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Job DescriptionJoin the team at New Jersey’s largest wine and spirits distributor! At Allied Beverage Group, we’re proud of our dynamic, family-based culture and our role in keeping the beverage industry moving. If you're looking for a great company with great people—this is the place to be! Overview The Asst. Manager is a key leader position in the distribution and operations organization reporting directly to the Night Manager. Requires strong interpersonal and communication skills as well as knowledge of warehouse operations to include inventory control, shipping and receiving operations in a Direct Sales organization. Preference for warehouse automation experience and union environment is a plus but not required. Asst. Manager directs the night to night aspects of operations, ensuring the highest level of customer service from the warehouse to customers while improving productivity through continuous improvement in fill rate, throughput and cost. Responsibilities Planning:- Ability to identify and plan for staffing requirements based on knowledge of warehousing and distribution operations.- Has the ability to make decisions based on experience in shipping, receiving and inventory control.- Ensures that procedures and processes match requirements of the operation.- Capability to train and implement new technology and processes while maintaining productivity.Building an Inclusive Culture:- Individual and collective accountability, reward and recognition programs, communication designed to develop the frontline employees and build a desirable place to work.Continuous Improvement:- Development and Implementation with the management team and frontline of correct standard operating procedures and performance-based metrics in order to drive results through continuous improvement programs such as lean six sigmaCollaboration:- Partnering with Night and Day operation manager, delivery and Maintenance functions to identify areas of opportunities for improvements to fill rate, throughput, and reduction of cost.Safety:- Direct programs to ensure the safety of all personnel, equipment and property.- Provide safety instruction to personnel as needed.- Report all work-related injuries immediately.- Provide immediate medical attention to injured employees as necessary.- Ensure compliance with appropriate government regulations. Qualifications • Bachelor’s Degree ( Logistics management, Mechanical engineer, or Business Management, • 5-7 years of supervision level experience within a distribution warehouse, • Operational supervision experience, • Distribution of product experience, • Preferred warehouse automation experience, • Functional system understanding in WMS, Microsoft Office, Excel, PowerPoint; strong communication skills, • Ability to work non-traditional business hours including evenings, nights and weekends only when requiredCompensation and Benefits The anticipated salary range for this position is $75,000 to $85,000, depending on qualifications such as experience, education, and skillset. In addition to salary, this role is eligible for a discretionary bonus and offers a comprehensive benefits package including Medical, Dental, Vision, 401K plan with company match, Life Insurance, Long Term Disability, Flexible Spending Account, Employee Assistance Program, Pet Insurance Plan and more. Why You Will Love Allied Beverage Group Industry Leader – We are New Jersey’s Largest Wine and Spirits DistributorCulture – We may be a big corporation, but we are still family owned and we like to think that influences our work environment. We promote a culture based on trust, respect and collaborationState of the Art Facility – We opened a brand-new corporate office and distribution center in Elizabeth, NJ in 2019Your Continued Growth – Our company encourages our employees to reach high, live up to their potential, and advance in their careers. We offer over 9,000 professional development courses that employees can take at any timeCompetitive Pay and Quality Benefits – Allied Beverage Group offers competitive pay commensurate with experience along with a comprehensive benefits packageAllied Perks! – Associate recognition, discounts with several vendors and more The Company is dedicated to ensuring a safe and secure environment for our team members and visitors. To assist in achieving that goal, we conduct a drug and background check for all new team members post-offer and prior to the start of employment. The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work. Allied Beverage Group participates in the E-Verify program to confirm employment eligibility of all new hires in the United States. EEO and AI Disclosure Statement Allied Beverage Group is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other legally protected characteristics. As part of our recruitment process, Allied Beverage Group uses artificial intelligence (AI) tools to support the initial review of applications. These tools are designed to assist our recruiters in identifying qualifications and experience that align with the requirements of each role. The tools do not make hiring decisions. All final decisions are made by our recruitment team and hiring managers. We are committed to fair and equitable hiring practices. If you have questions about this process or need an accommodation, please contact Human Resources. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Are you ready to shape the future of authentication? Join 1Kosmos and help lead the next wave in identity assurance and passwordless innovation. 1Kosmos is driving the future of identity security, empowering organizations to eliminate passwords and establish trust at every step of the identity lifecycle. As a vibrant team of innovators, we develop advanced authentication solutions trusted by some of the world’s leading brands. Join us as we create a passwordless world and set new standards for digital identity assurance. We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture, data extraction, and fraud detection, delivering high-performance models that can run on both mobile devices and cloud environments. This role blends R&D with production engineering—you’ll take ownership of the full ML lifecycle, from dataset creation and model training to deployment and performance optimization. Key Responsibilities • Design and implement AI models for image classification, object detection, OCR, and feature extraction., • Develop real-time image quality assessment and capture guidance algorithms., • Create and maintain data pipelines for collecting, cleaning, augmenting, and labeling datasets., • Implement model optimization techniques for mobile (on-device) and cloud inference., • Apply fraud detection methods to identify tampering, forgeries, or replay attacks in visual data., • Integrate ML models into production-grade APIs and mobile SDKs., • Monitor, evaluate, and continuously improve model accuracy and performance., • Collaborate with product and engineering teams to align AI capabilities with business goals. Requirements • Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field (or equivalent experience)., • 3+ years of experience building and deploying ML models in production., • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar)., • Experience with computer vision libraries (e.g., OpenCV) and OCR technologies., • Strong understanding of deep learning architectures for image and text recognition., • Familiarity with cloud platforms (AWS, GCP, or Azure) and API development., • Strong problem-solving skills and ability to work in fast-paced environments., • Based in the NJ / NY area; Hybrid working model.Preferred Qualifications, • Experience with model quantization and optimization for mobile deployment., • Knowledge of synthetic data generation and data augmentation techniques., • Background in security, liveness detection, or anomaly detection., • Exposure to compliance and data privacy regulations (GDPR, CCPA)., • Contributions to open-source ML projects or published research. Benefits • Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems., • Accelerated Growth: Receive annual stipends for certifications and attend key conferences like Identiverse or EIC., • Ownership & Impact: We move fast and will enable you to make a big impact with large customers in US & Canada., • Flexibility First: Unlimited PTO, and 2 days WFH

Job Description Fortegra is building a next-generation engineering capability focused on AI-accelerated development and rapid application delivery. We are seeking Full Stack Engineers who thrive in fast-moving environments and have deep experience designing, building, and deploying enterprise-grade applications. The ideal candidate is a high-agency engineer with strong expertise in React-based front-end systems, modern backend frameworks, and secure public-facing application architecture, combined with hands-on experience using AI-driven development tools and agentic coding workflows. Domain experience in Insurance or Financial Services is a big plus. If you are excited about using tools like Claude Code, GitHub CoPilot, Cursor, Lovable, Replit, and other AI-native development tools to dramatically accelerate product development, we want to talk to you. What You’ll Do: Build and Ship Production Applications: • Architect and develop enterprise-grade full stack applications., • Design and build high-quality React front-end systems., • Develop scalable backend services using modern server-side frameworks., • Deploy secure public-facing applications in production environments., • Ensure performance, reliability, and maintainability of distributed systems. AI-Accelerated Development: • Use AI coding tools such as Claude Code, CoPilot, Cursor, Replit, Lovable and similar environments to dramatically accelerate development cycles., • Implement AI-driven development workflows including agentic coding, prompt-driven engineering, and automated code generation., • Rapidly prototype and iterate on new product ideas., • Evaluate and integrate emerging AI developer tools. Rapid Prototyping and Product Development: • Quickly build and validate new front-end applications and internal tools., • Partner with business stakeholders to transform ideas into working software., • Develop prototypes that evolve into production-ready enterprise systems., • Help establish Fortegra’s modern AI-first engineering culture. Security and Production Readiness: • Design and implement secure architectures for public-facing applications., • Implement authentication, authorization, and secure API design., • Apply best practices in application security, cloud security, and compliance., • Ensure secure handling of sensitive financial and customer data. The above-cited duties and responsibilities describe the general nature and level of work performed by people assigned to the job. They are not intended to be an exhaustive list of all the duties and responsibilities that an incumbent may be expected or asked to perform. Required Qualifications: • 7+ years of professional software engineering experience., • Significant experience designing and deploying enterprise-grade applications., • Expert-level proficiency with React and modern front-end frameworks., • Strong experience with at least one server-side framework such as:, • Node.js / NestJS / Express, • Python (FastAPI, Django), • .NET Core, • Experience building and deploying secure public-facing applications, • Strong knowledge of API design, distributed systems, and cloud architectures., • Hands-on experience using AI coding tools such as:, • Claude Code, • Cursor, • GitHub Copilot, • Replit, • Experience with AI-assisted or agentic development workflows., • Strong ability to prototype quickly and iterate rapidly. Preferred Qualifications: • Insurance or Financial Services domain experience., • Experience building AI-enabled products or developer tooling., • Familiarity with LLMs, AI agents, and prompt engineering., • Experience with serverless and cloud-native architectures., • Experience deploying applications in AWS, Azure, or GCP., • Experience building internal platforms or developer tooling., • Startup or high-velocity product development experience. What Makes This Role Unique: • Work in an AI-first engineering environment., • Use modern AI developer tools to dramatically accelerate development., • Build production applications from prototype to deployment., • Help shape Fortegra’s next generation product platform., • Join a high-impact engineering team focused on rapid innovation. Salary Range $110,000 – $190,000 base salary, commensurate with experience. Fortegra is not accepting unsolicited resumes from search firms for this position. Applicants must be authorized to work for any employer in the United States. We are unable to sponsor or assume sponsorship of employment visas at this time. We welcome applicants of all backgrounds and national origins. Recruitment Updates Fortegra has recently been made aware of unauthorized communications regarding career opportunities by individuals not associated with Fortegra or our recruitment team. Fortegra will only contact you from the Fortegra domain address (@fortegra.com). If you receive a message from someone posing as a Fortegra recruiter via text message, WhatsApp, Telegram or other messaging platform, please report it as phishing and block the sender. Internal Notice: As part of our commitment to talent development, this position is open for internal promotion applications at the time of public posting. #LI-Onsite

Job Description WHO WE ARE Parse Biosciences, a QIAGEN company, is a global life sciences company whose mission is to accelerate progress in human health and scientific research. Empowering researchers to perform single cell sequencing with unprecedented scale and ease, its pioneering approach has enabled groundbreaking discoveries in cancer treatment, tissue repair, stem cell therapy, kidney and liver disease, brain development, and the immune system. Founded based on a transformative technology invented at the University of Washington, Seattle-based Parse has raised over $100 million and is used by over 3,000 labs across the world. Our growing portfolio of products includes Evercode Whole Transcriptome, Evercode TCR, BCR, Gene Capture, and Trailmaker, a software tool for data analysis. THE PRODUCT We've built the most popular, freely available cloud-based platform for single cell RNA sequencing data analysis - Trailmaker. Trailmaker allows anyone to easily turn their single cell datasets into meaningful biology. With >1200 monthly active users from top tier research institutions across the world, we're offering a rare opportunity to join our team and change the world by building tools that help to improve human health. The user requirements for Trailmaker dictate a unique set of technical challenges. Handling big data files, running custom data processing pipelines, on-the-fly computation, and providing interactive data visualisations with millions of data points are just some of the challenges our team is busy with! THE POSITION As a Bioinformatics Engineer II within the Trailmaker development team, you will play a key role in guiding the technical direction of the platform while contributing hands-on across the full stack. You'll collaborate closely with other engineers to architect and build new features that drive user engagement. This is a highly collaborative environment with no division between backend, frontend or testing roles - each engineer contributes to any part of the codebase and is responsible for the entire development process from work planning, through implementation and writing tests to completing the feature. YOU CAN EXPECT • An agile, diverse and multidisciplinary team., • A supportive, inclusive and transparent working environment where teammates learn from and help each other all the time., • A place to look at things differently, challenge and offer solutions., • A small team environment where you will have the opportunity to make a significant impact by actively driving change in technology, processes and culture., • A fast-paced environment of continuous improvement, optimised for impact. IN THIS POSITION, YOU WILL This position is for full time, 100% remote work. We would expect you to: • Always put the user first., • Design, prototype, develop, and test new computational pipelines and visualizations for single cell data analysis in Trailmaker., • Continuously iterate and improve existing single cell pipelines and features., • Receive and incorporate feedback from customers and colleagues., • Perform troubleshooting of customer analyses., • Keep up-to-date on the rapidly evolving field of single cell genomics and relay observations of new methods, benchmarking studies, etc. to the team., • Experiment, test, try, fail and learn continuously., • Think like an owner, and take pride in your work., • Help and mentor teammates. FOR THIS POSITION, WE LOOK FOR • Someone excited about building tools that will be used by thousands of single cell researchers., • A track record of designing, building and improving data analysis software that solves user problems., • A degree in bioinformatics (or similar) and 3+ total years of experience working in bioinformatics engineer roles. Additional experience (5+ years) is necessary to be appointed at Bioinformatics Engineer II level., • Fluent in Python and R., • Practical experience of working with open source single cell data analysis tools and packages, including Scanpy and Seurat., • Competency working with container-based cloud applications, ideally on AWS., • Strong data visualization skills., • Significant experience in conducting code reviews and providing feedback to others., • Experience and desire to work as part of a close-knit team., • Experience using version control systems such as Git/GitHub is preferred., • Proficiency building pipelines with Nextflow or similar frameworks is preferred., • Experience of integrating AI tools into development workflows is preferred., • Knowledge of and/or interest in web development is preferred., • Experience working with Bash is preferred. JOB CONDITIONS • This position is home office based and will require a reliable internet connection and suitable workspace to fulfill job duties effectively. Laptop and any other essential technical/home office equipment will be provided., • Regular communication and collaboration with team members will occur virtually through Zoom meetings, Slack instant messaging/huddles, and email. Parse Biosciences is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other status protected by federal, state, or local law. As part of our commitment to fairness and inclusion, we do not use artificial intelligence or automated systems to screen job applications. Every application is reviewed by a member of our hiring team to ensure that hiring decisions are made thoughtfully and equitably. To meet the health and wellness needs of our team, Parse offers a comprehensive benefits package for all full time employees, including: • Medical, dental, vision, and Rx (prescription) coverage beginning on the 1st day of the month following your start date. Parse covers 90% of the monthly premiums for employees, and 60% for dependents., • A 401(k) program with no waiting period to participate, • Basic life insurance and short and long-term disability coverage. Monthly premiums for both are covered at 100% by Parse., • Flexible spending account (FSA) options for medical, dependent care, and commuter expenses, • A transportation program (Seattle only), • 12 paid holidays annually and a winter holiday break, • A generous time off policyMarket Pay Range - Exact compensation offered will be determined based on the candidate's education, experience, skills, and geographic location, and may vary for candidates in regions with significantly different market conditions.$100,000—$135,000 USD

Job Description At Coinme, we're redefining access to financial services in a digital world. By combining the cutting-edge power of blockchain technology with everyday simplicity, we make digital currencies accessible and usable for all. As the world's largest network of cryptocurrency kiosks with over 40,000 locations nationwide, we're breaking down barriers to crypto adoption through our seamless mobile app, secure digital wallet, and DeFi integrations. Beyond our consumer offerings, we're also the infrastructure powering the crypto revolution for businesses. Through our enterprise Crypto-as-a-Service (CaaS) platform, we enable businesses to launch crypto capabilities in weeks, not months. Our modular, API-first infrastructure provides everything from KYC and payment processing to liquidity and custody solutions—all fully licensed and compliant. We're big enough to lead the charge in decentralized finance but small enough that your ideas will make waves. Every role at Coinme contributes to building a financial future where everyone has the tools to thrive. At Coinme, your growth fuels our mission. Together, we RISE. About the Role Coinme's Payments & Risk team keeps transactions safe, disputes defensible, and fraud controls sharp as we scale across consumer and platform channels. The Director of Payments & Risk owns that mission end to end: the fraud defense strategy, the AI-augmented operation that executes it, and the team that runs it. This is a player-coach role. You set the defense architecture across fraud vendors, card processors, and banking partners, working closely with internal stakeholders such as Compliance, Product and Engineering and you keep enough hands-on depth to read raw logs and question what a rule actually did. You build and govern AI-assisted workflows that carry much of the operational load, and you develop the analysts and scientists who operate them. Decisions here are made on evidence, at speed, and must survive audit, and the function you build must not depend on any single person, including you. You own the economics of risk: losses, recoveries, and the customer friction in between. What You'll Do • Own the fraud risk strategy and the end-to-end defense architecture across the payments stack: vendor risk engines, internal controls, processor-level gates, and partner-bank requirements, with a current map of which system makes which decision., • Run the detection portfolio as a measured system: rules, thresholds, models, and velocity limits tuned against quantified false-positive versus fraud-capture tradeoffs, with disciplined change control and post-change monitoring., • Own the chargeback and dispute program economics: representing strategy, pre-dispute deflection signals (Ethoca, Verifi RDR, Compelling Evidence 3.0), win-rate and net-recovery reporting, and card-network monitoring standing., • Lead fraud investigations and incident response with evidence-first discipline: reconstruct the decision trail across vendor logs, application telemetry, and processor responses before assigning a disposition; distinguish system defects from legitimate controls; defend legitimate declines against pressure to override; and turn incidents into durable fixes., • Design and govern AI-native risk operations: agentic workflows for queue triage, decline forensics, fraud-ring detection, chargeback evidence assembly, and scheduled monitoring, with governance to match (QA gates before anything ships externally, human-in-the-loop checkpoints on account-level actions, auditable reasoning trails, and explicit boundaries on what automation may decide)., • Build and develop the team: hire, coach, and grow risk analysts and scientists, and train them to operate and extend the AI-assisted workflows, with documentation and runbooks treated as first-class deliverables., • Drive root-cause fixes across the entire payment flow and customer journey: when a risk gap lives in another team's system (compliance workflows, account lifecycle, internal tooling), own the influence campaign to fix it there instead of compensating downstream, and partner closely with compliance on the fraud/AML seam., • Manage the vendor and partner ecosystem at both levels: hands-on (rules, integrations, data quality) and commercial (SLAs, escalation paths, roadmap influence), and coordinate risk posture with processors, sponsor banks, and platform partners., • With a strong bias for action, report to executives on key risk mitigating actions to reduce risk exposure and loss, performance and risk metrics , with the ability to go beyond headline fraud rates: loss by channel, decline precision and false-positive cost, dispute win rates, automation coverage, and time-to-disposition, connecting risk decisions to profitability.What Success Looks Like (first 6 to 12 months), • You own the full fraud defense architecture with no or minimal regression in loss rate, chargeback ratio, or card-network monitoring standing through the transition., • Clearly demonstrating strong decision making capability, especially in a crisis event, where time and rapid response is critical., • The AI-assisted risk operation runs as a team-owned product: documented, version-controlled, monitored, and extended by the team, with no single-person dependencies., • The team is hired, ramped, and closing investigations independently within SLA, each with defensible written rationale., • Strong focus on fixing any identified process gaps.Vendor and processor relationships run on standing commercial reviews: SLAs, escalation paths, and roadmap input., • Executive reporting is standing and quantified, and it connects risk decisions to profitability.What You Bring (Must-Have), • Experience: 8+ years in payments risk, fraud, or dispute operations within financial services or cryptocurrency, including 3+ years leading a risk, fraud, or trust and safety function, ideally at a crypto exchange or on/off-ramp., • Payments and fraud depth: Card-rail mechanics (authorization and decline flows), chargeback and representment economics, Visa and Mastercard dispute rules and card-network monitoring programs, working knowledge of ACH and real-time rails, and fluency in crypto-side risk (wallet behavior, on-chain flows, cash-out typologies)., • Platform fluency: Extensive hands-on administration of modern fraud prevention platforms (Sardine, SEON, Sift, Kount, Forter, or similar), including rule authoring, shadow-versus-live testing, and the instinct to reverse-engineer what a rule actually does rather than trust its label., • Data fluency: Strong SQL and comfort in log and observability platforms and analytics tooling; you answer your own questions without waiting on an analyst., • AI-native leadership: You have built or governed AI-assisted operational workflows and can speak concretely about what you automated, what guardrails you set, and what you deliberately kept human. Aptitude is assessed in a working session., • Institution building: You document, cross-train, and design systems that outlive your tenure; the functions you leave keep running without you., • Influence: You change processes you don't own, fixing root causes in other teams' systems rather than building permanent workarounds., • People leadership: You have hired, developed, and retained analysts, and you can lead a team through AI-driven change in how the work itself gets done., • Judgment: Evidence discipline over convenient narratives, conservative and defensible metrics over optimistic ones, protection of good customers weighed as seriously as fraud losses, and clear communication to both technical and executive audiences.Nice to Have, • Direct experience with the Sardine platform and/or card processor integrations (TabaPay or similar)., • Threat-informed defense frameworks (MITRE ATT&CK, AADAPT, F3) applied to fraud., • Blockchain analytics tooling (TRM Labs, Chainalysis, Elliptic) and wallet-clustering investigations., • BSA/AML and SAR familiarity, including SAR-aware evidence handling and partnering with compliance on account lock and reactivation policy., • Experience building with LLM agent frameworks (Claude Code, agent SDKs) or workflow-automation platforms., • Modern data-stack familiarity: dbt, warehouse modeling, product analytics., • Certifications (CFE, CAMS, FRM) or an advanced degree in a relevant field.How We Work We measure before we act, count wins only when they are confirmed, and keep an audit trail for every change. We protect good customers as fiercely as we stop fraud, and we treat AI tooling as core to the job, not a novelty. If that is how you already think about risk, you'll fit right in. Check out our AI Usage Guidelines to understand how we approach AI tools during the hiring process.

Role : AWS Lead Data Engineer \n Location : Newark City, NJ (Hybrid) \n Job Summary: \n We are seeking an experienced AWS Lead Data Engineer to join our Data Engineering team. As a technical leader, you will be responsible for architecting, implementing, and managing scalable data solutions on AWS. You will provide technical guidance to a team of data engineers, collaborate with cross-functional partners, and ensure best practices in cloud data engineering. Candidate would be required to work from NJ office as part of this role. \n \n Key Responsibilities: Lead the design, development, and optimization of large-scale, reliable, and secure data pipelines and data lake architecture on AWS. Architect and implement end-to-end data solutions, including data ingestion, storage, transformation, and analytics using AWS services (Glue, Redshift, S3, Lambda, EMR, Kinesis, Athena, RDS, etc.). Mentor and guide a team of data engineers, conducting code reviews and fostering best practices in data engineering and cloud architecture. Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable and maintainable solutions. Oversee migration of data from legacy systems to AWS-based data lakes and data warehouses. Develop and enforce standards for data quality, security, and governance. Drive the adoption of DevOps, CI/CD, and infrastructure-as-code practices within the data engineering team. Ensure solutions are cost-effective, performant, and aligned with enterprise data strategy. Stay current with advancements in AWS technologies and data engineering trends and evaluate new tools and frameworks for potential adoption. Troubleshoot complex data issues and provide technical leadership in problem resolution. \n \n Required Qualifications: \n Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. \n 7+ years of experience in data engineering, with at least 3 years in technical leadership or lead engineer role. \n Extensive hands-on experience with AWS data services (Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, Athena, RDS, API Gateway, etc.). Proficient in programming languages such as Python and SQL; experience with Shell scripting and Scala is a plus. Strong experience designing, implementing, and managing data lakes, data warehouses, and data ingestion pipelines on AWS. Proven experience with ETL/ELT processes, data modeling, and big data frameworks. Demonstrated ability to lead, mentor, and coach engineers in a collaborative team environment. Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools (e.g., Cloud Formation, Terraform). Excellent problem-solving, communication, and organizational skills. \n \n Preferred Qualifications: \n AWS Solutions Architect or AWS Data Engineer certification. Experience with real-time streaming technologies. Knowledge of data governance, compliance, and security best practices. Familiarity with Lakehouse architecture and modern data platforms. \n

Lead Data Engineer \n Work mode: Hybrid model \n Location: 751 Broad Street Newark, New Jersey 07068 \n \n\n • 7 plus years of experience in data engineering, with at least 3 years in technical leadership or lead engineer role.\n, • Extensive hands-on experience with AWS data services Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, Athena, RDS, API Gateway, etc.\n, • Proficient in programming languages such as Python and SQL.\n, • Experience with Shell scripting and Scala is a plus. Strong experience designing, implementing, and managing data lakes, data warehouses, and data ingestion pipelines on AWS.\n, • Proven experience with ETL/ELT processes, data modeling, and big data frameworks. Demonstrated ability to lead, mentor, and coach engineers in a collaborative team environment.\n, • Experience with DevOps practices, CI CD pipelines, and infrastructure-as-code tools like CloudFormation, Terraform.\n, • Excellent problem-solving, communication, and organizational skills.\n\n

Job Title: QA Automation Engineer II \n Location: Jersey City, NJ(Hybrid) \n Duration: 6+ Months (Possible Extension) \n \n ("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.”) \n \n A reasonable, good faith estimate of the minimum and maximum hourly rate on W2 for this position is $55 to $65 with limited benefits. \n Job Description: \n Key Responsibilities: \n\n • Design and execute functional and automation testing for applications.\n, • Develop and execute automated test scripts using testing tools; document and summarize results.\n, • Build, update, and maintain UI automation test cases using Selenium with C# (flexibility to learn C# if not already proficient).\n, • Perform manual API testing using tools such as Postman or Insomnia.\n, • Perform API automation testing using industry-standard frameworks and tools.\n, • Participate actively in Agile ceremonies (daily stand-ups, sprint planning, retrospectives).\n, • Collaborate closely with Development and Business teams to ensure project success.\n, • Quickly adapt to new technologies and tools (e.g., Amazon Web Services).\n, • Work with SQL and NoSQL databases for backend validation and robust data testing.\n, • Create comprehensive end-to-end test plans, test specifications, and test case templates.\n, • Develop and document detailed test plans and test cases.\n, • Facilitate defect tracking, reporting, and resolution management.\n, • Review requirements (Functional Specifications, User Stories, Change Requests) to ensure full coverage.\n, • Identify and manage test data; prepare automation-ready test cases.\n, • Conduct system testing, regression testing, and support User Acceptance Testing (UAT).\n, • Apply test case design techniques (e.g., boundary value analysis, equivalence partitioning).\n, • Implement Shift Left Testing practices by participating in early requirement and design reviews, writing acceptance criteria up front, and integrating automated tests in CI/CD pipelines.\n, • Be actively involved in the deployment process, collaborating with DevOps and engineering teams to ensure smooth releases.\n, • Design and execute test strategies for AI/ML and Agentic AI applications, including:\n, • Validating AI-generated outputs for accuracy, consistency, and reliability.\n, • Testing AI agents for workflow execution, decision-making, and multi-step task completion.\n, • Evaluating AI model behavior, prompt responses, hallucinations, and edge cases.\n, • Verifying AI safety controls, guardrails, security, and compliance requirements.\n, • Creating test datasets and benchmarks for AI quality assessment.\n, • Monitoring and reporting AI model performance, accuracy, and user experience metrics.\n\n \n Key Experiences: \n\n • 10+ years of proven experience in the software development industry, participating in a team environment.\n, • 5+ years of experience in UI automation, such as Selenium WebDriver.\n, • 5+ years of proven experience in testing web services such as RESTful API.\n, • 3+ years of proven experience in performance testing using tools such as Apache JMeter.\n, • 3+ years of working in a cloud-based development and production environment such as AWS.\n, • 3+ years of proven experience with programming languages such Java/C#. Familiarity with Python is a plus. Seeking candidates with solid coding proficiency in Java or C#.\n, • Proficient with both SQL and NoSQL databases.\n, • Experienced working in Continuous Integration/Continuous Deployment (CI/CD) environments.\n, • Having AWS/Cloud technologies and AI/ML powered applications knowledge are big plus.\n, • Experience with AI/ML-powered applications, Generative AI, and Agentic AI systems is highly desirable.\n, • Understanding of AI testing concepts, including prompt validation, model output verification, hallucination detection, bias testing, guardrail validation, and AI quality evaluation.\n, • Familiarity with LLMs (Large Language Models), AI agents, retrieval-augmented generation (RAG), and AI-assisted workflows is a strong plus.\n, • Ability to develop QA strategies and test approaches for AI-driven and autonomous agent-based applications.\n\n \n Nice to Have: \n\n • Experience with application monitoring tools (e.g., New Relic, Datadog, CloudWatch).\n, • Working knowledge of Python for scripting and automation.\n, • Familiarity with AWS services for cloud-based testing and deployment.\n, • Hands-on experience with performance and load testing using JMeter\n, • Experience with testing AI/ML-powered applications, including validating model outputs, creating test datasets, evaluating model performance.\n\n

Description \n We are seeking an experienced AWS Data Engineer to join our Data Engineering team. You will be responsible for architecting, implementing, and managing scalable data solutions on AWS. Candidate would be required to work from NJ office as part of this role. \n \n Responsibilities : \n Design, development, and optimization of large-scale, reliable, and secure data pipelines and data lake architecture on AWS. \n Architect and implement end-to-end data solutions, including data ingestion, storage, transformation, and analytics using AWS services (Glue, Redshift, S3, Lambda, EMR, Kinesis, Athena, RDS, etc.). \n Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable and maintainable solutions. \n Oversee migration of data from legacy systems to AWS-based data lakes and data warehouses. \n Develop and enforce standards for data quality, security, and governance. \n Drive the adoption of DevOps, CI/CD, and infrastructure-as-code practices within the data engineering team. \n Ensure solutions are cost-effective, performant, and aligned with enterprise data strategy. \n Stay current with advancements in AWS technologies and data engineering trends and evaluate new tools and frameworks for potential adoption. \n Troubleshoot complex data issues and provide technical leadership in problem resolution. \n \n Qualifications : \n Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. \n 6+years of experience in data engineering. \n Extensive hands-on experience with AWS data services (Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, Athena, RDS, API Gateway, etc.). \n Proficient in programming languages such as Python and SQL; experience with Shell scripting and Scala is a plus. \n Strong experience designing, implementing, and managing data lakes, data warehouses, and data ingestion pipelines on AWS. \n Proven experience with ETL/ELT processes, data modeling, and big data frameworks. \n Demonstrated ability to lead, mentor, and coach engineers in a collaborative team environment. \n Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools (e.g., CloudFormation, Terraform). \n Excellent problem-solving, communication, and organizational skills. \n \n Preferred Qualifications: \n \n AWS Solutions Architect or AWS Data Engineer certification. \n Experience with real-time streaming technologies. \n Knowledge of data governance, compliance, and security best practices. \n Familiarity with Lakehouse architecture and modern data platforms. \n

Advanced in one or more programming language including Java and/or Python. React / Java Script Development.

Position: Data Engineer- AWS Location: Jersey City, New Jersey Duration: Contract Job ID: 172543 Job Overview: As a Data Engineer III specializing in Python, Spark, and Data Lake technologies within the Consumer and Community Bank, you will be a key member of an agile team. Your role will involve designing and delivering reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable. You will develop, test, and maintain essential data pipelines and architectures across diverse technical areas, supporting various business functions to achieve organizational objectives. Responsibilities: Review and ensure sufficient protection of enterprise data through controls. Make custom configuration changes in tools to meet business or customer requests. Update logical or physical data models based on new use cases. Utilize SQL frequently and understand NoSQL databases and their applications. Contribute to a team culture of diversity, opportunity, inclusion, and respect. Develop enterprise data models and maintain large-scale data processing pipelines. Lead code reviews and provide mentoring to team members. Drive data quality and ensure data accessibility for analysts and data scientists. Ensure compliance with data governance requirements and alignment with business goals. Qualifications: Formal training or certification in data engineering concepts with 2+ years of applied experience. Experience across the data lifecycle with advanced SQL skills and understanding of NoSQL databases. Proficiency in statistical data analysis and determining appropriate tools and data patterns. Extensive experience in AWS and maintaining data pipelines using Python and PySpark. Proficient in Python and PySpark for writing and executing complex queries. Proven experience in performance tuning to optimize job execution. Advanced proficiency in leveraging Gen AI models using APIs/SDKs. Expertise in cloud data lakehouse platforms such as AWS Data Lake, Databricks, or Hadoop. Proficiency in relational data stores like Postgres, Oracle, or similar, and NoSQL data stores like Cassandra, DynamoDB, or MongoDB. Advanced proficiency in Cloud Data Warehouses such as Snowflake or AWS Redshift. Experience with scheduling/orchestration tools like Airflow or AWS Step Functions. Proficiency in Unix scripting, data structures, and data serialization formats like JSON, AVRO, or Protobuf. Knowledge of big-data storage formats such as Parquet or Iceberg. Familiarity with data processing methodologies like batch, micro-batching, or streaming. Experience with data modeling techniques such as Dimensional, Data Vault, Kimball, or Inmon. Understanding of Agile methodology, TDD/BDD, and CI/CD tools. Preferred Qualifications: Knowledge of data governance and security best practices. Experience in conducting data analysis to support business insights. Strong expertise in Python and Spark. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $65 - $70 The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at legal@pinnacle1.com #LI-SS5

We are seeking highly skilled Snowflake Data Engineer with strong expertise in Databricks to join our data team. The ideal candidate will design, implement and optimize large-scale data pipeline, ensuring scalability, reliability and performance. This role involves working closely with multiple teams and business stakeholders to deliver cutting-edge data solutions • Build and maintain scalable ETL/ELT pipelines using Databricks., • Leverage PySpark/Spark and SQL to transform and process large datasets., • Integrate data from multiple sources including Azure Blob Storage, ADLS and other relational/non-relational systems., • Work Closely with multiple teams to prepare data for dashboard and BI Tools., • Collaborate with cross-functional teams to understand business requirements and deliver tailored data solutions., • Optimize Databricks workloads for cost efficiency and performance., • Monitor and troubleshoot data pipelines to ensure reliability and accuracy., • Implement and manage data security, access controls and governance standards using Unity Catalog., • Ensure compliance with organizational and regulatory data policies., • Leverage Databricks Asset Bundles for seamless deployment of Databricks jobs, notebooks and configurations across environments., • Manage version control for Databricks artifacts and collaborate with team to maintain development best practices., • Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table, Triggers, Delta Live Pipelines, Databricks Runtime etc.), • Experience in Snowflake, Snowpipe & SnowSql, • Proficiency in Azure Cloud Services., • Solid Understanding of Spark and PySpark for big data processing., • Experience in relational databases., • Knowledge on Databricks Asset Bundles and GitLab., • Familiarity with Databricks Runtimes and advanced configurations., • Knowledge of streaming frameworks like Spark Streaming., • Experience in developing real-time data solutions., • Azure Data Engineer Associate or Databricks certified Data Engineer Associate certification. (Optional)

Job Description Sourgum is transforming the $100B+ waste and recycling industry through cutting-edge technology that makes waste removal simpler, smarter, and more cost-effective. Our innovative haulsourcing platform powers high-quality waste and recycling services for businesses at significantly lower costs—saving our customers an average of 20%. Leveraging proprietary datasets, an advanced operating system, and a carefully curated network of 5,000+ trusted vendors, we help companies of all shapes and sizes streamline their operations while advancing sustainability efforts. We’re a fast-growing, venture-backed company (just closed our Series A!) on a mission to modernize an outdated industry — and we’re just getting started. Our investors include Spark Capital, Founder Collective, Suffolk Technologies, 186 Ventures, and River Park Ventures, the same funds that backed category-defining companies like Slack, Anthropic, Uber, Venmo, and Amazon Pharmacy. If you’re driven by the opportunity to build something groundbreaking, we’d love to meet you. As an experienced engineer, you will help build our core SaaS platform by working with a small but rapidly growing team to develop, maintain, and deliver this innovative platform. Guided by the roadmap, you will ensure on-time, on-budget software delivery and help grow and mentor our team. Your experience will include recent experience architecting solutions using Typescript/Node or Go microservices. Key Responsibilities The delivery of architecture, design, and implementation of cloud SaaS solutions based on business requirements Development and maintenance of the software platform. Align the results with the requirements of the appropriate stakeholders As a Senior Software Engineer, you will play a crucial role in our team, working closely with the head of engineering and product managers, business unit leaders, and stakeholders. Your responsibilities will include managing engineering, determining team resourcing, and demonstrating your leadership skills and ability to work collaboratively. As a Senior Software Engineer, you will be a key stakeholder in our product engineering. Your contribution will be instrumental in the success of our software solutions, as you will translate business requirements into technical specifications for our engineering team to design and implement. Requirements Technical Skills 9+ years of hands-on in professional software development 9+ years of experience working with relational databases (MySQL, PostgreSQL, Aurora, etc.) Strong understanding of data structures, indexing, and searching required Ability to integrate with Elasticsearch and run queries/reports 3+ years of experience building microservices 3+ years’ experience working with AWS-based services including S3, SQS, SNS, DynamoDB, Lambda, Redshift Experience with Kafka and other technologies Can apply principles of Test-Driven Development Experience with writing test cases Able to write build scripts Experience with Kubernetes and Terraform Experience with version control systems, CI/CD pipeline tools, workflow tools, Jenkins, etc. Experience integrating applications with Redis/Memcached a plus Nice to Have Skills Experience with Flutter Development of mobile and tablet devices AI/Machine Learning experience a plus Experience with Big Query and Metabase Experience developing Vertical SaaS ERP Software Personal Skills A passion for building software and streamlining process issues Demonstrate tenacity when solving challenging problems in a deadline-driven environment Experience with Scrum/Agile Methodologies Ability to lead a team, as well as a roll-up-the-sleeves mentality to work well as part of a team Able to be self-motivated and work independently as needed to solve complex problems Taking pride in work and desire to make projects succeed Benefits Company stock options as part of your compensation package, giving you the opportunity to share in our company's success and build long-term financial growth. A positive and collaborative work environment with a focus on innovation and sustainability. Flexible/Unlimited PTO Comprehensive benefits package including health insurance (medical, dental, vision, LTD, Life Insurance, etc.), retirement plans (401K). Access to hundreds of gyms, studios, and wellness apps—all through one easy membership provided by your Wellhub. Yearly Personal Development Budget Opportunities for professional development and career advancement within a growing company. Compensation Range: $170K - $210K