelligence Platform. The ideal candidate will have strong experience in Scala-based data engineering, cloud-native architectures on Google Cloud Platform (GCP), and large-scale ETL and data warehousing systems. Key Responsibilities: Design, develop, and optimize Quantexa data pipelines using Scala Implement and maintain ETL processes for large-scale, high-volume datasets Build and manage data warehousing solutions supporting analytics and decision intelligence use cases Deploy and operate data platforms on Google Cloud Platform (GCP) Integrate diverse data sources (structured and semi-structured) into Quantexa models Collaborate with data scientists, architects, and business stakeholders to deliver end-to-end solutions Ensure data quality, performance, scalability, and security best practices Support production deployments, monitoring, and troubleshooting Contribute to technical documentation and knowledge sharing Required Qualifications: Proven experience as a Data Engineer or Quantexa Engineer Strong proficiency in Scala Hands-on experience with ETL frameworks and Big Data technologies Experience building data warehousing solutions Practical experience with Google Cloud Platform (GCP) (e.g., BigQuery, Dataflow, Dataproc, Cloud Storage) Strong understanding of data modeling and distributed systems Ability to work effectively in a collaborative, cross-functional environment Preferred Qualifications: Quantexa Certification (required or strongly preferred, depending on role level) Experience with Quantexa Decision Intelligence Platform Knowledge of Spark, Hadoop, or similar Big Data ecosystems Familiarity with CI/CD pipelines and cloud-native DevOps practices Experience in financial services, risk, compliance, or fraud domains

Python Engineer / Data Scientist (Forward Deployed) - LLM/AI Agent products in Legal Tech. Salary: $170,000-$190,000 + benefits Company: Late-Stage Scaleup in Legal AI Software Our client, a global rapidly expanding Legal AI software company backed by top-tier investors, is transforming how legal teams operate through intelligent automation and applied AI. They are hiring 2 x customer-facing, hands-on Python Engineer / Data Scientists to join their brand new Forward Deployed team in Manhattan New York. This role sits at the intersection of engineering, data, and client delivery, ideal for someone who thrives in technical problem-solving while working directly with enterprise customers. You should expect the role to be 50% hands on coding. As a Forward Deployed technologist, you will work with real customers on real problems, delivering bespoke, high-impact solutions. Responsibilities include: • Working closely with Technical and Legal Architects to qualify, scope, and execute bespoke client development requests. • Rapidly prototyping solutions using APIs, large language models, and supporting technologies to demonstrate feasibility and value. • Building and adapting integrations that fit into complex client environments, ensuring smooth onboarding and adoption. • Engaging directly with client technical teams to troubleshoot, debug, and optimise deployments in real time. • Translating experimental R&D concepts into production-quality code that can evolve into productised features. • Maintaining a strong feedback loop between client engagements and core engineering to ensure real-world learnings influence the product roadmap. • Balancing speed and stability, knowing when to produce a quick proof of concept and when to harden code for long-term reliability. • Collaborating with legal architects, product managers, and researchers to push the boundaries of AI-enabled legal technology. What We're Looking For • Strong hands-on Python development experience (for example FastAPI, data pipelines, automation, integrations). • Experience with AI/ML workflows, NLP, or LLM-driven solutions. • Strong communication skills and confidence working directly with both technical and non-technical customer stakeholders. • Ability to own problems end-to-end, from diagnosis to delivery. • Experience in a customer-facing engineering / forward-deployed environment. • Bonus: exposure to legal tech, enterprise SaaS, or complex integration projects. Please apply with your resume if interested. If you have any exposure to Legal Tech please email ************************ for faster review.

LOCAL CANDIDATES ONLY - 5 DAYS ONSITE We are looking for a Video Conferencing and Live Event Support Specialist who can provide hands-on, in-room technical support for enterprise meeting spaces and hybrid events, while ideally also understanding the network fundamentals that impact AV system performance. The ideal candidate is equally comfortable setting up and troubleshooting AV hardware in a live environment as they are collaborating with network teams to diagnose connectivity and quality issues. The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate's/applicant's qualifications, skills, and level of experience as well as the geographical location of the position. Applicants must be legally authorized to work in the United States. Sponsorship is not available. Our client is seeking an AV (Video Conference) Engineer: Must-Have AV / Video Conferencing Skills: Hands-on, in-room support for Zoom Rooms or similar like Webex Rooms or Team Rooms. Experience setting up, testing, and troubleshooting cameras, microphones, speakers, displays, switchers, and projectors. Familiarity with Crestron or similar control systems and general AV signal flow. Experience supporting live or hybrid events (executive meetings, town halls, all-hands, webinars). Comfortable coordinating with Facilities, IT, and vendors for event logistics and issue resolution. Strong customer service and composure under pressure. Able to communicate clearly with executives and end users. Network Operations Knowledge (Nice-to-Have / Strong Plus) Understanding of network basics: IP addressing, VLANs, DHCP, DNS, and routing. Awareness of QoS, latency, jitter, and bandwidth management for real-time media. Experience with Cisco switches/routers and network monitoring tools. Experience with Jira, ServiceNow, or Splunk for incident tracking and diagnostics. Ability to work with Network Engineers to troubleshoot AV connectivity and performance issues. Preferred Certifications / Extras AVIXA CTS or CTS-I certification (or manufacturer equivalents: Crestron, Extron, Biamp, Q-SYS). Experience maintaining AV documentation, diagrams, and inventories. Familiarity with Zoom Admin, Zoom Device Manager, Poly Lens, or other AV monitoring platforms. Excellent interpersonal skills, professionalism, and responsiveness during live events. Legally eligible to work in the United States. Benefits/Other Compensation This position is a contract/temporary role where Hays offers you the opportunity to enroll in full medical benefits, dental benefits, vision benefits, 401K and Life Insurance ($20,000 benefit). Why Hays? You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there's a position you really want, you're fully prepared to get it. Nervous about an upcoming interview? Unsure how to write a new resume? Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting. Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays' guiding principles is ‘do the right thing'. We also believe that actions speak louder than words. In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us. In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text ************. Drug testing may be required; please contact a recruiter for more information.

About the Role We are seeking a skilled Cloud Application Engineer to join our on-site team in Garden City, NY. The ideal candidate has strong experience with AWS cloud infrastructure, solid SQL development skills, and exposure to .NET application environments. Responsibilities Implement, maintain and troubleshoot AWS cloud infrastructure for scalability, reliability, and performance. Build and enhance CI/CD pipelines and deployment automation. Manage SQL databases, including backups, upgrades, migrations, performance monitoring, and troubleshooting. Collaborate with developers to automate deployment of and manually deploy .NET applications in the cloud environment. Implement infrastructure as code (IaC) using CloudFormation or Terraform. Monitor and troubleshoot production systems to ensure uptime and efficiency. Contribute to architecture and design discussions focused on cloud optimization and modernization. Partner with cross-functional teams to ensure secure, efficient, and well-documented deployments. Qualifications Strong hands-on experience with AWS services (e.g., EC2, RDS, S3, Lambda, ECS, CloudWatch, Cognito, IAM). Experience implementing DevOps practices including CI/CD automation and environment provisioning. Proficiency in SQL and database development best practices. Exposure to .NET (C#, ASP.NET, or .NET Core) and comfort collaborating with application teams. Familiarity with scripting and automation using PowerShell, Python, Go, or Bash. Strong understanding of cloud networking, security, and monitoring. Ability to work on-site in Garden City, NY. Preferred Skills Experience with microservices and containerization (Docker, Kubernetes). Knowledge of infrastructure-as-code and configuration management tools. Exposure to data pipelines or analytics workloads within AWS. Familiarity with BitBucket Pipelines, GitLab CI, GitHub Actions, Jenkins or other CI/CD systems. Strong problem-solving and troubleshooting skills. Experience with JIRA and Confluence.

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. Our challenge We are seeking a highly experienced and innovative Senior AI/ML Engineer with industry expertise to lead the development of scalable machine learning systems. In this pivotal role, there will be architecture and implementation of advanced AI solutions, guide strategic AI initiatives, and collaboration with cross-functional teams to drive innovation. The technical leadership will be instrumental in shaping our AI roadmap and delivering state-of-the-art models and systems. Additional Information* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New York, NY is $135k - $145k/year & benefits (see below). The Role Responsibilities: Design, develop, and optimize scalable machine learning systems capable of handling large-scale data and complex models. Develop advanced statistical models to solve complex business problems. Lead the deployment of ML models into production environments with robustness and efficiency. Integrate models seamlessly with REST APIs for application integration. Provide technical guidance and strategic direction for AI initiatives across teams. Stay abreast of the latest AI/ML research, especially in NLP, deep learning, and large language models. Mentor junior team members and promote best practices in AI engineering. Collaborate with data engineers, software developers, and product teams to align AI solutions with business goals. Requirements: Proven experience designing scalable ML systems and architectures. Strong expertise in advanced statistical modeling techniques. Deep experience in model development and deployment pipelines. Proficiency in integrating ML models with REST APIs. Hands-on experience with cloud ML platforms, such as AWS SageMaker or Azure AI. Preferred, but not required: In-depth experience with Natural Language Processing (NLP), deep learning, and transformer-based models. Demonstrated leadership in formulating and executing AI strategies within organizations. Knowledge of the latest AI frameworks, including Transformers and Large Language Models (LLMs). We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 21 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture.

We are seeking an experienced Machine Learning Engineer with 7+ years of hands-on expertise in developing and deploying ML models. The ideal candidate will have strong proficiency in Python, deep knowledge of ML algorithms, and experience in building scalable data pipelines. You will work on cutting-edge projects involving NLP, Deep Learning, and Large Language Models (LLMs), while collaborating with cross-functional teams to deliver impactful AI solutions. Key Responsibilities: Design, develop, and deploy Machine Learning models using Python. Build and optimize data pipelines for high-volume, high-dimensional datasets. Implement REST API integration for ML models to enable seamless consumption. Perform data preprocessing using tools like Pandas, NumPy, etc. Analyze complex datasets to extract insights and improve model performance. Collaborate with stakeholders to understand business requirements and translate them into ML solutions. Required Skills: 7+ years of hands-on experience in ML model development and deployment. Strong proficiency in Python and ML frameworks such as TensorFlow or PyTorch. Solid understanding of ML algorithms and statistical modeling. Experience in data preprocessing and feature engineering. Knowledge of REST API integration for ML models. Preferred Skills: Experience with NLP and Deep Learning techniques. Exposure to Transformers and Large Language Models (LLMs). Familiarity with Cloud ML platforms (Azure AI, AWS SageMaker). Experience with SQL/NoSQL databases. Life at Capgemini: Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work Healthcare including dental, vision, mental health, and well-being programs Financial well-being programs such as 401(k) and Employee Share Ownership Plan Paid time off and paid holidays Paid parental leave Family building benefits like adoption assistance, surrogacy, and cryopreservation Social well-being benefits like subsidized back-up child/elder care and tutoring Mentoring, coaching and learning programs Employee Resource Groups Disaster Relief Disclaimer: Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please get in touch with your recruiting contact. Click the following link for more information on your rights as an Applicant **************************************************************************

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

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

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.

We're urgently hiring a Senior Cloud & DevOps Engineer on behalf of our client, a fast-moving, innovation-driven company in New York! This is a hybrid role in NYC with a base salary between $160-185K and an outstanding benefits package. This is not a managerial role, but it demands someone highly professional, self-directed, and able to independently prioritize and execute. The ideal candidate moves with urgency, communicates clearly, and is available in emergency situations when needed. Key Responsibilities • Own and optimize CI/CD pipelines using AWS, including setup, troubleshooting, and workflow improvements. • Work confidently across AWS, with hands-on experience in maximizing Lambda performance, managing costs, and using the latest serverless capabilities. • Design, deploy, and operate serverless architectures using services such as AWS Lambda, API Gateway, and Step Functions. • Maintain strong observability using Datadog: build dashboards, alerts, and monitoring frameworks to ensure reliability and proactive issue detection. • Collaborate across teams with a startup-level sense of urgency, accountability, and autonomy. • Uphold high standards of uptime, resilience, performance, and security across all systems. Key Requirements • 5 to 10 years of DevOps experience in fast-paced environments. • Strong hands-on experience with Azure DevOps, AWS (particularly Lambda), and Datadog. • Proven ability to build and maintain serverless architectures. • A clear understanding of operational excellence and its impact on the business. • Strong communication skills, ownership mentality, and proactive work style. • U.S. Citizen or Green Card Holder. Able to provide 3 references of direct line managers from previous roles. • Able to start ASAP and near NYC.

Job Title: Senior DevOps Engineer Compensation: $145,000-165,000 Who we are: Vernovis is a Total Talent Solutions company that specializes in Technology, Cybersecurity, Finance & Accounting functions. At Vernovis, we help these professionals achieve their career goals, matching them with innovative projects and dynamic direct hire opportunities. Overview: The Senior DevOps Engineer will design, implement, and maintain secure, scalable, and reliable cloud infrastructure supporting analytics and machine learning workloads in the insurance and analytics industry. This role focuses on automation, CI/CD, and infrastructure management to ensure efficient and compliant delivery across teams. Key Responsibilities: • Design and manage cloud-native infrastructure for analytics and business applications. • Build and maintain CI/CD pipelines using tools such as GitHub Actions and ArgoCD. • Develop Infrastructure as Code (IaC) with Terraform or similar tools. • Implement monitoring, logging, and alerting systems (Prometheus, Grafana, Datadog, ELK). • Automate processes to improve DevSecOps practices and operational efficiency. • Collaborate with engineering and data teams to support technical and business goals. • Lead incident response and root cause analysis to maintain system reliability. Qualifications: • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. • Experience with Infrastructure as Code (Terraform, Pulumi, or Crossplane). • Proficiency with Kubernetes or OpenShift. • Experience with AWS, Azure, or Google Cloud Platform. • Strong programming skills in Python, Golang, or JavaScript/TypeScript. • Proficient in Linux systems, networking, and cybersecurity fundamentals. • Experience with Docker and containerized environments.

DL Software produces Godel, a financial information and trading terminal. Role Description This is a full-time, on-site role based in New York, NY, for a Data Engineer. The Data Engineer will design, build, and maintain scalable data systems and pipelines. Responsibilities include data modeling, developing and managing ETL workflows, optimizing data storage solutions, and supporting data warehousing initiatives. The role also involves collaborating with cross-functional teams to improve data accessibility and analytics capabilities. Qualifications Strong proficiency in Data Engineering and Data Modeling Mandatory: strong experience in global financial instruments including equities, fixed income, options and exotic asset classes Strong Python background Expertise in Extract, Transform, Load (ETL) processes and tools Experience in designing, managing, and optimizing Data Warehousing solutions

Data Engineer - Data Migration Project 6-Month Contract (ASAP Start) Hybrid - Manhattan, NY (3 days/week) We are seeking a Data Engineer to support a critical data migration initiative for a leading sports entertainment and gaming company headquartered in Manhattan, NY. This role will focus on transitioning existing data workflows and analytics pipelines from Amazon Redshift to Databricks, optimizing performance and ensuring seamless integration across operational reporting systems. The ideal candidate will have strong SQL and Python skills, experience working with Salesforce data, and a background in data engineering, ETL, or analytics pipeline optimization. This is a hybrid role requiring collaboration with cross-functional analytics, engineering, and operations teams to enhance data reliability and scalability. Minimum Qualifications: Advanced proficiency in SQL, Python, and SOQL Hands-on experience with Databricks, Redshift, Salesforce, and DataGrip Experience building and optimizing ETL workflows and pipelines Familiarity with Tableau for analytics and visualization Strong understanding of data migration and transformation best practices Ability to identify and resolve discrepancies between data environments Excellent analytical, troubleshooting, and communication skills Responsibilities: Modify and migrate existing workflows and pipelines from Redshift to Databricks. Rebuild data preprocessing structures that prepare Salesforce data for Tableau dashboards and ad hoc analytics. Identify and map Redshift data sources to their Databricks equivalents, accounting for any structural or data differences. Optimize and consolidate 200+ artifacts to improve efficiency and reduce redundancy. Implement Databricks-specific improvements to leverage platform capabilities and enhance workflow performance. Collaborate with analytics and engineering teams to ensure data alignment across business reporting systems. Apply a “build from scratch” mindset to design scalable, modernized workflows rather than direct lift-and-shift migrations. Identify dependencies on data sources not yet migrated and assist in prioritization efforts with the engineering team. What's in it for you? Opportunity to lead a high-impact data migration initiative at a top-tier gaming and entertainment organization. Exposure to modern data platforms and architecture, including Databricks and advanced analytics workflows. Collaborative environment with visibility across analytics, operations, and engineering functions. Ability to contribute to the foundation of scalable, efficient, and data-driven decision-making processes. EEO Statement: Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.

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

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.

Haptiq is a leader in AI-powered enterprise operations, delivering digital solutions and consulting services that drive value and transform businesses. We specialize in using advanced technology to streamline operations, improve efficiency, and unlock new revenue opportunities, particularly within the private capital markets. Our integrated ecosystem includes PaaS - Platform as a Service, the Core Platform, an AI-native enterprise operations foundation built to optimize workflows, surface insights, and accelerate value creation across portfolios; SaaS - Software as a Service, a cloud platform delivering unmatched performance, intelligence, and execution at scale; and S&C - Solutions and Consulting Suite, modular technology playbooks designed to manage, grow, and optimize company performance. With over a decade of experience supporting high-growth companies and private equity-backed platforms, Haptiq brings deep domain expertise and a proven ability to turn technology into a strategic advantage. The Opportunity As a Data Engineer within the Global Operations team, you will be responsible for managing the internal data infrastructure, building and maintaining data pipelines, and ensuring the integrity, cleanliness, and usability of data across our critical business systems. This role will play a foundational part in developing a scalable internal data capability to drive decision-making across Haptiq's operations. Responsibilities and Duties Design, build, and maintain scalable ETL/ELT pipelines to consolidate data from delivery, finance, and HR systems (e.g., Kantata, Salesforce, JIRA, HRIS platforms). Ensure consistent data hygiene, normalization, and enrichment across source systems. Develop and maintain data models and data warehouses optimized for analytics and operational reporting. Partner with business stakeholders to understand reporting needs and ensure the data structure supports actionable insights. Own the documentation of data schemas, definitions, lineage, and data quality controls. Collaborate with the Analytics, Finance, and Ops teams to build centralized reporting datasets. Monitor pipeline performance and proactively resolve data discrepancies or failures. Contribute to architectural decisions related to internal data infrastructure and tools. Requirements 3-5 years of experience as a data engineer, analytics engineer, or similar role. Strong experience with SQL, data modeling, and pipeline orchestration (e.g., Airflow, dbt). Hands-on experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift). Experience working with REST APIs and integrating with SaaS platforms like Salesforce, JIRA, or Workday. Proficiency in Python or another scripting language for data manipulation. Familiarity with modern data stack tools (e.g., Fivetran, Stitch, Segment). Strong understanding of data governance, documentation, and schema management. Excellent communication skills and ability to work cross-functionally. Benefits Flexible work arrangements (including hybrid mode) Great Paid Time Off (PTO) policy Comprehensive benefits package (Medical / Dental / Vision / Disability / Life) Healthcare and Dependent Care Flexible Spending Accounts (FSAs) 401(k) retirement plan Access to HSA-compatible plans Pre-tax commuter benefits Employee Assistance Program (EAP) Opportunities for professional growth and development. A supportive, dynamic, and inclusive work environment. Why Join Us? We value creative problem solvers who learn fast, work well in an open and diverse environment, and enjoy pushing the bar for success ever higher. We do work hard, but we also choose to have fun while doing it. The compensation range for this role is $75,000 to $80,000 USD

New York City $200k - $350k base + equity AI Start-up We're working on behalf of a New York based early stage frontier LLM start-up who have just raised at a billion dollar valuation and are actively looking to scale their engineering team across the stack. They're actively looking for engineers who have ideally had exposure to both smaller businesses as well as either growth start-ups or high-calibre big tech firms who can leverage their experience scaling systems. 2+ years commercial experience either in high-calibre tech company or early founder/founding engineer role - particularly interested in engineers who have been through either a company or team growth phase Proficient with Python, Typescript, or Rust - however if you're competent with another backend language and happy to pick up the stack this isn't a hard requirement Strong engineering fundamentals with exposure to a variety of different engineering problems Exposure to language models and GenAI preferred

As the founding entity of RAINBOW PARTNERS, Quanteam is a consulting firm specializing in the fields of Banking, Finance, and Financial Services. Guided by our core values of closeness, teamwork, diversity, and excellence, our team of 1,000 expert consultants, representing 35 different nationalities, collaborates across 10 international offices: Paris, Lyon, New York, Montreal, London, Brussels, Geneva, Lisbon, Porto and Casablanca. Job Description: Our client, a prestigious international financial institution, is seeking an experienced C# .NET Developer with a minimum of 5 years of experience in similar roles. The successful candidate will work closely with business users and develop cutting-edge solutions for equity products. Key Responsibilities: Develop, enhance, and maintain financial applications using C# .NET. Work directly with traders, analysts, and other stakeholders to understand business requirements and translate them into technical solutions. Design and implement high-performance, scalable, and robust applications. Ensure best coding practices, including unit testing and code reviews. Optimize system performance and troubleshoot issues efficiently. Collaborate with cross-functional teams to deliver high-quality software solutions. Stay updated on industry trends and new technologies relevant to equity trading. Required Skills & Experience: 5+ years of experience as a C# .NET Developer in a financial institution in trading environment. Strong knowledge of .NET Core / .NET Framework and C# development. Experience in equity products and a good understanding of financial markets. Ability to work closely with business users and understand trading workflows. Proficiency in relational databases (SQL Server, PostgreSQL, or Oracle). Experience with multithreading, asynchronous programming, and performance optimization.

Our client is seeking a Data Engineer with hands-on experience in Web Scraping technologies to help build and scale a new scraping capability within their Data Engineering team. This role will work directly with Technology, Operations, and Compliance to source, structure, and deliver alternative data from websites, APIs, files, and internal systems. This is a unique opportunity to shape a new service offering and grow into a senior engineering role as the platform evolves. Responsibilities Develop scalable Web Scraping solutions using AI-assisted tools, Python frameworks, and modern scraping libraries. Manage the full lifecycle of scraping requests, including intake, feasibility assessment, site access evaluation, extraction approach, data storage, validation, entitlement, and ongoing monitoring. Coordinate with Compliance to review Terms of Use, secure approvals, and ensure all scrapes adhere to regulatory and internal policy guidelines. Build and support AWS-based data pipelines using tools such as Cron, Glue, EventBridge, Lambda, Python ETL, and Redshift. Normalize and standardize raw, vendor, and internal datasets for consistent consumption across the firm. Implement data quality checks and monitoring to ensure the reliability, historical continuity, and operational stability of scraped datasets. Provide operational support, troubleshoot issues, respond to inquiries about scrape behavior or data anomalies, and maintain strong communication with users. Promote data engineering best practices, including automation, documentation, repeatable workflows, and scalable design patterns. Required Qualifications Bachelor's degree in Computer Science, Engineering, Mathematics, or related field. 2-5 years of experience in a similar Data Engineering or Web Scraping role. Capital markets knowledge with familiarity across asset classes and experience supporting trading systems. Strong hands-on experience with AWS services (S3, Lambda, EventBridge, Cron, Glue, Redshift). Proficiency with modern Web Scraping frameworks (Scrapy, BeautifulSoup, Selenium, Playwright). Strong Python programming skills and experience with SQL and NoSQL databases. Familiarity with market data and time series datasets (Bloomberg, Refinitiv) is a plus. Experience with DevOps/IaC tooling such as Terraform or CloudFormation is desirable.