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NYSTEC is a nonprofit technology consulting company, advising agencies, organizations, institutions, and businesses since 1996. We're independent and vendor-neutral, so we have our clients' best interests at heart. At NYSTEC, we know that we succeed when individuals and teams flourish personally and professionally, so our benefits and perks support that mindset. As a business intelligence (BI) developer in the Business Intelligence department, you will collaborate with team members to create and refine datasets, dashboards, and reports that support decision-making across the organization. Serving as a BI developer, your day-to-day role will include managing data pipelines, validating data accuracy, and resolving issues that arise within the BI ecosystem. You will collaborate closely with analysts, finance, IT, and other teams to translate needs into technical solutions. • Develop, maintain, and optimize datasets, data models, and reports to support organizational decision-making., • Build and manage extract, transform, and load/extract, load, and transform (ETL/ELT) processes to ensure reliable data ingestion, transformation, and delivery across systems., • Validate data accuracy and troubleshoot issues with pipelines, models, and reports to maintain a high-quality BI environment., • Collaborate with stakeholders to gather requirements, translate business needs into technical solutions, and deliver user-friendly dashboards., • Monitor BI system performance, implement enhancements, and ensure adherence to data governance and security standards., • Document processes, data definitions, and system changes to support long-term sustainability and team knowledge sharing., • Provide ongoing support for existing reports and datasets, including maintenance, updates, and performance tuning., • Partner with analysts and other teams to enable consistent, accurate, and accessible reporting across the organization., • Expertise with reporting tools, software, and other applications., • Established experience as a BI developer, creating interactive reports, visualizations, and data modeling., • Advanced Query Languages: Structured Query Language (SQL), Data Analysis Expressions (DAX), and Power Query M., • Python Proficiency: Ability to write clean, efficient Python for data transformation, validation, and automation, including using libraries such as pandas, Python Apache Arrow (PyArrow), or Microsoft Fabric Lakehouse Application Programming Interfaces (APIs)., • Spark/Notebooks: Experience using Python Apache Spark (PySpark) and Microsoft Fabric/Spark notebooks to manipulate large datasets, create transformation pipelines, and support more scalable data engineering tasks., • Experience building and maintaining fabric data pipelines, dataflows Gen2, notebooks, and lakehouse tables., • Understanding of delta tables, medallion architecture, incremental refresh, and performance tuning., • Ability to troubleshoot data pipeline failures, refresh issues, schema changes, and data mismatches across multiple layers., • Excellent analytical reasoning skills to translate operational and financial processes into scalable, accurate data models., • Similar experience in Google, Amazon Web Services (AWS), or Microsoft Azure Cloud is qualified., • Advanced Microsoft Fabric experience., • Kusto Query Language (KQL) for fabric real-time intelligence and telemetry analysis., • Exposure to Microsoft Azure services, such as Azure Data Factory, Azure SQL, or Data Lake Storage., • Understanding of security models (role-based access control [RBAC]), data governance, and compliance frameworks., • Microsoft Fabric Analytics Engineer certification (in progress or completed)., • A bachelor's degree in computer science, information technology/systems, finance/accounting, math/statistics, or a similar discipline, and five years of related experience, including experience with writing reports and analyzing technical requirement modes. It is NYSTEC's policy to provide equal employment opportunity (EEO) to all individuals, regardless of actual or perceived race, color, creed, religion, sex, or gender (including pregnancy, childbirth, and related medical conditions), gender identity or gender expression (including transgender status), age, national origin, ancestry, citizenship status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, military service and veteran status, sexual orientation, marital status, or any other characteristic protected by local, state, or federal laws and ordinances. NYSTEC is strongly committed to this policy and believes in the concept and spirit of the law. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact ___ if you require a reasonable accommodation to apply for or to perform this job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future. Learn more about NYSTEC by visiting ___. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

We are seeking a senior, hands-on Enterprise Applications Engineer to serve as the technical owner and Tier-3 escalation point for our Shopify Plus ecommerce platform and its integrations with enterprise systems. This role will lead the Salesforce Commerce Cloud to Shopify Plus replatform from an integration and interoperability standpoint, then transition into senior ownership, cross-training, and escalation support across the enterprise application landscape. About the Role Senior technical ownership of the Shopify Plus implementation, including all enterprise integrations. Responsibilities • Shopify Plus Implementation & Ownership, • Serve as senior technical owner for the Salesforce Commerce Cloud ? 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., • Enterprise Integrations & Ongoing Support, • 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., • Data, BI & Analytics Partnership, • 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., • Team Enablement & Escalation, • 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., • Preferred Qualifications, • 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 model Role Clarifiers: This is not a frontend or Shopify theme/Liquid-only role. This is not a helpdesk or Tier-1 support role. This is an individual contributor role with no people management responsibilities. Equal Opportunity Statement We are committed to diversity and inclusivity.

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.

WHO WE ARE Crossmedia is the global media independent. We’re committed to doing media and business the right way, guided by the principles of TRUST, REASON and the pursuit of HAPPINESS. Crossmedia US was founded in NY in 2000 and is one of the largest minority-owned full-service media planning & buying agencies in the nation. We are 500+ Crossmedians worldwide with big ambitions to continue to grow with soul. We focus on what media agencies should do: create innovative connections between brands and people regardless of channel or budget. And we do it in an honest way. We are and always have been a values-based organization. We earn our clients TRUST by ensuring media transparency in our business model and objectivity in decision-making. We apply REASON & logic to finding solutions to our clients' greatest business challenges. The Pursuit of HAPPINESS matters to us. Big time. We invest in each colleagues’ professional & personal wellbeing and growth. It’s why we have countless initiatives, clubs & cultural events dedicated to our people and why we have been the top ranked media agency named to Ad Age’s Best Places to Work for the past seven years in a row. We have offices in the US in New York and Philadelphia, with employees across 25+ states, as well as in London and Germany. Our client roster includes U.S. Bank, Invesco, Newell Brands, NASCAR, Planet Fitness, American Cancer Society, Ricola, Herschend Family Entertainment, Edible Arrangements and more. YOUR ROLE We’re hiring an Executive Assistant to support select members of our Executive Leadership Team (ELT). The role covers administrative functions as well as on-site meeting & event support in collaboration with our Operations team. This position is based in the NY office. While we offer a hybrid work setting, due to the nature of the role, there is an expectation of in-office presence most of the time (4 days a week) and when needed for executive or event support. The Executive Assistant ensures our executives maintain the strategic mindset vital to a growing agency. The ideal candidate has the organizational talents to keep calendars aligned, travel smooth, minutiae handled and the right information prioritized so that our leaders can focus on the broader agency vision. RESPONSIBILITIES • Enhance the efficiency & focus of assigned ELT member(s) to ensure that agency goals are accomplished, and the company operates in a manner true to our values (or as we say - Scale with Soul), • Proactively manage complex schedules & coordinate meetings across domestic & international time zones and internal & external parties, • Manage travel arrangements including transportation, lodging and any related advance coordination (e.g. local information detail, itineraries, etc.), • Manage executive communications including filtering & prioritizing incoming information & requests, drafting client & vendor correspondence, contact management and liaising with various internal executives & group leaders as needed, • Assist with executive meetings including booking conference rooms, food & beverage, IT & other appropriate resources, • Handle executive documentation needs (e.g. expenses, timesheets, internal processes) and ensure timely submission & compliance, • Monitor executive communications as needed during off-hours, including occasional weekend check-ins, to ensure urgent matters are addressed in a timely manner, • Maintain professionalism and strict confidentiality with all materials & conversations, • Support on-site/off-site agency meetings & events in collaboration with the XM Operations team, • Ad hoc projects & requests as appropriate REQUIREMENTS • Four or more years of experience in an administrative role reporting directly to upper management, • Resourceful, proactive and can problem-solve quickly, • Extremely organized, detail-oriented and able to anticipate executive needs, • Advanced time-management skills, able to multi-task and coordinate multiple concurrent projects, • Collaborative and team-oriented, • Excellent written and verbal communication skills, • Savvy with computer skills including Microsoft Word, PowerPoint, Excel, Outlook and experience with Smartsheet is a plus, • AI experience and capabilities --, • Use AI tools to streamline emails, documents, and presentations, • Manage calendars, meetings, and projects with smart automation, • Support leadership with research, reports, and actionable insights CROSSMEDIA BENEFITS Our principles of Trust, Reason, and the Pursuit of Happiness are brought to life through benefits that recognize and support the diversity and physical, emotional, and professional well-being of our people, including: • Flexibility to work in hybrid manner with in-office and work from home options (depending on role)., • Open/Flexible PTO with US & UK specific policies, • Sponsored healthcare options and agency-wide physical & mental health support, • 401k with company match (USA), and generous Pension (UK), • Paid sabbatical at significant milestone anniversaries, • Generous paid parental leave policy, • Life milestone recognition & support, • The Pursuit of Happiness Fund devoted to helping Crossmedians find their happy (be it travel, enrichment class, fitness membership or professional development), • Cell phone/tech reimbursement, • Student Loan payment plan (US), • Tuition reimbursement, • Learning & Development and training programs, • And burgers – lots and lots of burgers COMMITMENT TO DIVERSITY AND INCLUSION Diversity is in our DNA. As a minority-owned company, our commitment to an inclusive environment has long been embedded into agency practices and at every level. Almost one third of senior leadership identifies as a person of color and over half of our executive leadership are women. We have active mentoring & internship programs that create opportunities for underrepresented groups. Internal agency programming is anchored by XMEquity365, a permanent, year-round initiative fostering acknowledgement and support of marginalized communities within five pillars – Excellence, Voices, Education, Giving & Representation.

Position Title: Retail Media Strategy Manager – Face & Skin Brands Location: NJ Remote Job Type: 8 months position through end of 2026 Evermark is a newly formed beauty and personal care company bringing together a portfolio of iconic, everyday brands with enormous reach and untapped potential: Suave, ChapStick, Q-tips, Caress, St. Ives, TIGI Bed Head, Noxzema, Pond’s, Lever 2000. These are brands people know, trust, and use daily - and we are building their next chapter. Backed by a growth-oriented YellowWood Partners, we operate with speed, focus, and accountability. Our goal is simple: modernize these brands, accelerate growth, and build a company that consistently outperforms expectations. That means sharpening strategy, raising the bar on execution, and making smart, decisive moves across the enterprise - from how we plan and operate to how we go to market. This is a company in motion. We are scaling quickly, building new capabilities, and creating the operating model as we go. For the right people, that means rare access, real influence, and the opportunity to help shape not just a role, but a company. Position Overview We are looking for a highly organized, data driven Retail Media Strategy Manager eager to accelerate their career in the digital industry by managing the retail on-site media strategy for our Face & Skin brands: Pond’s, Noxzema, St-Ives and Carress. In this position, you will play a critical role in driving our growth primarily on Amazon, Walmart.com and Target.com. You will be responsible for designing the media strategy, monitoring the performance and the budget spend on search ads on our retail partner’s websites. You will have to report back on the KPIs to the brands teams as well as the executive lead team. Finally you will help plan the 2027 retail media budget, based on the performance of this year’s strategy. This role requires prior hands-on experience working with agencies in building media strategy, overseeing the campaign executions and optimizations across Amazon ads, Walmart ads and Target ads. You will need to demonstrate high attention to detail, excellent time management and strong interpersonal skills to effectively collaborate with stakeholders and manage 3rd parties. A successful Retail Media Strategy Manager is highly analytical, organized with the ability to influence and be agile in a fast and ever-changing startup environment. Key Responsibilities: • Campaign monitoring & optimization, in collaboration with the agency:, • Update retail media performance tracker weekly, • Monitor & optimize bids based on performance, • Adjust product priorities based on new item launches & seasonality (i.e Holidays), • Creating monthly reports on retail media for ELT, • Quarterly in person reviews, • Budget Governance, • Create & manage POs in business central, • True up marketing budget tracker monthly for financial planning, • Manage allocation of incremental budget carried over, • Build the annual retail media budget reco based on front half 2025 performance & innovation pipeline, • Digital Shopper Media execution, • Lead creative development for Home Page Takeovers at Family Dollar, • Lead creative strategy with marketing team to support DoorDash campaigns, • Develop briefs for in-store audio activations at DG, • Retail Media Budget Planning, • Build the 2027 retail media budget recommendation based on 2026 performance & innovation pipeline Requirements • Bachelor’s degree in Business, Merchandising, Marketing, Sales, Ecommerce, and/or related field, • 3+ years of years of direct and hands-on experience managing an Retail Media strategies for CPG brands, media purchasing experience a plus., • Knowledge of Amazon Ads portal, Walmart Media Connect portal, Target RMS and Instacart in a must, with TikTok Shop a plus, • 3+ years in eCommerce execution, with a strong understanding of brand management across multiple functions (advertising, demand planning, content creation, listing optimization, and SEO)., • Strong analytical skills regarding to measure all media KPIs and correlate with POS outcomes., • Agency management experience required. Lead agency partnership on responsibilities above, • Proven track record of coordinating cross-functional teams and managing complex projects., • Strong financial acumen with experience managing P&L (Net Sales, Gross Margin & Contribution margin), • Superior quantitative and analytical skills, including use of analytical tools and basic retail math, • Proficient with Microsoft Suite, especially Excel, • Experience with eCommerce tools such as Pacvue Commerce, Stackline, Helium 10 are a plus., • Outstanding interpersonal skills, including strong written & verbal communication skills, • Demonstrates strong sense of ownership, future-forward thinking and proactively identifies opportunities, • Embodies can-do attitude, willing to roll up their sleeves and pro-active in finding solutions through out of the box thinking, • Excellent organizational skills, ability to multitask, and work effectively in a fast-paced environment., • Ability to operate both independently and collaboratively with cross-functional teams, • Thrives in a fast-paced environment, flexible to pivot with competing priorities and provide timely crisis management, • Comfortable retrieving and comprehending data to inform decisions and recommendations, • Effective project management skills, supremely organized and detail-oriented, • Innately curious, constantly seeking information and answers, • Driven to solve problems and move quickly, propensity for action People Who Thrive Here We look for people who take ownership, move with urgency, and care deeply about results. Across every level and function, success here comes from thinking like an operator; not waiting to be told what to do but seeing what needs to happen and driving it forward. The individual must be comfortable working across teams, influencing without hierarchy, and making progress even when the path isn’t perfectly defined. This is a fast-moving environment with high standards and real accountability. In return, you’ll have meaningful responsibility, autonomy to lead your work, and the opportunity to grow alongside brands, and a company, that are being actively shaped.

As a Data Science/Data Engineer Intern, you will work on cutting-edge analytical and data engineering projects that drive measurable business impact across pricing, underwriting, marketing, and claims. This internship is ideal for a technically curious, motivated problem-solver who wants hands-on data science experience. RESPONSIBILITIES • Support the design, construction, and optimization of robust data pipelines to enable machine learning and analytical modeling., • Contribute to the design and implementation of data and ML workflows using orchestration tools such as Dagster, Airflow, or similar frameworks., • Help implement data quality checks, validation routines, and monitoring for automated data workflows., • Assist in organizing and managing internal GitHub repositories to standardize ML project structures and best practices., • Collaborate with data scientists and engineers to automate the ingestion, transformation, and delivery of data for model development., • Contribute to initiatives migrating analytical processes into cloud-based data lake architectures and modern platforms such as AWS or Snowflake., • Develop reusable and well-tested code to support analytical pipelines and internal tools using Python and SQL., • Conduct data mining, cleansing, and preparation tasks to build high-quality analytical datasets., • Participate in model development, including data profiling, model training, validation, and interpretation., • Build and evaluate predictive models that enhance profitability through improved segmentation and estimation of insurance risk., • Assist in studies evaluating new business models for customer segmentation, retention, and lifetime value., • Collaborate with business leaders to translate insights into operational improvements and cost efficiencies. QUALIFICATIONS • Currently pursuing or recently completed a Master’s in Data Science, Computer Science, Statistics, Economics, or related field., • Proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, or PyTorch) and SQL., • Understanding of data engineering concepts, ETL/ELT workflows, and machine learning deployment., • Exposure to workflow orchestration tools (e.g., Airflow, Dagster, Prefect) and Git/GitHub for collaborative development., • Familiarity with Docker, CI/CD pipelines, and infrastructure-as-code tools such as Terraform preferred., • Knowledge of AWS cloud services such as S3, Lambda, EC2, or SageMaker a plus., • Experience with common modeling techniques (e.g., GLM, tree-based models, Bayesian statistics, NLP, deep learning) through coursework or projects., • Strong analytical, communication, and problem-solving skills., • A self-starter mindset, with attention to detail and enthusiasm for learning new technologies. SALARY RANGE The pay range for this position is $35 hourly. ABOUT THE COMPANY The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent."

Job Description: We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large. About the Role: Wiley is executing a focused portfolio transformationthrough M&Ato accelerate its evolution as a research and learning company. The Director, Finance M&A is a newly created role within FP&A, to give that agenda the dedicated capacity and business partnership it requires. The role partners closely with commercial and operational leaders to align on revenue assumptions, growth drivers, and synergy commitments, translating these discussions into robust, financially sound transaction analyses. It requires credibility and influence across Corporate Development, the business units, and the operational teams ultimately responsible for delivering synergies. This is a highvisibility, executionfocused role with direct exposure to the CFO, CEO, ELT, and external stakeholders, offering a clear development path toward senior leadership within FP&A or Corporate Development. The role reports to the SVP of FP&A. Job Responsibilities: Transaction Analysis & Business Partnering • Lead financial analysis for acquisitions, divestitures, and strategic partnershipsonbuy-side and sell-side, • Own the Finance workstream during due diligence: quality of earnings, working capital, synergy modeling, and integration/separation cost estimation, • Partner with business and operational leaders to develop and pressure-test revenue assumptions, growth drivers, and synergy targets ensuring financial models reflectproper valuation, • Collaborate closely with Corporate Development, bringing FP&A's proximity to internal data, business context, and financial planning processes to improve deal evaluation FP&A M&A Integration • Own hypotheticalM&Ascenario planning end-to-end, relieving capacity pressure on the broader FP&A team, • Translate active and pending transactions into the operating financial plan: carve-outs, integration budgets, stranded cost analysis, and pro forma modeling, • Maintain a live deal pipeline tracker with financial context, updated for leadership review on a regular cadence Post-Close Financial Integration • Own post-close financial integration, working within FP&A to establish reporting structures, chart of accounts alignment, and financial process setup for newly acquired or divested businesses, • Oversee all traditional post close activities includingbut not limited tosynergy realizationand integration cost commitments, • Serve as the financial integration lead across Finance, Accounting, Treasury, and Tax during the post-close period Capital Allocation & Reporting • Develop financial frameworks to evaluate portfolio composition, ROIC, and capital deployment across inorganic activity, • Support CFO, FP&A, and Investor Relations with M&Arelated financial narrative for earnings, Board materials, and management presentations, • Contribute to Finance Transformation objectives building a repeatable, disciplined M&A finance playbook that institutionalizes best practices across the team Team & Resource Management • Manage contingent and/or offshore analyst support to flex capacity with deal activity, • Build and advance due diligence templates, integration checklists, and scenario planning frameworks that make the broader FP&A team more effective over time Required Qualifications: • Proven experience in investment banking, corporate development, FP&A, or a dedicated M&A finance function, • Demonstrated experience contributing to financial due diligence on buy-side and/or sell-side transactions, with particular emphasis on business partnering and assumption development alongside modeling, • Experience working across commercial and operational functions to align on synergy targets and integration plans is strongly valued, • Post-close financial integration experience is a plus but not required, • Industry background in publishing, technology, information services, data/analytics, or SaaS preferred but not required, • Strong financial modeling and valuation skills: DCF, accretion/dilution, synergy builds, working capital and quality of earnings analysis., • Fluency in separation accounting, carve-out financials, and stranded cost modeling, • Exceptional business partnering skills able to engage credibly with commercial and operational leaders and translate qualitative business insight into financial assumptions, • Clear, direct communicator who can synthesize complex analysis for the CFO, CEO, andELT Preferred Qualifications: • 7+ years in investment banking, corporate development, FP&A, or a dedicated M&A finance function. We power infinite possibilities. For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing-creating impact that reaches everywhere. We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives. Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything. Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact for assistance. We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow. We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the United Kingdom, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies. When applying, please attach your resume/CV to be considered. Salary Range: 139,300 USD to 204,233 USD#LI-JG1 Job Posting Title: Director of Finance - M&A Location: Hoboken (HQ), NJ, USA

About Diversified: Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back. What to Expect: At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you. As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion. IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED. How You'll Contribute: The Senior Microsoft Fabric Data Engineer is responsible for architecting, implementing, and optimizing enterprise-scale data solutions using the Microsoft Fabric platform. This role designs modern lakehouse and warehouse architecture, integrates operational systems via Synapse Link, and helps to ensure strong data governance and compliance through Microsoft Purview. This role partners closely with analytics teams and business stakeholders to deploy features that support advanced reporting, self-service analytics, and AI-driven insights. What You'll Do: • Design and implement enterprise data solutions using Microsoft Fabric, including Lakehouse, Warehouse, Dataflows Gen2, Pipelines, Notebooks, MS Graph, and Real-Time Analytics., • Develop medallion or similar data architectures within OneLake., • Optimize performance, cost, and scalability across Fabric workloads., • Establish CI/CD processes and DevOps practices for Fabric deployments., • Integrate source systems (ERP, CRM, operational databases) using Fabric, Synapse Link, MDMs, and other ingestion frameworks., • Build and maintain robust ETL/ELT pipelines using Fabric Data Factory capabilities., • Design dimensional and semantic models to support PowerBI and enterprise analytics., • Implement enterprise data governance using Microsoft Purview, including data cataloging and lineage, classification and sensitivity labeling, and policy enforcement and access controls (eg., RBAC)., • Ensure regulatory compliance (eg., GDPR, SOC 2)., • Monitor and optimize system performance, reliability, and availability. Establish logging, alerting, and observability practices., • Support incident response and root-cause analysis for production workloads., • Translate business requirements into technical architecture., • Collaborate with analytics, BI, data science, and application development teams. What You'll Bring: Education/ Certifications: • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent education and experience). Required Skills/Qualifications: • 5+ years of experience in data engineering, data warehousing, or analytics engineering., • 2+ years of hands-on experience with Microsoft Fabric., • Experience designing lakehouse architectures at enterprise scale., • Proficiency in SQL, Python, Spark, etc., • Experience deploying and managing Microsoft Purview for governance and lineage., • Understanding of Azure identity and security (Azure AD/Entra ID, RBAC, managed identities, security principals)., • Understanding of Azure/Fabric billing and utilization analysis., • Experience with CI/CD pipelines (Azure DevOps or GitHub Actions)., • Strong analytical and problem-solving skills. Preferred Skills/Qualifications: • Microsoft certifications (e.g., Fabric Analytics Engineer Associate, Azure Data Engineer Associate)., • Experience with Synapse Link., • Experience with DataBricks, • Experience with MDM platforms (esp. Profisee)., • Experience leveraging data assets from various systems including Microsoft Dynamics 365, PowerBI, SharePoint, Smartsheet, ConnectWise, ExperLogix, D-Tools, ServiceNow, • Experience integrating streaming or near real-time data workloads., • Familiarity with PowerBI semantic models and enterprise BI governance., • Experience implementing data quality frameworks and metadata-driven pipelines., • Knowledge of Delta Lake and open table formats., • Master's degree in a quantitative or technical discipline. What We Offer: Along with competitive compensation, you will be eligible for the following benefits: • Multiple medical plan options to suit your family's needs, • Dental (including orthodontic coverage) and vision plans, • Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP), • Healthcare and Dependent Care Flexible Spending Accounts (FSA), • 401k with Employer Match, • Paid Time Off and Paid Holidays, • Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services, • Commuter Benefits Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered. If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact so we can assist you. Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

The application window is expected to close on: 05/01/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Operations Manager - Executive Protection, Insider Threats, Intellectual Property Meet the Team The Global Executive Protection (GEXP) team primarily supports the security of the CEO and Executive Leadership Team at Cisco. We are Executive Protection professionals that work on the premise of making the unknown known, to ensure to the best of our abilities, the successful completion of each detail and protective coverage of the CEO/ELT. GEXP is part of the Security and Trust Organization. The Role The Global Security & Executive Protection (GS&EP) team is seeking an Operations Manager for our Executive Protection (EP) team to serve as the operational backbone behind the safety, efficiency, and readiness of GS&EP's protective services for Cisco's Executive Leadership Team. This role blends financial acumen, complex logistics, and high-trust interpersonal skills. Conflicts of Interest regarding Outside Employment Due to the nature of this role, individuals hired into the Executive Protection Agent position may be restricted from engaging in outside employment that involves executive or personal protection services, particularly if the activity creates a conflict of interest, interferes with required availability, or could compromise the safety, security, or interests of Cisco or its protectees. Any outside employment must comply with Cisco's conflicts of interest policies and may require prior review and approval. Your Impact As an Operations Manager for GS&EP, you will work closely with Executive Protection (EP) Agents, Corporate Finance, Leadership, and external partners to ensure seamless, discreet, and cost-effective operations worldwide. In this role, you will be working in an agile, fast-paced, and collaborative environment to: • Oversee day-to-day support operations of the EP program, • Develop and maintain operational support plans for domestic and international executive travel, events, and special assignments, • Own forecasting and ensure projected spend stays aligned with approved budget, • Track EP needs and costs related to logistics, travel, equipment, and vendors, • Support EP personnel through scheduling, resource planning, and training coordination Required Qualifications: • Bachelor's Degree in Business, Security Management, Finance, Operations or a related field, • 8-10 years of experiencein operations management, security operations, military/law enforcement support roles, or a similar environment, • Experience managing budgets, forecasting, financial reporting, suppliers, and procurement processes., • Excellent interpersonal and communication skills, with the ability to build trust at all levels of the organization, • High levels of discretion, integrity, and professionalism Desired Qualifications • Experience supporting executive protection or high-profile individuals, • Familiarity with global travel security, risk management, or crisis response, • Experience working in a large, matrixed, global organization At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. The starting salary range posted for this position is $174,000.00 to $232,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours ofunused sick timecarried forwardfrom one calendar yearto the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $174,000.00 - $273,900.00 Non-Metro New York state & Washington state: $161,100.00 - $235,300.00 • For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

We're adding to our diverse team of experts and are looking to hire those who are committed to building a culture that enables the creation of innovative solutions for our business units and clients. We will consider a range of experience for this role and the offer will be commensurate with that. The Company As a member of Munich Re's US operations, we offer the financial strength and stability that comes with being part of the world's preeminent insurance and reinsurance brand. Our risk experts work together to assemble the right mix of products and services to help our clients stay competitive - from traditional reinsurance coverages, to niche and specialty reinsurance and insurance products. Job Overview: We are seeking a highly skilled Senior Data Engineer - DBX Platform (ML & Feature Engineering Focus) with a strong software engineering background to join our AI/ML Engineering GSI IT Team. In this role, you will be focused on building a DBX-based data platform that powers machine learning and advanced analytics. This role is ideal for someone who thrives at the intersection of data engineering, ML infrastructure, and software development, and is passionate about enabling scalable, production-grade feature engineering pipelines. Key Responsibilities: • Build and optimize DBX ETL/ELT pipelines for feature extraction, transformation, and loading from structured and unstructured data sources., • Collaborate with ML engineers, data scientists, and software developers to deliver reliable, reusable, and versioned feature sets., • Implement CI/CD pipelines, testing frameworks, and observability for data workflows., • Develop feature stores, metadata tracking, and lineage tools to support data Ops., • Ensure data quality, governance, and compliance across all data assets., • Optimize performance and cost-efficiency of DBX clusters and jobs for data workloads., • Contribute to the architecture and design of the data platform and feature engineering framework. Qualifications: • Strong proficiency in Python and relevant scripting languages, with experience in software development and scripting for DBX., • Expertise with libraries and frameworks (e.g., Pandas, Numpy, Scikit-Learn, TensorFlow, PyTorch, DBX, MLFlow, dvc, dbt) and the ability to select the right tools for the use case., • Experience building inference endpoints (APIs) and managing compute architecture for efficient model inference and data handling., • Very good Azure and data & AI technology skills - specifically: DBX/ Python, Azure DBX Store, Azure AI Search., • Experience with DevOps practices, including Git, CI/CD using tools such as Azure Pipelines, or similar., • Several years of experience in machine learning, data science, or a related field, with a strong understanding of statistics and data analysis., • Experience with Azure especially with data and ML services, containerization (Docker. Preferred Qualifications: • Advanced Degree: Master's degree in Computer Science, Engineering, Mathematics, with 5+ years of ML implementation experience or Ph.D. with 2+ years of hands-on ML Project experience., • Experience with Big Data: Strong proficiency with big data technologies such as Azure DBX and Spark., • Leadership Experience: Previous experience leading a team of data scientists or engineers. Benefits: • Competitive employee benefits, including comprehensive health insurance, dental and sports coverage, and opportunities for certified training., • Flexibility in work arrangements, including home office options and flexible working hours., • A positive, team-oriented environment that fosters mutual trust, creativity, and initiative., • Opportunities for career growth within a global, innovative framework., • A diverse, multicultural workplace with a strong emphasis on team collaboration and professional development. At Munich Re US, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The Company is open to considering candidates in Princeton, NJ. The salary range posted below applies to the Company's Princeton location. The base salary range anticipated for this position is $104,200 - $152,800 plus opportunity for company bonus based upon a percentage of eligible pay. In addition, the company makes available a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO). The salary estimate displayed represents the typical salary range for candidates hired in this position in Princeton. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to other employees already in this role. Most candidates will start in the bottom half of the range. ___ Save job

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: As an individual contributor on the Product team, you will pay a critical role in contributing to the success of Capital Rx. The Capital Rx Product team seeks individuals who are passionate about improving the landscape of pharmacy prior authorizations, while providing superior service. The expectations for growth in this role are to push beyond the core data and reporting and to serve as an expert across all domains of Judi, our Enterprise Health Platform. Position Responsibilities: • Provide subject matter expertise support on Judi's function and reporting capabilities related to prior authorization, • Take accountability for accurate translation of reporting requirements for Capital Rx's customers, • Support analytics and reporting needs for the prior authorization team and related groups, • Own swift resolution and clear communication of critical reporting issues, • Present analysis results clearly, • Assist in testing of new Judi functionality to ensure enhancements are functioning as expected and accurately processing claims transactions, • Build key cross-functional relationships with other internal teams, • Provide virtual and in person product demonstrations, • Note: Role may periodically require meeting participation, service support or other requirements outside of standard business hours Minimum Qualifications: • Bachelor's degree, with record of strong academic performance in Computer Science, Actuarial Science, Statistics, or Economics or equivalent work experience strongly preferred, • 2+ years of proven experience in data analytics and reporting required, • 2+ years of experience in Structured Query Language (SQL) required, • 2+ years of experience with ETL or ELT preferred, • 2+ years of PBM, pharmacy, health plan, or related experience preferred, • 1+ years working with JSON or other data-exchange format tools preferred, • 1+ year of Python, R, or similar programming experience preferred, • Experience presenting analysis to clients and/or management preferred, • Proficient in Microsoft Excel, • Extremely organized, detail-oriented, and able to easily pivot priorities, • Ability to work effectively with virtual teams 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 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___.

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___.

General Job Title: Property Risks Senior Catastrophe Analyst -Complex Risks Division: Exposure Management Reports To: As per Beazley's organisation chart Key Relationships: Exposure Management, Property Risk Underwriters, Pricing, Capital Modelling Team, Ceded RI Team Job Summary: Provide Natural Catastrophe Expertise to assist with complex modelling such as Parametric Reinsurance and Alternative Risk Transfer (ART), supporting Catastrophe Modelling Quoting, Bound risk entry and monthly portfolio roundup. Key Responsibilities: • Collaborate with Actuarial Pricing to Provide Natural Catastrophe output and support for Alternative Risk Transfer (ART) quotes, • Provide Natural Catastrophe expertise support for maintaining appropriate tools to Price Parametric products, • Create Moody's (ex RMS) ELT output for Group wide Reporting output for Complex Risks, • Collate complex accounts for monthly roll up process and monitoring of Risk appetites, • Provide data to underwriters to assist in pricing and portfolio optimisation, • Assist in the reporting for external stakeholders and regulatory reporting such as Lloyd's Realistic Disaster Scenario Returns, • Presentation of data to underwriters and management in an easily digestible format, • Assist with ad hoc data requests, • Maintain all process documentation, • Interact with underwriting support functions, including data management, pricing, capital modelling, ceded reinsurance, claims, risk management and compliance., • Provide SQL reporting assistance, • Provide skilled expertise on Complex modelling accounts to train Catastrophe Modellers. Personal Specification: Education and Qualifications • ___Educated to 'A' Level or equivalent, • Graduate with a degree from any discipline, • Minimum 5 years Moody's RMS or equivalent cat model experience Skills and Abilities • Accurate and numerate with attention to detail;, • Computer skills - good working knowledge of MS Office, advanced Excel skills;, • Strong analytical skills with attention to detail;, • Able to communicate effectively with others, both verbally and in writing;, • Ability to manage time, meet deadlines and prioritise;, • Motivational skills;, • Ability to work in a matrix management structure;, • Team worker as well as able to work on own initiative. Knowledge and Experience • Commercial Property Insurance experience, • Strong computer skills - Advanced Excel, VBA, SQL, R Studio, Power BI, • Expert knowledge of Parametric Insurance products, • Moody's RMS Intelligent Risk Platform ___Aptitude and Disposition • Outcome focused, • Self-motivated, • Flexible and enthusiastic, • Professional approach to successfully interact with internal and external clients. Competencies • Self-Starter, • Integrity, • Customer Focus, • Resilience, • Technical Competence/expertise, • Concern for Quality and Accuracy, • Team Work, • Impact and Influence, • Conceptual Thinking, • Initiative, • Minimum 5 years Moody's RMS or equivalent cat model experience, • Commercial Property Insurance experience, • Strong computer skills - Advanced Excel, VBA, SQL, R Studio, Power BI, • Expert knowledge of Parametric Insurance products Who We Are: Beazley is a specialist insurance company with over 30 years' experience helping people, communities and businesses to manage risk all around the world. Our mission is to inspire our clients and people with the confidence and freedom to explore, create and build - to enable businesses to thrive. Our clients want to live and work freely and fully, knowing they are benefitting from the most advanced thinking in the insurance market. Our goal is to become the highest performing sustainable specialist insurer. Our products are wide ranging, from cyber & tech insurance to marine, healthcare, financial institutions and contingency; covering risks such as the weather, film production or protection from deadly weapons. Our Culture We have a wonderful mix of cultures, experiences, and backgrounds at Beazley with over 2,000 of us working around the world. Employee's diversity, experience and passion allow us to keep innovating and moving forward, delivering the best. We are proud of our family-feel culture at Beazley that empowers our staff to work from when and where they want, in an adult environment that is big on collaboration, diversity of thought and personal accountability. Our three core values inspire the way we work and how we treat our people and customers. • Be bold, • Strive for better We are a flexible and innovative employer offering a friendly, collaborative, and inclusive working environment. We actively encourage and expect applications from all backgrounds. Our commitment to fostering a supportive and dynamic workplace ensures that every employee can thrive and contribute to our collective success. Explore a variety of networks to assist with professional and/or personal development. Our Employee Networks include: • Beazley RACE - Including, understanding and celebrating People of Colour, • Beazley SHE - Successful, High potential, Empowered women in insurance, • Beazley Proud - Our global LGBTQ+ community, • Beazley Wellbeing - Supporting employees with their mental wellbeing, • Internal Pathways (helping you grow into an underwriting role), • iLearn (our own learning & development platform), • LinkedIn Learning, • Mentorship program, • External qualification sponsorship, • Continuing education and tuition reimbursement, • The opportunity to connect and build long-lasting professional relationships while advancing your career with a growing, dynamic organization, • Attractive base compensation and discretionary performance related bonus, • Competitively priced medical, dental and vision insurance, • Company paid life, and short- and long-term disability insurance, • 401(k) plan with 5% company match and immediate vesting, • 22 days PTO (prorated for 1st calendar year of employment), 11 paid holidays per year, with the ability to flex the religious bank holidays to suit your religious beliefs, • Up to $700 reimbursement for home office setup, • Free in-office lunch, travel reimbursement for travel to office, and monthly lifestyle allowance, • Up to 26 weeks of fully paid parental leave, • Up to 2.5 days paid annually for volunteering at a charity of your choice Don't meet all the requirements? At Beazley we're committed to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every requirement and qualification in the job specification, we encourage you to apply anyway. You might just be the right candidate for this, or one of our other roles. We are an equal opportunities employer and as such, we will make reasonable adjustments to our selection process for candidates that indicate that, owing to disability, our arrangements might otherwise disadvantage them. If you have a disability, including dyslexia or other non-visible ones, which you believe may affect your performance in selection, please advise us in good time and we'll make reasonable adjustments to our processes for you.

Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs.

Implement ETL/ELT pipelines and data architectures that support machine learning, analytics, and intelligent agent-based applications. Maintain technical documentation for AI architectures, data pipelines, infrastructure configurations, and operational runbooks. AWS networking: VPC, subnets, NACLs,

Job Description WHO WE ARE Crossmedia is the global media independent. We're committed to doing media and business the right way, guided by the principles of TRUST, REASON and the Pursuit of HAPPINESS. Crossmedia US was founded in NY in 2000 and is one of the largest minority-owned full-service media planning & buying agencies in the nation. We are 500+ Crossmedians worldwide with big ambitions to continue to grow with soul. We focus on what media agencies should do: create innovative connections between brands and people regardless of channel or budget. And we do it in an honest way. We are and always have been a values-based organization. We earn our clients TRUST by ensuring media transparency in our business model and objectivity in decision-making. We apply REASON & logic to finding solutions to our clients' greatest business challenges. The Pursuit of HAPPINESS matters to us. Big time. We invest in each colleagues' professional & personal wellbeing and growth. It's why we have countless initiatives, clubs & cultural events dedicated to our people and why we have been the top ranked media agency named to Ad Age's Best Places to Work for the past seven years in a row. We have offices in the US in New York and Philadelphia, with employees across 25+ states, as well as in London and Germany. Our client roster includes U.S. Bank, Invesco, Newell Brands, NASCAR, Planet Fitness, American Cancer Society, Ricola, Herschend Family Entertainment, Edible Arrangements and more. YOUR ROLE We're hiring an Executive Assistant to support select members of our Executive Leadership Team (ELT). The role covers administrative functions as well as on-site meeting & event support in collaboration with our Operations team. This position is based in the NY office. While we offer a hybrid work setting, due to the nature of the role, there is an expectation of in-office presence most of the time (4 days a week) and when needed for executive or event support. The Executive Assistant ensures our executives maintain the strategic mindset vital to a growing agency. The ideal candidate has the organizational talents to keep calendars aligned, travel smooth, minutiae handled and the right information prioritized so that our leaders can focus on the broader agency vision. RESPONSIBILITIES • Enhance the efficiency & focus of assigned ELT member(s) to ensure that agency goals are accomplished, and the company operates in a manner true to our values (or as we say - Scale with Soul), • Proactively manage complex schedules & coordinate meetings across domestic & international time zones and internal & external parties, • Manage travel arrangements including transportation, lodging and any related advance coordination (e.g. local information detail, itineraries, etc.), • Manage executive communications including filtering & prioritizing incoming information & requests, drafting client & vendor correspondence, contact management and liaising with various internal executives & group leaders as needed, • Assist with executive meetings including booking conference rooms, food & beverage, IT & other appropriate resources, • Handle executive documentation needs (e.g. expenses, timesheets, internal processes) and ensure timely submission & compliance, • Monitor executive communications as needed during off-hours, including occasional weekend check-ins, to ensure urgent matters are addressed in a timely manner, • Maintain professionalism and strict confidentiality with all materials & conversations, • Support on-site/off-site agency meetings & events in collaboration with the XM Operations team, • Four or more years of experience in an administrative role reporting directly to upper management, • Resourceful, proactive and can problem-solve quickly, • Extremely organized, detail-oriented and able to anticipate executive needs, • Advanced time-management skills, able to multi-task and coordinate multiple concurrent projects, • Collaborative and team-oriented, • Excellent written and verbal communication skills, • Savvy with computer skills including Microsoft Word, PowerPoint, Excel, Outlook and experience with Smartsheet is a plus, • AI experience and capabilities --, • Use AI tools to streamline emails, documents, and presentations, • Manage calendars, meetings, and projects with smart automation, • Support leadership with research, reports, and actionable insights CROSSMEDIA BENEFITS Our principles of Trust, Reason, and the Pursuit of Happiness are brought to life through benefits that recognize and support the diversity and physical, emotional, and professional well-being of our people, including: • Flexibility to work in hybrid manner with in-office and work from home options (depending on role)., • Open/Flexible PTO with US & UK specific policies, • Sponsored healthcare options and agency-wide physical & mental health support, • 401k with company match (USA), and generous Pension (UK), • Paid sabbatical at significant milestone anniversaries, • Generous paid parental leave policy, • Life milestone recognition & support, • The Pursuit of Happiness Fund devoted to helping Crossmedians find their happy (be it travel, enrichment class, fitness membership or professional development), • Cell phone/tech reimbursement, • Student Loan payment plan (US), • Tuition reimbursement, • Learning & Development and training programs, • And burgers – lots and lots of burgers COMMITMENT TO DIVERSITY AND INCLUSION Diversity is in our DNA. As a minority-owned company, our commitment to an inclusive environment has long been embedded into agency practices and at every level. Almost one third of senior leadership identifies as a person of color and over half of our executive leadership are women. We have active mentoring & internship programs that create opportunities for underrepresented groups. Internal agency programming is anchored by XMEquity365, a permanent, year-round initiative fostering acknowledgement and support of marginalized communities within five pillars – Excellence, Voices, Education, Giving & Representation. Crossmedia is committed to providing equal employment opportunities and creating a diverse and inclusive company culture and that does not discriminate against candidates and employees because of their disability, sex, race, gender identity, sexual orientation, religion, national origin, age, veteran status, or any other basis prohibited by applicable federal, state, or local law. All job requirements are subject to possible revision to reflect changes in the position requirements, business necessities and/or to reasonably accommodate individuals with disabilities. Essential and other job functions are subject to modification. This job description in no way states or implies that these are the only duties to which will be required in this position. Employees will be required to follow other job-related duties as requested by their supervisor/manager (within guidelines and compliance with laws in the US and UK ). Continued employment remains on an "at-will" basis." Reasonable accommodations may be provided to enable individuals with disabilities to perform essential functions in compliance with the American with Disabilities Act of 1990 (US based) Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job: • Prolonged periods of sitting at a desk and working on a computer. Must be able to remain in a stationary position 50% of the time., • Ability to stand, bend, and reach, • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer., • The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.

Job Title: Informatica IDMC Developer. Role: Informatica IDMC Developer designs, builds, and maintains data integration solutions using Informatica Data Management Cloud (IDMC) and Intelligent Cloud Services (IICS), focusing on ETL/ELT pipelines, data quality, and governance across cloud/on-prem sys

Design, deploy, and manage the department's data architecture, including data inventories, ingestion, ETL/ELT processes, and warehouse/data lake design. The BI Data Architect is a strategic leadership role responsible for architecting and advancing Carnegie Hall's data ecosystem. Knowledge and curio

Job Description This is a remote position. Production Support & Service Manager We are seeking a Production Support & Service Manager to lead ongoing support, incident management, and service delivery for AI-driven applications, data platforms, and client-facing solutions. This role will ensure the stability, performance, and reliability of systems operating across AWS, Azure, Tableau, Power BI, and DealCloud CRM. This individual will play a critical role in establishing and scaling production support operations for a growing AI-focused technology team, ensuring seamless service delivery and rapid issue resolution. Key Responsibilities • Lead and manage production support operations for applications, data platforms, and AI solutions, • Oversee incident management, including triage, root cause analysis, and resolution, • Establish and manage SLAs, SLIs, and KPIs for system performance and support responsiveness, • Monitor system health across cloud platforms (AWS, Azure) and data/reporting tools, • Manage support for data pipelines, ETL/ELT processes, and reporting platforms (Tableau, Power BI), • Oversee support and issue resolution for CRM integrations (DealCloud), • Implement and maintain monitoring, alerting, and observability frameworks, • Coordinate with engineering, data, and QA teams to ensure smooth handoffs from development to production, • Lead problem management initiatives to identify trends and prevent recurring issues, • Drive continuous improvement of support processes, tools, and documentation, • Manage and mentor a team of support engineers or analysts, • Ensure compliance with security, governance, and operational standards RequirementsRequired Qualifications • 7+ years of experience in Production Support, Application Support, or IT Service Management, • Experience supporting systems in cloud environments (AWS and/or Azure), • Strong understanding of incident, problem, and change management processes, • Experience supporting data platforms, ETL pipelines, and reporting tools, • Familiarity with monitoring and observability tools (e.g., Datadog, Splunk, New Relic, or similar), • Strong experience with SQL and data troubleshooting, • Experience managing or leading support teams or service operations, • Strong leadership with the ability to build and scale support operations, • Calm and decisive under pressure with strong incident management skills, • Proactive mindset focused on preventing issues vs. reacting to them, • Strong analytical and troubleshooting abilities, • Ability to balance technical depth with service delivery excellence

Job Description 28Stone is a full service custom solutions firm. We offer a wide range of services - from ‘tip of the spear’ advisory, application design, system architecture to implementation, testing and deployment. We partner with the world’s leading financial institutions to design and build robust financial applications that improve their business performance while reducing system risk, cost and time to market. We develop technology of value: we are proud of our proven track record of delivering quality results and the trust our clients place in us with ongoing, repeat engagements. We celebrate winning the Top 1% Workplace Awards 2023 in the “Best Workplace for Technologists” category and are always seeking to expand our team with positive, open-minded, and motivated individuals who are eager to learn as well as share what they know. Role Summary We are looking for a highly technical Trade Support Analyst to support critical trading systems and data workflows. In this role, you will be solving real business problems by using hands-on SQL Server (T-SQL) skills to investigate data issues and discrepancies, while applying your understanding of trading and investment operations workflows to diagnose and resolve production issues. This position sits at the intersection of technology and business operations — you will support traders, operations teams, and technical partners to ensure accurate trade processing and data integrity across systems. Requirements Technical Aptitude • Strong hands-on experience with Microsoft SQL Server (T-SQL)., • Writing and troubleshooting SQL queries and stored procedures, • Interpreting execution plans, • Using SQL to trace data flow and diagnose business data issues, • Experience troubleshooting data interfaces, ETL/ELT processes, and job failures., • Ability to troubleshoot production issues, including database job monitoring and error log analysis., • Direct experience supporting trading platforms or trading operations workflows., • Understanding of the trade lifecycle (e.g., order entry → execution → allocation → settlement → downstream reporting), • Familiarity with how trade data moves between systems, including common reconciliation patterns and breaks seen in daily operations., • Experience working with traders, portfolio managers, or operations teams on production issue resolution., • Knowledge of capital markets products (equities, fixed income, derivatives) and typical trade support processes., • Write, debug, and optimize SQL Server (T-SQL) queries, including complex joins and stored procedures, to investigate and resolve production data issues., • Diagnose discrepancies in trade, position, and holdings data across multiple systems (e.g., upstream trading systems, OMS, accounting, downstream feeds)., • Investigate failed data imports/exports, interface failures, and ETL processes in support of daily production operations., • Troubleshoot and resolve trade breaks, reconciliation issues, and data mismatches by tracing records across systems., • Collaborate with traders, operations teams, and technology partners to understand business impacts and communicate resolution plans., • Document findings, contribute to operational runbooks, and share knowledge to improve team capabilities., • You enjoy problem solving using data, not just writing queries., • You can translate business questions into technical investigations using SQL and system analysis., • You communicate clearly with both technical and business stakeholders. Employment Details: • This is a contractor position only (C2C)., • Looking for individuals with 5+ years of experience., • Candidates should be prepared to demonstrate their hands-on SQL skills during the interview process. This may include tasks such as writing, modifying, and troubleshooting SQL Server queries and stored procedures in real time to solve data problems or answer technical scenarios relevant to the role., • Compensation ranges from $85-110 per hour based on experience and qualifications. Higher rates may be considered for exceptionally strong candidates., • Candidates should be local to the NYC Area and can work in a hybrid model (3 days in the office.) We are flexible and take an individualized approach with each candidate we meet, so we encourage you to apply even if you do not meet every listed requirement. Only candidates who have the right to work in USA are considered for this position.

Job DescriptionBenefits: • 401(k), • 401(k) matching, • Dental insurance, • Employee discounts, • Health insurance, • Training & development Key Responsibilities • Data Pipelines: Develop configuration-driven ingestion and transformation pipelines using AWS Glue, Lambda, and Redshift., • Automation: Implement CI/CD pipelines for automated build, test, and deployment of data products., • Testing: Establish automated test frameworks for schema validation, data quality, and performance testing., • Monitoring: Set up monitoring and observability dashboards for product-level metrics (CloudWatch, custom metrics)., • Collaboration: Work with data modelers and architects to ensure alignment with business requirements.Required Skills, • Programming: Proficiency in Python, SQL, and shell scripting., • AWS Expertise: Hands-on experience with AWS services (Glue, Redshift, S3, Lambda, CloudWatch)., • Automation: Experience with CI/CD tools (Terraform, Jenkins, AWS CodePipeline)., • Data Integration: Strong knowledge of ETL/ELT processes and frameworks., • Soft Skills: Strong problem-solving, collaboration, and communication skills.Qualifications, • Bachelors degree in Computer Science, Data Engineering, or related field., • 5+ years of experience in data engineering and pipeline development., • AWS Certified Data Analytics or AWS Certified Developer is a plus.Candidate must be a US Citizen or Green Card holder to apply for this position.

Job Description Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role We are hiring a Data Engineer to build the data foundation that powers Stuut's intelligence layer. You'll work closely with our product and engineering teams to transform raw financial data into actionable insights that help our customers get paid faster. This is a foundational role, you'll be our first data hire, which means you'll shape everything from our data architecture to how we think about analytics. This is a high-impact role for someone who can think strategically about data infrastructure while rolling up their sleeves to build pipelines, models, and systems from scratch. You'll translate messy data into clean, reliable datasets that drive product decisions, customer insights, and business growth. If you've ever wanted to own the entire data stack at a fast-growing company, this is it. What You’ll Do * Build and own our data infrastructure from the ground up, design pipelines that ingest, transform, and model data from customer ERPs, payment processors, and internal systems * Partner with product and engineering to embed data quality and observability into everything we ship * Create the analytics foundation that helps our customers understand payment patterns, collection trends, and cash flow predictions * Implement DataOps best practices to ensure our data is timely, accurate, and trusted across the organization * Collaborate with leadership to define KPIs, build dashboards, and surface insights that drive strategic decisions * Scale our data platform as we grow from dozens to hundreds of customers, anticipating needs before they become bottlenecks You Might Be a Fit If You… * Have 3+ years of hands-on experience building production data pipelines using Python * Know your way around SQL and modern data warehouses; bonus if you've worked with Snowflake, BigQuery, or Redshift * Have experience implementing ETL/ELT workflows at scale using tools like Airflow, dbt, or similar * Understand data modeling fundamentals and can design schemas that balance performance with flexibility * Have worked with messy, real-world data from SaaS APIs, databases, or third-party integrations * Thrive in ambiguity and get energized by building something new rather than inheriting someone else's stack * Care deeply about data quality and believe that great analytics start with great infrastructure * Have experience (or strong interest) in fintech, B2B SaaS, or financial data, understanding AR/AP workflows is a big plus Compensation * Top-of-market salary and equity package * Benefits (for U.S.-based full-time employees) * Medical, dental & vision insurance coverage for you * 401(k) & Match * Equity * Flexible PTO * Parental Leave Compensation Range: $135K - $190K

Job Description Job Title: Data Architect (Remote) About the Role Our client is seeking a mid-level Data Architect with 3–7 years of experience to join our growing insurtech team. In this role, you will design, optimize, and maintain data architectures that power key insurance products, analytics, and operations. You'll collaborate with cross-functional teams to ensure data is reliable, scalable, secure, and aligned with business needs in a fast-evolving insurance technology environment. Key Responsibilities • Design, document, and maintain scalable data models, data pipelines, and storage solutions for insurance products and analytics., • Architect and optimize cloud-based data platforms (e.g., AWS, Azure, GCP) for performance, cost efficiency, and security., • Collaborate with engineering, product, actuarial, underwriting, and data science teams to understand data requirements., • Implement data governance, data quality, and metadata management practices., • Define and enforce data architecture standards, patterns, and best practices., • Support integration of third-party data sources, including telematics, claims data, customer data, and policy data., • Perform root cause analysis and troubleshoot complex data issues., • Partner with security teams to ensure compliance with industry regulations (e.g., HIPAA, SOC 2, state insurance requirements)., • Evaluate new technologies, tools, and frameworks that can improve data capabilities., • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field., • 3–7 years of experience in data architecture, data engineering, or a similar role., • Strong experience with cloud data platforms (AWS, Azure, or GCP)., • Proficiency in data modeling (conceptual, logical, physical) and database design for relational and NoSQL systems., • Hands-on experience with ETL/ELT pipelines, data orchestration tools (e.g. Airflow, dbt), and data warehousing., • Strong SQL skills and familiarity with distributed computing frameworks (e.g., Spark)., • Experience designing data solutions for analytics, reporting, and machine learning workflows., • Understanding of data security, privacy, and governance best practices., • Experience in the insurance or insurtech industry (claims, underwriting, actuarial, policy lifecycle, regulatory reporting)., • Familiarity with insurance-specific data standards (e.g., ACORD)., • Experience with data cataloging tools (e.g., Collibra, Alation)., • Exposure to event-driven architecture (Kafka, Kinesis, or similar)., • Strong problem-solving and analytical abilities., • Ability to work independently in a fully remote environment., • Collaborative mindset with the ability to translate business needs into technical solutions., • Detail-oriented approach with a focus on data quality and reliability.

Job DescriptionCompany Description OUR STORY: Equinox Group is a high growth collective of the world's most influential, experiential, and differentiated lifestyle brands. We restlessly seek what is next for maximizing life - and boldly grow the lifestyle brands and experiences that define it. In addition to Equinox, our other brands, SoulCycle and Equinox Hotels are all recognized for inspiring and motivating members and employees to maximize life. Our portfolio of brands is recognized globally with locations within every major city across the United States in addition to London, Toronto, and Vancouver. OUR CODE: We are passionate about high performance living and we practice what we preach – investing time in our own health and fitness. We believe that everyone has untapped potential within them and it takes a disruptive approach to unleash it. We dream big and don’t settle for the status quo. We sweat the details. We never accept less than 110% to help each other deliver the Equinox experience and enable our members to get great results. We are obsessed with what’s new, what’s now, what’s next. Never following, always leading, and living ahead of the moment in fashion, culture, and consumer behavior. We aren’t just a company; we’re a community vested in each other’s success. We value humility and a team approach at every level of the company. If you are a high performing individual who is passionate about winning and inspiring others then we are excited to discuss career opportunities with you. Job Description Equinox is seeking a Data Engineer to join our technology team. This role is a hands-on position responsible for the build and continued evolution of the data platform, business applications and integration tools. We are looking for a hands on engineer that can recommend best practices to work with enterprise data. The ideal candidate is going to be a hands on engineer, and very strong with AWS Products to help build out data pipelines, create jobs, manage the quality of the data warehouse and integrated tools. This is a full-time role located in our NYC office. RESPONSIBILITIES • Design, develop, and maintain scalable, efficient data pipelines to support ETL/ELT processes across multiple sources and systems, • Partner with Data Science, Analytics, and Business teams to understand data needs, prioritize use cases, and deliver reliable datasets and models, • Monitor, optimize, and troubleshoot data jobs, ensuring high availability and performance of data infrastructure, • Build and manage data models and schemas in Redshift and other data technologies, enabling self-service analytics, • Implement data quality checks, validation rules, and alerting mechanisms to ensure trust in data, • Leverage AWS services like Glue, Lambda, S3, Athena, and EMR to build modular, reusable data solutions, • Drive improvements in data lineage, cataloging, and documentation to ensure transparency and reusability of data assets, • Create and maintain technical documentation and version-controlled workflows (e.g., Git, dbt), • Contribute to and promote a culture of continuous improvement, mentoring peers and advocating for scalable and modern data practices, • Participate in sprint planning, code reviews, and team retrospectives as part of an Agile development process, • Stay current on industry trends and emerging technologies to identify opportunities for innovation and automationQualifications, • 6+ years of experience in software/data engineering, with a proven track record of building robust data systems (prior leadership or mentorship experience is a plus), • Advanced Python, including experience building APIs, scripting ETL processes, and automating workflows, • Expert in SQL, with ability to write complex queries, optimize performance, and work across large datasets, • Hands-on experience with AWS data ecosystem including Redshift, S3, Glue, Athena, EMR, EC2, DynamoDB, Lambda, and Redis, • Strong understanding of data warehousing and data modeling principles (e.g., star/snowflake schema, dimensional modeling), • Familiarity with dbt Labs and modern ELT/analytics engineering practices, • Experience working with structured, semi-structured, and unstructured data, • Knowledge of data governance, quality assurance, and observability tools to ensure data integrity and trust, • Proficiency in creating technical documentation, SOPs, and maintaining clear communication with cross-functional teams Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Job DescriptionSenior Data Engineer Senior Data Engineer (Hybrid - AdTech | $160K-$185K + Bonus) Location: Hybrid NYC OR NJ/NC with limited travel to NYC Compensation: $160,000-$185,000 base + 10% bonus Skills: Python, SQL, Cloud, and some experience with Snowflake and/or Redshift We're partnering with a fast-growing, well-funded AdTech company that's transforming how advertisers connect with audiences in the real world. They're blending data, creativity, and technology to power smarter, more meaningful advertising experiences across billboards, transit, and mobile displays. We're looking for a Senior Data Engineer with the following experience: • Strong experience with Python and SQL, • Hands-on with Snowflake, BigQuery, or Redshift, • Experience with AWS or GCP, and containerization (Kubernetes a plus), • Familiarity with APIs, orchestration tools, and data automation, • Strong communication skills and ability to work cross-functionally What You'll Do • Build and maintain real-time and batch data pipelines, • Design large-scale data architectures to support analytics and ML, • Develop scalable ETL/ELT processes using cloud-native tools, • Ensure high data quality, integrity, and proper documentation, • Strong experience with Python and SQL, • Hands-on with Snowflake, • Experience with AWS or GCP, and containerization (Kubernetes a plus), • Familiarity with APIs, orchestration tools, and data automation, • Strong communication skills and ability to work cross-functionally, • $160,000-$185,000 base + 10% bonus, • Excellent health, dental, and vision benefits, • 401(k) with company match, • Generous PTO and flexible work schedule, • Hybrid work model (3 days onsite NYC) • For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 04/09/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

Job Description This is a remote position. AI Support Analyst We are seeking an AI Support Analyst to provide day-to-day support for AI-driven applications, data platforms, and client-facing solutions. This role will focus on monitoring system performance, troubleshooting issues, and ensuring the accuracy and reliability of AI outputs and data workflows across environments leveraging AWS, Azure, Tableau, Power BI, and DealCloud CRM. This is a hands-on role ideal for someone with a mix of technical support, data analysis, and troubleshooting experience, with interest in AI-driven systems. Key Responsibilities • Provide L1/L2 support for AI-driven applications, data pipelines, and integrations, • Monitor systems and respond to alerts, incidents, and performance issues, • Troubleshoot issues related to AI outputs, data inconsistencies, and system integrations, • Validate data quality and accuracy across ETL/ELT pipelines and reporting tools (Tableau, Power BI), • Support API integrations and data flows between systems, including CRM platforms like DealCloud, • Document issues, resolutions, and maintain runbooks and knowledge base articles, • Assist with incident management, escalation, and root cause analysis, • Collaborate with engineering, QA, and data teams to ensure production stability, • Support user inquiries and provide guidance on system functionality and issues, • Identify opportunities for automation and process improvements within support operations RequirementsRequired Qualifications • 2–4 years of experience in Application Support, Production Support, QA, or Data Support roles, • Strong analytical and troubleshooting skills, • Proficiency in SQL for data validation and issue investigation, • Familiarity with cloud environments (AWS and/or Azure), • Experience working with data pipelines or ETL processes, • Exposure to monitoring tools (e.g., Datadog, Splunk, CloudWatch, Azure Monitor), • Experience with API troubleshooting or integration support, • Strong attention to detail with a focus on data accuracy, • Problem-solving mindset and ability to troubleshoot complex issues, • Strong communication and customer support skills, • Ability to prioritize and manage multiple issues, • Curiosity and interest in AI and emerging technologies

Job Description Job Title: Principal Consultant, Data Work Style/ Location: Hybrid, Office, Washington DC Metro or New York, NY Type: Full-Time Sector: Data, AI & Analytics Target Salary: Competitive Position Overview BizFirst is supporting our client in identifying a Principal Consultant to lead data and AI engagements across a broad mix of industries and platforms. This is a senior, hands-on role for someone with 10+ years of experience who wants to own customer relationships, lead multi-stream delivery, and help shape a growing practice. Principal Consultants run their engagements. You’ll have direct access to client executives and data leadership, set technical direction for delivery teams, and decide how the work gets done. A growing portion of the practice sits at the intersection of data and generative AI, helping customers build agentic workflows, semantic layers, and LLM-ready data foundations. Our client is a fast-growing global data and AI consultancy with operations across three continents and 140+ consultants serving 70+ enterprise clients. They’ve built a consultant-first culture with a proprietary learning academy, paid certifications, and deep partnerships with platforms like Snowflake, Databricks, and Google Cloud. The US office combines the credibility of an established global brand with the energy of a New York startup. Your Career, Accelerated This is a senior role with real ownership. You’ll run engagements end-to-end, set the technical direction, and make decisions close to the ground where they can make a difference. You’ll work across a wide range of verticals and platforms, partner with alliance teams at Snowflake, Databricks, and Google Cloud to shape new work, and help build the playbooks, reference architectures, and learning academy modules that the next generation of consultants will learn from. What You'll Do • Own the customer relationship. Run multi-stream programs with direct access to client executives and data leadership, and make the calls that move the work forward, • Grow the account. Partner with business development, sales engineering, and Snowflake, Databricks, and Google Cloud alliance teams to scope new work, shape proposals, and expand existing engagements, • Deliver hands-on. Ship production-grade data platforms, pipelines, and AI workflows alongside consultants and senior consultants. Delivery at this level is hands-on, nothing gets handed off and forgotten, • Lead the team. Set technical direction for delivery teams of three to six consultants, break work into clear streams, unblock your engineers, review their code and designs, and raise the bar through your own contributions, • Shape the practice. Contribute to playbooks, reference architectures, and delivery patterns; mentor Senior Consultants moving toward Principal; and author the learning academy modules you wish had existed earlier in your career Tools & Tech Stack • Languages: SQL (lots of it), Python, Spark, • Data Platforms: Snowflake, Databricks, BigQuery, Microsoft Fabric; breadth across more than one is a plus, • Transformation & Orchestration: dbt, Airflow, Dagster, Prefect, • Ingestion & Streaming: Fivetran, Airbyte, dlt, Kafka, Kinesis, or homegrown pipelines, • Cloud: GCP, AWS, Azure, • Governance & Catalog: Unity Catalog, Snowflake Horizon, Microsoft Purview, • GenAI & ML: Snowflake Cortex, Databricks Mosaic, Vertex AI; RAG, semantic search, agentic workflows, and LLM-in-the-loop systems, • BI & Viz: Power BI, Tableau, Looker What We're Looking For This is a senior role, so we’re looking for someone with deep technical chops, a track record leading multi-stream delivery, and the judgment to run customer relationships at the executive level. Depth in many of these areas is what we’re after: • Located in Washington DC Metro or New York, NY, • 10+ years in data engineering, analytics engineering, or data platform consulting, • Track record leading multi-stream delivery on complex data and analytics programs, • Strong SQL fundamentals and data modeling depth (Kimball, Inmon, Data Vault, whatever your flavor), plus solid grounding in data engineering principles like data timelines, cleaning, and pipeline engineering, • Deep hands-on experience with modern cloud data platforms (Snowflake, Databricks, BigQuery, or Microsoft Fabric) and production ELT/streaming environments, • Working knowledge of data lakes, including when to use them and how to play to their strengths, • Hands-on experience with dbt and modern orchestrators like Airflow, Dagster, or Prefect, • Experience designing for lineage, access control, and cost efficiency from day one using tools like Unity Catalog, Snowflake Horizon, or Microsoft Purview, • Comfort working directly with client executives and data leadership, shaping proposals, and partnering with sales engineering and platform alliance teams, • Familiarity with classical ML and modern generative AI patterns including RAG, semantic search, agentic workflows, and LLM-in-the-loop systems, • Experience working with BI and data viz tools such as Power BI, Tableau, or Looker, • A hands-on delivery mindset, this role codes, reviews designs, and unblocks the team, it doesn’t hand things off and hope for the best, • A natural problem solver who stays curious, adapts quickly, and wants to build a better consultancy based on empowerment, autonomy, and doing right by the customer These aren't requirements, but if any of these describe you, we'd love to hear about it: • Certifications: Snowflake SnowPro, Databricks Data Engineer Professional, Google Cloud Professional Data Engineer, Microsoft Fabric Analytics Engineer Associate, and the like, • Hands-on experience building agentic workflows, semantic layers, or LLM-ready data foundations in production, • Industry depth in financial services, media and ad tech, gaming, freight and logistics, trading, or the public sector Perks & Benefits Our client offers stock standard benefits that everybody wants, plus a few extras: • Competitive salary, • Medical, Dental, and Vision plans picked for both young single professionals and those with families to support, • 401(k) match, dollar-for-dollar, up to 4% of your salary, • Flexible paid time off designed for adults, take time as you need it (and you do need at least two weeks off, preferably contiguous, per year), • Top-of-the-line hardware, optimized for horsepower or mobility (we’re all on Macs), • Proprietary learning academy with 100+ custom modules. At Principal level you’ll help shape the curriculum, authoring modules and mentoring peers through the topics you know best, • Certification stipend for the platforms you deliver on About BizFirst BizFirst is a recruiting firm built for companies that got tired of being account #47. We place talent across AI and data, GovCon, finance and operations, and telecom infrastructure. Every search is led by a senior Delivery Lead managing just 3 to 4 clients total. The result: candidates in days, a single point of contact from kickoff to placement, and a 94% retention rate past 90 days.

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 D funding round brought our total investment to over $320 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 9 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. Your Role: We are looking for a Head of Data to lead Alpaca's ~15-person data department across Platform Engineering, Analytics Engineering, and Data Science. You will own the data strategy, the team's execution, and the department's roadmap. The Data department serves every function at Alpaca: it powers partner invoicing and revenue attribution, provides the analytical foundation for sales, product, and compliance, and operates the data platform that processes hundreds of millions of events daily. You will manage three team leads, balancing operational delivery (invoicing, embedded analytics, regulatory reporting) with strategic bets (self-service warehouse, AI-powered analytics, enterprise search). This is a player-coach role. You will set direction for the team while staying close enough to the technical details to make architecture decisions, unblock your leads, and represent data's capabilities to the executive team. Things You Get To Do: • Lead and develop three sub-teams: Platform Engineering & ETL, Analytics Engineering, and Data Science & Analytics. Manage leads, set priorities, and ensure delivery., • Own the Data Lakehouse architecture: Trino, Iceberg/GCS, Airflow, Airbyte, Redpanda CDC, dbt. Make build-vs-buy decisions on tooling., • Drive partner invoicing accuracy and evolution: ensure invoicing logic is versioned, reproducible, and scales with new pricing mechanisms and product launches., • Deliver embedded analytics: expose warehouse data to partners via BrokerDash, SSR pipelines, and API-based reporting. Own row-level security and entitlements., • Support product launches with data change management: coordinate data impact analysis for new products (fixed income, global stocks, perps, 24/5 trading) across downstream datasets, dashboards, and reverse ETL., • Accelerate self-service: move the organization toward self-serve analytics via semantic layers, data catalogues, and conversational BI so the data team can shift from ad-hoc queries to strategic projects., • Guide AI/ML enablement: oversee enterprise AI search, agent-based workflow automation, and LLM-powered analytics. Help balance vendor solutions with in-house development., • Collaborate with Finance, Sales, Product, Compliance, and Customer Success to translate business needs into data products., • Manage infrastructure costs: keep data + cloud cost ratio under target as AUC grows., • 8+ years in data engineering or analytics, including 3+ years managing data teams (leads + ICs)., • Deep experience with modern data stack: dbt, Trino/Presto or equivalent query engines, Apache Iceberg or similar table formats, cloud object storage., • Hands-on experience with ETL/ELT patterns at scale: CDC (Debezium/Kafka), batch (Airflow/dbt), streaming, and reverse ETL., • Track record of building self-service analytics capabilities for non-technical stakeholders., • Experience with financial data: trading, invoicing, revenue attribution, or regulatory reporting in fintech or financial services., • Proficiency in Python and SQL. Comfortable reading code, reviewing PRs, and making architecture decisions., • Experience managing distributed/remote teams across multiple time zones., • Strong stakeholder management: you can translate between executive priorities and engineering execution., • Experience with brokerage or broker-dealer operations (clearing, settlement, market making, reconciliation)., • Familiarity with LLM/AI tooling: MCP, vector databases, enterprise search, conversational BI (WrenAI, Cube)., • Background in compliance analytics (AML/Actimize, KYC, margin calls)., • Exposure to open-source data catalogues (OpenMetadata, Collate) and data quality frameworks.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 Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022) You will collaborate closely with Enterprise Technology, Information Technology, Security, Engineering, Data, People, and Finance teams to understand business requirements, translate them into technical specifications, and deliver integrations that enhance productivity, reduce manual work, and improve system accuracy. This role is ideal for someone who enjoys solving complex systems challenges, designing clean integration architectures, and building automation that scales As Staff Integrations Engineer (Enterprise Technology) at Maven, you will: • Design, build, and maintain and own integrations between enterprise SaaS systems, internal tools, identity platforms, and data services., • Cross functionally work with technical and non-technical partners driving projects, gathering requirements, system mapping creating, data validation, gathering buy-in and approval, stakeholder management., • Develop and own workflows, automation, and orchestration logic to streamline processes such as user lifecycle management, access provisioning, data synchronization, and operational workflows., • Evaluate integration approaches (API-based, event-driven, middleware, automation platforms, ETL/ELT) and select the right solution based on requirements for reliability, performance, and security., • Collaborate with IT, Product, and Engineering teams to define technical requirements, validate solution designs, and support high-quality delivery., • Troubleshoot integration failures, performance bottlenecks, and data inconsistencies, driving root-cause analysis and long-term fixes., • Create and maintain detailed documentation, including sequence diagrams, data flow diagrams, integration runbooks, and error-handling frameworks., • Work closely with Security to ensure integrations follow best practices for authentication, authorization, data minimization, and auditability., • Implement automation frameworks to improve provisioning, configuration management, lifecycle management, and endpoint operations., • Maintain architectural documentation including system diagrams, data flow models, configuration standards, and API specifications., • Support incident response and troubleshooting efforts as a senior escalation point for complex technical issues across enterprise systems., • 6–10+ years of experience building integrations or automation in enterprise environments, preferably within high-growth SaaS or cloud-native organizations., • Deep experience with Workato or other integration/automation platforms like Snaplogic or Boomi., • Deep experience with Okta or other Identity and Access Management products like OneLogic, JumpCloud., • Experience in other integration platforms such as BetterCloud or Zapier is a plus., • Solid understanding of enterprise SaaS ecosystems such as Google Workspace, Jamf, Atlassian, Slack., • Experience working with HRIS/Finance/CRM tools such as ADP and Salesforce., • Strong proficiency with APIs, webhooks, authentication standards (OAuth, SAML, SCIM), and event-driven or message-based architectures., • Experience developing integrations using languages such as Python, TypeScript/JavaScript, or similar., • Strong debugging, testing, and observability skills in production integration environments., • Experience designing fault-tolerant and scalable automation workflows with clear error handling and monitoring., • Excellent communication skills with the ability to explain technical topics to both technical and non-technical audiences. This role requires active work authorization in the US. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. This role is exclusively open to candidates in these locations. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants 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. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .

Job DescriptionWe are seeking a skilled and motivated Data/AI Cloud Engineer to join our team! In this role, you will play a key part in implementing AWS data and AI/ML services, building ETL/ELT pipelines, and developing intelligent data solutions that empower our customers to derive meaningful insights from their data. You will collaborate closely with Cloud Architects and senior technical team members to design and deliver high-quality, scalable solutions — spanning data engineering, machine learning infrastructure, and AI-driven applications — aligned with customer needs. Responsibilities:· Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR· Creating and maintaining data extraction, transformation, and loading processes· Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB· Implementing data lakes using S3 and related AWS services· Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude· Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases· Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex· Writing and testing SQL queries and stored procedures· Documenting technical solutions and providing knowledge transfer to customers· Supporting the implementation of data governance and security controls· Troubleshooting and resolving issues with data pipelines and AI services· Participating in code reviews and implementing feedback· Assisting with proof-of-concept implementations for customer engagements Top candidates will have the following:· Technical familiarity with AWS data and AI/ML services and modern data engineering practices· Hands-on experience with ETL/ELT processes and data transformation· Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks· Ability to write and optimize SQL queries across various database platforms· Knowledge of data modeling concepts and best practices· Strong analytical and problem-solving skills· Eagerness to learn new technologies and keep up with cloud and AI innovations· Excellent communication skills with the ability to explain technical concepts clearly· Attention to detail and commitment to solution quality· Collaborative mindset with strong teamwork capabilities· Experience or interest in automation and infrastructure as code Required Experience for the Role:· Must have 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development· Must have 2+ years of hands-on AWS experience with production deployments· Must have 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents)· Must have a proven track record delivering production AI applications from concept to deployment· Must have strong understanding of software engineering best practices (version control, testing, code review, documentation)· Must have experience working in agile/scrum environments with distributed teams· Must have excellent problem-solving skills and ability to work independently with minimal supervision· Must have strong written and verbal communication skills for client-facing interactions The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training. 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 Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are looking for a MDM Lead who will be responsible for designing, implementing, and governing enterprise Master Data Management solutions supporting Commercial operations in Life Sciences industry. This role requires deep hands-on expertise in MDM platforms (primarily Informatica), strong understanding of Pharma Commercial data domains, and the ability to translate business strategy into scalable data architecture and operating models.. RESPONSIBILITIES: • MDM Strategy & Architecture, • Lead the design and implementation of MDM solutions for Commercial domains such as HCP, HCO, Affiliation, Product, Territory, and Customer hierarchies, • Define golden record strategy, survivorship rules, match/merge logic, and data stewardship workflows, • Establish MDM reference architecture aligned to enterprise data strategy and regulatory requirements, • Informatica MDM & ETL Delivery, • Configure and manage Informatica MDM (Multidomain or Customer 360) including: Data models, match rules, trust frameworks, and hierarchies, • Design and develop ETL/ELT pipelines using Informatica PowerCenter / IICS (or equivalent) to ingest data from multiple internal and external sources (e.g., IQVIA, OneKey, CRM, ERP), • Ensure performance, scalability, and data quality across large-scale datasets, • Data Quality & Governance, • Define and enforce data quality rules, KPIs, and exception handling, • Partner with business and data governance teams to operationalize data stewardship models, • Commercial Pharma Domain Leadership, • Act as a subject matter expert for Commercial master data:, • HCP/HCO identity resolution, • Affiliations and hierarchies, • Specialty, address, and territory alignment concepts, • Collaborate with Sales Ops, Marketing Ops, Market Access, and Analytics teams to translate business requirements into scalable MDM solutions, • Leadership & Stakeholder Management, • Lead onshore/offshore delivery teams and review technical designs and code, • Engage senior stakeholders to align data standards, priorities, and roadmap, • 8-10+ years of hands-on experience in MDM implementations within Life Sciences / Pharma, • Strong expertise in Informatica MDM (Customer 360 / Multidomain), • Strong experience designing and building ETL pipelines using Informatica or equivalent tools Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. We are seeking an experienced and dynamic Solution Architect in Data Engineering to play a key role in designing and implementing robust data solutions that help in solving the client's complex business problem. Responsibilities • Manage large-scale data analytics client engagements in a global delivery model, • Work with business executives to understand business requirements and constraints for the success of the program., • Present solutions to technology and business audiences highlighting the robustness of the solution and how it could help generate business value., • Ideating problem solutions leveraging modern trends in data and analytics solutions and related pattern, • Hold discussions on high-level architecture, platforms, and tools fitments for data and analytics solutions, • Steer discussions in strategizing and implementing digital and cloud solutions., • 12+ years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects, • Prior experience building large-scale enterprise data architectures using commercial and/or open-source Data Analytics technologies, • Design and develop scalable Databricks-based architectures to process and analyze large-scale life sciences data., • Lead end-to-end data platform architecture, including ETL/ELT pipelines, data lakes, data warehouses, and data governance frameworks., • Implement Databricks on AWS, ensuring security, scalability, and performance., • Utilize Delta Lake, Unity Catalog, MLflow, and Databricks SQL for advanced analytics., • Integrate Snowflake, Redshift, Synapse, and other cloud-native data platforms where required., • Ability to produce client-ready solution architecture, business-understandable presentations and good communication skills to lead and run workshops, • Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming, and real-time data pipelines, • Data modeling and architecting skills including strong foundation in data warehousing concepts and experience with data warehouse solutions, such as Amazon Redshift, Google BigQuery, or Snowflake Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Our Direct Client has a new Data Engineer job in montvale, NJ. As a Data Engineer you will build and manage the Clients data infrastructure. The ideal candidate will be an expert in writing complex SQL queries, designing efficient database schemas, and developing ETL/ELT pipelines. You will ensure data is accurate, accessible, and optimized for performance to support business intelligence, analytics, and reporting needs. Key Responsibilities • Database Design & Management: Design, develop, and maintain relational databases (e.g. SQL Server, ProgressSQL, Oracle) and cloud-based data warehouses., • Strategic SQL and Data Engineering: Develop sophisticated, optimized SQL queries, stored procedures, and functions to process and analyze large, complex datasets for actionable business insights., • Data Pipeline Automation & Orchestration: Help build, automate, and orchestrate ETL/ELT workflows utilizing SQL, Python, and cloud-native tools to integrate and transform data from diverse, distributed sources., • Performance Optimization: Tune queries and optimize database schema (indexing, partitioning, normalization) to improve data retrieval and processing speeds., • Data Integrity & Security: Ensure data quality, consistency, and integrity across systems. Implement data masking, encryption, and role-based access control (RBAC)., • Education: Bachelor’s degree in computer science, Information Systems, or a related field., • SQL Mastery: 5+ years of experience with advanced SQL (window functions, CTEs, query optimization)., • Database Expertise: Deep understanding of relational database management systems (RDBMS) and data modeling techniques., • Cloud Platforms: Demonstrated experience with Azure Data Services and other data warehouse technologies., • Programming: Proficiency in Python for scripting and data manipulation., • ETL Tools: Familiarity with tools like SSIS or Azure Data Factory., • Experience with NoSQL databases (Cosmos DB, MongoDB)., • Experience with big data frameworks (Apache Spark, Kafka)., • Tools Used: SQL IDEs (DBeaver, SSMS), Cloud Consoles, Git, Jira, SSIS. Please note: Applying to this role is an agreement to have your information entered into our database and acknowledgement that a recruiter will reach out to you either by phone, email, and/or text message regarding this and similar job opportunities. Aquinas Consulting is a woman and minority owned company headquartered in Milford, CT that provides Engineering, Information Technology (IT), and Manufacturing staffing solutions throughout the US. We take pride in 20 years of service to our clients, our hiring managers, our consultants, and our local community. Aquinas is an affirmative action, equal opportunity employer and committed to considering all qualified applications without regard to race, genetic information, sex, age, color, religion, national origin, veteran status, disability or any other characteristic protected by law.

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 a Staff Data Scientist, you'll be seen as a tech lead thought leader across company leaders and across Product, Engineering, Design, Operations, and Clinical teams. You will help the company be rigorous and thoughtful on how to best use data and apply statistical methods. You will bring an experienced perspective among the team to help them polish their thinking and ultimately inform their roadmaps, shape their thinking, and drive outcomes. You will be a highly engaged cross-functional partner that is sought out to solve challenges and will be able to bridge the gap between technical and non-technical stakeholders, upleveling those around you. 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 • Partner with Product, Engineering, Design, Clinical, Operations, and Machine Learning teams to turn ambiguous questions into clear analytical recommendations that influence strategy and decision-making., • Build and establish models and analyses using appropriate statistical methods that identify key roadmap items to prioritize across the respective teams., • Regularly influence leaders to accept recommendations and define the metrics that matter which will generate concrete and notable impact to the company's mission., • Partner closely with Analytics and Data Engineering to define key objectives for the team, design and scale repeatable frameworks, and enable broader self-serve use of existing tools & methods while keeping a high bar when it comes to analytical rigor., • Be a causal inference expert with knowledge across several methodologies (e.g. Experimentation, Diff-in-Diff, IV, Propensity Score, etc.) and serve as a key stakeholder in enabling this thinking., • Form and vocalize opinions on how we should do things and gain trust among company leaders as a key partner they should feel empowered to reach out to for brainstorming and new initiatives., • 7+ years in data science/analytics roles, at least 3 of those years in a tech lead capacity., • Demonstrated ability to navigate an ambiguous data environment, with start-up experience preferred related questions and provide approaches with appropriate statistical rigor to a wide variety of stakeholders., • Experience with modeling that led to clear and concrete adoption of recommendations and demonstrated visible impact, • Detailed knowledge of causal inference methods including (but not limited to): RCT, Diff-in-Diff, IPW, Propensity Score, Instrumental Variables, Variance Reduction, etc., • Experience with leveraging LLMs on text to generate insights and amplify existing work., • Strong technical proficiency: SQL, Python or R, modern ELT/ETL, OLAP databases (e.g., Snowflake), dbt, BI tools (e.g., Tableau, Hex), and experience setting up and scaling experimentation programs (A/B tests, causal inference, lift measurement)., • Excellent ability to communicate, collaborate, and influence business partners at all levels, but especially executives and those at Director+ levels., • Bonus: Healthcare Experience, Start-up Experience, • Passion for mission-driven work in mental health or healthcare settings and a desire to apply your skills to improve outcomes, • Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/week.Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $190,000 and $270,000 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 Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization. Requirements Key Responsibilities • Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc., • Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases., • Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring., • Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets., • Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems., • Lead the migration of legacy data systems to modern cloud-based data architectures., • Develop and maintain CI/CD pipelines for data workflows and platform automation., • Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications., • Optimize data pipelines for performance, reliability, scalability, and cost-effectiveness using AWS best practices. Required Skills • Strong experience as a Data Engineer working with AWS cloud services., • Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools., • Experience building data pipelines using Databricks, Apache Spark, and SQL., • Experience with Apache Airflow for workflow orchestration., • Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks., • Experience with CI/CD pipelines and version control systems (Git)., • Exposure to Generative AI or LLM-based applications., • Experience supporting data pipelines for AI/ML workloads., • Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures., • Experience working with LLM APIs or AI frameworks such as LangChain. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world's relationship with financial services. At Kunai, we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered. We are leveraging cutting-edge technology to deliver superior data-driven solutions. We value innovation, collaboration, and excellence, and we are seeking a skilled Data Engineer to join our dynamic team to optimize and innovate our data infrastructure within the Snowflake ecosystem. Position Summary: As a Data Engineer, you will design, implement, and manage scalable, high-performance data solutions tailored to the needs of the financial services environment. You will be instrumental in migrating traditional relational data domains to a modern cloud data platform using Snowflake, ensuring data integrity, optimizing workflows, and integrating data governance and science tools. Your expertise will enable us to maintain a robust, cost-effective, and secure data environment. Key Responsibilities: • Design, develop, and manage scalable data storage and processing solutions within the Snowflake environment optimized for financial data workloads., • Lead the migration of existing data domains and flows from relational data stores to Snowflake, ensuring seamless transitions with minimal disruption., • Identify, analyze, and optimize new and existing data workflows to improve performance and reliability., • Implement and enforce data integrity best practices to ensure accuracy, consistency, and security of data assets., • Collaborate with data governance and data science teams to integrate relevant tools and frameworks within the Snowflake ecosystem following organizational standards., • Support development and maintenance of data models and ETL/ELT processes to guarantee high-quality data ingestion into the cloud data store., • Work closely with cross-functional teams to design and implement effective data workflows, transformations, and pipelines aligned with business goals., • Assist in the ongoing maintenance and optimization of Snowflake environments focusing on performance tuning and cost reduction strategies., • Contribute to the development of proof of concepts, detailed documentation, and best practice guides governing data management and Snowflake usage., • Participate actively in code reviews, providing constructive feedback aimed at improving code quality and team collaboration., • Design and develop data ingestion pipelines using Talend or Informatica, applying industry best practices for security and efficiency., • Develop and maintain efficient SQL queries and Python scripts to analyze large datasets and automate end-to-end data workflows on scheduled intervals., • Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related technical field., • Proven experience (3+ years preferred) as a Data Engineer or similar role in Financial Services or a similarly regulated, data-intensive industry., • Strong expertise with Snowflake architecture, features, and best practices in cloud data warehousing and processing., • Hands-on experience migrating data workflows from traditional relational databases to Snowflake or other cloud-native platforms., • Proficiency in building and optimizing ETL/ELT pipelines using tools such as Talend and/or Informatica., • Solid SQL and Python programming skills for data ingestion, transformation, and automation workflows., • Familiarity with data governance principles and integration of governance/data science tools within data ecosystems., • Experience designing REST API integrations, specifically Snowflake REST API, to enable data distribution layers., • Knowledge of data modeling, relational and dimensional data design concepts, and data warehousing methodologies., • Ability to work onsite in Manhattan, NY, and collaborate effectively in a fast-paced, cross-functional team environment., • Experience with PowerBI or similar data analytics platforms, • Experience with financial datasets, compliance standards, and security protocols., • Familiarity with containerization (Docker/Kubernetes) and orchestration tools for data pipelines., • Knowledge of cloud platforms beyond Snowflake, such as AWS, Azure, or GCP. Our success over the past 20 years is rooted in our exceptional team, which thrives in a culture of collaboration, creativity, and continuous learning. We are proud to offer our employees a range of benefits, including competitive compensation, professional development opportunities, and flexible work arrangements, all designed to help them thrive. As we continue to expand, we remain committed to cultivating an environment where people feel valued, have a voice, and are given the tools to grow—both personally and professionally—while pushing the boundaries of innovation in the fintech industry. Minimum Degree Required: • Bachelor's Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required

Job Description Infrastructure Engineer (AWS / Terraform / ECS / Data Platforms) Location: New York, NY (Onsite 3–5 days/week) Compensation: $180,000 - $235,000 + equity About Our Client Our client is building AI-native infrastructure to automate the administrative backbone of healthcare—starting with home health. Their platform helps agencies reduce overhead, accelerate payments, and spend more time on care (not paperwork). The product integrates directly into provider operations and automates complex workflows like insurance verification, prior authorization, and billing using agentic AI. Backed by top-tier investors, the team blends deep expertise across healthcare operations, applied AI, and workflow automation. The Role Our client is hiring their first Infrastructure Engineer to build and scale the foundational systems powering their AI automation platform. You will own critical infrastructure supporting production workloads across intake, clinical documentation, and revenue cycle management—ensuring reliability, security, performance, and compliance as the company scales from one client to dozens. This is a systems-oriented role with broad scope. You'll work across container orchestration, data systems, deployment automation, and observability. Over time, you'll help set the technical vision for the infrastructure layer and define operational best practices that allow engineering to ship faster and more reliably. What You'll Do • Design, build, and maintain scalable cloud infrastructure on AWS, including ECS, Postgres, Redshift, and supporting data pipelines for production workloads, • Own CI/CD pipelines and deployment automation to enable fast, safe releases (testing, rollbacks, zero-downtime deployments), • Implement and manage infrastructure-as-code using Terraform, ensuring consistency and version control across environments, • Build robust observability (metrics/logs/traces/alerting) using tools like Datadog, including cost and performance monitoring, • Scale and optimize Postgres/Redshift to handle growing data volumes while maintaining performance and data integrity, • Drive security and compliance at the infrastructure layer: IAM policies, network controls, audit logging, and HIPAA-compliant data handling Required Qualifications • 4+ years of infrastructure, platform, or SRE-adjacent engineering experience building and scaling production systems, • Strong hands-on experience with AWS and Terraform (or comparable IaC), • Experience with AWS primitives including ECS, RDS/Postgres, Redshift, IAM, VPC, and related services, • Strong experience building and maintaining CI/CD pipelines, automated testing, and deployment automation, • Hands-on experience with observability tools (especially Datadog) including monitoring strategy and alerting discipline, • Familiarity with Redshift or modern warehousing patterns for analytics/reporting workloads, • Experience in healthcare or other regulated industries requiring strict security, privacy, and compliance, • Familiarity with data pipeline orchestration tools and ETL/ELT patterns, • First infrastructure hire with real ownership and architectural influence, • High-impact mission: reduce administrative burden so providers can focus on patient care, • Work at the intersection of cloud infrastructure + data systems + AI-driven workflow automation, • Build compliant, resilient infrastructure that scales with real healthcare operators

Job Description Job Overview: We are seeking a skilled Databricks Data Engineer to join our team. The successful candidate will be responsible for development and optimization of data pipelines, implementing robust data checks, and ensuring the accuracy and integrity of data flows. This role is critical in supporting data-driven decision-making processes, especially in the context of our insurance-focused business operations. Key Responsibilities: • Develop and maintain scalable and efficient data pipelines to ensure seamless data flow across various systems address any issues or bottlenecks in existing pipelines., • Implement robust data checks to ensure the accuracy and integrity of data. Summarize and validate large datasets to ensure they meet quality standards., • Monitor data jobs for successful completion. Troubleshoot and resolve any issues that arise to minimize downtime and ensure continuity of data processes., • Regularly review and audit data processes and pipelines to ensure compliance with internal standards and regulatory requirements, • 4-9 years experience on Data Engineering role working with Databricks & Azure Cloud technologies., • Bachelors degree in computer science, Information Technology, or related field., • Strong proficiency in PySpark, Python, SQL., • Strong experience in data modeling, ETL/ELT pipeline development, and automation, • Proficient in working on Azure cloud components Azure Data Factory, Azure Databricks, Azure Data Lake etc., • Experience with data modeling, ETL processes, Delta Lake and data warehousing., • Experience on Delta Live Tables, Autoloader & Unity Catalog., • Preferred - Knowledge of the insurance industry and its data requirements., • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy., • Excellent problem-solving skills and ability to work under tight deadlines., • Hands-on experience with performance tuning of data pipelines and workflows, • Excellent communication and problem-solving skills to work effectively with diverse teams

Job DescriptionAbout UsCanary Technologies is changing the game for hotels with modern software powered by Canary's hospitality-specific AI platform. Canary is utilized by 20,000+ hoteliers in 100+ countries to equip hoteliers with the technology they need to work smarter and wow their guests. Major hotel brands such as Wyndham, Marriott, IHG, Four Seasons, Rosewood, and Best Western trust Canary to deliver results. Canary was named a 2024 Deloitte Technology Fast 500™ company, a Most Innovative Company by Fast Company and a HotelTechReport Best Place to Work — and is backed by top Silicon Valley investors like Y Combinator, F-Prime, Brighton Park Capital and Insight Partners. Join us in shaping the future of hospitality! About the Role We're looking for a Senior Business Intelligence Analyst to lead and define the analytics function at Canary. You'll be the go-to expert on all things data and analytics — owning the strategy, infrastructure, and outputs that the business relies on to make decisions. You'll work across every function and directly with enterprise customers, shaping not just what we measure but how we think about data as a company.What You'll Do • Own the analytics strategy and roadmap — define the vision for how Canary uses data, what we measure, and where we invest in analytics capabilities, • Be the company's analytics expert — serve as the authority on our data, metrics, and analytical best practices across all teams, • Lead the architecture of our analytics platform in partnership with data engineering, including tooling, data modeling, and warehouse design decisions, • Build and own the data pipelines and business analytics that power reporting and decision-making across the organization, • Design and maintain dashboards and analyses that give leadership and cross-functional teams clear visibility into business performance, • Drive strategic conversations with product, sales, go-to-market teams, and leadership — proactively identifying opportunities and risks in the data, not waiting to be asked, • Work directly with enterprise customers on data feeds, custom reporting, and analytics integrations, • Own and evolve our KPIs and metrics frameworks — ensure the company has a consistent, well-understood set of metrics and that teams are aligned on definitions and methodology, • Establish and maintain comprehensive data documentation and a metrics source of truth — build the processes and culture that make data accessible and understandable to everyone at Canary, • Set and enforce data quality standards through governance practices, validation, and cross-team accountability, • Enable self-serve analytics across the organization by building intuitive data models, tooling, and documentation that reduce dependency on ad-hoc requestsWhat We're Looking For, • 5+ years of experience in a BI, analytics, or analytics engineering role, with a track record of owning an analytics function end-to-end, • Excellent SQL skills and deep experience with data warehouses (e.g., Snowflake, BigQuery, Redshift), • Experience designing and maintaining dashboards in modern BI tools (e.g., Tableau, Looker, Metabase), • Strong understanding of data pipeline tooling and ETL/ELT concepts, • Proven ability to translate ambiguous business problems into structured analytical frameworks and actionable recommendations, • Strong communication and presentation skills — comfortable engaging with executive leadership and enterprise customers alike, • A knack for documentation and knowledge sharing — you believe that data is only useful if people understand it, • Opinionated about data quality and governance, with a track record of raising the bar, • Experience working cross-functionally and influencing decisions without direct authority 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 Description This is a remote position. Azure Specialist Overview We are seeking an Azure Specialist to design, implement, and support cloud-based solutions that power AI-driven applications, data platforms, and client-facing systems. This role will focus on building and optimizing solutions within Microsoft Azure, while supporting integrations with AWS, Tableau, Power BI, and DealCloud CRM. This is a hands-on role ideal for someone with strong Azure experience and a background in cloud infrastructure, data platforms, and modern application architectures. Key Responsibilities • Design, deploy, and manage Azure-based infrastructure and services, • Build and support environments for AI/ML workloads, data pipelines, and analytics platforms, • Implement scalable, secure, and highly available cloud solutions in Azure, • Support integrations between Azure services and:, • AWS environments (multi-cloud), • BI tools (Tableau, Power BI), • CRM platforms (DealCloud), • Develop and maintain infrastructure as code (IaC) using tools such as ARM templates, Bicep, or Terraform, • Monitor and optimize systems for performance, cost, and reliability, • Implement and manage security controls, including identity (Azure AD), access, and encryption, • Support CI/CD pipelines and DevOps practices for deployment automation, • Troubleshoot and resolve issues across Azure infrastructure and applications, • Collaborate with engineering, data, and architecture teams to align with best practices and standards RequirementsRequired Qualifications • 4–7 years of experience working with Microsoft Azure, • Strong hands-on experience with core Azure services such as:, • Virtual Machines, Storage Accounts, • Azure SQL, Cosmos DB, • Azure Functions, App Services, • Virtual Networks, Azure Active Directory, • Experience supporting data platforms, ETL/ELT pipelines, or analytics workloads, • Experience with infrastructure as code (ARM, Bicep, Terraform, or similar), • Familiarity with CI/CD tools and DevOps practices (e.g., Azure DevOps, GitHub Actions), • Strong understanding of cloud networking, security, and architecture principles, • Strong technical troubleshooting and problem-solving skills, • Ability to work independently and collaboratively, • Proactive mindset focused on optimization and improvement, • Adaptability in a fast-paced, AI-driven environment, • Strong communication across technical teams

Job DescriptionAbout SmartAsset: SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month (as of January 2025) through our educational content and personalized calculators and tools. To extend our mission, we also operate SmartAsset Advisor Marketing Platform (AMP), which helps connect consumers with fiduciary financial advisors.SmartAsset has earned recognition on the Inc. 5000 (#2574 in 2023) and Deloitte Technology Fast 500™ (#250 in 2022) lists. Currently, SmartAsset ranks on Y Combinator's list of Top 100 Companies. A successful $110 million Series D funding round in 2021 valued the company at over $1 billion. *Other than application and licensing fees, SmartAsset did not provide compensation for the aforementioned awards. About the team: SmartAsset's Data Engineering team builds and maintains the scalable, low-latency systems that power data access across the company. Our platform supports real-time and batch data needs for analytics, reporting, and machine learning, serving teams across Marketing, Product, Sales, and Finance. You'll be part of a growing data organization that includes analysts, data scientists, and ML engineers that are at the forefront of AI/ML application for the company. As a Senior Data Engineer, you'll work cross-functionally to evolve our architecture, optimize data latency, and build robust solutions that enable data-driven decisions at scale. About the Job: SmartAsset is looking for a seasoned Senior Data Engineer with 7+ years of hands-on experience to help build and optimize the backbone of our data platform. In this role, you'll design and implement high-impact, cloud-native solutions that improve data reliability, reduce latency, and scale with our growing business. You'll play a key role in enabling data products, real-time analytics, and cross-functional decision-making by delivering clean, well-structured, and accessible data. Responsibilities: Architect, design, implement, and operate end-to-end data engineering solutions using Agile methodology. • Develop and manage robust data integrations with external vendors and organizations (including complex API integrations)., • Collaborate closely with Data Analysts, Data Scientists, DBAs, and cross-functional teams to understand requirements and deliver high-impact data solutions., • Lead and take ownership of assigned technical projects in a fast-paced environment., • Drive continuous improvement in the quality, security, efficiency, and scalability of our data pipelines and infrastructure.Skills/Experience you have:, • Bachelor of Science degree in Computer Science or equivalent practical experience., • 4+ years of dedicated experience building and maintaining complex ETL/ELT pipelines., • 3+ years of Python development experience, specifically building production-grade data APIs using FastAPI or similar frameworks., • Strong expertise in SQL, including advanced query optimization and performance tuning., • Expert-level proficiency in dbt implementation, including managing models, macros, and incremental and dynamic tables., • Extensive hands-on experience with Snowflake, including performance optimization, data recovery using Time Travel, and advanced data modeling techniques., • Practical experience with key AWS data services such as Kinesis, Firehose, Redshift, Spectrum, Elastic MapReduce, and Lambda; and container orchestration services like ECS and EKS for deploying and managing data applications.Skills/Experience preferred:, • Proven experience designing and building near real-time data processing systems., • Experience with data observability tools for proactive monitoring of data quality, lineage, and pipeline health., • Familiarity with modern data orchestration platforms such as Argo or Airflow., • Hands-on experience with the full software development lifecycle (SDLC), including strong CI/CD practices for data pipelines and proficiency with data testing frameworks., • Demonstrated ability to identify and adopt new technologies that improve data quality and reliability., • Deep understanding of the data lifecycle, emphasizing the importance of high-quality data in applications, machine learning, business analytics, and reporting., • Proven track record of mentoring junior team members., • Experience with data ingestion tools like Singer is a plus., • Knowledge of analytics tools such as Tableau, Plotly, and Pandas., • Experience in the financial services industry. Physical Requirements: • Prolonged periods of sitting at a desk and working on a computer, • Must be able to communicate via phone calls and/or video conferences (mainly for concierge and sales roles) Available Benefits and Perks:, • All roles at SmartAsset are currently and will remain remote - flexibility to work from anywhere in the Contiguous US., • Medical, Dental, Vision - multiple packages available based on your individualized needs, • Life/AD&D Insurance - basic coverage at 100% company paid, additional supplemental available, • Supplemental Short-term and Long-term Disability, • FSA: Medical and Dependant Care, • 401K, • Equity packages for each role, • Time Off: Vacation, Sick and Parental Leave, • EAP (Employee Assistance Program), • Financial Literacy Mentoring Program, • Pet Insurance California, Colorado, Connecticut, Maryland, Nevada, Rhode Island, Washington, and New York City residents* $135,500 - $200,000 + RSUs + benefits. Salary at SmartAsset is determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the contiguous United States.

Job Description This is a remote position. Sr. Production Support Engineer We are seeking a Senior Production Support Engineer to support and maintain AI-driven applications, data platforms, and client-facing solutions in a production environment. This role is responsible for ensuring system stability, performance, and reliability across AWS, Azure, Tableau, Power BI, and DealCloud CRM integrations. The ideal candidate brings strong troubleshooting skills, experience with cloud and data ecosystems, and the ability to support complex, integrated systems in a fast-paced, AI-focused environment. Key Responsibilities • Provide L2/L3 production support for applications, data pipelines, and AI-driven solutions, • Monitor system performance and respond to incidents, alerts, and service disruptions, • Perform root cause analysis (RCA) and implement fixes or coordinate with engineering teams, • Support data pipelines (ETL/ELT) and ensure accuracy of data feeding into reporting tools (Tableau, Power BI), • Troubleshoot and resolve issues related to API integrations and microservices, • Support CRM integrations (DealCloud) and related data workflows, • Maintain and improve monitoring, logging, and alerting systems, • Execute runbooks and standard operating procedures (SOPs) for issue resolution, • Collaborate with development, QA, and data teams to ensure smooth deployment and production readiness, • Participate in on-call rotations and provide after-hours support as needed, • Identify opportunities for automation and process improvement within support operations RequirementsRequired Qualifications • 5+ years of experience in Production Support, Application Support, or Site Reliability Engineering (SRE), • Strong experience supporting systems in AWS and/or Azure environments, • Experience troubleshooting data pipelines, ETL/ELT processes, and data-related issues, • Strong SQL skills for data investigation and validation, • Experience with monitoring and observability tools (e.g., Datadog, Splunk, New Relic, CloudWatch, Azure Monitor), • Experience with API troubleshooting and microservices-based architectures, • Familiarity with incident management and ticketing systems (e.g., ServiceNow, Jira), • Strong analytical and troubleshooting mindset, • Ability to remain calm and effective under pressure, • Proactive approach to identifying and preventing issues, • Strong collaboration skills across technical teams, • Ownership mentality and commitment to system reliability

Job Description 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.

Job Description This is a remote position. Principal Quality Automation Architect We are seeking a Principal Quality Automation Architect to define and lead enterprise-wide automation strategy across AI-driven applications, data platforms, and cloud environments. This role will be responsible for designing scalable, modern test automation frameworks that ensure the quality, reliability, and performance of solutions built across AWS, Azure, Tableau, Power BI, and DealCloud CRM integrations. This is a highly strategic, hands-on leadership role focused on building next-generation QA automation capabilities, particularly for AI/ML systems, data pipelines, and distributed cloud architectures. Key Responsibilities • Define and lead the enterprise test automation architecture and strategy across applications, data, and AI platforms, • Design and implement scalable automation frameworks for UI, API, data, and AI/ML validation, • Establish automation standards, tools, and best practices across AWS and Azure ecosystems, • Architect automation solutions for data pipelines (ETL/ELT), data lakes, and analytics platforms, • Build frameworks to validate outputs from AI/ML models, including accuracy, consistency, and regression testing, • Integrate automated testing into CI/CD pipelines to enable continuous quality validation, • Drive shift-left testing practices, embedding quality early in the development lifecycle, • Oversee performance, load, and resilience testing strategies for high-scale applications, • Partner with architecture, data, and engineering teams to ensure testability and observability, • Provide technical leadership and mentorship to QA engineers and automation teams, • Evaluate and implement modern tools for test automation, data validation, and AI testing RequirementsRequired Qualifications • 10+ years of experience in Quality Engineering, Test Automation, or QA Architecture, • Proven experience designing and implementing enterprise-level automation frameworks, • Strong hands-on experience with automation tools (e.g., Selenium, Cypress, Playwright, or similar), • Experience with API testing frameworks and microservices architectures, • Deep understanding of cloud platforms (AWS and/or Azure), • Strong experience validating data pipelines, ETL/ELT processes, and data platforms, • Experience with CI/CD tools (e.g., Jenkins, GitHub Actions, Azure DevOps) and DevOps practices, • Strong programming/scripting experience (e.g., Python, Java, or JavaScript), • Strategic thinker with the ability to design scalable QA ecosystems, • Hands-on technical leader who can both architect and execute, • Strong cross-functional collaboration skills, • Passion for building modern, automation-first quality practices, • Ability to operate in a greenfield AI environment

Job DescriptionOur client, a highly respected A-rated P&C Insurance Company, is seeking an experienced Senior Data Engineer (Azure) to join their growing IT department. This is a unique opportunity to spearhead data engineering initiatives and lead a team responsible for building and optimizing scalable data pipelines and architectures. The ideal candidate will bring a blend of technical depth, strategic thinking, and leadership experience to drive the company's data strategy forward. This role offers the flexibility to work remotely but candidate MUST reside in New Jersey or New York.Key Responsibilities: • Drive cloud-based data solutions using platforms such as Microsoft Azure (e.g., Data Factory, Synapse Analytics, Databricks)., • Actively design, build, and deploy application solutions by writing, testing, and maintaining code across the full stack or within low-code/no-code platforms as appropriate., • Work directly with stakeholders and technical partners to gather requirements and turn them into practical, scalable technical solutions., • Implement and refine application architectures, contributing code and configurations that improve performance, reliability, and maintainability., • Develop and execute automated unit and integration tests, and contribute directly to regression testing efforts to ensure high-quality releases., • Perform detailed code reviews, provide technical feedback, and apply best practices to improve overall code quality., • Collaborate daily with engineers, QA, automation specialists, analysts, and project managers to deliver features and enhancements on schedule., • Engage directly with external vendors and contract resources, supporting implementation efforts and ensuring alignment with technical standards. Qualifications / Requirements:, • 5 - 10+ years of hands-on experience in data engineering with advanced proficiency in SQL, Python, and big data tools (e.g., Spark, Databricks). Proven experience designing and managing ETL/ELT processes and pipelines in Azure or other cloud environments., • Strong foundation in application architecture and system design, with the ability to evaluate, structure, and scale solutions effectively., • Hands-on experience applying established design patterns to implement business logic within middle-tier services, leveraging web services and modern architectural principles as appropriate., • Experience building and supporting cloud-native solutions using Microsoft Azure, with exposure to services such as App Services, Azure Functions, AKS, Azure DevOps, Azure SQL, and related platform or infrastructure components., • Solid programming experience with C# and SQL, including hands-on work with SQL Server environments and associated tooling., • Demonstrated capability in designing, developing, and maintaining REST-based backend services, with familiarity in multi-layered API architectures that separate process and experience concerns., • Strong background in automated testing practices, including writing unit tests with dependency injection and mocking frameworks, as well as contributing to integration and regression testing strategies., • Practical knowledge of DevOps concepts, including CI/CD automation, pipeline configuration, and experience working within Agile delivery models., • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field from an accredited U.S. institution., • Microsoft Azure Data Engineering certification is strongly preferred.Salary / Benefits:, • $175,000 - $200,000+ annual base salary plus 10–20% performance bonus, • Flex schedule and ability to work remote, • Extremely competitive Medical, Dental, Vision, and Life insurance plans, • Employer matching 401(k) plan, • Generous PTO plan

Job DescriptionPosition Summary: The ETL Engineer is responsible for designing, developing, and maintaining data pipelines that extract, transform, and load data into analytics platforms, including SQL Server and ClickHouse for real-time and high-performance querying. This role ensures data integrity, scalability, and performance for BI, reporting, and advanced analytics. Job Responsibilities: • ETL Pipeline Development, • Design and implement ETL workflows using SQL Server Integration Services, Azure Data Factory, Databricks, and ClickHouse., • Develop transformations for structured and semi-structured data; optimize for speed and reliability., • ClickHouse Integration, • Build and maintain ingestion pipelines for ClickHouse using batch and streaming methods., • Optimize ClickHouse schemas, partitions, and materialized views for query performance., • Data Integration, • Connect multiple sources (SQL Server, APIs, cloud storage, Kafka/Event Hubs) into centralized data platforms., • Performance & Optimization, • Monitor SSIS ETL jobs and SQL Server and ClickHouse queries; tune for low latency and high throughput., • Implement compression, sharding, and replication strategies in ClickHouse., • Data Quality & Governance, • Apply validation checks, error handling, and lineage tracking., • Ensure compliance with security and governance standards., • Collaboration, • Work with data engineers, analysts, and BI teams to deliver reliable datasets., • Support real-time analytics and dashboards powered by PowerBI and ClickHouse., • Documentation, • Maintain clear documentation for ETL processes, SQL Server and ClickHouse schemas, and operational playbooks.Required Skills:, • Strong experience with ETL tools (Azure Data Factory, SSIS, Databricks)., • Proficiency in SQL and relational database concepts., • Familiarity with ClickHouse (schema design, ingestion, optimization)., • Familiarity with cloud platforms (Azure preferred)., • Programming skills in Python or Scala for data processing.Preferred Qualifications, • Experience with streaming data (Kafka, Azure Event Hubs)., • Familiarity with big data frameworks., • Understanding of DevOps practices for data pipelines., • Exposure to BI tools (Power BI, Tableau) integrated with ClickHouse.Education & Experience, • Bachelor’s degree in Computer Science, Data Engineering, or related field., • 3+ years of experience in ETL development and data integration.This is an On-Premises position. Monday through Thursday (9-5) and remote on Fridays only (No exceptions). Powered by JazzHR YEImEwwyhE

Job Description Position: Senior Vice President and Chief Development Officer (CDO) Reports to: President & Chief Executive Officer (CEO) Department: President's Office Organization Summary: United Way of New York City (UWNYC) works with a coalition of trusted partners to unite community power with citywide possibility. Together, we meet today’s most urgent needs while building transformative solutions for tomorrow — striving for health, opportunity, and prosperity for every New Yorker in every neighborhood. Part of the United Way Worldwide system, one of the world’s most recognized charitable brands, we believe that New Yorkers deserve to thrive where they live and envision a future where all New Yorkers have the resources they need to live long, healthy lives in flourishing and resilient neighborhoods. We strive to model our values in all our relationships, both internal and external: Collaboration, Compassion, Integrity, Accountability, and Superior Performance. Position Overview: Reporting to the President & Chief Executive Officer, the Senior Vice President & Chief Development Officer (CDO) will establish and lead an effective fundraising strategy. The CDO is a sounding board and strategic partner for the CEO and the Board of Directors. They are responsible for building a culture of philanthropy while creating, implementing, and monitoring a fundraising and marketing plan that involves corporate, foundation, individual and major donors, brand experiences, and digital presence. The position leads the fundraising team to increase brand awareness, visibility, and fundraising results. The CDO collaborates closely with the Executive Leadership and Community Impact teams as well as operational functions across the organization. In leading the resource development team, the CDO will articulate and advance a comprehensive vision for the organization’s fundraising efforts and work collaboratively to translate that vision into execution. The organization is currently supported by a funding mix of approximately 80 percent government revenue and 20 percent private philanthropy. Over the next three years, we aim to shift that balance to 60 percent government and 40 percent private philanthropic support. The CDO will be responsible for developing and driving the strategy to achieve this transition—setting clear goals, aligning resources and systems to meet them, and skillfully representing the organization with current and prospective donors. The CDO will also ensure staff have the support they need to thrive and grow as professionals while contributing to this strategic development effort. Responsibilities include, but are not limited to: Team Leadership • Hire, train, develop, and mentor development staff; lead a high capacity and effective team., • Serve as an inspirational leader for staff; promote a culture of strong integrity, high performance, meaningful collaboration, and continuous improvement that values commitment to equity, learning, and quality., • Provide fundraising guidance and leadership for larger, cross-departmental teams., • Build a culture where the development team partners with the programmatic teams to collaborate, and drive decisions informed by reliable market-tested data. Development Strategy and Planning • Design and implement a quantifiable and measurable fundraising strategy to achieve UWNYC's financial and brand goals, including increasing & diversifying funding, expanding digital fundraising efforts, and developing a vision for corporate engagement & individual giving., • Set yearly fundraising metrics; develop an execution plan that incorporates key marketing strategies to ensure that the goals and metrics are aligned and achieved., • Adjust fundraising plan as needed to respond to opportunities and changing funding and programmatic landscapes; ensure fundraising activities are mission-aligned and fill programmatic gaps., • Work with the Executive Leadership and Marketing teams to develop and implement public relations strategies (to include both traditional and social media) and guide UWNYC leadership in cultivating and enhancing relationships with the media, donor organizations, key stakeholders, and the general public., • Collaborate closely with the Community Impact team to understand programmatic funding needs and collectively fundraise to support those needs., • In addition to the core responsibilities outlined above, executive roles are expected to provide strategic, citywide leadership; cultivate and sustain high-impact external partnerships; and represent UWNYC across boroughs and sectors., • Executive leaders are responsible for ensuring organizational strategy, resources, and decision-making are aligned with community needs, equity priorities, and measurable outcomes., • Work closely with United Way Worldwide network to identify and secure national partnerships, grants and support. Operational Management • In collaboration with the Board committee, direct the fundraising team to solicit and secure major gifts from individual, corporate, and foundation donors. Set goals to sequentially increase the number of donors, number of gifts, and total dollars raised., • Increase giving through digital platforms and the use of social media and technology in fundraising., • Oversee the management of the donor database and provide guidance on technology needs and best practices to build an effective fundraising department., • Acting as the primary Executive Leadership Team liaison for Board engagement, establish and manage strong relationships with the Board of Directors to leverage their ability to fundraise for the organization., • Increase brand visibility and experiences; ensure brand experiences are well organized, mission-driven, and successful. Candidate Requirements: • Demonstrated passion for UWNYC's mission and core values, strong commitment to racial equity., • Bachelor's degree is required., • 15+ years of experience managing fundraising departments (non-profit and/or non-profit board experience preferred)., • Proven track record in full-cycle donor prospecting, cultivating, acquisition, solicitation and generation of charitable gifts of increasing dollar values over time, • Prior event management experience – planning, logistics, budgeting, stakeholder engagement, • A hands-on, mature, collaborative leader who has integrity, a service orientation, strong communication skills, exceptional attention to detail & project management skills, and thrives in a dynamic & entrepreneurial environment., • Experience serving as a trusted advisor to the CEO and ELT of a multi-divisional organization; strong analytical skills and experience operationalizing a strategic vision., • Experience developing, implementing, and analyzing both traditional and social media metrics., • Experience in planning, writing, editing, and producing press releases, annual reports, and marketing literature., • Documented record of success in strategic initiatives and fundraising outcomes; entrepreneurial foresight and innovative spirit to recognize future trends and new opportunities., • Ability and political savvy to build and sustain relationships with many constituencies, including corporations, major donors, innovative and non-traditional funding sources, and across internal departments., • Exceptional people management skills: experience in building, retaining, and motivating strong teams to meet goals., • Superior written and spoken communication skills., • Experience with cloud-based CRM systems (Blackbaud Raisers Edge a plus). Key Competencies: • Mission Focused: The CDO’s top priority is to create real social change that leads to better lives and healthier communities. This drives their performance and professional motivations., • Relationship Oriented: The CDO understands that people come before process and is astute in cultivating and managing relationships toward a common goal., • Superior Performance: We are a results-oriented organization working to improve the lives of all New Yorkers. Achieving meaningful change requires focus and unity of purpose. It is only through achieving meaningful goals that we will be able to fulfill our mission., • Strategic Community Collaborator: The CDO engages diverse stakeholders to accurately assess community needs and, with credibility, authenticity, and humility, strategically guides McDonald’s to contribute to the community’s priorities., • Effective and Engaging Communicator: The CDO is an effective communicator, able to understand the needs of the communities we serve., • Embracing and Managing Change: The CDO champions and facilitates change to ensure long-term community sustainability. He/she adapts successfully to changing needs while maintaining positive relationships with all constituents, both internal and external. Additional Requirements: • Successful completion of background check., • UWNYC is presently on a Hybrid/In-Person work schedule. United Way of NYC Core Competencies for All Staff • Mission Focused: Catalyze others’ commitment to the mission to create real social change that leads to better lives and healthier communities. This drives their performance and professional motivations., • Relationship-Oriented: Understands that people come before processes and is astute in cultivating and managing relationships toward a common goal., • Collaborator: Understands the roles and contributions of all sectors of the community and can mobilize resources (financial and human) through meaningful engagement, • Results Driven: Dedicated to shared and measurable goals for the common good: creating, resourcing, scaling, and leveraging strategies and innovations for broad investment and impact., • Brand Steward: Steward of the brand and understands his/her role in growing and protecting the reputation and results of the greater network. United Way of New York City is an Equal Employment Opportunity Employer