Requirements engineer jobs in Jersey City, NJ

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

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

As an AI Software Engineer, you'll help architect and build the foundation of agent platform. You'll work at the intersection of LLMs, reasoning systems, and real-world enterprise automation-owning mission-critical infrastructure and shipping features that directly impact how Fortune 1000 IT teams operate. You'll collaborate closely with the founder, design partners, and real users as we bring the next wave of intelligent IT systems to life. You'll thrive in this role if you: Are fluent in Python and/or TypeScript, and care about writing clean, testable code Have built or worked on AI/agentic systems or LLM-powered products Enjoy turning ambiguous workflows into structured, automatable systems Have an entrepreneurial mindset or prior startup/founder experience Are excited to work across the stack-from backend infra to prompt engineering and UI tools Tech Stack Python + TypeScript LLM APIs (OpenAI, Anthropic, etc.) Langchain / semantic search / vector DBs Agentic orchestration systems AI coding assistants (Cursor, Copilot, etc.)

Skills : Scala; GCP; ETL - Big Data / Data Warehousing, Quantexa Certified Responsibilities Having a good hands-on knowledge of development and configurations of Quantexa modules for batch and realtime entity resolutions. Quantexa certified professionals. Required Skills Skills related to Quantexa development and configurations.

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

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

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

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.

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

· 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 US: LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree - a Larsen & Toubro Group company - combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit ******************** Job Title: Azure DevOps Engineer Work Location Jersey City, NJ Job Description: 1. Extensive hands-on experience on GitHub Actions writing workflows in YAML using re-usable templates 2. Extensive hands on experience with application CI/CD pipelines both for Azure and on-prem for different frameworks 3. Hands on experience with Azure DevOps and migration programs of CI/CD pipelines preferably from Azure DevOps to GitHub Actions 4. Proficiency in integrating and consuming REST APIs to achieve automation through scripting 5. Hands on experience with atleast 1 scripting language and has done out of box automations for platforms like People Soft, SharePoint, MDM etc 6. Hands on experience with CI/CD of databases 7. Good to have experience with infrastructure-as-code including ARM templates Terraform Azure CLI Azure PowerShell modules 8. Exposure to monitoring tools like ELK Prometheus Grafana Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

Title: Senior Data Engineer Duration: 12-15 months (possibilities of conversion) W2 Candidates only. Our client, is seeking a Senior Data Engineer to join their team in New York (preferred, Downtown WTC) or Boston. This is a long-term contract position with the potential to convert to a full-time employee (FTE) role. The role requires focusing on overseeing third-party fund accounting administration, client life cycle, valuation automation, and driving data-related initiatives. Key Responsibilities: • Lead the design, development, and optimization of data architecture, modeling, and pipelines to support fund accounting administration transitions to third parties. • Oversee and manage third-party vendors, ensuring seamless integration and efficiency in data processes. • Collaborate with business units (BUs) and stakeholders to gather requirements, refine processes, and implement data solutions. • Build and maintain robust CI/CD pipelines to ensure scalable and reliable data workflows. • Utilize Snowflake and advanced SQL to manage and query large datasets effectively. • Drive data engineering best practices, ensuring high-quality, efficient, and secure data systems. • Communicate complex technical concepts to non-technical stakeholders, ensuring alignment and clarity. Must-Have Qualifications: • Experience: 10+ years in data engineering or related roles. • Technical Expertise: o Advanced proficiency in Python and SQL for data processing and pipeline development. o Experience with additional cloud-based AWS data platforms or tools. o Strong experience in data architecture, data modeling, and CI/CD pipeline implementation. o Hands-on expertise with Snowflake for data warehousing and analytics. • Domain Knowledge: Extensive experience in asset management is mandatory. • Communication: Exceptional verbal and written communication skills, with the ability to engage effectively with business units and stakeholders. Nice-to-Have Qualifications: • Prior experience leading or overseeing third-party vendors in a data-related capacity. • Familiarity with advanced data orchestration tools or frameworks.

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.

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.

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.

We're a high-growth, category-defining startup valued at ~$20B, building the infrastructure that enables the world's most capable AI systems to operate reliably in the real world. The industry is moving fast and the teams pushing the frontier (AI labs, global enterprises, and public sector partners) need solutions that are deployed, validated, and iterated at speed. That's where our Forward Deployed Engineering team comes in. Our FDEs sit at the intersection of engineering, product, and customer outcomes. You'll work directly with some of the most advanced technical organizations on the planet, helping them integrate, configure, and scale systems that unlock high-impact capabilities. You'll build bespoke solutions when needed, develop reusable platform improvements, and feed real-world insight back into the product roadmap. If you love solving hard problems alongside sharp customers and want your work to ship fast and matter immediately then you'll thrive here. What You'll Do As a Forward Deployed Engineer, you'll embed with customers and internal teams to turn ambitious goals into production-grade solutions. Key responsibilities include: Deliver mission-critical outcomes - Build and deploy solutions that directly power next-generation AI products and workflows used by top innovators and strategic government partners. Partner deeply with technical customers - Work day-to-day with engineers, researchers, and operators to understand constraints, uncover needs, and translate them into scalable product improvements. Ship full-stack, production-quality work - Design, implement, and deploy functionality across the stack - UI, APIs, backend services, data workflows, and infrastructure. Move fast with high standards - Rapidly prototype, test, and iterate - balancing speed with quality to deliver measurable impact. Shape how we build and how we grow - Influence engineering best practices, product direction, and team culture as we scale rapidly. Operate across a wide project surface area - One week you might design a system architecture for a high-throughput pipeline; the next you might build a customer-facing interface or integrate with complex enterprise environments. Accelerate into leadership - This role is designed for people who want to take ownership early, lead critical deployments, and grow into senior technical or leadership roles as the company expands. What We're Looking For 2+ years of relevant engineering experience preferred A strong history of shipping real products not just prototypes - ideally at meaningful scale Comfort working end-to-end: problem definition → architecture → implementation → deployment Strong coding ability and the confidence to navigate unfamiliar systems quickly Excellent communication skills - able to explain complex ideas to both technical and non-technical stakeholders A builder mindset: you enjoy ambiguity, you move quickly, and you take ownership High adaptability in a fast-moving AI landscape Interest in working hybrid from San Francisco or New York Nice to Have Experience with distributed systems, large-scale pipelines, or high-throughput infrastructure Exposure to machine learning, applied AI, or model evaluation concepts Prior customer-facing engineering experience (enterprise, solutions, forward deployed, etc.) Familiarity with cloud infrastructure and production operations (AWS/GCP/Azure) Why This Role This is a rare seat at the table: you'll work directly with the organizations shaping the future of AI, while also building core product infrastructure inside a company already dominating its market. If you want responsibility, speed, customer proximity, and deeply technical work - this is one of the highest-leverage roles in modern engineering.

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

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