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Job DescriptionBenefits: • Company car, • Flexible schedule, • Free uniforms, • Training & development Experienced HVAC Service Technician (Residential/Light Commercial) $35$55/hr + OT | Take-Home Van | Steady Work Gold Star Mechanical is hiring an experienced HVAC Service Tech. Were looking for someone who can diagnose and repair systems efficiently, communicate clearly with customers, and take ownership of the job. Pay & Perks • $35$55/hour (based on experience) + overtime, • Take-home van (company vehicle), • Steady, year-round workWhat Youll Do, • Diagnose and repair residential and light commercial HVAC systems, • Perform maintenance and troubleshoot: electrical, airflow, refrigerant, controls, • Communicate findings and options clearly to office, • Keep clean notes and photos in work orders, • Maintain safe, professional work practices What Were Looking For • 3+ years HVAC field experience (service-focused), • Strong diagnostic ability (not just parts-changing), • Valid drivers license + clean driving record, • Experience with mini-splits/VRF, rooftop units, boilers, controls, • Soldering/brazing experience, • Install experience a plus Location / Service Area • Based in: Nassau County, NY, • Typical service area: Long Island/Queens/Brooklyn To Apply Text or call 516-512-2411 with: name, years of experience, and what equipment youre strongest with. You can also email

Job Description HVACR Technician Tek Express – A Tech24 Company Location: Lynbrook, NY Compensation Range: $30-$45/hr Why Join Tech24? At Tech24, we invest in our technicians so you can focus on what you do best. Here’s what you can expect when you join our team: • Weekly Pay – Reliable pay, every week, • Fully Equipped for Success – Company vehicle, gas card, uniforms, and phone provided, • Work-Life Balance – Generous paid time off, paid holidays, and your birthday off, • Comprehensive Benefits – Medical, dental, vision, and short-term disability coverage (effective 1st of the month following your date of hire), • Company-Paid Protection – Long-term disability and basic life insurance at no cost to you, • Comprehensive Training Opportunities - Advance your skills through manufacturer certified programs, company training, or a blend of both, • Retirement Planning Made Easy – 401(k) with company match and immediate vesting, • Employee Assistance Program (EAP) – Free, confidential counseling and support for you and your family, including financial and legal resources About the Center The New York Service Center operates as Tek Express – A Tech24 Company, a respected name in the New York commercial foodservice industry for years. Built on a foundation of technical excellence, reliability, and strong customer relationships, Tek Express has earned its reputation by showing up, solving problems, and supporting some of the most demanding kitchens in the country. Serving restaurants, hospitality groups, healthcare facilities, corporate dining, and institutional kitchens throughout the greater New York market, our team understands the urgency and pace of this region. In a city that never slows down, Tek Express technicians take pride in minimizing downtime and keeping operations running. Position Summary As part of the Tek Express team and broader Tech24 network, the HVACR Technician plays a critical role in servicing, maintaining, and repair commercial HVAC and refrigeration systems for our customers. This position requires strong hands-on technical expertise and the ability to work independently in fast-paced environments. The HVACR Technician is responsible for advanced diagnostics, preventative maintenance, and timely repairs while ensuring safety compliance and quality workmanship. You will serve as a direct representative of Tech24 in the field, maintaining clear communication with customers, dispatch and leadership to ensure seamless service delivery. Key Responsibilities • Diagnose, troubleshoot, and repair commercial HVAC and refrigeration equipment including walk-in coolers/freezers, reach-ins, ice machines, rooftop units, split systems, and exhaust/make-up air systems, • Perform preventative maintenance to ensure optimal equipment performance and longevity, • Install, replace, and commission HVAC and refrigeration systems as needed, • Accurately document service calls, parts used, labor hours, and customer interactions in company system, • Communicate clearly with customers regarding equipment issues, repair recommendations, and preventative maintenance plans, • Maintain EPA compliance and adhere to all local, state and federal safety regulations, • Manage truck inventory to ensure proper parts and tools are stocked, • Respond to emergency service calls in a timely and professional manner, • Represent the company with professionalism while delivering high-quality customer service, • Participate in ongoing technical training and professional development opportunities Qualifications • 3+ years of experience in commercial HVAC and refrigeration service (preferred), • EPA Universal Certification required, • Strong knowledge of refrigeration systems, electrical diagnostics, airflow systems, and mechanical troubleshooting, • Experience working on commercial kitchen equipment is a plus, • Ability to read and interpret technical manuals, wiring diagrams, and blueprints, • Valid drivers license with a clean driving record required, • Strong problem-solving skills and ability to work independently, • Excellent communication and customer service skills, • Ability to lift up to 50+ lbs. and work in varying indoor / outdoor conditions, • Ability to climb ladders, work from heights, and crawl in tight quarters, • Own industry standard hand tools, • Willingness to participate in an on-call rotation as needed Compensation Transparency The advertised pay range for this position is $30-$45 per hour. Final compensation will be determined based on factors such as experience level, technical certifications, skill set, and overall qualifications. Candidates with advanced commercial HVAC and refrigeration experience, manufacture certifications, or specialized expertise may be considered at the higher end of the range. Tech24 is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other federally protected class. For more information about Tech24 and our career opportunities visit

Data Engineer G-III Apparel Group Department: Data & Analytics Reporting To: VP Data Insights Location (On-Site): New York, NY - Fashion District About G-III Apparel Group, Ltd. | ___ G-III Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships. Position Summary The Data Engineer is responsible for building and maintaining the data infrastructure that supports analytics, reporting, and operational decision-making across the organization. Reporting to the VP of Data Insights, this role develops scalable data pipelines and reliable datasets used by internal teams, business partners, and analytics platforms. The Data Engineer will work closely with data scientists, engineers, and business stakeholders to ensure high-quality, accessible data that supports the company’s broader data and analytics strategy. Key Responsibilities • Design, build and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data across enterprise systems, • Prepare, cleanse, and structure large datasets to support analytical modeling, reporting, and operational decision-making, • Implement data quality frameworks, validation rules, and monitoring systems to ensure data integrity and accuracy, • Partner with data scientists and analytics teams to support feature engineering and data preparation for quantitative analysis, • Work with engineering teams to implement automated anomaly detection and data monitoring solutions, • Serve as a subject-matter expert on internal datasets, including definitions, lineage, and quality standards, • Collaborate with product owners, business stakeholders, and systems teams to deliver reliable data products and services, • Design and maintain data models, data warehouses, and modern data architectures such as data lakes and data marts, • Contribute to the development of data governance standards, data documentation, and metadata management practices, • Support continuous improvement of the data platform through automation, testing, and performance optimization, • Ensure timely and reliable data delivery to support operational and strategic business needs Qualifications Required: • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or equivalent practical experience, • 3+ years of experience in data engineering or a similar data infrastructure role, • Strong proficiency in SQL and experience working with large relational datasets, • Programming experience in Python (including data processing libraries such as PySpark), • Experience designing and implementing ETL/ELT pipelines and data integration workflows, • Experience with modern cloud platforms such as AWS, Azure, or GCP, • Working knowledge of data warehousing concepts, including data lakes, operational data stores, and dimensional modeling, • Familiarity with modern data orchestration and transformation tools (e.g., Airflow, Databricks, Data Factory, or similar), • Understanding of data modeling, data governance, and data quality best practices, • Experience working in collaborative engineering environments using Git, CI/CD pipelines, and automated testing frameworks, • Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly to both technical and non-technical audiences, • Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment Preferred: • Experience building scalable pipelines using Spark or distributed processing frameworks, • Familiarity with Azure data services such as Azure Data Factory, Microsoft Fabric, Synapse or Databricks, • Exposure to streaming or real-time data architectures, • Experience implementing data quality frameworks and governance programs, • Familiarity with business intelligence tools such as Power BI, • Prior experience in retail, fashion, or consumer products industries, • Experience leveraging AI-assisted development tools (e.g., Copilot, GPT-based coding assistants) to improve engineering productivity, • Master’s degree in a related quantitative or technical field What We Offer • Competitive base salary and performance-based incentives, • Comprehensive medical, dental, and vision benefits, • 401(k) with company match, • Paid time off, holidays, and company-sponsored wellness benefits, • Employee discounts across G-III brands, • A collaborative, entrepreneurial work environment with career growth opportunities Compensation Salary Range: $120,000 – $135,000 base (commensurate with experience) Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.

Job Title: Senior Enterprise Applications Engineer Location: Secaucus, NJ (Hybrid) Salary: $160K – $185K + Bonus High End Fashion Apparel company seeks Senior Enterprise Applications Engineer to join their Team! Responsibilities • Serve as senior technical owner for the Salesforce Commerce Cloud conversion to Shopify Plus replatform from an enterprise integration perspective., • Design, build, and debug Shopify Plus integrations across ERP, OMS, POS, financial systems, and downstream analytics platforms., • Own production stability during cutover and post-launch, acting as Tier-3 escalation for cross-system incidents., • Share responsibility with the development and integrations team for existing enterprise integrations beyond Shopify., • Build and maintain APIs, middleware, automation, and backfills supporting enterprise workflows., • Partner closely with the Enterprise Applications Support team to ensure clean escalation paths and durable fixes., • Work closely with BI & Analytics to validate data flows, reconcile system-of-record discrepancies, and remediate upstream integration issues., • Use SQL-based analysis to ensure operational and financial data accuracy across systems., • Serve as the senior escalation point for complex integration and platform issues., • Cross-train development, integration, and support teams on Shopify Plus integrations and enterprise patterns., • Establish documentation, standards, and repeatable support models to reduce single-point-of-failure risk. Qualifications • Demonstrated, hands-on experience with Shopify Plus, including production integrations with ERP, OMS, POS, or financial systems., • Senior-level experience building and supporting enterprise integrations using APIs and event-driven architectures., • Strong SQL skills for data validation, reconciliation, and debugging across systems of record., • Strong experience with Python for integrations, automation, backfills, and data processing., • Experience acting as an escalation point for production incidents involving multiple systems., • Experience with .NET in ERP environments (e.g., BlueCherry or similar)., • Retail, ecommerce, or omnichannel business experience., • Experience working alongside external agencies during platform implementations., • Experience working with dbt and modern ELT/data transformation tools (e.g., dbt Cloud, Fivetran, Airflow or similar), including supporting and troubleshooting downstream analytics and data models.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to transform pharmacy benefits and healthcare navigation as a Senior Data Engineer (Analytics Engineer). You will build and maintain reliable data models within Snowflake with dbt, and improve data quality and observability. Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented datasets that power analytics and products. Position Responsibilities: • Build, test, and document Snowflake data models and business logic in dbt, • Apply and improve data quality, testing, observability, and lineage standards, • Collaborate with cross-functional partners to define data contracts and interfaces, • Contribute to Capital Rx's modular data platform and client-specific data configurations, • Participate in design reviews; propose scalable, maintainable patterns, • Monitor pipeline health, troubleshoot incidents, and drive root-cause fixes, • Optimize cost and performance of jobs, storage, and queries with guidance, • Write clear documentation and support knowledge sharing, • Adhere to the Capital Rx Code of Conduct, including reporting of noncompliance Preferred Qualifications: • 5+ years in data engineering, software engineering, or related field, • Strong SQL and Python; solid understanding of ETL/ELT and dimensional/data vault modeling, • Hands-on dbt experience (models, tests, documentation, deployments), • Experience with orchestration (Dagster or Airflow) and scheduling best practices, • Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred), • CI/CD for data (Git-based workflows, environments), and basic IaC familiarity, • Data observability and testing (dbt tests, Great Expectations/Soda, lineage tools), • Understanding of security, governance, and privacy for PII/PHI (HIPAA awareness), • Effective communication and collaboration with technical and non-technical stakeholders, • Bonus if you have Exposure to healthcare data (claims, eligibility, provider directories), • Performance tuning in Snowflake (warehouse sizing, clustering, caching) Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. About Capital Rx Capital Rx is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. As a Certified B Corp, Capital Rx is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare. Capital Rx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Salary Range$140,000—$160,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Location: Remote or Hybrid (NYC, Denver) Position Summary: We are seeking a highly motivated and talented Data Engineering Intern to join our team and play a critical role in shaping the future of healthcare data management. This individual will be involved in supporting building robust, scalable, and accurate data systems that empower operational and analytics teams to make informed decisions and drive positive outcomes. Position Responsibilities: • Partner closely with operational and analytics teams to translate business needs into effective data solutions, • Architect and implement ETL workflows leveragingCapitalRxplatforms and technologies such as Python,dbt,SQLAlchemy, Terraform, Airflow, Snowflake, and Redshift, • Conduct testing to ensure the flawless execution of data pipelines before production deployment, • Proactivelyidentifyand resolve data-related issues, ensuring system reliability and data integrity, • Provide ongoing maintenance and support for data infrastructure, • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: • Pursuing a Masters degree in Computer Science, Information Technology, or a related field, • Knowledge of Python (or Java), SQL, JSON, and XML, • Knowledge of data warehousing architecture techniques and familiarity with Kimballmethodology, • A strong interest in data engineering, displaying the ability to design, implement, andmaintaincomplex data pipelines, • Capacity to analyze the company's broader data landscape and architect scalable data solutions that support growth, • Excellent communication skills to collaborate effectively with both technical and non-technical stakeholders, • Experience as a Data Engineer, ideally in the healthcare or PBM sector, • Knowledge of Airflow,dbt, Snowflake, and SQL development and Python experience This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. About Capital Rx Capital Rx is a health technology company providing claim administration and technology solutions for carriers, health plans, TPAs, employer groups, and government entities. As a public benefit corporation, Capital Rx is executing its mission to materially reduce healthcare costs as a full-service PBM and through the deployment of Judi, the company's cloud-native enterprise health platform. Judi connects every aspect of the healthcare ecosysteminone efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of benefits and rebuilding trust in healthcare. Capital Rx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Salary Range$35—$40 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Job Description Summary #LI- Hybrid Novartis has an exciting opportunity for a Director, Analytics Infrastructure & Pipeline Operations. This role is responsible for building next-generation, AI-powered automated data pipelines and scalable data repositories that enable enterprise data science and analytics at scale. By leveraging advanced AI technologies, modern data engineering tools, and feature engineering platforms, this director creates self-service, analytics-ready datasets and enterprise feature stores that empower both expert data scientists and citizen data scientists to rapidly develop, deploy, and scale models. This position will be located at the East Hanover, NJ site and will not have the ability to be located re-motely. This position will require 15% travel as defined by the business (domestic and/ or international. Job Description Key Responsibilities • Design and implement intelligent, self-healing data pipelines that leverage AI/ML for automated data quality monitoring, anomaly detection, and remediation., • Build and maintain centralized feature stores that enable feature reusability across multiple models and use cases., • Create curated data repositories optimized for data science/AI workflows, including training datasets, evaluation datasets, and production serving layers., • Develop automated feature engineering pipelines that transform raw data into analytics-ready features with lineage tracking., • Partner with Enterprise IT to optimize analytics platform architecture for high-performance data science workloads., • Build automated pipelines that integrate diverse data sources including sales, CRM, patient claims, real-world evidence, and unstructured data., • Create self-service data access layers that empower data scientists and analysts to query and extract data independently., • Establish SLAs for data availability, freshness, and quality; implement monitoring and observability solutions. Essential Requirements • Advanced degree in Computer Science, Data Engineering, or related field;, • 10+ years of experience in data engineering, ML/AI engineering, or analytics infrastructure., • 5+ years leading teams building enterprise-scale data platforms and feature stores., • Expert knowledge of feature store technologies (Feast, Tecton, SageMaker Feature Store, Databricks Feature Store)., • Deep expertise in modern data platforms optimized for ML workloads (Databricks, Auto ML, Snowflake, BigQuery)., • Strong proficiency in Python, SQL, Spark/PySpark for large-scale data processing., • Experience with data orchestration tools (Airflow, Prefect, dbt) and CI/CD for data pipelines., • Proven track record of implementing AI/ML-powered automation in data engineering workflows., • Strategic thinker who can balance innovation (cutting-edge AI tools) with reliability (production stability)., • Builder mindset with ability to create scalable, self-service capabilities that reduce dependency on data engineering., • Experience in pharmaceutical, healthcare, or life sciences industry., • Knowledge of streaming technologies, MLOps tools, and data lakehouse architecture. Novartis Compensation Summary: The salary for this position is expected to range between $194,600 and $361,400 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Salary Range $194,600.00 - $361,400.00 Skills Desired Agile (Programming Methodology), Artificial Intelligence (AI), Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Strategy, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Nlp (Neuro-Linguistic Programming) And Genai, Organization Awareness, Stakeholder Engagement, Statistical Analysis, Time Series Analysis, Vision, Visualization

Job Description Summary #LI-Hybrid This role is responsible for building the tools, frameworks, and accelerators that enable the organization to scale AI, ML, and data science capabilities efficiently through automation and reusability. By transforming manual, one-off analytics into automated, production-grade solutions that can be reused across multiple use cases, this leader dramatically increases the speed and consistency of analytics delivery while reducing technical debt and enabling citizen data scientists to leverage enterprise-grade. This position will be located at the East Hanover site and will not have the ability to be located remotely. This position will require 20% travel as defined by the business (domestic and/ or international). Job Description Key Responsibilities • Design and implement workflow automation solutions for AI/ML and analytics processes (Airflow, dbt, Azure Data Factory)., • Build CI/CD pipelines for data science code, enabling automated testing, deployment, and monitoring of ML models., • Design MLOps infrastructure to streamline the model development, validation, and deployment lifecycle., • Build and maintain a library of reusable AI/ML components (feature engineering modules, model templates, prediction pipelines, visualization templates)., • Create standardized notebooks, scripts, and dashboards for common data science use cases that can be easily adapted for new projects., • Build tools and platforms that enable business users and citizen data scientists to access AI/ML capabilities without engineering support., • Implement automated testing frameworks for data science code (unit tests, integration tests, model validation tests, regression tests)., • Advanced degree in Computer Science, Data Science, Statistics, or related field; or Bachelor's degree with 8+ years relevant experience., • 8+ years of experience in analytics engineering, data engineering, or software engineering roles., • 3+ years of experience leading technical projects or small teams., • Experience with workflow orchestration tools (Airflow, Prefect, dbt) and CI/CD tools (GitHub Actions, Jenkins)., • Knowledge of MLOps principles and tools (MLflow, Kubeflow, SageMaker)., • Experience with testing frameworks and code quality tools., • Excellent documentation and communication skills. Desired Requirements: • Experience in pharmaceutical, healthcare, or regulated industries., • Background in both analytics/data science and software engineering best practices., • Creative problem-solver who can identify opportunities for automation and reusability., • Strong systems thinking with ability to design scalable, maintainable solutions., • Experience building internal tools and platforms used by diverse user groups including citizen data scientists. Novartis Compensation Summary: The salary for this position is expected to range between $145,600 and $270,400 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Salary Range $145,600.00 - $270,400.00 Skills Desired Artificial Intelligence (AI), Biostatistics, Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai, Organization Awareness, Pandas (Python), Python (Programming Language), R (Programming Language), Sql (Structured Query Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis

Job Description HVAC Technician – Job Description & Responsibilities We are seeking a reliable and skilled HVAC Technician to install, service, and maintain heating, ventilation, and air conditioning systems for residential and light commercial customers. The ideal candidate is mechanically inclined, customer-focused, and able to work independently as well as part of a team. Responsibilities • Install, troubleshoot, repair, and maintain HVAC systems including furnaces, hydronic boilers, air conditioners, heat pumps, and ductless mini-splits, • Perform preventative maintenance and system inspections, • Diagnose mechanical and electrical issues and recommend proper solutions, • Read and interpret wiring diagrams, blueprints, and technical manuals, • Test HVAC systems for proper operation, airflow, and efficiency, • Communicate clearly with customers regarding system issues, repairs, and maintenance options, • Maintain accurate service records and work orders, • Follow all safety procedures and local building codes, • Maintain tools, equipment, and company vehicle in good condition, • 5+ years HVAC experience preferred (or equivalent training/apprenticeship), • Valid driver’s license and clean driving record, • Strong electrical and mechanical troubleshooting skills, • Ability to lift up to 50 lbs and work in confined spaces, • Ductless/VRF experience, • Competitive pay based on experience, • Overtime opportunities, • Paid training and continuing education, • Company vehicle, tools, and uniforms, • Paid time off and holidays Company DescriptionWe are a growing Plumbing & HVAC company seeking skilled, dependable technicians to join our team. We offer competitive pay, steady work, and opportunities for advancement in a supportive work environment.We are a growing Plumbing & HVAC company seeking skilled, dependable technicians to join our team. We offer competitive pay, steady work, and opportunities for advancement in a supportive work environment.

Job DescriptionJob description Perform skilled mechanical maintenance duties in the inspection, troubleshooting, repair, installation and alteration of heating, ventilation, and air conditioning system and related equipment and facilities; perform preventive maintenance and routine servicing of equipment. Essential Job Functions: • Perform repairs to all related HVAC equipment in a timely and professional manner., • Completes preventive maintenance on HVAC equipment, air and water cooled., • Provides advanced troubleshooting of both air and water-cooled HVAC equipment., • Promote the company culture to all Junior Technicians and Helpers., • Maintain and troubleshoot mission critical equipment., • Provides direction to Jr Technicians and Helpers on repairs, installation and/or preventive maintenance., • Utilizes tablet to write a detailed follow up to be used to generate a proposal and/or order material for repair work., • Possess a full complement of hand tools and meters related to the HVAC trade., • Generate pull through work during a PM or Service call to prevent breakdown or enhance the system., • Attending trade training to further knowledge and skills., • Knowledge of new equipment advances in technology., • Communicate with assigned coordinator at the beginning and end of each day., • Maintains proper safety standards in accordance with Donnelly regulations., • HVAC trade school/ Union background of formalized classroom training., • Ability to work with little or no supervision., • Advanced knowledge of refrigeration and electrical theory., • Knowledge of various BMS systems to navigate through the settings., • Understanding of the sequence of operation of all systems and airflow and water flow as it pertains to the HVAC trade., • Must maintain regular attendance (reliable) and show up to work on time., • Flexible to work overtime schedule as needed., • Valid driver license., • EPA certification., • Current FDNY G60 & F60, • OSHA 30-hour & 10-hour SST Certifications Benefits: • Training, • Employer Sponsored Profit Sharing Plan, • Employee Referral Incentive Program, • Company Sponsored Events, • Pet Insurance, • Commuter Reimbursement Account, • Employee Discount Program, • Corporate Gym Memberships, • Vacation, Holiday & Sick Pay, • Weekly Payroll

Job Description HVAC Technician – Job Description & Responsibilities We are seeking a reliable and skilled HVAC Technician to install, service, and maintain heating, ventilation, and air conditioning systems for residential and light commercial customers. The ideal candidate is mechanically inclined, customer-focused, and able to work independently as well as part of a team. Responsibilities • Install, troubleshoot, repair, and maintain HVAC systems including furnaces, hydronic boilers, air conditioners, heat pumps, and ductless mini-splits, • Perform preventative maintenance and system inspections, • Diagnose mechanical and electrical issues and recommend proper solutions, • Read and interpret wiring diagrams, blueprints, and technical manuals, • Test HVAC systems for proper operation, airflow, and efficiency, • Communicate clearly with customers regarding system issues, repairs, and maintenance options, • Maintain accurate service records and work orders, • Follow all safety procedures and local building codes, • Maintain tools, equipment, and company vehicle in good condition, • 5+ years HVAC experience preferred (or equivalent training/apprenticeship), • Valid driver’s license and clean driving record, • Strong electrical and mechanical troubleshooting skills, • Ability to lift up to 50 lbs and work in confined spaces, • Ductless/VRF experience, • Competitive pay based on experience, • Overtime opportunities, • Paid training and continuing education, • Company vehicle, tools, and uniforms, • Paid time off and holidays Company DescriptionWe are a growing Plumbing & HVAC company seeking skilled, dependable technicians to join our team. We offer competitive pay, steady work, and opportunities for advancement in a supportive work environment.We are a growing Plumbing & HVAC company seeking skilled, dependable technicians to join our team. We offer competitive pay, steady work, and opportunities for advancement in a supportive work environment.

Job DescriptionHVAC & Refrigeration Technician A growing food manufacturing operation within a temperature-controlled production environment is seeking a skilled HVAC & Refrigeration Technician to support the continuous operation of our frozen food manufacturing and warehouse facility. This role is critical to maintaining precise temperature control across production and storage areas to ensure product integrity, operational efficiency, and full compliance with food safety standards. The position requires strong troubleshooting abilities, the capacity to work both independently and collaboratively, and a consistent commitment to maintaining high performance and safety standards. It is ideal for a technician who takes pride in technical craftsmanship, problem-solving, and ensuring that all HVAC and refrigeration systems operate safely, reliably, and efficiently within a fast-paced manufacturing environment. Full-Time | On-Site | Northern NJ (Yummy Acai Manufacturing Facility) Key Responsibilities: • Inspect, diagnose, and repair HVAC and industrial refrigeration systems, including walk-in freezers and refrigerated storage areas, • Maintain stable temperature and airflow to support frozen product integrity and food safety standards, • Perform scheduled preventive maintenance on HVAC, ventilation, and freezer systems, • Troubleshoot electrical, mechanical, and control system issues, • Respond to urgent system failures to minimize production downtime, • Assist in planning repairs, replacements, and system upgrades with Maintenance leadership, • Maintain accurate maintenance logs and service documentation, • Manage parts inventory and tools, • Ensure compliance with facility safety and sanitation standardsQualifications & Experience:, • 3+ years of hands-on HVAC and refrigeration service experience, • Experience working in industrial, warehouse, or food manufacturing environments preferred, • Strong electrical and mechanical troubleshooting skills, • EPA 608 Certification (required), • NJ HVAC license preferred (if applicable), • Ability to interpret schematics, service manuals, and control diagrams, • Ability to work independently and collaboratively with maintenance and production teams, • Comfortable working in freezer environments and temperature-controlled areasWork Environment / Physical Requirements:, • Ability to lift and move up to 50 lbs, • Comfortable working in:, • Walk-in freezers, • Mechanical rooms, • Warehouse production areas, • Elevated platforms/rooftops when required, • May require on-call availability to support Saturday’s operationsCompensation & Benefits:, • Competitive hourly rate: $30 – $35 per hour, based on experience and certifications, • Overtime opportunities available, • Full-time position, • Benefits package ( health, PTO, etc.), • Stable long-term opportunity within a growing manufacturing operation

Job Description HVAC Service Technician Full-Time | On-Site | Northern NJ We are currently partnered with a long-established manufacturing organization seeking a skilled HVAC Service Technician to support the maintenance and reliability of facility climate and refrigeration systems. This role is ideal for someone who takes pride in technical craftsmanship, problem solving, and ensuring equipment runs safely and efficiently. About the Role You will be responsible for the inspection, diagnosis, and repair of HVAC and refrigeration equipment throughout the facility. The position requires strong troubleshooting skills, the ability to work independently, and a commitment to maintaining high performance and safety standards. What You’ll Do • Perform service, troubleshooting, and repair on HVAC and refrigeration units and related mechanical/electrical components, • Conduct scheduled preventative maintenance and maintain accurate service documentation, • Identify and resolve system performance issues to support consistent temperature control and equipment reliability, • Assist in planning repairs, replacements, and upgrades alongside maintenance leadership, • Manage and track parts, materials, and tool usage, • Ensure work areas remain clean, safe, and compliant with facility standards What We’re Looking For • Current HVAC License (NJ preferred, or ability to obtain), • 3+ years of hands-on HVAC/refrigeration service experience, • Strong knowledge of electrical and mechanical troubleshooting practices, • Ability to interpret schematics, service manuals, and control diagrams, • Valid driver’s license and reliable transportation Work Environment / Physical Requirements • Ability to lift and move up to 50 lbs., • Comfortable working on rooftops, in mechanical rooms, and other facility environments Tools & Equipment Typically Used • Diagnostic instruments (multimeters, gauges, leak detectors), • Refrigerant recovery & charging systems, • Hand/power tools and brazing/soldering equipment, • Airflow and temperature testing instruments, • Control system interfaces

Job Description Company Description We are a growing HVAC company seeking skilled and dependable technicians and Installers for field service and installation to join our team. We offer competitive pay, steady work, and opportunities for advancement in a supportive work environment. The ideal candidate is mechanically inclined, customer-focused, and able to work independently as well as part of a team. Technician Responsibilities • Install, troubleshoot, repair, and maintain HVAC systems including furnaces, air conditioners, heat pumps, and ductless mini-splits, • Perform preventative maintenance and system inspections, • Diagnose mechanical and electrical issues and recommend proper solutions, • Read and interpret wiring diagrams, blueprints, and technical manuals, • Test HVAC systems for proper operation, airflow, and efficiency, • Communicate clearly with customers regarding system issues, repairs, and maintenance options, • Maintain accurate service records and work orders, • Follow all safety procedures and local building codes, • Maintain tools, equipment, and company vehicle in good condition, • Participate in on-call rotations as needed Qualifications • 5+ years HVAC experience preferred (or equivalent training/apprenticeship), • Valid driver’s license and clean driving record, • Strong electrical and mechanical troubleshooting skills, • Ability to lift up to 50 lbs and work in confined spaces, • Strong customer service and communication skills Preferred (but not required) • Ductless experience, • EPA Certification Compensation & Benefits • Competitive pay based on experience, • Overtime opportunities, • Company vehicle Installer Responsibilities • Install heating, ventilation, and air conditioning (HVAC) systems., • Layout and install ductwork., • Assist with the installation of new HVAC systems in residential and light commercial settings., • Collaborate with other team members to ensure efficient and timely completion of projects., • Follow safety protocols and adhere to industry standards during all HVAC installations and repairs. Qualifications • 3+ years of Installation experience or equivalent, • Strong mechanical knowledge and aptitude, • Ability to read and interpret blueprints and technical drawings, • Proficiency in using hand tools and power tools, • Excellent problem-solving skills and attention to detail, • Ability to work independently or as part of a team. Note This job description is intended to provide a general overview of the position. Duties and responsibilities may be subject to change based on organizational needs and priorities.

Job Description Essential HVAC Installer Duties & Responsibilities The primary function is the installation of new or replacement HVAC systems (furnaces, air conditioners, heat pumps, air handlers, etc.) in residential or commercial settings. * System Installation: Installing heating, cooling, and ventilation equipment according to manufacturer specifications and company requirements. * Ductwork: Fabricating and installing sheet metal and flex duct systems, vents, and air distribution components. * Piping & Wiring: Installing copper refrigerant lines (including brazing and soldering), properly connecting gas lines, and wiring both low and high voltage to the equipment. * Blueprint Reading: Interpreting blueprints, schematics, and technical diagrams to plan system layouts and complete installations correctly. * Performance Testing: Performing system start-ups and testing performance, checking refrigerant levels, airflow, and calibrating thermostats. * Compliance: Ensuring all installations comply with local, state, and federal codes, including proper safety procedures and refrigerant handling regulations. * Customer Interaction: Explaining the system operation and maintenance to the customer and ensuring a high level of satisfaction. * Logistics: Pre-measuring jobs to determine material needs, verifying, loading, and stocking company vehicles with equipment and parts. ✨ Key Skills and Qualifications Required Skills & Qualifications Technical: • Proficiency with hand and power tools, • Strong mechanical aptitude and problem-solving skills, • Physical ability to lift heavy equipment (up to 50-100 lbs), • Comfort working in confined spaces (attics, crawl spaces) and on roofs/ladders, • Valid NJ driver's license, • Must have 4 years of experience, • Excellent customer service and communication skills, • High level of attention to detail and commitment to safety, • Ability to work independently and as part of a team We value our team and are committed to supporting your long-term financial well-being. Following one year of continuous employment with our company, you will become eligible for enhanced benefits.

Job Locations US-NJ-Paramus ID 2026-1947 Category Information Technology Type Regular Full-Time The AI Engineer, Biz Ops will build the AIpowered services that form the backbone of our decisionintelligence platform. In this role, you will take AI models developed by AI Scientists and transform them into scalable, productionready applications by designing inference pipelines, APIs, and supporting data flows. You will work closely with Data Engineers to integrate model pipelines with the broader data ecosystem and collaborate with business operations and commercial teams to convert manual, step-driven workflows into AInative services. This includes building reliable batch and realtime inference systems that generate measurable impact across business operations-not limited to any specific domain. This is a highimpact role for engineers who enjoy turning research into products, hardening systems for realworld use, and building the engineering layer that enables AI to operate at scale. While not required, an interest in or exposure to MLOps practices is strongly preferred. Productionize AI/ML models into scalable services (e.g., APIs, batch inference, streaming inference) with strong standards for reliability and performance. • Collaborate with AI Scientists to convert research prototypes into productionready components (feature computation, preprocessing, post-processing, evaluation loops)., • Integrate models with data pipelines built by Data Engineers and ensure seamless endtoend flow from raw data to AIdriven output., • Build and maintain inference pipelines using Python and orchestration frameworks (e.g., Airflow), supporting deployment across cloud and onprem environments., • Implement CI/CD, containerization, and automated testing to ensure safe, repeatable, and automated model deployments., • Establish monitoring and observability for models and services (system metrics, data drift, performance regression, alerting)., • Partner with BizOps and Commercial stakeholders to transform manual workflows into AIenabled services that improve operational decisionmaking., • Optimize end-to-end model serving latency, throughput, and cost using packaging strategies, scaling policies, caching, and parallelization., • Contribute to documentation, reusable templates, and engineering best practices to accelerate AI adoption across the organization., • Education: Bachelor's degree or higher in Computer Science, Engineering, or related technical field., • Experience: 3+ years of software engineering experience, including building or deploying AI systems in production environments., • Skills:, • Strong proficiency in Python for services, pipelines, and ML tooling., • Experience deploying AI models in production across onprem or cloud environments (AWS or Azure)., • Experience with bigdata and orchestration frameworks (e.g., Spark, Airflow) for scalable pipelines., • Strong understanding of software engineering best practices including CI/CD, containerization (Docker, Kubernetes), automated testing, and version control., • Experience with model optimization techniques such as ONNX / ONNX Runtime, model quantization, or other performanceoriented inference tooling. Strongly Preferred • Interest or exposure to MLOps concepts (model registries, feature stores, experiment tracking, automated retraining, monitoring)., • Master's degree or higher in a relevant field., • Experience in regulated industries (e.g., biopharma, healthcare, and finance)., • A portfolio of launched AI/ML projects or contributions to production of AI systems., • Proficiency in SQL and familiarity with modern data warehouses such as Snowflake. Who Thrives in This Role • Engineers who enjoy transforming research into resilient, userfacing products., • Builders who balance rapid iteration with productiongrade engineering standards., • Collaborators who can partner with business teams to convert manual workflows into scalable AI services., • Pragmatic problemsolvers who can operate autonomously and drive impact in ambiguous, crossfunctional settings.

Senior Technology Development Operations Manager Cooley is seeking a Senior DevOps Manager to join the Infrastructure & Development Operations team. Position summary: The Senior Technology Development Operations (DevOps)Manageris responsible for leading the team thatdesigns, architects,deploys, tests,maintains,and documents the DevOps technology stack. This stack is responsible for facilitating a secure, CI/CD-enabled, and highly availableSaaS-baseddelivery and hosting environment for Cooley's custom applications. The Senior DevOps Manager will build and deploy green-field solutions where needed, and otherwise willprimarilywork to improve theefficiency,security,and availability/reliability of the enterprise DevOps and related infrastructure. This role will workin an integrated fashion with the development teams to build in-depth knowledge of the products and code, attending daily stand-ups as needed. In addition to being technically advanced, this position will use a high degree of emotional intelligence and the ability to work as a team towards complex and layered objectives. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: • Provide experienced leadership in developing solutions for highly scalable, highly available, hybrid cloud (IaaS, PaaS, SaaS) infrastructure patterns and platform integrations across physical colocations and hyperscalers (AWS and Azure), • Manage, build, configure, administer, operate, and maintain all components that comprise our DevOps environment, • Leverage industry standard Frameworks and Blueprints as a foundation to create best-in-class Terraform IaC module libraries, • Lead the evolution of our DevOps and DevSecOps practice maturity, • Act as a key member of the infrastructure architecture team to identify optimization opportunities throughout the infrastructure, • Define, document, and enforce configuration standards and governance through IaC, • Develop, test, deploy, and optimize DevOps IaC code deployment pipelines and practices, • Provision automation using CI/CD (DevOps Pipelines) and IaC (Terraform) tooling, • Serve as a technical escalation point, • Work with our development and data teams to integrate products into a DevOps-managed environment, • Develop and maintain scripts to automate tool/service deployments to our Hybrid Cloud environment through DevOps Pipelines and Releases, • Participate in software releases and deployments, • Contribute to the design, update, refinement, and documentation of operational processes, • Provide technical mentorship and educate team members as a subject matter expert on IaC, containerization, and CI/CD, • Brainstorm new ideas and ways to improve product delivery and efficiency, • Consult peer teams for feedback during the design, testing, and implementation stages, • Serve as direct supervisor and mentor to direct reports, • Provide day-to-day supervision of direct reports, ensure compliance with assigned work hours and monitor for compliance with all firm and department policies. Manage staffing coverage, review and process time logs/time off requests, • Support business professional development and continued educational opportunities, • In collaboration with immediate supervisor and HR, participate in hiring, performance appraisals, counseling, termination and other employee lifecycle events, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • Ability to travel, as required, • 7+ years of relevant experience in cloud infrastructure and DevOps with 2+ years of exempt/management experience in relevant roles, • Proficiency in AWS or Azure architecture, configuration, and security, • Skilled in CI/CD pipeline design using Azure DevOps, Jenkins, or GitHub Actions, • Strong Terraform expertise, including advanced workflows and tools like Terragrunt, • Experience with Docker, Kubernetes, Helm, and GitOps tools (Flux, ArgoCD), • Familiarity with microservices deployment and release automation, • Hands-on with .NET Core containers on Linux and scripting in Linux/Windows, • Knowledge of open-source and NoSQL databases (e.g., MS SQL, MongoDB, Elasticsearch), • Bachelor's Degree in Computer Science, Information Technology, Engineering, or associated discipline, • Experience working with advanced ETL data workflows including technologies such as AWS EMR, Azure Synapse, Azure Data Factory, or Apache Hive/Spark/Airflow, • Supervisory experience, • Experience with IaC deployment of AKS/EKS/GKE architecture is highly desired, • Experience with enterprise Data Lake environments using technologies such as DataBricks or Snowflake Competencies: • Expert analytical/quantitative, problem-solving, and deductive reasoning skills, with experience performing advanced troubleshooting and root cause analysis of complex technical issues, • Excellent organizational, planning, and time management skills and ability to work either independently or in a team environment to manage competing priorities and meet deadlines, • Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely, • Experience working with all levels of staff, management, stakeholders, and vendors with ability to build effective relationships through trust and diplomacy Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $180,000 - $255,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

My client, a global energy equipment manufacturing company, is looking for a Quality Assurance Technician with Manufacturing experience to inspect machined work pieces. This is a 1 year W2 Contract and will be based on site. 2nd Shift - 2pm -10pm Essential Responsibilities: Inspect machined work pieces to ensure conformance to specification Interpret and follow written inspection instructions, quality requirements and customer specifications Measure dimensions such as length, height and distance between reference points, using precision instruments such as micrometer, caliper, dial indicator, optical comparator, X-Y-Z measuring equipment, X-ray to ensure product meets specifications Locate reference point on part and measure dimensions, such as angle, arc and radii, using combination of aids, such as surface plate, angle plates, parallel bars, gauge blocks, V-blocks and precision measuring instruments Complete all necessary inspection forms and reports Inspect first run, in process and final parts Perform airflow tests, incoming and final inspections Perform, as assigned, other similar or related duties Qualifications/Requirements: High School Diploma or GED equivalent Ability to lift/push/pull at least 50 pounds, with or without reasonable accommodation Ability to work occasional weekend shifts Ability to work overtime as required Willingness to wear personal protective equipment, for example: safety glasses, gloves, ear plugs, and safety shoes This role requires use of technical data subject to U.S. Government export restrictions and this posting is only for U.S. Persons (U.S. Citizens, lawful permanent residents and protected individuals (e.g., certain refugees and asylees) Experience in manufacturing preferred

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to transform pharmacy benefits and healthcare navigation as a Data Engineer II (Analytics Engineer). You will build and maintain reliable data models within Snowflake with dbt, and improve data quality and observability. Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented datasets that power analytics and products. Position Responsibilities: • Build, test, and document Snowflake data models and business logic in dbt, • Apply and improve data quality, testing, observability, and lineage standards, • Collaborate with cross-functional partners to define data contracts and interfaces, • Contribute to Capital Rx's modular data platform and client-specific data configurations, • Participate in design reviews; propose scalable, maintainable patterns, • Monitor pipeline health, troubleshoot incidents, and drive root-cause fixes, • Optimize cost and performance of jobs, storage, and queries with guidance, • Write clear documentation and support knowledge sharing, • Adhere to the Capital Rx Code of Conduct, including reporting of noncompliance Preferred Qualifications: • 3+ years in data engineering, software engineering, or related field, • Strong SQL and Python; solid understanding of ETL/ELT and dimensional/data vault modeling, • Hands-on dbt experience (models, tests, documentation, deployments), • Experience with orchestration (Dagster or Airflow) and scheduling best practices, • Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred), • CI/CD for data (Git-based workflows, environments), and basic IaC familiarity, • Data observability and testing (dbt tests, Great Expectations/Soda, lineage tools), • Understanding of security, governance, and privacy for PII/PHI (HIPAA awareness), • Effective communication and collaboration with technical and non-technical stakeholders, • Bonus if you have Exposure to healthcare data (claims, eligibility, provider directories), • Performance tuning in Snowflake (warehouse sizing, clustering, caching) Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. About Capital Rx Capital Rx is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. As a Certified B Corp, Capital Rx is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare. Capital Rx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Salary Range$120,000—$140,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Mechanical Engineer (Data Centers) - Hybrid/Remote This Jobot Job is hosted by: Tony Barhoum Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $80,000 - $150,000 per year A bit about us: Award-Winning Engineering Consulting Firm specializing in Design/Build Mission Critical Projects, Hyperscale Data Centers, and Healthcare Facilities. For over 40 years we’ve built a team of innovative Engineers & Architects devoted to principles of design excellence and exceptional service. Our leadership remains actively involved in every project, guiding planning, design, management, and implementation. Over the years, our practice has expanded to include a diverse, multidisciplinary staff with expertise across a wide range of project types. This blend of technical depth and industry diversity enables an innovative, holistic approach to each engagement. With experience spanning Mission Critical Facilities, Data Center, Healthcare, and Research & Technology, we are constantly evolving with the latest advancements to deliver forward-thinking solutions and a strong commitment to client services. Why join us? We can offer you the opportunity to work on State-of-the-Art Projects including Hyper Scale Data Centers Competitive Base Salary Competitive Bonus 401K Matching Contribution Benefits Package Comprehensive Benefits Package (Health/Dental/Vision) Accelerated Career Growth & Professional Development Flexible Work Schedule and Paid Time Off Job Details Mechanical Engineer (Data Centers) - Hybrid/Remote We are actively seeking a Mechanical Engineer with expertise in Computational Fluid Dynamics (CFD) modeling to support Data Center systems. The ideal candidate will bring 3-5+ years of CFD analysis experience using Cadence software, along with a strong understanding of data center cooling systems, airflow analysis, and thermal optimization. This role offers the opportunity to work on both interior white space and exterior infrastructure modeling, directly contributing to improved cooling performance, energy efficiency, and overall environmental behavior of data center facilities. Requirements: Bachelor’s Degree in Mechanical Engineering or a related field. 3 - 5+ years of Mechanical Systems Design experience for Data Center or Healthcare Projects. Experience in Computational Fluid Dynamics (CFD) Modeling for Data Center Systems. Experience using CFD tools, preferably Cadence. Experience with Data Center cooling technologies including IT equipment, emergency generators, air-cooled/water cooled chillers, cooling distribution units, cooling towers, adiabatic coolers, CRAH/CRAC units, liquid cooling systems, and containment solutions. Strong understanding of thermodynamics and fluid mechanics as applied to HVAC and Data Center systems. Proficiency in interpreting engineering drawings, equipment specifications, and facility layouts. Ability to manage multiple CFD modeling tasks with strong attention to detail and accuracy. Strong communication skills, with the ability to present complex technical findings to non-technical stakeholders. Knowledge of industry standards relevant to Data Center design. Preferred, Not Required Engineer-in-Training (EIT) or Professional Engineer (PE) License – Preferred, Not Required Experience supporting design optimization for high-density or mission-critical Data Center environments. Duties: Develop CFD Models (Air and Liquid) of Data Center white space and outdoor infrastructure. Simulate airflow, heat transfer, and pressure distributions to evaluate cooling performance, containment strategies, and equipment layouts. Analyze interior and exterior Data Center conditions to optimize airflow, thermal behavior, and environmental performance. Evaluate exterior environmental conditions including wind loading, heat island effects, and outdoor air intake behavior. Interpret simulation results to identify risks, inefficiencies, and opportunities for design improvement. Collaborate closely with the Architectural/Electrical/Mechanical design teams to support Data Center system design decisions. Prepare technical reports and presentations summarizing modeling assumptions, methodologies, results, and design recommendations. Support design optimization for cooling systems, containment solutions, and equipment placement. Maintain and refine CFD simulation libraries, including equipment models, boundary conditions, and environmental templates. Ensure CFD modeling and design recommendations comply with ASHRAE TC 9.9 and internal Data Center Design standards. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. 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Senior Technology Site Reliability Engineer Cooley is seeking a Senior Site Reliability Engineer to join the Infrastructure & Development Operationsteam. Position summary: The Senior Technology Site Reliability Engineer("SRE") is responsible for ensuring the reliability, scalability, and performance of the firm's critical infrastructure and applications. The SREblends software engineering with systems engineering to build and maintain automated, resilient, and observable systems that support high availability and operational excellence. In addition to being technically advanced, the SRE will have a high degree of emotional intelligence and the ability to work as a team towards complex and layered objectives. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: • Monitor and maintain production systems to ensure high availability and performance, • Implement and manage service-level indicators (SLIs), objectives (SLO's), agreements (SLA's), and error budgets, • Participate in on-call rotations and incident response, including root cause analysis and postmortems, • Develop and maintain infrastructure as code (IaC) using Terraform, • Automate deployment, scaling, and recovery processes to reduce manual intervention, • Partner with DevOps to build and maintain CI/CD pipelines to support safe and efficient software delivery, • Implement observability solutions using metrics, logs, traces, and alerting systems (Prometheus, Grafana, DataDog, etc.), • Proactively identify and resolve system bottlenecks and reliability risks, • Work closely with Infrastructure, DevOps, Development, and security teams to embed reliability into the development lifecycle, • Contribute to a culture of blameless post-mortems and continuous improvement, • Document operational procedures and share knowledge across teams, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • Ability to travel, as required, • 6+ years direct applicable experience (e.g. site reliability engineering or related field), • Proficiency in Terraform and programming languages such as Python, Go, or Java, • Deep expertise in cloud platforms, particularly AWS, and container orchestration, • Strong background in distributed systems, performance tuning, and automation, • Bachelor's Degree in Computer Science, Information Technology, Engineering, or associated discipline, • Experience working with advanced ETL data workflows including technologies such as AWS EMR, Azure Synapse, Azure Data Factory, or Apache Hive/Spark/Airflow, • Experience with IaC deployment of AKS/EKS/GKE architecture, • Experience with enterprise Data Lake environments using technologies such as DataBricks or Snowflake Competencies: • Expert analytical/quantitative, problem-solving, and deductive reasoning skills, experience performing advanced troubleshooting and root cause analysis of complex technical issues, • Excellent organizational, planning, and time management skills and ability to work independently and in a team environment to manage competing priorities and meet deadlines, • Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely EOE. The expected annual pay range for this position with a full-time schedule is $140,000 - $205,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Senior Technology Development Operations Engineer Cooley is seeking a Senior DevOps Engineer to join the Infrastructure & Development Operations team. Position summary: The Technology Development Operations (DevOps) Engineer is responsible for building, maintaining, and optimizing the infrastructure and automation pipelines that support Cooley's custom application delivery. Working under the guidance of the Development Operations Manager, this role focuses on improving the efficiency, security, and reliability of the firm's hybrid cloud environments and CI/CD workflows. The engineer will collaborate closely with development, data, and infrastructure teams to ensure seamless integration and deployment of applications. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: • Build, configure, and maintain DevOps infrastructure across hybrid cloud environments (AWS, Azure, on-prem), • Develop and maintain Infrastructure as Code (IaC) using Terraform and related tools, • Implement and manage CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins, • Automate provisioning, configuration, and deployment processes to support rapid and secure software delivery, • Monitor system performance, availability, and security using tools like Datadog, AppDynamics, or New Relic, • Participate in incident response, root cause analysis, and postmortem documentation, • Support release management processes across Dev/Test/Prod environments, • Work with development and data teams to integrate applications into the DevOps-managed environment, • Attend stand-ups and planning sessions to stay aligned with product and infrastructure roadmaps, • Provide documentation and knowledge sharing for operational processes and tooling, • Consult peer teams for feedback during the design, testing, and implementation stages, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • Ability to travel, as required, • 6+ years of experience in cloud infrastructure and DevOps, • Proficiency in AWS or Azure architecture, configuration, and security, • Experience designing CI/CD pipelines using Azure DevOps, Jenkins, or GitHub Actions, • Strong Terraform skills, including use of Terragrunt and advanced workflows, • Hands-on experience with Docker, Kubernetes, Helm, and GitOps tools (Flux, ArgoCD), • Familiarity with microservices deployment and release automation, • Experience deploying .NET Core containers on Linux and scripting in Linux/Windows, • Knowledge of open-source and NoSQL databases (e.g., MS SQL, MongoDB, Elasticsearch), • Bachelor's degree in Computer Science, IT, Engineering, or associated discipline, • Experience with ETL workflows and tools such as AWS EMR, Azure Synapse, Data Factory, Hive, Spark, or Airflow, • Experience deploying AKS/EKS/GKE via IaC, • Familiarity with enterprise Data Lake environments (e.g., Databricks, Snowflake) Competencies: • Expert analytical/quantitative, problem-solving, and deductive reasoning skills, with experience performing advanced troubleshooting and root cause analysis of complex technical issues., • Excellent organizational, planning, and time management skills and ability to work either independently and in a team environment to manage competing priorities and meet deadlines, • Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely, • Experience working with all levels of business professionals, management, stakeholders, and vendors with ability to build effective relationships through trust and diplomacy Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $155,000 - $220,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

We areseekingan experienced and forward-thinkingSolution Architect - Data Engineeringto lead the design and implementation of scalable, secure, and high-performance data solutions. The ideal candidate will have deep expertise withPython and SQL, experience with data warehouses (Snowflake or something similar), a strong command ofengineering best practices(includinglinters and code formatters, project organization, and managing environments), and practical experience buildingCI/CD pipelinesto ensure robust, automated delivery of data pipelines and services. • 7+ years of experience in software or data engineering, with 3+ years in an architectural or technical leadership role., • Expert-levelproficiencyinPython and SQL, with a deep understanding of best practices, performance tuning, and maintainable code patterns., • Proven experience withlinters,formatters, and other static analysis tools to ensure code quality and compliance., • Hands-on experience designing and implementingCI/CD pipelinesfor data pipelines, APIs, and other backend services., • Solid knowledge of modern data platforms and technologies (e.g., Spark, Airflow,dbt, Kafka, Snowflake,BigQuery, etc.)., • Strong understanding of software engineering practices such as version control, testing, and continuous integration., • Experience working in cloud environments (AWS, GCP, or Azure)., • Familiarity with Infrastructure as Code (IaC) tools like Terraform or CloudFormation., • Understanding of security, compliance, and governance in data pipelines., • Excellent communication and documentation skills., • Strong leadership presence with the ability to mentor and influence teams., • Problem-solver with a focus on delivering value and simplicity through technology. We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family.The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee's/applicant's skill set, level of experience, and qualifications. It is the policy of our company to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions. For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with our company, please email ___. Salary Range$200,000—$220,000 USD

Job Locations US-NJ-Paramus ID 2026-1946 Category Information Technology Type Regular Full-Time The Senior Data Engineer, Biz Ops will play a critical role in architecting the data infrastructure powering our AI-driven business operations platform. This role is responsible for analyzing the current database environment, redesigning it for AI-native use cases, and establishing the foundational data architecture for our end-to-end decision-intelligence platform-driven business operations platform. This role is responsible for analyzing the current database environment, redesigning it for AI-native use cases, and establishing the foundational data architecture for our end-to-end decision-intelligence platform.driven business operations platform. This role is responsible for analyzing the current database environment, redesigning it for AInative use cases, and establishing the foundational data architecture for our endtoend decisionintelligence platform. You will design scalable data ecosystems-including Data Lakes, Data Pipelines, and semantic modeling layers-using modern engineering standards (dbt, orchestration frameworks, CI/CD). Working closely with commercial and business operations experts, you will dissect existing workflows and reimagine them as AI-ready, streamlined processes in collaboration with AI Scientists and AI Engineers. You will translate ambiguous operational and business challenges into clean, reliable, ontology-aligned data models that enable forecasting, planning, and optimization across the value chain, beginning with supply chain operations. This is a high-impact senior role for someone who thrives in owning a data ecosystem end-to-end and building AI-centric data infrastructure from the ground up-aligned data models that enable forecasting, planning, and optimization across the value chain, beginning with supply chain operations. This is a high-impact senior role for someone who thrives in owning a data ecosystem end-to-end and building AI-centric data infrastructure from the ground up.aligned data models that enable forecasting, planning, and optimization across the value chain, beginning with supply chain operations. This is a highimpact senior role for someone who thrives in owning a data ecosystem endtoend and building AIcentric data infrastructure from the ground up. Analyze existing databases and redesign them for AI/ML readiness, including ontologydriven and semantic data modeling. • Architect and implement centralized Data Lake and scalable, robust data pipelines supporting operational workflows and AIdriven decision processes., • Build and maintain highquality data transformations using dbt and enforce software engineering best practices across the data stack., • Design featureready data models to support AI/ML use cases such as forecasting, classification, and optimization., • Develop secure and reliable data ingestion frameworks (batch and streaming) with strong observability and performance controls., • Partner with Commercial, Marketing, and AI teams to translate business problems into data requirements, semantic models, and scalable pipelines., • Implement data quality, lineage, and governance practices aligned with enterprise standards., • Lead technical direction on modern data stack architecture and continuously improve scalability, efficiency, and maintainability., • Contribute to an agile, experimentationdriven culture, balancing rapid PoC execution with longterm architectural integrity., • Education: Bachelor's degree or higher in Computer Science, Engineering, or related field., • Experience: 5+ years of hands-on experience in Data Engineering or technical Analytics Engineering, with deep experience building data lakes and orchestrating complex pipelines., • Skills:, • Strong programming proficiency in Python and PySpark for largescale distributed data processing, data manipulation, automation, and pipeline development., • Expertlevel SQL for data modeling, complex transformations, and performance optimization., • Experience with modern data lake table formats such as Apache Iceberg., • Familiarity with Medallion Data Architecture (Bronze/Silver/Gold) for scalable and governed data processing., • Handson experience with modern transformation frameworks (e.g., dbt) and orchestration tools (e.g., Airflow or Python-based schedulers)., • Knowledge of core AWS or Azure data services and data observability practices., • Experience optimizing data models for BI and visualization tools (e.g., Tableau)., • Ability to define business metrics and derive semantic meaning from operational KPIs. Strongly Preferred • Master's degree or higher in a quantitative or technical field., • Experience working with ML pipelines (e.g., MLflow, Feature Stores) and collaborating with AI Scientists/Engineers., • Knowledge of ontologybased modeling, semantic layers, and modern data architectures (e.g., Data Mesh, Data Fabric)., • Experience with Graph Databases (e.g., Neo4j) for semantic modeling, ontology alignment, or operational knowledge graphs., • Domain experience in Supply Chain Management (SCM), BizOps, RevOps, or Commercial Operations., • Experience in regulated industries (e.g., biopharma, healthcare, finance)., • Experience in a BizOps or highly crossfunctional technical role., • Handson experience with Snowflake architecture. Who Thrives in This Role • Someone who enjoys owning a data ecosystem endtoend and building from zero to one., • A strategic thinker who balances strong technical depth with understanding of real business context., • An engineer who thrives in close collaboration with Commercial and AI teams to define how data powers decisions., • A builder comfortable operating in a fastpaced, startuplike environment where innovation and speed matter., • An "Agile Operator" who can rapidly prototype for PoCs while architecting for longterm scalability and reliability.

Responsible for the start-up & commissioning, trouble-shooting and repair of Automatic Temperature Control systems, utilizing knowledge of electronics, direct digital control, airflow, hydronics, refrigeration and air conditioning theory, and control techniques. Uses a variety of hand tools, interpr

Expert in Java, Python, Spark, AWS ( Redshift, Aurora, SQS, Glue, Airflow, etc), DBX.

Job Description Why J.McLaughlin? J.McLaughlin was founded in 1977 by brothers Kevin and Jay McLaughlin with a mission to create an American Sportswear brand that offered two key components: classic clothing with current relevance and a retail environment that has a neighborhood feel. The J.McLaughlin brand has always been more about style than fashion: straightforward, unpretentious, and devoid of the superfluous. Our clothing is rooted in the tradition of sport, work, and play. With over 180 retail locations, each store is entirely unique, attentively designed to reflect the town's color, character, and architecture. This attention to detail extends to exemplary customer service and local philanthropic engagement. Our “Culture of Kindness” creates an environment with respect, politeness, consideration, and empathy that creates a family like atmosphere and focuses on giving back to the community. The company has an entrepreneurial spirit which fosters great experience and career opportunities, complemented with our great incentive benefits programs. Overview J.McLaughlin is a specialty American Sportswear and Accessories brand headquartered in New York. J.McLaughlin has the reputation for being “local and loyal”, building meaningful relationships within each community and providing customers with highly personalized service. We are a growing company with a focus on our culture of kindness, cultivating an exceptional atmosphere in which to work and shop. The Data Analytics Engineer reports to the IT Application Manager. This role will build and maintain the data infrastructure, transforming raw data into clean, reliable datasets for analysts and business users by designing data models, creating pipelines (ETL/ELT), implementing testing, and applying software engineering best practices, acting as a crucial bridge between data engineers and data analysts to enable data-driven decisions. Key responsibilities include data modeling, coding transformations (e.g. SQL and dbt), ensuring data quality through testing, documenting processes, and collaborating with stakeholders to meet business needs. This role is a hybrid role primarily based in our Greenpoint, Brooklyn office. About the role Essential Functions: Data Modeling and Transformation • Designing and implementing structured data models (e.g. star/snowflake schemas) in data warehouses., • Creating clear documentation for data models, transformations, and processes., • Working with data engineers to understand infrastructure and with analysts/stakeholders to define requirements. Skills & Requirements: • Bachelor’s degree in IT Applications or related field or equivalent experience required., • 1-2 years of analytics or BI experience, preferably in the retail industry., • 2-3 years of technical experience with SQL, Python, Data Warehouse/Data Lake (Snowflake, BigQuery, Redshift, AWS), dbt, Airflow, Data Modeling., • Strong problem solving, critical thinking, and data interpretation skills., • Excellent written and oral communication skills with emphasis on teamwork and attention to detail., • Must be able to access and navigate each department at the organization's facilities. J.McLaughlin is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As the Engineering Manager, Data you will lead and represent a team of Data and Analytics Engineers, driving execution at a high level while fostering a culture of trust, empathy, and technical excellence. You will own the data warehouse and pipelines that power company-wide reporting, product analytics, and all post-source data operations, ensuring these are reliable, observable, accurate, fresh, scalable, and extensible. You will provide structured execution, clear prioritization, and alignment with business needs. As a hands-on leader, you will lead sprint ceremonies, roadmap planning, provide mentorship, remove blockers, contribute technically as needed, and create a culture of execution and continuous improvement. You will partner with leaders in our ML, Analytics, BizOps, and Engineering teams and define a vision for data model best practices in our warehouse and ETL pipeline architecture, while supporting new business initiatives. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Drive the development of data pipelines and analytical products in the warehouse, ensuring reliable, performant systems and timely delivery of business-critical insights., • Work closely with business partners across Data Science, Machine Learning, Engineering, Product, and BizOps to align data initiatives with company needs and unlock new opportunities., • Define a vision for a scalable data model architecture in the warehouse, and create a roadmap for the team to iterate into that end-state., • Lead execution, ensuring the team delivers high-quality, reliable data solutions aligned with business priorities, including leading sprint ceremonies and roadmapping., • Oversee data integrity, documentation, testing, and monitoring across systems to ensure stakeholders can trust and self-serve on our data., • Guide and contribute to architecture and design decisions, resolve critical technical issues, and ensure scalable development across our data stack (Dagster, Snowflake, dbt, Fivetran, Hightouch, Hex, Tableau)., • Identify bottlenecks and implement improvements to team workflows, tools, and development practices., • Manage and mentor a growing team of data engineers; foster a culture of technical excellence, accountability, and continuous improvement., • Establish metrics to track progress, communicate priorities, and demonstrate business impact., • Define and maintain data governance standards and proactively manage stakeholder expectations to drive scalable, trusted data use., • Drive reliability, scalability, observability, security, and cost-efficiency improvements across our data stack., • Own company-wide KPI reporting, including ad hoc analysis, product analytics, and dashboard development, ensuring the team delivers clear, accurate insights in response to evolving business questions.Requirements, • 2+ years managing and mentoring data and analytics engineers, with a focus on execution and delivery, and 6+ years of data or analytics engineering experience total, • Proven ability to drive team operations, including sprint ceremonies, roadmap planning, and prioritization, • Hands-on background in building and maintaining ELT pipelines using SQL, DBT, and OLAP databases like Snowflake, • Proficiency in one or more programming languages (Python preferred), with the ability to guide and review technical work., • Experience with workflow orchestration tools like Dagster, Airflow, Prefect., • Skilled in developing scalable reporting solutions using tools like Tableau or Hex, and enabling self-serve analytics across the organization, • Strong data modeling, provenance, and governance skills to support extensible, trusted, and consistent reporting and patterns, • Track record of improving team processes, optimizing workflows, and delivering measurable impact, • Experience being an effective cross-functional partner with Machine Learning, Product, Analytics, and Engineering, aligning data work with business goals, • Clear, concise communicator who can translate complex technical concepts for non-technical stakeholders, • Comfortable navigating ambiguity, breaking down complex problems, and driving iterative solutions, • Committed people leader with a history of coaching talent and fostering a high-performance, inclusive team culture, • Familiarity with healthcare data standards (e.g. HIPAA, FHIR) is highly desirable, • Experience with AWS cloud technologies is preferredBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. Additional Information The total target base compensation for this role will be between $200,000 and $265,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As the Engineering Manager, Data you will lead and represent a team of Data and Analytics Engineers, driving execution at a high level while fostering a culture of trust, empathy, and technical excellence. You will own the data warehouse and pipelines that power company-wide reporting, product analytics, and all post-source data operations, ensuring these are reliable, observable, accurate, fresh, scalable, and extensible. You will provide structured execution, clear prioritization, and alignment with business needs. As a hands-on leader, you will lead sprint ceremonies, roadmap planning, provide mentorship, remove blockers, contribute technically as needed, and create a culture of execution and continuous improvement. You will partner with leaders in our ML, Analytics, BizOps, and Engineering teams and define a vision for data model best practices in our warehouse and ETL pipeline architecture, while supporting new business initiatives. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Drive the development of data pipelines and analytical products in the warehouse, ensuring reliable, performant systems and timely delivery of business-critical insights., • Work closely with business partners across Data Science, Machine Learning, Engineering, Product, and BizOps to align data initiatives with company needs and unlock new opportunities., • Define a vision for a scalable data model architecture in the warehouse, and create a roadmap for the team to iterate into that end-state., • Lead execution, ensuring the team delivers high-quality, reliable data solutions aligned with business priorities, including leading sprint ceremonies and roadmapping., • Oversee data integrity, documentation, testing, and monitoring across systems to ensure stakeholders can trust and self-serve on our data., • Guide and contribute to architecture and design decisions, resolve critical technical issues, and ensure scalable development across our data stack (Dagster, Snowflake, dbt, Fivetran, Hightouch, Hex, Tableau)., • Identify bottlenecks and implement improvements to team workflows, tools, and development practices., • Manage and mentor a growing team of data engineers; foster a culture of technical excellence, accountability, and continuous improvement., • Establish metrics to track progress, communicate priorities, and demonstrate business impact., • Define and maintain data governance standards and proactively manage stakeholder expectations to drive scalable, trusted data use., • Drive reliability, scalability, observability, security, and cost-efficiency improvements across our data stack., • Own company-wide KPI reporting, including ad hoc analysis, product analytics, and dashboard development, ensuring the team delivers clear, accurate insights in response to evolving business questions.Requirements, • 2+ years managing and mentoring data and analytics engineers, with a focus on execution and delivery, and 6+ years of data or analytics engineering experience total, • Proven ability to drive team operations, including sprint ceremonies, roadmap planning, and prioritization, • Hands-on background in building and maintaining ELT pipelines using SQL, DBT, and OLAP databases like Snowflake, • Proficiency in one or more programming languages (Python preferred), with the ability to guide and review technical work., • Experience with workflow orchestration tools like Dagster, Airflow, Prefect., • Skilled in developing scalable reporting solutions using tools like Tableau or Hex, and enabling self-serve analytics across the organization, • Strong data modeling, provenance, and governance skills to support extensible, trusted, and consistent reporting and patterns, • Track record of improving team processes, optimizing workflows, and delivering measurable impact, • Experience being an effective cross-functional partner with Machine Learning, Product, Analytics, and Engineering, aligning data work with business goals, • Clear, concise communicator who can translate complex technical concepts for non-technical stakeholders, • Comfortable navigating ambiguity, breaking down complex problems, and driving iterative solutions, • Committed people leader with a history of coaching talent and fostering a high-performance, inclusive team culture, • Familiarity with healthcare data standards (e.g. HIPAA, FHIR) is highly desirable, • Experience with AWS cloud technologies is preferredBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. Additional Information The total target base compensation for this role will be between $200,000 and $265,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionBustle Digital Group (BDG) is looking for a talented Data Engineer to join our growing data team. You will work alongside the Director of Data Engineering to build, optimize, and scale our data infrastructure, supporting the development of data-driven products and insights that power our advertising, affiliate sales, and editorial content strategies. This is a fantastic opportunity to work with large-scale data pipelines, cutting-edge technologies, and a dynamic team that values innovation and impact.What You'll Do • Develop & Maintain Data Pipelines: Build scalable and efficient ETL pipelines to support analytics, reporting, and machine learning initiatives., • Optimize Data Storage & Performance: Work with large datasets to improve storage solutions, query performance, and data accessibility., • Collaborate Cross-Functionally: Partner with engineering and business teams to develop data solutions that enhance advertising, affiliate sales, and editorial insights., • Ensure Data Quality & Reliability: Implement monitoring, validation, and governance processes to maintain the integrity and security of our data., • Contribute to Data Strategy: Support the Director of Data Engineering in designing and implementing scalable data architectures and best practices.Who You Are, • Experienced Data Engineer: 2+ years of experience working with data infrastructure, ETL processes, and large-scale datasets., • Proficient in SQL & Python: Strong knowledge of SQL for querying and manipulating data, and experience with Python for scripting and automation., • Cloud & Big Data Savvy: Hands-on experience with cloud platforms (AWS, GCP, or Azure), data warehouses (BigQuery, Redshift, Snowflake), and distributed processing (Spark, Airflow, or similar)., • Experience working data generating frontends in React and TypeScript., • Problem Solver & Innovator: Passionate about solving complex data challenges and improving system efficiency., • Team Player & Communicator: Strong collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.BDG Benefits, • Competitive Compensation: Market-based salary with annual reviews., • Unlimited PTO: Take the time you need to recharge and stay productive., • Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents., • Retirement Savings: 401(k) plan.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at Summary CoreWeave is seeking a Sr. Data Scientist to architect and scale the data infrastructure that serves as the backbone of our Integrated Planning and Capacity teams. As an AI hyperscaler, our ability to manage GPU, CPU, and storage assets in real-time is the difference between leading the market and falling behind. Currently, our systems are in a nascent, "bare minimum" stage. You will be responsible for leading the transition to a centralized, production-grade database system. This is a heavy software engineering-focused role where you will build the pipelines and transformations necessary to unify disparate metrics—ranging from power utilization and node health to customer capacity allocation data—into a single, accurate source of truth. Your work will directly enable the dashboards used by operational planners and executives, and provide the high-fidelity data required to develop autonomous, data-based agents for quantitative decision-making. Key Responsibilities • Architect Scalable Pipelines: Design, build, and maintain robust end-to-end data pipelines and transformations that aggregate data from across the organization, including data center operations, power metrics, node provisioning, and finance., • Enable Advanced Analytics: Build and optimize the data structures that power real-time and near-real-time dashboards for operational capacity and demand managers., • Support AI Agent Development: Ensure that data pipelines are architected to support the ongoing development of quantitative AI agents designed to synthesize complex data and inform high-stakes infrastructure decisions., • Cross-Functional Synthesis: Partner with Data Center Operations, Supply Chain, Product, and Finance to ensure technical pipelines accurately reflect the physical realities of data center bring-up and node health., • Education: Master's or PhD in Computer Science, Computer Engineering, Operations Research, or a related quantitative field., • Experience: 6+ years of professional experience in data engineering or data science, with a heavy emphasis on building production-grade planning systems (ERP, MRP, or similar operations tools)., • Software Engineering Expertise: Expert-level proficiency in Python and SQL is mandatory. Experience with modern data stack tools (e.g., dbt, Airflow, Snowflake/BigQuery) and software development best practices (version control, CI/CD)., • Systems Thinking: Proven track record of taking "weak" or unstructured data environments and scaling them into robust, automated architectures., • Domain Knowledge: Familiarity with AI infrastructure, specifically GPU/CPU utilization metrics and data center operational constraints., • Background: Prior experience in high-complexity environments such as cloud infrastructure, semiconductor manufacturing, or advanced logistics. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Position: AI/MLEngineer Location: NYCNY/Atlanta GA (In-Person Interview) Duration: 12 Months Need Only Locals to NY and GA Face to Face Interview - W2 Contract only Skills and Responsibilities: Build end-to-end AI/ML systems,including scalable ML pipelines, production-grade models, and full MLOpsinfrastructure for training, deployment, monitoring, andautomation. Develop solutions using Python,Docker, Kubernetes, Bash, PowerShell, SQL/NoSQL/vector databases, and cloudplatforms such as AWS, Azure, GCP, or OCI. Skilled in Apache Kafkafor event-driven systems Design and deploy ML models across domains like NLP/LLMs (BERT, GPT,RAG, fine-tuning), time-series forecasting, recommendersystems, and distributed training on multi-GPU or multi-nodesetups. Use MLOps and workflow tools including MLflow,Weights & Biases, Kubeflow, Airflow, and cloud AI services(Azure AI, AWS SageMaker/Bedrock, GCP Vertex AI, OCI AI). Build internal tools, CLI-first utilities, and efficient MLworkflows for high-scale production environments. Optional experience includes CI/CD (Azure DevOps, GitHubActions, Jenkins), computer vision (PyTorch/TensorFlow), Go/Rust,feature stores, model optimization, edge deployment, A/B testing, open-source ML,and real-time streaming (Kafka, Kinesis).

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. The Data Science team, a part of the broader StubHub Data organization, is looking for an experienced, senior-level Data Science Manager to lead a growing team (currently 6, ranging from entry level DS to Staff+) that covers a wide range of data science disciplines. StubHub is the largest secondary ticketing marketplace in the world, generating massive amounts of consumer data that are leveraged to tackle many unique and interesting predictive and inference problems across user acquisition, product recommendations, pricing optimization, ticket fulfillment mitigation, and business forecasting. As a Data Science Manager, you will need to work closely with business leaders and convert their long-term strategic goals into tangible machine learning projects executed by your team at a day-to-day level. Understanding when to provide oversight from a technical perspective, while being able to grow individuals, will be paramount in your team's long-term success. You will also be responsible for the technical and personal growth of your team members, developing talent density through focused mentorship, strategic career development, and execution excellence. There will be a need for planning of team structure and growth as we put more investment into ML, especially understanding the best ways of building and applying generative AI solutions within our product. You will be joining at a critical time for the Data Science practice and the company – while the value of this discipline has been established and there's a high performing team in place, we are far from steady state. Key areas of investment from a vision and team planning perspective include establishing new pockets of deep technical expertise (e.g. causal inference, graph ML), advocating for best-in-class ML tooling/platform, and widening the reach of data science company-wide. As a senior leader of this team, you will be in charge of shaping and materializing that vision. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA What You'll Do • Technical project scoping and planning, • Partner with cross-functional stakeholders across the business, executives, and data team, • Technical review and architecture oversight, • Recruitment and end-to-end talent growth development: Performance reviews, promotion recommendations, 360 feedback, etc, • 8 - 10 years of relevant machine learning/data science in a fast-paced, high growth environment, • 8 - 10 years of experience managing high performant data science team., • Strong programming and analytical ability with expertise in SQL and Python (TensorFlow, scipy, scikit-learn, PyTorch, statsmodels), • Experience with modern workflow orchestration used in machine learning, e.g.,Metaflow, ZenFlow, Airflow, • Nice to Haves, • Worked at a consumer tech company, • Experience with GenAI/LLM/Agentic workflows in a production setting, • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$300,000—$400,000 USDAbout UsStubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found hereWe are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Job DescriptionUS Mobile is on a mission to revolutionize connectivity. Imagine a world where you can go into a single app and buy terabytes of data for every one of your devices: phone, smart devices, car, home broadband, and more. That’s the future that US Mobile is building: a software platform built truly for the 21st century and the age of 5G and IoT, with world class engineering, best-in-class user experience, and features that will define the next generation of connectivity. At the core of it all, we have a team and culture that has been recognized by Forbes as one of the top 500 best startup employers in the US. Our team spans diverse backgrounds, cultures, and stories, with employees coming from 20+ countries. We’re a venture-backed company entering hypergrowth, having recently ranked 94th on Inc 5000’s fastest-growing private companies in America, and we’re looking for someone exceptional to join our team. We are looking for a proactive and detail-driven Analytics Engineer to connect the worlds of data analysis and data engineering. In this role, you will design, develop, and refine data pipelines to transform raw data into meaningful insights that empower marketing, operations, and decision-making teams. If you’re passionate about analytics, automation, and building scalable solutions, we’d love to hear from you.Job Description • Work closely with engineering teams to design and develop data structures that enable deeper analysis., • Demonstrate expertise in the analytics engineering development cycle, including data modeling, version control, documentation, testing, and ensuring codebase best practices., • Build visually compelling, high-performance reporting and dashboards using tools like Tableau, Looker, or similar BI platforms to provide valuable insights from large datasets., • Create and optimize data models and schemas to support self-serve analytics and ensure data integrity., • Collaborate with business stakeholders to influence data-driven decision-making, proactively uncovering meaningful patterns and insights.Qualifications, • 4+ years of professional experience in analytics engineering, data engineering, or data science., • Strong understanding of data architecture, including building scalable pipelines and optimizing storage solutions for analytical workflows (e.g., S3, Redshift, Snowflake, BigQuery).Strong understanding of data engineering principles, including ETL / ELT processes., • Hands-on experience with data orchestration tools (e.g., Airflow) and data modeling frameworks (e.g., dbt)., • Proficiency in Python or a similar scripting language for data processing and analysis., • Strong expertise in SQL, including experience with data modeling and adherence to database design best practices., • Proven ability to create impactful reports and dashboards using business intelligence tools such as Tableau and Looker., • Experienced in a fast-paced, constantly improving, startup environment that focuses on solving problems with iterative technical solutions.Benefits, • Competitive salary, • Flexible working hours, • Supplemental health insurance, • Professional development stipend

Job DescriptionCompany Description Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our students consistently exceed national benchmarks, reflecting our dedication to their success. We invest deeply in our educators, offering weekly coaching, feedback, and professional development to ensure excellence in teaching and leadership. Join us to work hard, do good, and make a lasting difference! Job Description You will play a key role in shaping how data flows across Uncommon Schools, helping teams make better decisions that directly impact students and communities. As a Senior Data Engineer, you’ll design and build the systems that connect our applications and data warehouse, ensuring data is accurate, accessible, and reliable. You’ll partner closely with teams across Data, IT, and the organization to translate complex needs into scalable solutions. This is a highly collaborative role where your work will strengthen how we use data to drive outcomes and continuously improve how we operate. Responsibilities Data Integration & Architecture • Design end-to-end data pipelines and integrations aligned to organizational goals, • Build and maintain APIs to enable seamless data movement across systems, • Transform and connect data across applications and the data warehouse while maintaining data integrity, • Provide advanced support for data integrations and partner with IT and Product teams to resolve issues, • Guide implementation of new integrations and support systems post-deployment, • Select and implement tools that support integration and data infrastructure needs, • Partner with stakeholders to understand needs and translate them into technical solutions, • Communicate complex concepts clearly to support strong decision-making, • Mentor team members and support adoption of best practices and coding standards, • Monitor integrations to ensure accuracy, reliability, and security, • Maintain documentation and a centralized view of data integrations, • Support development of governance frameworks for data management, • Contribute to long-term enterprise architecture planning and technical directionQualifications Required • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience, • Experience building and maintaining data integrations in RESTful or SOAP environments, • Proficiency in at least one programming language such as Python, JavaScript, C#, or Java, • Strong experience writing and maintaining complex SQL queries, • Experience with data pipeline and workflow tools such as Apache Airflow, • Experience with data modeling tools such as dbt, • Experience with data validation tools or frameworks, • Experience working with AI coding tools or assistants, • Strong problem-solving skills with attention to detail, • Ability to prioritize work and manage multiple responsibilities, • Clear and thoughtful communication with both technical and non-technical audiences Additional Information Our people are what make us Uncommon. We offer competitive compensation and comprehensive benefits that support the personal health, wellness, and finances of our staff and their families. Our compensation philosophy values equity & fairness and attracting & retaining top talent. Compensation The full compensation range for this role is $120,700 to $142,000. Typically, new hires who fully meet all qualifications listed in the job description will start at $124,300. Starting compensation below this reflects candidates with less experience or qualifications. Offers near the top end of the range are reserved for candidates who significantly exceed the qualifications, bringing extensive experience and specialized expertise beyond what is listed. Compensation determinations consider relevant professional experience and tenure with Uncommon Schools. Work Environment Manhattan-based role with in-office work three days per week. Benefit Highlights: • 19 days of paid time off, • 3 weeks of paid Winter and Summer org-wide holidays, • Comprehensive Health, Dental, and Vision insurance plans, • 403(b) retirement savings program + employer match, • Paid leave of absence options (parental, medical, disability, etc.), • Mental health and counseling support + wellness benefits, • Pre-tax flexible spending, dependent care, and health saving accounts *A detailed list of all benefits is located HERE. At Uncommon, we believe that a supportive and welcoming environment helps our students, staff, and community thrive. We are dedicated to building a team that brings a wide range of perspectives and experiences, reflective of the communities we serve---with over 70% of our staff identifying as people of color. Our organization values respect and open dialogue on important topics that shape our school culture. As an equal opportunity employer, Uncommon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We also ensure that individuals with disabilities receive all privileges and benefits associated with employment and are provided reasonable accommodations for the interview process and to perform core job functions. If you would like to request an accommodation, please email .

Job DescriptionAbout CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. The role: We're looking for a Senior Manager, Data Science/ML who will drive CookUnity's next phase of product innovation through forward-looking data science capabilities. This role goes beyond traditional analytics—you'll be responsible for building the ML and experimentation foundation that enables personalized, intelligent product experiences at scale. As Senior Manager, you'll own the strategic vision for how data science shapes our product roadmap. You'll build and lead a team focused on predictive modeling, personalization, experimentation frameworks, and emerging ML capabilities that directly impact customer engagement, retention, and lifetime value. This is a high-impact role for someone who thinks strategically about the future of product science while remaining hands-on in driving technical execution. Responsibilities:Strategic Vision & Product Partnership • Define and execute the product data science strategy, identifying opportunities where ML and predictive analytics can unlock step-change improvements in customer experience and business outcomes, • Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap with data-driven insights and forward-looking ML capabilities, • Act as a thought leader on emerging data science techniques (personalization, recommendation systems, causal inference, generative AI) and their application to product problems, • Translate complex product challenges into clear data science problems with measurable success criteria, • Own the end-to-end ML lifecycle for product use cases: problem framing, feature development, model training, deployment, monitoring, and iteration, • Partner with the Growth Data Science & Analytics team to align experimentation, measurement, and modeling efforts into a cohesive end-to-end data science ecosystem.Team Leadership & Development, • Build, mentor, and scale a high-performing product data science team capable of delivering both strategic insights and production ML systems, • Foster a culture of innovation, experimentation, and continuous learning within the data science organization, • Create career development pathways that attract and retain top data science talent, • Collaborate with Analytics Engineering to ensure seamless model deployment and monitoringAdvanced Analytics & ML Capabilities, • Own and evolve personalization and recommendation systems that drive engagement and conversion across the customer journey, • Design and implement robust experimentation frameworks that enable rapid, high-quality product testing and learning, • Develop causal inference methodologies to understand true incrementality of product changes., • Ensure models are observable, explainable where needed, and continuously improved post-launchProduct Measurement & Impact, • Define product success metrics and measurement frameworks that align with business objectives, • Build scalable dashboards and monitoring systems that provide real-time visibility into product performance, • Conduct deep-dive analyses on user behavior patterns to uncover opportunities for product optimizationQualifications:, • 8+ years of experience in data science, with at least 3 years in leadership roles managing data scientists or ML engineers, • Proven track record building and deploying ML models in production, particularly in personalization, recommendation systems, or predictive modeling, • Deep expertise in experimentation and causal inference, including A/B testing, incrementality measurement, and statistical rigor, • Strong product sense and business acumen—ability to identify high-impact opportunities and translate them into data science initiatives, • Experience in consumer tech, e-commerce, or marketplace businesses where personalization and user engagement are critical, • Excellent communication skills—ability to explain complex technical concepts to non-technical stakeholders and influence product strategy, • Hands-on technical proficiency in Python, SQL, and modern ML frameworks (scikit-learn, PyTorch, TensorFlow), • Experience with cloud-based data infrastructure (AWS, GCP, Snowflake) and ML Ops tools (MLflow, Airflow, Kubeflow)Preferred requirements:, • PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field, • Experience with real-time ML systems and feature stores, • Background in recommendation systems or two-tower/multi-modal embeddings, • Familiarity with generative AI and LLM applications in product contexts, • Experience building data science teams from scratch or through periods of rapid growth, • Prior work in subscription businesses or retention-focused products, • Knowledge of modern product analytics tools (Amplitude, MixPanel, Looker)What Success Looks Like, • 6 months: Established product data science roadmap aligned with business priorities; shipped at least one high-impact ML model to production; built strong partnerships with Product and Engineering leadership We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect! Benefits 🩺 Health Insurance coverage 🌅 401k Plan 📈 We grow, you grow: Stock Options Plan granted on Day 1 🌟 Eligible for a bi-annual performance bonus ⛱ Unlimited PTO 🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical 🐣 Paid Family leave 🕯 Compassionate Leave: 3-5 days each time the need arises 🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly 🧘🏽️‍♀️ Wellness perks: access to fitness subsidies to build a healthy lifestyle 👩🏾️‍🏫 Personalized Spanish coach 🚀 Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.Pay Range for this position$225,000—$240,000 USD If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. A quick note for all candidates We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us: • Apply only through our official channels. All open roles are listed on our official careers page: careers.cookunity.com, • Our recruiters are real people — and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page., • We only communicate through official CookUnity channels. That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: As a Senior Data Engineer at Hinge, you will create essential data processes and contribute to components of a modern data pipeline that will be the foundation of Hinge’s decision-making ability. The systems you help create, the problems you help solve, and the support of our analytical minds, will be pivotal to the success of Hinge. Your work will enable the organization to make data-driven decisions and drive improvements, which will affect the love lives of millions of people. As a Senior Data Engineer on the team, you will be improving core functionality and implementing critical pipelines that will not only aid the Data Engineering team but also the rest of the organization. You will be working on an actual big data architecture while concentrating on real-world problems.Responsibilities: • Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers., • Improve our Data Engineering stack through containerization, data modeling, developing our ETL pipelines, and more., • Use your expertise in data modeling to design, build, and maintain our analytics data warehouse, which provides clean, accurate, and robust data sets that can be leveraged for reporting, analytics, and machine learning initiatives., • Work with stakeholders and translate their needs and expectations into action items and deliverables., • Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines., • Participate in our on-call rotation to ensure system reliability, promptly addressing issues to ensure smooth operations.What We're Looking For:, • 5+ years of professional/industry experience, • Proficient in Python, SQL, DevOps, and databases., • 5+ years of professional/industry experience., • Experience delivering data products from conception to delivery and with the infrastructure that supports their underlying processes., • Experience modeling data sets for different types of sources and business processes., • Passionate about designing elegant data infrastructure, tooling, and pipelines. #Hinge

Job Description Who We Are: Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series C funding round brought our total investment to over $170 million, fueling our ambitious vision. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 6 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 230+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. About the Role: We are seeking an Analytics Engineer to own and execute the vision for our data transformation layer. You will be at the heart of our data platform, which processes hundreds of millions of events daily from a wide array of sources, including transactional databases, API logs, CRMs, payment systems, and marketing platforms. You will join our 100% remote team and work closely with Data Engineers (who manage data ingestion) and Data Scientists and Business Users (who consume your data models). Your primary responsibility will be to use dbt and Trino on our GCP-based, open-source data infrastructure to build robust, scalable data models. These models are critical for stakeholders across the company—from finance and operations to the executive team—and are delivered via BI tools, reports, and reverse ETL systems. What You'll Do: • Own the Transformation Layer: Design, build, and maintain scalable data models using dbt and SQL to support diverse business needs, from monthly financial reporting to near-real-time operational metrics., • Set Technical Standards: Establish and enforce best practices for data modelling, development, testing, and monitoring to ensure data quality, integrity (up to cent-level precision), and discoverability., • Enable Stakeholders: Collaborate directly with finance, operations, customer success, and marketing teams to understand their requirements and deliver reliable data products., • Integrate and Deliver: Create repeatable patterns for integrating our data models with BI tools and reverse ETL processes, enabling consistent metric reporting across the business., • 4+ years of experience in analytics engineering or data engineering with a strong focus on the "T" (transformation) in ELT., • Proven track record of owning data products end-to-end, applying analytics and data engineering best practices to ensure data quality, scalability, and robust data models., • Comfortable working with ambiguity and collaborating with stakeholders to define requirements; able to take ownership with minimal oversight in a fast-paced environment., • Experience proactively identifying and implementing improvements to data warehouse performance and ETL efficiency., • Technical Versatility:, • Expert-level SQL and DBT skills for complex queries and data transformations., • Proficiency in Python for transformations that extend beyond SQL., • Hands-on experience with query optimization across OLTP and OLAP systems (e.g., Postgres, Iceberg)., • Proficiency with Semantic Layer modelling (e.g. Cube, dbt Semantic Layer)., • Experience owning CI/CD workflows and establishing team-wide standards for version control and code review (e.g., Git)., • Experience with data ingestion tools (e.g., Airbyte) and orchestration tools (e.g., Airflow)., • Domain experience for brokerage operations or a passion for financial markets and modelling financial datasets.How We Take Care of You:, • Competitive Salary & Stock Options, • Health Benefits, • New Hire Home-Office Setup: One-time USD $500 Recruitment Privacy Policy

Job DescriptionCompany Description Be part of a global consulting powerhouse, partnering with clients on their most critical strategic transformations. We are Wavestone. Energetic, solution-driven experts who focus as much on people as on performance and growth. Hand in hand, we share a deep desire to make a positive impact. We are an ambitious firm with a worldwide reach and an ever-expanding portfolio of clients, topics, and projects. In North America, Wavestone operates from hubs in New York City, Pittsburgh, Dallas and Toronto. We work closely with CEOs and technology leaders to optimize IT strategy, sourcing models, and business processes and are committed to building lasting partnerships with our clients. Are you a true team player, living strong values? Are you a passionate learner, aiming to grow every day? Are you a driven go-getter, tackling challenges head-on? Then we could be the right fit for you. Join Wavestone and thrive in an environment that’s empowering, collaborative, and full of opportunities to turn today’s challenges into tomorrow’s solutions – contributing to one or more of our core 4 capabilities: Business Consulting | Business Strategy & Transformation, Organizational Effectiveness & Change Management, Operating Model Design & Agility, Program Leadership & Project Management, Marketing, Innovation, & Customer Experience Technology Consulting | IT Strategy & CTO Advisory, Technology Delivery, Data & Artificial Intelligence, Software & Application: Development & Integration, SAP Consulting, Insurance/Reinsurance Cybersecurity | Cyber Transformation Remediation, Cyber Defense & Recovery, Digital Identity, Audit & Incident Response, Product & Industrial Cybersecurity Sourcing & Service Optimization | Global Services Strategy, IT & Business Process Services Outsourcing, Global In-House Center Support, Services Optimization, Sourcing Program Management Read more at . Job Description As a Data & Strategy Engineer at a manager level at Wavestone, you will be expected to help address strategic as well as detailed client needs, specifically serving as a trusted advisor to C-level executives and be comfortable supporting and leading hands-on data projects with technical teams. In this role you would be leading or supporting high-impact data transformation, data modernization and data initiatives to accelerate and enable AI solutions, bridging business strategy and technical execution. You will architect and deliver robust, scalable data solutions, while mentoring teams and helping to shape the firm’s data consulting offerings and skills. This role requires a unique blend of strategic vision, technical depth, and consulting leadership. Key Responsibilities • Lead complex client engagements in data engineering, analytics, and digital transformation, from strategy through hands-on implementation., • Advise C-level and senior stakeholders on data strategy, architecture, governance, and technology adoption to drive measurable business value., • Architect and implement enterprise-scale data platforms, pipelines, and cloud-native solutions (Azure, AWS, Snowflake, Databricks, etc.)., • Oversee and optimize ETL/ELT processes, data integration, and data quality frameworks for large, complex organizations., • Translate business objectives into actionable technical road maps, balancing innovation, scalability, and operational excellence., • Mentor and develop consultants and client teams, fostering a culture of technical excellence, continuous learning, and high performance., • Drive business development by shaping proposals, leading client pitches, and contributing to thought leadership and market offerings., • Strategic Data Leadership: Proven ability to set and execute data strategy, governance, and architecture at the enterprise level., • Advanced Data Engineering: Deep hands-on experience designing, building, and optimizing data pipelines and architectures (Python, SQL, Spark, Databricks, Snowflake, Azure, AWS, etc.)., • Designing Data Models: Experience creating conceptual, logical, and physical data models that leverage different data modeling concepts and methodologies (normalization/denormalization, dimensional typing, data vault methodology, partitioning/embedding strategies, etc.) to meet solution requirements., • Cloud Data Platforms: Expertise in architecting and deploying solutions on leading cloud platforms (Azure, AWS, GCP, Snowflake)., • Data Governance & Quality: Mastery of data management, MDM, data quality, and regulatory compliance (e.g., IFRS17, GDPR)., • Analytics & AI Enablement: Experience enabling advanced analytics, BI, and AI/ML initiatives in complex environments., • Executive Stakeholder Management: Ability to communicate and influence at the C-suite and senior leadership level., • Project & Team Leadership: Demonstrated success managing project delivery, budgets, and cross-functional teams in a consulting context. As a part of the Wavestone team, you will be constantly engaged with projects and opportunities that will develop your skills and advance your career. Wavestone hires the brightest, creative, and most dedicated candidates, developing them into confident and knowledgeable leaders and business experts. Our collaborative culture ensures that—from Day 1—you become an integral member of the Wavestone team. Qualifications • Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or related field, or equivalent business experience., • 8+ years of experience in data engineering, data architecture, or analytics consulting, with at least 2 years in a leadership or management role., • Demonstrated success in client-facing roles, ideally within a consulting or professional services environment., • Advanced proficiency in Python, SQL, and modern data engineering tools (e.g., Spark, Databricks, Airflow)., • Experience with cloud data platforms (Azure, AWS, GCP, Snowflake)., • Relevant certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer, Databricks, Snowflake) are a strong plus., • Exceptional problem-solving, analytical, and communication skills., • Industry exposure: Deep experience in Insurance, Pharma, or Financial Services Additional Information Our commitment: Wavestone’s Positive Way At Wavestone, we believe our employees are our greatest ambassadors. By embodying our shared values, vision, mission, and corporate brand, you'll become a powerful force for positive change. We are united by a shared commitment to making a positive impact, no matter where we are. This is better defined by our value base, "The Positive Way," which serves as the glue that binds us together: • Energetic - A positive attitude gives energy to lead projects to success. While we may not control the circumstances, we can always choose how we respond to them., • Responsible - We act with integrity and take ownership of our decisions and actions, considering their impact around us. Benefits • 25 PTO / 6 Federal Holidays / 4 Floating Holidays, • 4 months parental leave to birthing parent / 2 months to supporting parent, • Medical / Dental / Vision coverage, • 401K Savings Plan with Company Match, • HSA/FSA, • Up to 4% bonus based on personal and company performance with room to grow as you progress in your career, • Regular Compensation increases based on performance This full-time position is based in our New York office. You must reside or be willing to relocate within commutable distance to the office. Travel requirements tend to fluctuate depends on your projects and client needs Diversity and Inclusion Wavestone seeks diversity among our team members and is an Equal Opportunity Employer. At Wavestone, we celebrate diversity and inclusion. We have a strong global CSR agenda and an active Diversity & Inclusion committee with Gender Equality, LGBTQ+, Disability Inclusion and Anti-Racism networks. If you need flexibility, assistance, or an adjustment to our recruitment process due to a disability or impairment, you may reach out to us to discuss this. Feel free to visit our Wavestone website and LinkedIn page to see our most trending insights!!

Job DescriptionCompany Description VERSANT is a leading force in news, sports and entertainment - home to iconic and trusted brands that inspire, inform, and delight audiences. Our unique combination of content, technology and services enriches the cultural fabric, igniting passions, sparking conversations, and connecting people to what they love most. As an independent, publicly traded company, VERSANT brings together powerhouse cable networks - including USA Network, CNBC, MS NOW (formerly MSNBC), Oxygen, E!, SYFY, and Golf Channel - with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. Together, these businesses reflect our commitment to delivering exceptional experiences across every screen and service. VERSANT is an industry-changing media company fueled by innovation and an entrepreneurial spirit. With a strong foundation and a forward-looking vision, VERSANT empowers creativity, embraces change, and drives connection in an ever-evolving world. Job Description The Data Engineering team is seeking a Senior Data Engineer to help design, build, and scale the modern data platform that powers analytics, data science, and data products across Versant brands. In this role, you’ll collaborate closely with Data Product, Data Science, Analytics, and Engineering teams to deliver reliable, high-impact data solutions used by hundreds of internal users. We're looking for engineers who enjoy hands-on development, take ownership of production systems, and influence implementation through collaboration and technical expertise. Key Responsibilities • Design and implement lakehouse architecture using Delta Lake, including medallion pipeline patterns (Bronze/Silver/Gold), schema enforcement, and time travel, • Build and operate batch and real-time ingestion pipelines leveraging Databricks Auto Loader, Structured Streaming, and Change Data Capture patterns, • Optimize performance and manage costs through FinOps strategies, including cluster sizing, workload tagging, Spark tuning, and Photon acceleration, • Design, implement, and maintain CI/CD pipelines and orchestration workflows using Databricks Workflows, Delta Live Tables, and tools such as Airflow, • Provide technical mentorship through code reviews, pairing and knowledge sharingQualifications, • Bachelor’s degree in Computer Science, Data Engineering, or equivalent practical experience, • 5+ years of experience building production-grade data pipelines in cloud environments using Spark-based platforms (e.g., Databricks, EMR, Dataproc, open-source Spark), • Expertise in PySpark, SQL, and Spark-based data processing, with experience operating pipelines at scale in production, • Hands-on experience building batch or streaming production data pipelines using distributed processing frameworks (e.g., Spark, Flink) and query engines such as Presto, • Proficiency with orchestration tools such as Apache Airflow or Dagster, with hands-on experience in CI/CD, monitoring, alerting, and data quality for production systems, • Experience working with modern data architectures, including event-driven and distributed systems, • Proficiency with Git and collaborative development workflows, • Build and operate batch and real-time ingestion pipelines using Spark based batch and streaming patterns (e.g., Structured Streaming, CDC), with experience on Databricks or comparable platforms, • Experience building Lakehouse platforms and medallion pipelines in Databricks, • Familiarity with Unity Catalog, data governance, and compliance frameworks (e.g., PCI), • Hands-on experience with CI/CD pipelines, orchestration tools, and infrastructure-as-code, • Experience with Lakeflow Spark Declarative Pipelines (SDP), MLflow, feature stores, and MLOps practices, • Background in media and entertainment data (e.g., video metadata, ad tech, audience analytics), • Experience working with large-scale analytical datasets (e.g., event logs, clickstream data, audience metrics), • Comfortable using AI-assisted development tools (e.g., ChatGPT), • Passion for clean, reliable, and scalable data systems, • Strong communication and collaboration skills, • Ability to balance near-term delivery with thoughtful technical design, • Curiosity and a growth mindset, • Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week from our NYC office., • Salary: $140,000 - $160,000. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other benefits and perks., • As part of our selection process, candidates may be required to attend an in-person interview with a VERSANT employee in New York. VERSANT's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law., • VERSANT is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: We are hiring a Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning systems that power our core products in User Growth and Monetization. You will work on building deeply personalized user experiences that drive business growth and meet individual needs and preferences: by targeting the right users with the right products at the right time, we empower product teams to drive meaningful growth in revenue and user engagement while enhancing user satisfaction. The Growth Product Group is responsible for the development of paid features to accelerate dating outcomes, driving engagement throughout a user’s lifecycle and making Hinge the dating destination for all communities. You can expect to work on a broad range of problems, from identifying how to send the right message to the right user at the right time to optimizing the efficacy of our paid offerings. This is a fast growing team, and you will help define the vision and strategy that drives meaningful growth and accelerates machine learning at Hinge.Responsibilities: • Lead the end-to-end development of production-grade ML systems such as user targeting models that will help drive engagement, improve dating outcomes and/or improve user adoption of and engagement with paid features, • Define and own the technical roadmap for ML within your product area and align with company-wide priorities, • Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process, • Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally, • Keep abreast of and bring to Hinge applicable cutting-edge research, technologies, and best practices in the ML/AI space., • Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale., • Ensure the ethical and responsible use of ML/AI and compliance with privacy regulations to protect user data, • Communicate effectively to audiences of various technical and non-technical backgroundsWhat We're Looking For:, • Strong programming skills: Proficiency in Python and ML libraries such as PyTorch, • Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning machine learning for user facing products. Experience with causal inference, uplift modeling, and interventional data collection is a plus., • System design & architecture: Strong background in setting up and optimizing ML infrastructure, including containerization (Docker), orchestration (Kubernetes), and CI/CD workflows for ML (e.g., model versioning, automated testing)., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow, or Weights & Biases is a plus., • Data engineering knowledge: Skills in handling and managing large datasets including data cleaning, preprocessing, and storage. Good understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.., • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 5+ years of experience, depending on education, as an MLE, with at least 2 years in a senior or staff-level role, • Previous experience in User Growth or Monetization, • 3+ years of experience designing and developing end-to-end, production grade ML systems, • 4+ years of experience working in a cloud environment such as GCP, AWS, Azure, • 3+ years of experience leading projects with at least 1 other team member through completion. #Hinge We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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 DescriptionAbout CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. About the Role We're hiring for an experienced ML-focused Data Scientist to own growth-oriented modeling across the customer lifecycle - acquisition, activation, retention, resurrection and monetization. You'll work alongside other data scientist to design, validate, and productionize statistical and ML systems (pLTV, churn/survival, uplift/incrementality, lookalikes, clustering/embeddings, NBA/ranking) that directly drive growth. This is a hands-on role for someone with strong mathematical/statistical foundations, broad modeling experience, and pragmatic MLOps chops who can lead experiments and partner closely with Marketing, Engineering, CRM, and Product. What you'll do… • Lifecycle modeling: Build and maintain predictive LTV, churn (including survival/time-to-event), order-rate, and resurrection models that feed acquisition, CRM, and retention strategies., • Acquisition & lookalikes: Create lookalike / propensity models for paid channels and audience construction; optimize CAC vs LTV tradeoffs., • Next-Best-Action & personalization: Develop NBA/ranking models, small-scale recommenders and embedding-based similarity systems to increase activation and orders., • Unsupervised & representation learning: Lead segmentation, clustering, embeddings and representation work that create actionable cohorts and features., • Production & MLOps: Own the full model lifecycle - training pipelines, CI/CD, model registries, containerized deployment, monitoring, retraining and drift detection; partner with engineers to operationalize models into CRM, marketplace and paid channels., • Model governance & reproducibility: Ensure models are well-tested, explainable, calibrated, and auditable; document assumptions, limitations and business mappings., • Cross-functional influence: Translate technical work into product recommendations, dashboards and clear narratives for Growth, Marketing and Engineering. Mentor peers and raise modeling and MLOps standards.Required qualifications, • 5-8+ years in data science, applied ML or statistics, with a track record of shipping production models., • Strong math & statistics: probability, inference, regression, survival analysis/time-to-event, causal reasoning, and familiarity with statistical modeling tradeoffs., • End-to-end ML experience: experience building, validating and deploying classification/regression/ensemble/deep models; comfort with embeddings and representation learning., • MLOps & production skills: pragmatic experience with model CI/CD, model registries (MLFlow or similar), containerization (Docker), orchestration (Airflow), and runtime infra (K8s / ECS)., • Software engineering & tooling: Python (pandas, scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow optional), strong code hygiene, testing and reproducibility., • Product & stakeholder collaboration: excellent communication, ability to embed with Growth/CRM/Marketing and translate models into product decisions., • Education: BS in a quantitative field required; MS/PhD in statistics, math, CS, economics or similar preferred.Nice-to-haves, • Experience in subscription marketplaces, food-tech, or consumer marketplaces., • Familiarity with feature stores, Snowflake/BigQuery, and production monitoring tools., • Experience with causal libraries (EconML), uplift frameworks, or survival modeling packages., • Prior work on small-scale recommender systems, embeddings, or NLP personalization. Learn More About CookUnity We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we're looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale. We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect! Benefits 🩺 Health Insurance coverage 🌅 401k Plan ⛱ Unlimited PTO 🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical 🐣 Paid Family leave 🕯 Compassionate Leave: 3-5 days each time the need arises 🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly 🧘🏽️‍♀️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle 👩🏾️‍🏫 Personalized Spanish coach 🌟 Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.Pay Range for this position$160,000—$185,000 USD If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. A quick note for all candidates We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us: • Apply only through our official channels. All open roles are listed on our official careers page: careers.cookunity.com, • Our recruiters are real people — and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page., • We only communicate through official CookUnity channels. That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: The Dating Outcomes group is responsible for ensuring that people see their most compatible matches, helping them present themselves more effectively, and start meaningful conversations when they match. In short, we help people go on great dates! We are hiring Senior Machine Learning Engineers to help us build the foundations of an AI first dating experience using the latest advancements in the field, leveraging Hinge’s years of preference data. You can expect to build recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models, as well as build and deploy real-time predictive models that directly impact the experience of millions of users. This is a fast-growing team, and you will have the opportunity to own and define the strategy, vision, and plan for accelerating machine learning at Hinge.Responsibilities • Own and contribute to foundational models that power our recommendations ecosystem., • Contribute to the research and development of models powering Hinge and experiment with the latest innovations in the field of Machine Learning (e.g., LLM agents, MMoE models, VAEs, etc.), • Design, advocate for, and implement solutions that ensure availability, scalability, operational excellence, and cost management, while delivering incremental impact to our daters., • Collaborate closely with other Machine Learning engineers, Product Managers, Data Engineers, and Scientists to understand our users' needs and identify opportunities to make their experience better through machine learning., • Mentor and educate Machine Learning Engineers on current and SOA research, technologies, and best practices of practicing machine learning at scale.What We're Looking For, • Strong programming skills: Proficiency in languages like Python, Java, or C++, • System design & architecture: Proven track record of training and deploying large scale ML models, especially DNNs. Good understanding of distributed computing for learning, data processing, and inference., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, Databricks, KubeFlow, or W&B is a plus., • ML knowledge: Deep understanding of DNN architectures, track record of building, debugging, and fine-tuning models. Familiarity with PyTorch, TF, knowledge distillation, and recommender systems is a plus., • DevOps skills: The ability to establish, manage, and use data and compute infrastructure such as Kubernetes and Terraform., • Data engineering knowledge: Skills in handling and managing large datasets, including data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation, • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 4+ years of experience, depending on education, as a Machine Learning Engineer., • 2+ years of experience working in a cloud environment, such as GCP, AWS, or Azure, and with DevOps tooling, including Kubernetes., • 2+ years of experience designing and developing online and production grade machine learning systems., • 1+ year of experience leading projects with at least 1 other team member through completion. #Hinge

Job Description Position Description A client of AlphaStaffHCM is seeking a motivated and enthusiastic Mechanical Engineer to join our dynamic engineering team. As a Mechanical Engineer, you will play a key role in the design, development, and testing of hardware components for our innovative projects. This position drives the mechanical design of server chassis for quantum photonic systems, the structural platforms that house, support, and stabilize quantum computing hardware ensuring precise integration of electronics, power distribution, cabling, cooling and optical components. This position offers a unique opportunity to be at the forefront of quantum technology, contributing to the advancement of groundbreaking solutions in the rapidly evolving field of quantum computing. If you are passionate about changing the world by empowering revolutionary new quantum technologies, we want to hear from you! Duties and Responsibilities • Closely work with engineering teams to review the product specification and design of chassis mechanical, thermal, system architecture to enable competitive, high quality server chassis products, • Support the development of several platforms based around classical and quantum photonics as a mechanical engineer., • Drive designs from concept to mass production, focusing on functionality, reliability, manufacturability and cosmetic requirements., • Create and publish detailed 3D CAD and 2D drawings for designs including GD&T, material selection and manufacturing methods., • Collaborate with external vendors and manufacturers to support product development, prototyping, and production readiness, • Cross-functional work with internal teams such as hardware, photonics, operations, and product managers to deliver products that meet performance, cost, and schedule requirements., • Participate in the prototyping and assembly of products and proof-of-concept models. Soldering work will be present., • Work closely with senior engineers to implement design changes and enhancements., • Maintain accurate documentation of design changes, test procedures, and project progress., • Prepare reports and presentations for detailed design reviews. Required Skills and Experience • Bachelor of Science (BS) or Master of Science (MS) in Mechanical Engineering, Product Design or related field from an accredited university., • Minimum 3-4 years of full-time experience in the design and correlation of mechanical components including: plastic or metal parts, mechanical assemblies, printed circuit boards or flexes., • Product development and management experience in server chassis mechanical, thermal, and system design, • Experience with server system architecture and server chassis layout optimization, • Experience in developing server product architectures and carrying through to production., • General technical knowledge in multiple manufacturing methods used in consumer products such as 3D printing, urethane casting, injection molding, sheet metal, CNC machining etc., • System integration experience, including electro-opto mechanical components (Optics, lens, Motors, Mirrors, translation stages etc.), heat transfer and product architecture, • Experience with using CAD tools such as Solidworks, NX or Creo, and PDM tools such as Solidworks PDM, Windchill (Solidworks and SolidworksPDM experience is preferred), • Familiar with product development cycles, • Experience working with manufacturing vendors and suppliers, • Ability to work in a startup environment., • Technical knowledge in general materials., • Able to lift weights up to OSHA limit (50 lbs.) when required (occasionally)., • Excellent problem-solving and analytical skills., • Excellent written and verbal communication skills., • Detail-oriented. Preferred Skills and Experience • Prior work on server chassis design or data center server hardware is highly valued, as it demonstrates familiarity with the unique challenges of complex system integration of optical, electrical, and mechanical components., • Experience with designing airflow paths, heat sinks, fans, or liquid cooling loops that keep cutting-edge systems within safe temperatures., • Strong understanding of compliance-driven design requirements, including EMI and ESD. Disclaimers: AlphaStaff, Inc. and the Client are equal employment opportunity employers and do not discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, past or present military service, disability, genetic information, or any other basis protected by applicable federal, state, or local laws.

Experience implementing API endpoints or at least data pipelines / workflows within Google Cloud Platform in Dataforms. Nice-to-have; Airflow, Vertex AI, GCP Dataforms. Hands-on experience with unstructured data pipelines and LLM integration for real-time inference.

Job DescriptionCLIENT HIGHLIGHTThe client you’ll be supporting is a Fortune 500 global leader in energy technology, focused on helping the world produce cleaner, more reliable power. Their teams design and improve the systems that keep homes, businesses, and communities running, from gas and wind turbines to the electrical grids that connect them. This is a chance to be part of a company that’s driving innovation, supporting sustainability, and shaping the future of energy. LOCATIONParsippany, New Jersey, United States of America, 07054 COMPENSATION $22-28 per hour SCHEDULEOnsite - 40 hours per week, 8 hours per day7:00 am to 3:30pm M-F CONTRACT TERM1 year with high likelihood of extension or conversion to full time employee. POSITION OVERVIEW – Quality Assurance (QA) Technician IThe Quality Assurance (QA) Technician I is responsible for inspecting machined components to ensure they meet engineering specifications, quality standards, and customer requirements within a precision manufacturing environment. This role involves performing first article, in-process, and final inspections using precision measurement tools such as micrometers, calipers, dial indicators, and other inspection equipment to verify dimensions and product quality. The technician will interpret technical drawings and written inspection instructions, document inspection results, and support production teams in maintaining consistent quality standards. The ideal candidate is detail-oriented, able to follow technical procedures, and comfortable working in a fast-paced manufacturing setting while maintaining a strong commitment to safety, accuracy, and teamwork. RESPONSIBILITIES • Inspect machined work pieces to ensure conformance to specification, • Interpret and follow written inspection instructions, quality requirements and customer specifications, • Measure dimensions such as length, height and distance between reference points, using precision instruments such as micrometer, caliper, dial indicator, optical comparator, X-Y-Z measuring equipment, X-ray to insure product meets specifications, • Locate reference point on part and measure dimensions, such as angle, arc and radii, using combination of aids, such as surface plate, angle plates, parallel bars, gauge blocks, V-blocks and precision measuring instruments, • Complete all necessary inspection forms and reports, • Inspect first run, in process and final parts, • Perform airflow tests, incoming and final inspections, • Perform, as assigned, other similar or related dutiesREQUIRED QUALIFICATIONS/SKILLS, • High School Diploma or GED equivalent, • Ability to lift/push/pull at least 50 pounds, with or without reasonable accommodation, • Ability to work occasional weekend shifts, • Ability to work overtime as required, • Willingness to wear personal protective equipment, for example: safety glasses, gloves, ear plugs, and safety shoes, • This role requires use of technical data subject to U.S. Government export restrictions and this posting is only for U.S. Persons (U.S. Citizens, lawful permanent residents and protected individuals (e.g., certain refugees and asylees)). The Client will require proof of status prior to employment.DESIRED CHARACTERISTICS, • Demonstrates positive attitude, strong work ethic, and self-motivation, • Experience in manufacturing preferred, • Reading Comprehension - Understanding written sentences and paragraphs in work related documents, • Ability to follow written instructions and take verbal instructions for multiple assembly tasks in a manufacturing shop environment., • Able to work with computerized shop floor tools, • Strong team player and flexible-willingness to move to different areas

Job Description VP Data Science As the VP of Data Science, you’ll play a critical role in building a data-driven culture and driving strategic initiatives. You’ll leverage a rich data-set built on a mature data pipeline that has captured millions of events a day over millions of users. You'll lead a nimble team that uses machine learning, predictive analytics, and engineering to partner with the product, marketing, operations & analytics to drive growth and further efficiencies. You'll be expected to creatively spearhead projects, possess the communication skills to collaborate with other teams, as well as the technical skills to deliver sophisticated projects from concept to production. What you'll do: · Ensure data best practices and play a critical role in building a data-driven culture throughout the entire organization · Be a technical leader and mentor for the data science team, helping institute best engineering practices (coding standards, automated testing, CI/CD, scalability) · Work with the leadership team in establishing a long-term vision for the company while building out a roadmap of data science development and applications · Conceive, develop, implement, and continually improve machine learning projects · Use your creativity and intuition to help find and solve the fun, challenging problems we work on every day · Influence the development of additional capabilities to deliver business outcomes through the use of automated algorithms on the platform · Work with stakeholders including the Executive, Product, Data and DevOps teams to assist with data-related technical issues and support their data infrastructure needs. · Manage and oversee an optimal data pipeline architecture · Manage and oversee the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies. · Keep our data separated and secure · Work with data and analytics experts to strive for greater functionality in our data systems · Work in a stack built primarily around Python, Airflow and AWS What we're looking for: · 10+ years in data science/machine learning experience · 5+ years of managing a team of data scientists and/or data engineers · Ability to combine traditional techniques and cutting-edge research to build innovative data-driven products · Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases · Experience in model deployment and scaling as well as deep learning networks · Experience building and optimizing ‘big data’ data pipelines, architectures and data sets · Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement · Strong analytic skills related to working with unstructured datasets · Build processes supporting data transformation, data structures, metadata, dependency and workload management · A successful history of manipulating, processing and extracting value from large disconnected datasets · Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores · Strong project management and organizational skills · Experience supporting and working with cross-functional teams in a dynamic environment · Experience with big data tools: Hadoop, Spark, Kafka, etc. · MS in Computer Science, Statistics, Engineering, or a related quantitative field

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Director, Engineering to join our Search team. This role will report to the Chief Technology Officer. The Search team owns our provider recommendations system, provider data aggregation pipelines, and our AI-powered member support systems. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. Relocation assistance is available for non-local candidates. What you will do: • Lead the development of a world-class Search system that organizes provider data in order to deliver relevant and impactful recommendations to our members, • Own and drive the execution of relevant quarterly deliverables and long-term strategy, • Collaborate closely with cross-functional teams to align strategies and achieve company objectives, • Provide leadership and guidance to your teams, fostering a culture of excellence, collaboration, and accountability, • Ensure your team proactively incorporates relevant new technologies, system designs, and strategies, especially in the domains of big data, ML, and AI, • Influence relevant partner teams in order to accelerate delivery across the organization, • Champion and ensure the privacy and security of our users' data, • Mentor, grow, and recruit Garner's next generation of engineering leadersThe ideal candidate has:, • 6+ years in software engineering, including 3+ years managing software or data engineering teams, • 1+ year managing engineering managers, • Experience operating production ML systems for user-facing use cases using modern ML platforms (e.g., SageMaker, Vertex AI, MLflow, BentoML, or similar), • Familiarity with feature engineering technologies, including DataFrame-based processing frameworks and feature stores used in production systems, • Familiarity with the production ML lifecycle, including how models are packaged, deployed, and iterated over time; model development experience is not required, • Familiarity with data engineering concepts that support ML-powered systems, including large-scale data processing and orchestration (e.g., Spark, Airflow, or similar) used to produce and maintain model features, • Experience with personalization, recommendation, or search systems preferred, • Ability to translate complex business needs into a clear, executable technical roadmap, • Experience working with regulated data; healthcare data standards (HIPAA, EDI) a plus, • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success, • Experience working in a rapidly evolving startup environment, • A desire to be a part of our mission to improve the U.S. healthcare system, • A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedbackTechnologies we use: