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As a Senior Principal Software Engineer at JPMorganChase in Corporate - AIML Data Platforms and the Chief Data & Analytics team, you will bring your deep expertise in Databricks and large-scale data engineering. Join JPMorgan Chase as a Senior Principal Software Engineer where you will own the Datab

A major global financial institution seeks a Senior Principal Software Engineer in Jersey City, NJ, to architect and implement data platforms.

Job Description Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Staff AI Engineer in our New York City office. About the Role: The role is for the Identity team at Applecart. The team builds and maintains best in class identity data products, tying multiple systems and data sources together. As a Staff AI Engineer, you will be responsible for leading the design and deployment of our next-generation AI-powered platforms. You will shape the technical destiny of our organization, moving beyond individual features to architect the agentic ecosystems that will handle our next phase of growth. This role will report to the Director of Engineering. What You'll Do: • Lead the design of end-to-end AI solutions using foundation models, multi-agent orchestration (MAS), and RAG pipelines. Ensure that today's technology choices support long-term scalability., • Identify systemic risks and infrastructure bottlenecks before they impact production and ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management., • Mentor other engineers. Provide design feedback that teaches thinking, recommends scalable abstractions, and builds a culture of technical excellence., • Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure., • Stay up to date with industry advancements in GenAI and apply modern technologies and methodologies to our systems., • You have 8+ years of professional software development experience, especially in the fields of data engineering and AI/ML, • Deep expertise in applied AI/ML techniques (Deep Learning, NLP, GNNs), technologies (Agentic AI, RAG, Prompt/Context Engineering), and fluency in Python or a similar backend language, • You have designed and implemented scalable data processing pipelines, and understand how to store and retrieve large sets of data, • You have experience implementing various data warehousing architectures, including products like Snowflake or Databricks, • You have proven records of leading AI/ML projects, ideally RAG applications, • Proven experience with agentic frameworks (LangGraph, CrewAI, AutoGen) and modern data infrastructure (Kafka, Spark, Vector Search)., • Hands-on experiences with graph data models and graph data processing (with graph data engines such as Neo4 or PuppyGraph) is a big plus., • You have hands-on experience in implementing the Lakehouse architecture., • You are familiar with identity resolution and have experience building identity resolution systems., • You have experience with backend API designing and implementation, • You have experience optimizing the end to end performance of distributed systems Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $200,000 - 250,000 based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 4 years, we've increased our revenue by 10X, grown our headcount by almost 5X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, and alums of top-tier organizations like Bain & Company, Amazon and Simpson Thacher., • Applecart raised a $100M Series C from Blackstone's tech growth fund at the end of 2025. The company's other investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME, Wayne Berman, Blackstone's Head of Global Government Affairs, and Risa Heller, CEO of HELLER, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV, and The Colbert Report, and in Axios, Semafor, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We're SeekingQvest.US is seeking an experienced Data & Analytics Senior Consultant to join our growing data practice. In this role, you will participate in projects that drive better data-based decision making for our clients, involving strategy and planning, data management, reporting, and data visualization. We are looking for a hands-on technical data consultant who can successfully work with client projects, teams, and stakeholders.What You'll Do • Participate on project teams through all core project phases, including project setup, requirements gathering, design, development, testing and deployment, • Perform hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks, • Be the expert in various client meetings such as stakeholder interviews & workshops, • Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication, • Proactively identify risks, issues and provide mitigation strategies, • Build and maintain strong client relationships, • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancementWhat You'll Bring, • Eagerness to participate in a best-in-class data practice, • 3+ years Project Management, Process, Implementation, and SDLC experience working closely with data professionals in an Agile environment, • Experience with client-facing activities such as requirements gathering, meeting facilitation & presentation creation, and deliverable review/approval sessions, • 5+ years in a consulting role or a data-focused role and strong experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar, • Experience designing and building relational database and/or data warehouses, • Hands-on experience with business driven / self-service BI, using tools similar to Tableau, PowerBI, Looker, etc.Preferred Additional Experience, • Experience in Media & Entertainment and/or Consumer Products industries, • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC), • Cloud computing experience, whether with AWS or other vendors, • Ability to automate data-related tasks using scripts and programming languages, • Ability to profile, explore, and analyze data to identify common data patterns, • Ability to present data solutions to business stakeholders with clear business acumen, • Bachelor’s degree in engineering, information systems, computer science, business administration, or other related analytics fields

Job DescriptionCompany Description VERSANT is a leading force in news, sports and entertainment - home to iconic and trusted brands that inspire, inform, and delight audiences. Our unique combination of content, technology and services enriches the cultural fabric, igniting passions, sparking conversations, and connecting people to what they love most. As an independent, publicly traded company, VERSANT brings together powerhouse cable networks - including USA Network, CNBC, MS NOW (formerly MSNBC), Oxygen, E!, SYFY, and Golf Channel - with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. Together, these businesses reflect our commitment to delivering exceptional experiences across every screen and service. VERSANT is an industry-changing media company fueled by innovation and an entrepreneurial spirit. With a strong foundation and a forward-looking vision, VERSANT empowers creativity, embraces change, and drives connection in an ever-evolving world. Job Description Versant Media’s Data Platforms team is the central data store across the enterprise. We unify disparate systems into a secure, well-governed, real-time data environment that powers downstream products, analytics, and content delivery experiences. We are seeking a Director, Platform Development to lead the design, buildout, and evolution of our modern data platform. This is a hands-on leadership role for someone who is equally comfortable writing production code, setting architectural direction, and managing a small but growing team. In the near term, this role will be a key individual contributor responsible for building foundational platform capabilities. Over time, the focus will shift toward people leadership, planning, and execution management as the team scales. This role reports to the VP of Data Platforms and is expected to act as a technical and operational anchor for the organization. Responsibilities • Lead the design and implementation of core backend services and data platform components using Node.js and TypeScript, • Establish and evolve platform architecture, design patterns, and engineering standards, • Own and triage intake requests, balancing short-term delivery with long-term platform health, • Partner closely with governance, analytics, and downstream consumers to ensure the platform supports:, • Scalable data ingestion and access patterns, • Lakehouse-style architectures, • ELT pipelines, • Metadata, lineage, and governance requirements, • Build and maintain CI/CD pipelines that enable safe, repeatable, and observable deployments, • Set expectations and best practices around:, • Object-oriented design and proven design patterns, • Test-driven development (TDD) and strong automated test coverage, • Secure development lifecycle (SDL) principles, • Hire, mentor, and manage engineers as the team grows, • Conduct code and design reviews, providing clear technical guidance, • Collaborate effectively in a matrixed enterprise environment with both legacy systems and modern platforms, • Gradually transition from primary IC to people and execution leadership as the platform maturesQualifications, • Deep foundation in software engineering fundamentals, including:, • Object-oriented programming, • Design patterns, • API and service design, • Solid understanding of data engineering concepts, including:, • Lakehouse architectures, • ELT pipelines, • Data governance, metadata, and lineage, • Experience building modular or microservice-based systems, • Demonstrated experience leading or mentoring engineers (formal people management experience preferred, but not required), • Strong commitment to code quality, testing, and automation, • Hands-on experience with CI/CD pipelines and modern DevOps practices, • Comfortable operating with a high degree of ownership in a lean, fast-moving environment, • Experience with ML platforms or services (e.g., Databricks, AWS Bedrock), • Familiarity with analytics and BI tools (Tableau, Power BI, or similar), • Experience working in media, streaming, or large-scale enterprise environments We are accepting applications for this position on an ongoing basis. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. For LA County and City Residents Only: VERSANT Media will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job Description About Us Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Senior Technical Product Manager, Data Infrastructure in our New York office. About the Role: You will be responsible for defining and driving the product architecture, roadmap, and prioritization for data lakehouse architecture in alignment with Applecart's business and data practices. Additionally, be the champion for best practices in release engineering, observability, and data governance. In this position, you will work with the data infrastructure, research, and measurement teams. This role will report to the Director of Product Management. What You'll Do: • Define and lead the product vision for core areas of Applecart's internal data platform, including capabilities such as metadata management, data classification, observability, and identity resolution., • Own the product roadmap and prioritization process in close collaboration with engineering, analytics, data scientist and legal teams., • Translate data consumption/ creation, internal use cases, and stakeholder feedback into clear, structured product requirements., • Partner with Data Engineering to deliver scalable, reliable data pipelines and platform services using technologies such as Snowflake, Databricks, Airflow, and dbt., • Guide adoption of data infrastructure and tooling across teams by ensuring it meets the needs of data producers and consumers alike., • Define and track success metrics that demonstrate impact on data availability, trust, usability, or activation., • 6+ years of experience in product management, with at least 3+ years focused on data platforms, infrastructure, or enterprise SaaS environments., • Experience owning platform, infrastructure, or customer data products in a data-rich environment., • Strong written and verbal communication skills., • Impeccable attention to detail and superior organizational skills., • Proficiency in SQL—enough to engage meaningfully with technical stakeholders and dive into data use cases., • Familiarity with data observability platforms or privacy and compliance frameworks., • Background implementing or scaling internal data catalogs, customer data platforms, or data activation pipelines., • Strong technical background with working knowledge of AWS, Snowflake, dbt, and cloud-native data architectures., • Proficiency in Agile development practices and tools—roadmapping, story writing, backlog grooming, and sprint planning., • Familiarity with Git-based code management and SDLC workflows., • Experience driving adoption of observability and monitoring practices across infrastructure products., • Deep understanding of data governance, including data security, privacy regulations, and compliance standards., • Prior experience as a software or data engineer is a plus., • Experience with AI/ML workflows is a plus. This is a hybrid role. Work from home on Monday and Friday and in Applecart's New York City office Tuesday through Thursday. Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $160,000 to $195,000, based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 3 years, we've increased our bookings by 10X, grown our headcount by 4X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, a former CRO of a high-growth tech company with hundreds of millions in ARR, and alums of top-tier organizations like Bain, Amazon and Simpson Thacher., • Our investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV and The Colbert Report, and in Axios, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job DescriptionJob Title: Senior Data EngineerPosition Summary We are seeking a highly experienced Senior Data Engineer to support the design, development, and optimization of large-scale data platforms within a financial services environment. This role focuses on building robust data pipelines, enabling advanced credit risk analytics, and ensuring compliance with regulatory standards. The ideal candidate will bring deep expertise in credit and counterparty risk, modern data engineering technologies, and cloud-based data platforms, while collaborating closely with cross-functional teams including risk, quant, and compliance stakeholders. Key ResponsibilitiesData Architecture & Engineering • Lead architecture and technical design discussions for credit risk data platforms, • Design and implement scalable batch and streaming data pipelines using PySpark, • Build ingestion frameworks for structured and unstructured data from upstream systems into cloud storage (e.g., S3/ADLS), • Implement data processing workflows using Medallion Architecture (Bronze, Silver, Gold layers)Data Processing & Optimization, • Develop and optimize transformation logic for large-scale financial datasets, • Ensure high data quality, auditability, and regulatory compliance, • Apply optimization techniques such as partitioning, indexing, and schema evolution, • Model and optimize risk metrics (e.g., PD, LGD, EAD, EPE, PFE, CVA) for analytics and reportingPlatform Integration & Operations, • Integrate with external risk engines and support orchestration of complex batch processes, • Ensure platform reliability, observability, and data lineage tracking, • Implement and maintain security standards (IAM, encryption, authentication protocols), • Troubleshoot production issues and provide ongoing supportCollaboration & Documentation, • Collaborate with data scientists, risk analysts, and business stakeholders, • Contribute to API design and data contracts for internal and external consumers, • Maintain comprehensive technical documentation for audit and compliance purposes, • Participate in Agile development processes and ceremoniesRequired Qualifications, • 12+ years of experience in data engineering or data development, • Strong experience within financial services, particularly credit or counterparty risk, • Expertise in regulatory frameworks such as Basel III/IV, IFRS 9, CECL, or FRTB, • Advanced proficiency in Python and PySpark / Apache Spark, • Hands-on experience with cloud platforms and data lake technologies (e.g., Databricks, Delta Lake), • Strong SQL skills including complex queries, joins, and performance optimization, • Experience building data pipelines from multiple financial data sources, • Familiarity with workflow orchestration tools (e.g., Airflow or similar), • Experience with CI/CD tools such as Git, Jenkins, or Azure DevOps, • Cloud certification (e.g., AWS Certified Cloud Practitioner or equivalent)Preferred Qualifications, • Experience with large-scale financial risk systems and analytics platforms, • Background in designing data architectures and maintaining data dictionaries, • Experience working in Agile environments using tools such as JIRA or Confluence, • Exposure to modern data governance and compliance practicesSkills & Competencies, • Strong analytical and problem-solving abilities, • Excellent communication skills with both technical and non-technical stakeholders, • Ability to work collaboratively with cross-functional teams, • High attention to detail and commitment to data quality, • Proactive, self-driven mindset with continuous learning approachWork Environment, • Fast-paced, data-driven financial services environment, • High level of collaboration with global teams

Job Description About Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. Senior Data Engineer Are you an experienced Data Engineering professional with a passion for building scalable, reliable, and high-performance data systems? Do you have hands-on experience designing and optimizing end-to-end real-time and batch pipelines, and developing cloud-native data architectures using modern technologies such as AWS, GCP, Azure, Databricks, and Snowflake? We are looking for a Senior Data Engineer to architect, design, and implement scalable, high-performance data solutions. The ideal candidate will be an expert in at least one major cloud data ecosystem (AWS, Azure, GCP, Snowflake, or Databricks) and possess a deep understanding of the end-to-end data lifecycle, from ingestion to business intelligence. Qualification & Skill Set Requirements Core Technical Competencies Experience: 5+ years of hands-on data engineering experience in a production environment. Languages: Strong proficiency in Python, SQL (complex queries, performance tuning), and PySpark/Apache Spark. Data Modeling: Expert knowledge of data modeling (3NF, Star, Snowflake Schema) and Lakehouse/Warehouse architectures. ETL/ELT & Orchestration: Proven experience building pipelines using tools like dbt, Airflow, Dagster, or native cloud orchestrators (Glue, Data Factory, Composer). Integrations: Experienced in integrating data from diverse sources: APIs, RDBMS/NoSQL databases, flat files, and streaming platforms (Kafka, Kinesis, Pub/Sub). Cloud Platform Expertise (Specialization-Specific) Candidates should demonstrate deep expertise in anyone of the following: Snowflake: SnowSQL, Streams, Tasks, Snowpark, and cost optimization. Databricks: Delta Lake, Unity Catalog, Delta Live Tables (DLT), and Spark optimization. GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Functions. Azure: Synapse Analytics, Data Factory, Azure Databricks, and Stream Analytics. AWS: Redshift, S3, Lake Formation, Glue, and Lambda. Professional Practices SDLC & DevOps: Proficient in Git workflows, CI/CD pipelines (GitHub Actions, Azure DevOps, AWS CodePipeline), and IaC (Terraform/CloudFormation). Data Governance: Strong understanding of data quality, lineage, observability, security (RBAC, encryption), and compliance frameworks. Agile: Active experience in Agile/Scrum environments using Jira or Azure Boards. Mentorship: Ability to lead projects and provide technical guidance to junior/mid-level engineers. Responsibilities Architecture: Architect, design, and implement scalable, reliable data solutions and pipelines aligned with business analytics needs. Optimization: Manage and fine-tune cloud resources and workloads for maximum performance, reliability, and cost-efficiency. Data Transformation: Lead the development of ETL/ELT processes for both batch and real-time data processing. Collaboration: Partner with Product, Engineering, and Data Science teams to deliver effective, data-driven solutions. Governance & Quality: Promote and enforce best practices in data governance, security, and data quality frameworks. Mentorship: Provide technical leadership and mentorship to the team, ensuring architecture quality and best practices. Documentation: Maintain comprehensive documentation of data architectures, configurations, and workflows. Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation. RdEDRGP9Ti

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

Job DescriptionSenior Data Engineer – Credit Risk (Hybrid) Location: New York, NY 10020 (Hybrid) Duration: 1-Year Contract (Possible Extension) Interview Process: 2 Virtual Teams Interviews + 1 Onsite Interview Position Overview "Navitas Partners, LLC" is seeking a highly experienced Senior Data Engineer to join a Credit Risk technology team supporting enterprise-scale risk data platforms. The ideal candidate will lead architecture discussions, design scalable data pipelines, and ensure reliable, compliant, and high-quality data processing across modern cloud-based lakehouse environments. This role requires deep expertise in financial data engineering, credit risk domains, and large-scale distributed data processing using PySpark and Databricks. Key Responsibilities • Lead architecture and technical design discussions for Credit Risk data platforms using modern data engineering frameworks and cloud-native technologies, • Design and implement scalable batch and streaming data pipelines using PySpark within a Medallion Lakehouse architecture on Databricks, • Build and maintain data ingestion pipelines from upstream systems (loan origination, trading systems, market data feeds) into cloud storage (S3/ADLS) using Parquet and Delta Lake formats, • Implement partitioning strategies, Z-order optimization, and schema evolution for high-performance data processing, • Develop and optimize large-scale PySpark transformations for credit and counterparty risk datasets ensuring accuracy, auditability, and regulatory compliance across Bronze, Silver, and Gold layers, • Support modeling and optimization of risk metrics including PD, LGD, EAD, EPE, PFE, CVA for downstream analytics and reporting, • Integrate with external risk/XVA engines and manage orchestration of long-running batch computations, • Ensure platform reliability, observability, lineage tracking, security, and regulatory compliance (Basel III/IV, FRTB, CECL), • Design and maintain APIs, data contracts, and technical documentation aligned with audit and compliance standards, • Collaborate closely with risk, quant, compliance, and engineering teams to deliver scalable data solutionsRequired Qualifications, • 12+ years of experience in data engineering or data development, preferably in financial services or banking, • Strong domain expertise in Credit Risk and Counterparty Risk, • Familiarity with regulatory frameworks such as Basel III/IV, IFRS 9, CECL, FRTB, • Expert-level proficiency in Python and PySpark/Apache Spark, • Hands-on experience with Azure Databricks, Delta Lake, and Medallion Architecture, • Strong SQL skills including joins, window functions, and performance optimization on large datasets, • Experience building ingestion pipelines from core banking, trading, and market data systems, • Knowledge of workflow orchestration tools such as Airflow or Databricks Workflows, • Experience with CI/CD tools including Git, Jenkins, and Azure DevOps in regulated environments, • Understanding of cloud platforms (AWS certification or equivalent preferred), • Experience producing architecture diagrams, data flow documentation, and data dictionaries, • Agile delivery experience using tools such as JIRA, Confluence, and Zephyr, • Strong communication skills with ability to bridge technical and risk/business stakeholdersPreferred Attributes, • Strong focus on data governance, data quality, and regulatory compliance, • Experience working with quant teams and risk modeling systems, • Ability to quickly adapt to evolving financial technologies and regulatory requirements, • Proactive, collaborative, and detail-oriented mindset in high-stakes environments For more details reach at About Navitas Partners, LLC: It is a certified WBENC and one of the fastest-growing Technical / IT staffing firms in the US providing services to numerous clients. We offer the most competitive pay for every position. We understand this is a partnership. You will not be blindsided and your salary will be discussed upfront.

Job Description Our client is an AI-powered Healthtech software startup in New York City, NY building infrastructure solutions to automate administrative tasks for the healthcare industry, reducing processing time, errors and ultimately resulting in cost savings and improved patient outcomes. Qualified candidates will have a minimum 3+ years of hands-on professional experience building data pipelines, data warehouses and analytics infrastructure in production environments. Applicants must have hands-on experience with the following technologies: SQL, Python (or R), at least one modern data warehouse (Databricks, Redshift, Snowflake, BigQuery) and RDBMS (Postgres, MySQL). BSCS or equivalent is required and top-tier universities are preferred. Candidates should have startup experience and the desire to work in a fast-paced environment. The Data Engineer will build data pipelines, ETL/ELT with modern orchestration tools (Airflow, DBT, Dagster), and any experience in Healthtech and/or HL7 or regulated data environments are a plus. The role features competitive base salary, equity and comprehensive benefits. Please send your resume to for consideration.

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 Description Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Senior Data Engineer in our New York City office. About the Role: As a Senior Engineer on the Data Products team, you will expand Applecart's data-mining capabilities to uncover deeper and more impactful connections within decision-maker networks. In this role, you'll work on ETL pipelines, APIs, and algorithms within a service-oriented architecture, helping to drive the team's technical evolution. You'll be part of a colocated, hybrid-remote group of collaborative engineers focused on delivering business value continuously. Together, you will own and enhance integrations with external APIs, large-scale batch data processing pipelines, and network-building algorithms, while contributing to the design and development of a centralized data Lakehouse architecture. As a senior team member, you'll collaborate closely with Product and Technology leadership to shape the future direction of Applecart's technology. Who You Are: You are a veteran software developer specialized in large scale data engineering. You have a long track record delivering products and collaborating with Product managers. You help define and evangelize coding best practices and enjoy coaching less experienced team members. Experiences and Capabilities You Bring: • You have 6+ years of professional software development experience, • You have strong computer science fundamentals, • You have designed and implemented scalable data processing pipelines, • You have worked with all types of storage/persistence engines, and know their applications: relational databases, document databases, key/value stores, etc…, • You have experience implementing various data warehousing architectures, including products like Snowflake or Databricks, • You are familiar with Lakehouse architecture and open file format (e.g. Apache Iceberg, Apache Hudi, Delta, etc), • You are a SQL expert, • You have experience with distributed computing and know the strengths/weaknesses of different frameworks (should include Apache Spark), • You manage AWS resources using infrastructure-as-code Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $160,000-$200,000, based on the candidate's experience and skills relative to the requirements above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 4 years, we've increased our revenue by 10X, grown our headcount by almost 5X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, and alums of top-tier organizations like Bain & Company, Amazon and Simpson Thacher., • Applecart raised a $100M Series C from Blackstone's tech growth fund at the end of 2025. The company's other investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME, Wayne Berman, Blackstone's Head of Global Government Affairs, and Risa Heller, CEO of HELLER, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV, and The Colbert Report, and in Axios, Semafor, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job Description Company Description Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights. With decades-long expertise in the financial services industry and a relentless focus on the future, Curinos technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to market decisions in an increasingly competitive market. Curinos operates in a hybrid/remote model, and this position is fully remote in the United States or hybrid in the Greater New York, Boston or Chicago metropolitan Job Description Curinos is seeking a Head, AI Platform Engineering to lead the AI Platform team building the foundational AI capabilities that enable compliant, safe, production-grade AI in our B2B SaaS Decision Intelligence Platform in the FinTech vertical. The AI Platform is a force multiplier at Curinos. This role is responsible for making advanced AI—LLMs, agents, and tools—reliable, governed, and easy to ship, so product teams can focus on delivering client value. You will lead a talented team of AI scientists and ML engineers, work with product managers, and partner with Data Platform and client-facing product teams in bringing to life LLM-powered features, agentic/tool‑calling workflows, and MCP server–based tool integrations. As a company that specializes in data-driven insights in a highly regulated industry, the reliability, scalability, and effectiveness of our AI platform are integral to our product offerings. This role requires deep technical expertise, strategic thinking, and strong collaboration across engineering, data science, and product teams, as well as the skill to manage and mentor team members in their professional development. You will exercise your executive presence to influence internal stakeholders, including executive leadership, and represent Curinos AI with clients and external technology partners. Responsibilities • Own a pragmatic AI Platform roadmap focused on reuse, adoption, and production readiness of components that reduce friction and accelerate AI feature delivery across product teams, • Lead the design, engineering, delivery of scalable AI platform services, (e.g., extraction, assistants, chatbots) agentic / tool‑calling workflows, LLM‑backed systems, • Drive adoption and integration of MCP servers in our products as a first‑class mechanism for exposing tools and data to agents, using standardized, governed patterns, • Ensure observability of quality, safety, latency, costs across all AI-enabled products, including guardrails, evaluation patterns and safe defaults, consistent with company-wide standards of governance, • Lead and grow a team of AI engineers, setting a high technical bar through architecture reviews, coaching, SDLC, CI/CD, and clear ownership expectations, • Represent AI Platform with executive leadership, working closely with product managers, product teams and external technology partners Base Salary Range: $160,000-$220,000 (plus Bonus) Desired Skills & Expertise • Significant experience (10+yrs) and demonstrable track record leading data science, AI, engineering teams building and operating production platforms, • Hands‑on experience with LLM‑based systems, agentic or tool‑calling architectures, MCP servers and/or ML/AI services in production, • Experience with cloud platforms and strong working experience of data science, AI, and ML frameworks; Databricks and PySpark highly preferred, • You have exceptional communication skills that can be delivered in the context of your audience from deep science to business decision-makers, • You possess strong interpersonal skills and an ability to influence others around you towards data-driven business goals, • You can quickly pivot and act with agility as dictated by the needs of the business, • You hold an advanced degree (PhD preferred) or equivalent career experience in Applied Mathematics, Statistics, Engineering, Computer Science, or a related technical discipline Why work at Curinos? • Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from, • Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!, • Unlimited PTO policy, floating holidays, volunteering days and a day off for your birthday, • Learning and development tools to assist with your career development, • Work with industry leading Subject Matter Experts and specialist products, • Regular social events and networking opportunities, • Collaborative, supportive culture, including an active DE&I program, • We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! Inclusivity at Curinos • We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.

Job DescriptionCompany Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok. Job Description Join an inclusive, collaborative Business Technology team as a Principal Cloud Architect in AbbVie BTS. In this role, you will serve as a technical visionary, shaping enterprise cloud strategy and driving innovation in a global, highly regulated environment. You’ll lead the design and implementation of cloud-native architectures—primarily on AWS—while ensuring alignment with business objectives. Partnering with multidisciplinary teams and specialized architects in Security, Data, Network, Application, and UX, you will integrate cloud solutions across Enterprise Architecture to enhance product delivery and accelerate adoption of modern platforms. In this role you’ll be responsible for: * Define, drive, and continually refine the enterprise cloud architecture strategy, ensuring alignment with organizational vision, business objectives, and compliance standards (i.e., GxP). * Lead the architecture, design, and hands-on implementation of secure, resilient, and scalable AWS-centered solutions, leveraging strategic use of services such as EC2, S3, ECS, EKS, Lambda, Aurora, DynamoDB, RDS, and EventBridge. * Develop, evaluate, and endorse architectural diagrams and comprehensive documentation for cloud solutions, ensuring alignment with best practices and collaboration across technical and business stakeholders. * Oversee design and automation of cloud infrastructure using Infrastructure as Code (CloudFormation, AWS CDK, Terraform, Pulumi, Ansible), fostering reliable, repeatable cloud deployments at scale. * Lead the strategic architecture for multicloud and hybrid data platforms—primarily AWS (Glue, Athena, Redshift) and Azure Data Lake—defining standards, governance, and engineering patterns for regulated analytics pipelines and enterprise data lakes leveraging technologies such as Spark, Databricks Lakehouse, and cloudnative services. * Drive DevOps & automation excellence: design, implement, and govern robust CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, CircleCI, Azure DevOps, AWS CodePipeline/CodeBuild), ensuring efficient application delivery and automated infrastructure management. * Champion the AWS Well-Architected Framework by embedding its pillars (operational excellence, security, reliability, performance efficiency, cost optimization) into enterprise practice and conducting regular reviews for continuous improvement. * Lead the strategic architecture for containerized (EKS, ECS, Fargate) and serverless (Lambda, Step Functions, EventBridge) platforms, setting direction, standards, and decision frameworks that enable scalable and costefficient microservices, batch, and eventdriven systems. * Ensure robust security and compliance within all cloud implementations, including access controls (IAM), data encryption, management of validated environments, and close collaboration with compliance and audit teams. * Architect solutions for modernization and migration of on-premises applications, data, and infrastructure to scalable, secure, and cost-effective cloud-native solutions, leveraging automation, best practices, and compliance standards throughout the process. * Set the strategic direction for cloud guardrails—spanning landing zones, account and network patterns, IAM boundaries, encryption, logging, tagging, and policyascode—to ensure enterprisealigned risk, security, and compliance across AWS and Azure. * Serve as a technical authority and mentor—influencing stakeholders, guiding engineers, and reviewing designs to raise the overall architecture bar. * Architect observability solutions with best practices from the industry * Use AI/MCP-enabled capabilities to quickly validate cloud designs, enable guided best-practice workflows with auditability, and enhance infrastructure management through ergonomic, automated actions. * Oversee cloud cost management by monitoring and optimizing cloud service expenses and implementing tagging and financial governance across multi-cloud environments. * Guide operational leadership through incident and problem management, continuous infrastructure reliability improvement, and engagement with application teams on innovative proof-of-concept pilots (AI and cloud advancements). * Present and communicate cloud architecture strategies, roadmaps, and solutions effectively to both senior leaders and peer architects, fostering organization-wide architectural alignment. * Build and maintain strategic relationships with affiliates, partners, vendors, and the broader industry to advance technology initiatives in alignment with corporate values. Qualifications Required: • Bachelor's Degree with 9 years’ experience; Master's Degree with 8 years’ experience; PhD with 4 years’ experience. AWS Core: EC2, VPC, S3, ECS, EKS, RDS, Lambda, DynamoDB, EventBridge, CloudWatch * Multi-cloud & Data: Azure, Azure Data Lake, Databricks, Athena, Redshift * IaC: CloudFormation, AWS CDK, Terraform, Ansible * DevOps/Automation: Jenkins, GitHub, Azure DevOps, AWS CodePipeline/CodeBuild, Git, PowerShell, Python, Bash * Security & Compliance: IAM, encryption standards, compliance with GxP, 21 CFR Part 11, HIPAA, GDPR * Networking: VPC, subnetting, VPN, Direct Connect, routing, load balancing * Monitoring: AWS CloudWatch, Datadog, New Relic * Communication & Leadership: Excellent verbal/written communication to technical and non-technical audiences; ability to foster cross-functional collaboration and document/present technical solutions Preferred: * Cloud Architecture – 9+ years of experience in designing and supporting multi-cloud infrastructures, focusing primarily on AWS (required) and Google Cloud (GCP) & Azure (optional) (Candidates with a master’s degree must have 8+ years, PhD must have 5+ years). Industry experience is a plus. * AWS Environment – Demonstrated expertise in deploying, managing, and optimizing large-scale AWS environments for performance, scalability, and resilience, while applying AWS Well-Architected Framework principles to ensure security, reliability, cost efficiency, and operational excellence. * CI/CD Pipelines – Proven track record in architecting and managing robust CI/CD pipelines using AWS technologies to drive software development efficiency and speed. * Certifications – Holds AWS Certified Solutions Architect (Professional), AWS Certified DevOps Engineer, and AWS Certified Cloud Practitioner certifications. Security credentials like CISSP or CCSP are advantageous. * AWS Services Expertise – Strong knowledge of AWS core services (EC2, VPC, S3, RDS) combined with advanced skills in AWS Lambda, DynamoDB, ECS, EKS, and Fargate for developing scalable, serverless, and containerized applications. * Infrastructure as Code & Automation – Advanced use of CloudFormation and Terraform for IaC; proficient with automation tools such as Jenkins, Ansible, Git, and scripting with Python, Bash, and PowerShell to drive strategic cloud optimization. * Service Delivery – Demonstrate proficiency in using agile tools such as Jira to manage and deliver product-based cloud solution releases efficiently. * Security & Compliance – In-depth knowledge of cloud networking, IAM, security protocols, and compliance standards to deliver secure and efficient cloud environments. * Monitoring & Governance – Experience with AWS management and governance tools, alongside monitoring solutions like AWS CloudWatch and other third-party options enhanced by utilizing security tools like Wizio. * High Availability & Resilience – Expertise in architecting high availability and disaster recovery solutions on AWS, ensuring business continuity and operational resilience. * Communication & Leadership – Ability to convey complex technical concepts to diverse audiences, from business to technical stakeholders, fostering collaboration and alignment. * Innovation – Strong command of integrating emerging AWS technologies to stay at the forefront of cloud innovation and maintain a competitive advantage. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: * The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this postingbased on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately paymore or less than the posted range. This range may be modified in the future. * We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and untilpaid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Architect and implement a robust data lakehouse solution using the AWS ecosystem (S3, Glue, Redshift/Athena), and potentially onboard Databricks. You will lead the migration from a legacy setup to a modern, scalable AWS ecosystem, establishing the data governance, MLOps, and AIOps frameworks that wi

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. The Role We're seeking a Senior Data Scientist to lead the science behind a best-in-class ticketing experience for fans, with a focus on the operational journey from ticket purchase through event entry. In this role, you will own and develop predictive and decisioning models that proactively identify and mitigate fulfillment issues, strengthen inventory validation, and optimize customer service policies — all while balancing fan experience with operational constraints. You will work on problems where getting it right matters: predicting issues before they impact fans, identifying emerging pain points at scale, and turning moments of potential failure into opportunities to build trust and loyalty. This includes building and productionizing models on both structured and unstructured data, such as LLM-backed pipelines that extract actionable signals from customer communications and support interactions. You will partner closely with product managers, analytics engineers, operations leaders, and other data scientists to translate ambiguous business problems into durable, production-ready data products, and to influence decisions that measurably improve the fan experience. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA What You'll Do • Own the science behind ticket fulfillment: Drive reliability, ease of use, and customer satisfaction by crafting and deploying scalable, production-grade machine learning models that directly inform operational systems and decisions., • Drive data-informed strategy: Work with operations partners to shape roadmaps, using analysis and modeling to identify, prioritize, and size high-impact opportunities that can be implemented and sustained at scale., • Design for validation: Apply principles of experimentation and causal inference to ensure work products can be rigorously evaluated, defining offline validation and online testing strategies early in the design process., • Build the data foundation: Partner with platform and analytics teams to ensure data availability and quality, including event instrumentation, batch and streaming ETL, feature stores, and monitoring for model performance, bias, and drift., • 5+ years of industry experience in data science or machine learning, with an MS or PhD in mathematics, statistics, computer science, or a related quantitative field preferred., • Strong programming skills in Python, with experience using numerical and machine learning libraries such as Pandas, NumPy, SciPy, scikit-learn, and gradient-boosting frameworks (e.g., LightGBM, XGBoost)., • Demonstrated experience building, deploying, and iterating on production machine learning models in cloud environments (e.g., AWS, Azure), including post-deployment monitoring and improvement., • Expertise working with large-scale data using modern analytics and compute platforms such as Snowflake, BigQuery, or Databricks, with strong proficiency in SQL., • Proven ability to establish data science methodology in new or ambiguous domains, owning work end to end—from stakeholder alignment and problem framing to delivery and measurable impact., • Experience applying machine learning to operational problem spaces such as ticket fulfillment, fraud detection, customer service, or trust and safety., • Experience with production ML platforms and workflows, such as Metaflow or comparable systems (e.g., Airflow-based ML pipelines, Kubeflow, SageMaker Pipelines, Prefect, Flyte), including model versioning, scheduling, and monitoring., • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.

Job Description Reporting to the Director of Program Management, the Product Manager – Business Services will join a team of high performing and collaborative professionals, working closely together on the development and execution of Brookfield Renewable’s growth strategies in North America. The Product Manager role will be responsible for identifying and supporting of a variety of process improvements and revenue enhancement initiatives with business groups. They will need to work with teams across internal business units to diligence opportunities, develop business cases and complete projects in parallel to ensuring that the value drivers in the business cases are realized. The Product Manager has accountability for identifying ways to drive additional value from the platforms which includes strategy development and the implementation of the solution and support model. This position will work closely with internal customers and external vendors to ensure the platforms are satisfying the business’ needs; this could include day-to-day support, developing and managing product roadmaps and enhancements, and managing third party providers relevant to products in scope. Responsibilities: • Own the lifecycle of assigned business applications (Salesforce, Sirion Labs), ensuring product health, vendor management, and stakeholder satisfaction., • Provide a supporting role for Workday by partnering with business stakeholders to identify improvement opportunities and coordinate with the application owner for delivery., • Adapt to evolving priorities, taking on new responsibilities as business needs shift., • Identify opportunities for optimization and innovation, driving cost savings, efficiency, and business transformation., • Partner with business and IT stakeholders to define requirements, outcomes, and ensure technology supports current and future digital transformation initiatives., • Work with leadership to prioritize initiatives and develop business cases to justify projects., • Lead multiple projects in parallel, managing scope, schedule, and budget while ensuring business outcomes are achieved., • Must be self-driven and lead through influence with the ability to simplify complex problems, advocate for solutions, and speak their opinion., • Promote the adoption of AI tools across the organization by promoting awareness, engagement, and practical usage., • University degree in Business Administration, Computer Science, or Engineering, • Experience leading medium to large projects, possessing a well-rounded technical background., • Experience with Salesforce (CRM), Sirion (CLM), Workday (HRIS) or similar enterprise solutions is preferred., • Experience with AWS tools, Databricks, Power BI, Alteryx, and Tableau is a plus., • Experience or certification in Lean Six Sigma, Agile, or PMP is a plus., • Excellent interpersonal, organizational, written, and oral communication and presentation skills, with proven experience writing and delivering presentations Our origin as owner/operators of high-quality businesses allows us to leverage our unique operational expertise to grow the businesses we own on behalf of our clients. We put our own capital to work alongside our partners’ in nearly every transaction, ensuring strong alignment of interests.Brookfield is a leading global investment firm with over $1 trillion of assets under management. We invest on behalf of institutions and individuals around the world with the goal of helping them to create long-term, sustainable wealth.\r\n\r\nOur origin as owner/operators of high-quality businesses allows us to leverage our unique operational expertise to grow the businesses we own on behalf of our clients. We put our own capital to work alongside our partners’ in nearly every transaction, ensuring strong alignment of interests.

Job Description We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. Primary skillset: Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to have: Informatica/ETL. Responsibilities • Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform, • Document component design for developers and for broader communication., • Understand and adopt an Agile (SCRUM like) software development mindset, • Follow established processes/standards, business technology architecture for development, release management and deployment process, • Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews., • Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements., • Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies., • Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements., • Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems. Requirements • Proven working experience as a data engineer, • Bachelor degree or equivalent in Computer Science, • Skilled in Python object-oriented programming, • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS, • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora, • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager, • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms, • Skilled in SQL, • Skilled in Jenkins, • Skilled in JSON, • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica, • Skilled in cloud technologies and cloud computing, • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere, • Determining causes of operating errors and taking corrective action, • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data, • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB, • Programming including coding, debugging, and using relevant programming languages, • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc., • Ability to frame ideas as systems and analyzing the inputs, outputs, and process, • Experience helping an organization to plan and manage change in effort to meet strategic objectives, • Adept at managing project plans, resources, and people to ensure successful project completion, • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal

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 DescriptionWHO WE ARE Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for all. CR is known for our rigorous testing and trusted ratings on thousands of products and services. We report extensively on consumer trends and challenges, and survey millions of people in the U.S. each year. We leverage our evidence-based approach to advocate for consumer rights, working with policymakers and companies to find solutions for safer products and fair practices. Our mission starts with you. We offer medical benefits that start on your first day as a CR employee that include behavioral health coverage, family planning and a generous 401K match. Learn more about how CR advocates on behalf of our employees. OVERVIEW AI and machine learning are redefining how CR serves consumers—helping people make informed choices through intelligent, data-driven experiences. The Full-Stack Software Engineer – AI/ML & Data Science will design, build, and deploy modern web applications and Services that operationalize AI and ML capabilities. Reporting to the Associate Director, AI/ML & Data Science, this role bridges cutting-edge data science with production-grade software, developing user-facing tools, APIs, and services that make AI models accessible and impactful. If you love working across the full technology stack—turning AI models and data into products that empower millions—this is the role for you. This is a hybrid position. This position is not eligible for sponsorship or relocation assistance. How'll You'll Make An Impact: As a mission-driven organization, Consumer Reports is pursuing an ambitious AI strategy designed to drive value for our customers, empower our employees with next-generation tools, and address AI harms in the digital marketplace. Join our Data Office and help execute on a strategic, multi-year roadmap focused on advancing Machine Learning and Generative AI initiatives. As a Full-Stack Software Engineer on the team you will: • Design and develop full-stack web applications, Data APIs, analytics dashboards that integrate AI/ML models., • Build and maintain backend services and APIs using Python (FastAPI, Django) and Node.js, integrating with Databricks, AWS SageMaker, or similar platforms., • Develop intuitive, responsive front-end interfaces using React.js, Next.js, JavaScript, and CSS (TailwindCSS or similar)., • Deploy scalable, cloud-native applications leveraging AWS, GCP, or Azure infrastructure., • Work with AI/ML engineers to implement Retrieval-Augmented Generation (RAG) pipelines, vector databases, and AI model endpoints., • Implement secure authentication, data access, and API management for consumer and internal applications., • Build CI/CD pipelines, automate testing, and optimize system performance for production workloads. You'll Be Highly Rated If: • You have the experience. 5+ years of experience building full-stack applications in production using Python, Javascript, SQL/NoSQL systems and frameworks., • You have the education. You've earned a Bachelor's degree in Computer Science, Engineering, or a related field., • You have experience integrating software systems with AI/ML services, Data APIs, or model endpoints., • You thrive on building software that bridges complex AI models with real-world use., • You enjoy working across frontend, backend, and cloud systems to deliver complete solutions. At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation.The target salary range for this position is $100K-$120K. It is anticipated that most qualified candidates will fall near the middle of this range. Compensation for the successful candidate will be informed by the candidate's particular combination of knowledge, skills, competencies, and experience. We have three locations: Yonkers, NY, Washington, DC and Colchester, CT. We are registered to do business in and can only hire from the following states and federal district: Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, Texas, Vermont, Virginia and Washington, DC. Salary ranges • NY/California: $120K-$140K annually, • DMV/Massachusetts: $115K-$135K annually, • Colchester, CT and additional approved CR locations: $100K-$120K annually Consumer Reports is an equal opportunity employer and does not discriminate in employment on the basis of actual or perceived race, color, creed, religion, age, national origin, ancestry, citizenship status, sex or gender (including pregnancy, childbirth, related medical conditions or lactation), gender identity and expression (including transgender status), sexual orientation, marital status, military service or veteran status, protected medical condition as defined by applicable state or local law, disability, genetic information, or any other basis protected by applicable federal, state or local laws. Consumer Reports will provide you with any reasonable assistance or accommodation for any part of the application and hiring process.

Job Description Be Part Of A High-Performing Team: Join a large, globally recognized financial services environment where cybersecurity, data governance, and operational resilience are mission-critical. This team sits at the intersection of information security, insider risk, and data engineering, supporting initiatives that strengthen enterprise protection through better visibility, centralized governance, and scalable data platforms. The environment is collaborative, delivery-focused, and highly cross-functional, with close partnership across security engineering, data operations, and business-aligned data owners. This role offers the chance to contribute to a high-impact modernization effort focused on building a more unified and actionable cybersecurity data ecosystem. What’s In Store For You: Engagement: W2 only (no C2C/1099) This opportunity offers the chance to work on a long-term cybersecurity data initiative in a hybrid setting, partnering with teams responsible for insider risk, data operations, and security engineering. The role provides exposure to enterprise-scale Azure data architecture, modern lakehouse design, and secure ingestion frameworks supporting sensitive risk and governance programs. It is well suited for a senior engineer who enjoys blending hands-on development with cross-functional technical partnership and agile delivery ownership. How You Will Make An Impact: • Design and build secure, scalable Azure-based data pipelines supporting a centralized cybersecurity data lakehouse, • Develop ingestion frameworks for data tied to insider risk programs, including DSPM, DLP, and related security data domains, • Partner with data owners, insider risk stakeholders, and security engineering teams to translate data requirements into technical solutions, • Help standardize and govern data flows that improve visibility, access, and operational control across the security ecosystem, • Serve as a technical liaison across multiple teams, driving alignment on dependencies, timelines, and delivery expectations, • Provide routine updates to sprint plans and ensure work progresses in line with internal agile and SDLC processes, • Support data quality, security, compliance, and operational reliability across the Azure data platform, • 10+ years of experience in data engineering, data platform development, or related enterprise data roles, • Strong hands-on experience building Azure data solutions in complex production environments, • Proven expertise with Azure Synapse, Azure Data Factory, and Databricks, • Experience designing and maintaining ingestion pipelines, data lakes, and cloud-based data transformation workflows, • Strong understanding of data governance, data security, and compliance considerations in regulated environments, • Experience partnering with cross-functional stakeholders, including engineering teams, business data owners, and security organizations, • Ability to manage multiple priorities, follow through on technical dependencies, and communicate progress in agile sprint environments, • Strong problem-solving skills, ownership mentality, and ability to operate effectively in a fast-paced enterprise setting, • Azure certifications are valued, • Experience supporting cybersecurity, insider risk, DLP, DSPM, or security analytics programs is strongly preferred

Job Description At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. Our unique data and solutions empower over 6,000 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights. Work alongside Similarwebbers from around the globe who are bright, curious, practical, and genuinely good people. We're hiring a Data Solutions Engineer (DSE) to combine deep technical expertise with strong customer-facing skills to design and deliver scalable data solutions for enterprise clients. You'll partner with Enterprise Sales and Account Management to lead technical discovery, solution design, and integration strategy across complex, consultative deals. This is a revenue-generating pre-sales role focused on driving technical adoption and long-term customer success. What You'll Do Technical Consultation & Solution Design • Act as a trusted advisor, translating business needs into scalable data architectures, • Design integration solutions using APIs, data feeds, and cloud platforms, • Architect end-to-end data pipelines into client ecosystems (Snowflake, Databricks, AWS, GCP), • Design and guide implementation of data ingestion workflows (API, S3, warehouse sharing), • Advise on data formats (CSV, JSON, Parquet, Delta) and performance trade-offs, • Deliver custom data samples aligned to client use cases, • Use SQL/Python to validate structure, schema, and analytical fit, • Partner with Sales on technical discovery, solutioning, and deal execution, • Support Account Management on expansion and deeper adoption, • Collaborate with Product, Data Engineering, and Customer Success teams, • Stay current on cloud data architecture, APIs, and AI/LLM integrations, • Provide feedback on APIs, schema design, and data delivery, • Support technical governance, performance validation, and troubleshootingWhat You Bring to Similarweb:, • 3-5+ years in solutions engineering, solution architecture, or data consulting, • Experience supporting enterprise, consultative sales cycles, • Strong SQL and data modeling experience, • Deep familiarity with cloud platforms (AWS, GCP, Azure) and data warehouses (Snowflake, Databricks), • Experience with APIs (REST/GraphQL), JSON, and authentication methods, • Knowledge of data formats (Parquet, Delta, CSV) and ETL concepts, • Experience with AI/LLM integrations and Model Context Protocol (MCP), • Background in data delivery via APIs, object storage, or warehouse sharing, • Strong ability to translate technical concepts into business value, • Excellent communication and stakeholder management The base salary range for this position in New York City is $90,000 to $125,000, plus benefits including: medical, dental and vision insurance, 401K plan, potential equity, employee stock purchase plan and paid sick and parental leave. Individual compensation is based upon a number of factors, including qualifications and relevant experience. The base salary range above is for the New York City metro area and could vary for candidates in other locations. Why you'll love being a Similarwebber: You'll actually love the product you work with: Our customers aren't our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said "the product." Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world. You'll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You'll find the resources you need to take the initiative and create meaningful change within the organization. We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also strongly emphasize community, with regular team outings and happy hours. You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it's Career Week, personalized coaching, or our ongoing learning solutions, you'll find all the tools and opportunities you need to develop your career right here. Diversity isn't just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day. #LI-KZ #LI-Hybrid We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What Youll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

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 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 DescriptionAbout Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.Salary Range: US$ 140,000-190,000/yearRole Overview We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You’ll work across the ML lifecycle—from problem framing and data exploration to model development, evaluation, deployment, and monitoring—often in partnership with client stakeholders and internal delivery teams. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. Key Responsibilities • Problem Framing & Stakeholder Partnership, • Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.)., • Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability)., • Data Analysis & Feature Engineering, • Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses., • Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices., • Build robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptions., • Model Development (Core ML), • Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data)., • Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation., • Build time series models (statistical and ML/DL approaches) and validate with proper backtesting., • Apply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness., • Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision-making., • Deep Learning, • Build and train deep learning models using PyTorch or TensorFlow/Keras., • Use best practices for training (regularization, calibration, class imbalance handling, reproducibility, sound train/val/test design)., • Evaluation, Explainability, and Iteration, • Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports., • Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence., • Productionization & MLOps (Project-Dependent), • Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on integration., • Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans., • Documentation & Communication, • Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders., • Create documentation and lightweight demos that make results actionable.Success in This Role Looks Like, • You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency)., • Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring., • Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly.Required Qualifications, • 3–8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior)., • Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent)., • Strong SQL skills (joins, window functions, aggregation, performance awareness)., • Solid foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset., • Hands-on experience across multiple model types, including:, • Classification & regression, • Time series forecasting, • Clustering/segmentation, • Experience with deep learning in PyTorch or TensorFlow/Keras., • Strong problem-solving skills: ability to work with ambiguous goals and messy data., • Clear communication skills and ability to translate analysis into decisions.Preferred Qualifications, • Experience with Databricks for applied ML (e.g., Spark, Delta Lake, MLflow, Databricks Jobs/Workflows)., • Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining)., • Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks)., • Experience with cloud platforms (AWS/GCP/Azure/IBM) and containerization (Docker)., • Experience with responsible AI and governance best practices (privacy/PII handling, auditability, access controls)., • Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM (data/AI/ML tracks), • Databricks certifications (Data Scientist, Data Engineer, or related)Nice-to-Have, • Causal inference experience (e.g., quasi-experimental methods, propensity scores, uplift/heterogeneous treatment effects, experimentation beyond A/B tests)., • Agentic development experience: designing and evaluating agentic workflows (tool use, planning, memory/state, guardrails) and integrating them into products., • Deep familiarity with agentic coding tools and workflows for accelerated product development (e.g., AI-assisted IDEs, code agents, automated testing/refactoring, repo-aware assistants), including strong judgment on quality, security, and maintainability.Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation. I0GDC3XJwj

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.

Principal / Senior Data Scientist – AI & Enterprise Analytics. Principal / Senior Data Scientist. Design and deploy scalable ML pipelines using Python and cloud-based platforms (Azure, Databricks, or equivalent).

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We're SeekingQvest.US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you will oversee projects that drive better data-based decision making for our clients, involving strategy and planning, data management, reporting, and data visualization. We are looking for a hands-on technical data lead who can successfully manage projects, teams, and stakeholders.What You'll Do • Manage the project and stakeholders through all core project phases, including project setup, requirements gathering, design, development, testing, and deployment, • Lead the team through hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks, • Ensure client satisfaction through consistent support, impactful thought leadership and high-quality project execution, • Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication, • Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations, • Proactively identify risks, issues and provide mitigation strategies, • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancementWhat You'll Bring, • Eagerness to help build and lead a best-in-class data practice, • 5+ years Project Management, Process, Implementation, System Integration, and SDLC experience working closely with data professionals in an Agile environment, • Experience with project planning, including tasks, budgeting, resource allocation and balancing, • 7+ years in a consulting or a data-focused role and expert-level experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar, • Experience designing and building relational database and/or data warehouses, • Hands-on experience with business driven / self-service BI, using tools similar to Tableau, Power BI, Looker, etc Preferred Additional Experience, • A solid understanding of key BI trends and the BI vendor landscape, • Experience in Media & Entertainment and/or Consumer Products industries, • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC), • Cloud computing experience, whether with AWS or other vendors, • Ability to understand/design small-to-medium size data architectures, • Ability to automate data-related tasks using scripts and programming languages, • Ability to profile, explore, and analyze data to identify common data patterns, • Bachelor’s degree in engineering, information systems, computer science, business administration, or other related analytical fields

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

Job Description Data Scientist NYC, NY or Remote Type: Contract About the Role We are seeking an experienced Data Scientist to join our AI Data Science team, with a strong emphasis on modern data engineering and platform-based development. This role focuses on building scalable, production-grade data and machine learning pipelines that power analytics, predictive models, and AI-driven insights across the firm, including work within our Databricks environment. Required Qualifications • § 5+ years of experience in data science, data engineering, applied machine learning, or advanced analytics roles • § Advanced proficiency in Python, with demonstrated experience building production- grade data, ML, or GenAI pipelines • § Hands-on experience working with Generative AI or LLM-based systems, including prompt design, evaluation, and application integration • § Strong grounding in data analysis, statistics, and exploratory analysis • § Experience translating business or domain questions into analytical approaches and communicating insights to non-technical stakeholders • § Strong hands-on experience with Databricks (Spark, notebooks, jobs, Delta Lake) in a production environment • § Solid understanding of data modeling, ETL/ELT patterns, and distributed data processing • § Experience deploying and maintaining machine learning models in production environments • § Excellent communication skills, with the ability to explain complex technical concepts clearly Preferred Skills • § Experience with MLflow, model registries, and experiment tracking • § Familiarity with version control and deployment workflows for data, ML, and GenAI solutions • § Experience with RAG architectures, vector databases, or semantic search • § Familiarity with GenAI evaluation techniques, including human-in-the-loop review • § Knowledge of SQL and data warehousing concepts • § Experience supporting talent analytics, people analytics, executive assessment, or professional services use cases • § Ability to design analyses and narratives appropriate for senior consultant and executive audiences • § Experience working in regulated or enterprise environments with an emphasis on reliability, governance, and trust

Job Description OUR MISSION We exist to create a more connected, compassionate, and confident experience for people with cancer and those who care for them. We make it easier to get answers, access high-quality care quickly, and feel supported throughout treatment and beyond. Today, Thyme Care is a market-leading value-based oncology care enabler, partnering with national and regional health plans, providers, and employers to deliver better outcomes and lower costs for thousands of people across the country. Our model combines high-touch human support with powerful technology and AI to bring together everyone involved in a person's cancer journey: caregivers, oncologists, health plans, and employers. As a tech-native organization, we believe technology should strengthen the human connection at the center of care. Through data science, automation, and AI, we simplify complexity, improve collaboration, and help care teams focus on what matters most: supporting people through cancer. Looking ahead, our vision is bold: to become a household name in cancer care, where every person diagnosed asks for Thyme Care by name. If you're inspired to make cancer care more human and to help reimagine what's possible, we'd love to meet you. Together, we can build a future where every person with cancer feels truly cared for, in every moment that matters. WHAT YOU'LL DO As a Data Integration Engineer on our Data Ingestion & Care Enablement (DICE) team, you'll be part of the horizontal layer that keeps partner and vendor data flowing reliably into Thyme Care. In this position, you will collaborate closely with our Product Manager and other Data teammates focused on data ingestion and analytics engineering. You'll work across many deals and data sources, supporting Data Scientist deal owners by making ingestion consistent, debugging failures, and raising the reliability bar through better tests, monitoring, and data contracts. In the course of your work you should also expect to: • Gain a deep understanding of our data platform and contribute to improving our data models and pipelines using SQL, dbt, and python (generally data-focused packages, e.g., pandas, polars), • Support ingestion of a wide range of healthcare-related sources (claims, eligibility, prior auth, ADT, etc.) by, • Configuring net-new ingestions (parsing file specs, validating assumptions, communicating inconsistencies), • Debugging issues in ongoing ones, • Helping standardize our processes and pipelines, • Collaborate with data scientist deal owners and internal stakeholders to turn messy, ambiguous requirements into concrete mapping/validation logic and durable data contracts, • Use Dagster and GitHub Actions to orchestrate and automate the early stages of our data pipelines, improving run reliability and reducing manual intervention, • Work hands-on with raw data using Jupyter Notebooks in Databricks to investigate data issues, validate assumptions, and unblock processing, • Design and support incremental data loads (append/merge/upsert patterns) and safe reprocessing (idempotent runs, late-arriving data, backfills), • Learn to use Datadog and PagerDuty to monitor pipelines, triage incidents during business hours, communicate impact clearly, and drive root-cause fixes to prevent recurrences, • Strong SQL skills, • Familiarity with dbt (and an interest in ramping up your expertise), including working in larger/complex projects, • Working knowledge of Python for data investigation in notebooks, • Experience operating data pipelines: debugging failures, tracing issues across systems, and communicating clearly about root cause and mitigation, • Experience with testing and data quality: writing and maintaining tests and using failures/alerts to drive durable fixes, • Responsiveness and the ability to stay calm and organized when triaging failing ingestion runs or pipelines, • Willingness to learn new domains and tools quickly (new partner file formats, evolving standards, Databricks), and apply feedback without ego, • The ability to engage technical and non-technical stakeholders to explain what's happening in our pipelines and identify opportunities to improve transparency and alerting, • Act with our members in mind. Thyme Care's mission, and in particular our member experience, matters deeply to you., • Move with purpose. You're biased to action. You know how to identify and prioritize your initiative's needs, and do what it takes to ensure that urgent and important needs are acted on immediately., • Seek diverse perspectives. You are humble and actively seek feedback from others, eager to learn and share knowledge., • Reliability mindset. You treat recurring failures as solvable system problems and systematically reduce them with testing and automation., • Practical judgment. You know when to ship a safe fix now vs. invest in a sturdier improvement, and you document the why., • Clear collaboration. You work smoothly with DS, PM, and Platform counterparts, understanding competing priorities and turning ambiguity into concrete next steps. At Thyme Care, our core values guide us in everything we do: Act with our members in mind, Move with purpose, and Seek diverse perspectives. They anchor our business decisions, including how we grow, the products we make, and the paths we choose—or don't choose. Our salary ranges are based on paying competitively for our size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Thyme Care. Individual pay decisions are based on several factors, including qualifications, experience level, skillset, and balancing internal equity relative to other Thyme Care employees. The base salary for this role is $139,500-$155,000. The salary range could be lower or higher than this if the role is hired at another level. We recognize a history of inequality in healthcare. We're here to challenge the status quo and create a culture of inclusion through the care we give and the company we build. We embrace and celebrate a diversity of perspectives in reflection of our members and the members we serve. We are an equal-opportunity employer. Be cautious of recruitment fraud, and always confirm that communications are coming from an official Thyme Care email.

Job Description JOB TITLE: Data Analyst REPORTS TO: Director of Data Strategy and Reporting DEPARTMENT: IT HOURS: 40 Hours FLSA STATUS: Exempt SALARY: $90k-125k POSITION SUMMARY: The Data Analyst provides the foundation for analytics, namely the collection, quality assurance and availability of data. This IT role requires a significant set of technical skills, including a deep knowledge of SQL, SQL database design and multiple programming languages as well as communication skills to understand what data and analysis the healthcare analysts want to gain from Healthix data stores. They are responsible for the maintenance, improvement, cleansing and manipulation of data in the organization’s operational and analytics databases. The Data Analyst works with team members to define and build data pipelines to orchestrate the movement, transformation, validation, and loading of data from the source to the final destination – data stores defined and implemented based on system requirements and data consumer requirements. Typical tasks performed include working with the data architect on data warehouse design, ensuring data loads quickly, is easily accessible and rapidly comprehensible for analysts/users; extract, transform, and load (ETL) processing; performing thorough testing and validation in order to support the accuracy of data transformations and data verification to ensure correctness and that data is generally reliable for downstream consumption; data bounds checking and database tuning. The Data Analyst strives to ensure proper data governance and quality for the Data Strategy team and the entire organization. They analyze complex data elements and systems, data flow, dependencies, and relationships to contribute to conceptual physical and logical data models. They work collaboratively within the Data Strategy team, providing support for their data centric needs. The candidate has strong working and conceptual knowledge of database queries multidimensional query and index tuning, monitoring, disaster recovery, backup, automated testing, automated schema migration, and continuous deployment. Requirements Essential Duties and Responsibilities: • Enhance and streamline data and pipeline architecture to improve data flow and collection., • Partner with software developers, database architects, and data analysts to support data initiatives and ensure reliable data delivery., • Independently address the data requirements of multiple teams, systems, and products., • Refine or redesign Healthix’s data architecture to enable next‑generation products and data capabilities., • Build and maintain scalable data pipelines and reporting solutions to support growing data volumes, performance and complex queries across Databricks, MS SQL Server, and Intersystems HealthShare., • Work with Data Strategy and Business teams to improve data models and increase data accessibility for business intelligence., • Implement monitoring processes to safeguard data quality, accuracy, and availability for key stakeholders., • Develop queries, support reporting needs, and tailor reporting solutions to enable data‑driven decision‑making., • Develop and execute unit and data validation tests while maintaining accurate documentation, perform data analysis to troubleshoot issues, support feasibility assessments, evaluate health outcomes, and resolve data‑related problems., • Provide general reporting and project support across the organization., • Ensure reporting meets standards for reliability, accuracy, completeness, and compliance., • Support the development, ETL processes, and maintenance of company data assets and data models, design data integrations and data quality frameworks., • Evaluate open‑source and vendor data‑lineage tools and contribute to long‑term data platform architecture planning across IT and Business teams., • Assist in developing an integrated data warehouse to provide a comprehensive healthcare dataset. Supervisory Responsibilities: • This job has no supervisory responsibilities. Qualifications: • 5+ years of experience in a Data Analyst role, with a graduate degree in Computer Science, Statistics, Healthcare Informatics, Informatics, Information Systems, or a related field. IBM Certified Data Engineer or Google Certified Professional is preferred., • Experience with healthcare data, including HL7, CCDAs, MS SQL Server, Databricks, Tableau, Intersystems HealthShare, and Cache databases., • Advanced SQL knowledge and experience with relational databases, query authoring, and familiarity with various databases., • Proficient in database design principles, including relationships, normalization, structures, indexes, views, and analyzing database requirements., • Experience in building and optimizing big data pipelines, architectures, and data sets., • Strong analytical skills and experience in performing root cause analysis on data and processes to answer business questions and identify improvement opportunities., • Experience in developing processes for data transformation, structures, metadata, dependency, and workload management., • Working knowledge of message queuing, stream processing, and scalable big data stores., • Proficient in big data tools such as Hadoop, Spark, and Kafka., • Experience with relational SQL and NoSQL databases., • Strong programming skills with languages like Python, Java, C++, and Scala., • Ability to architect end-to-end ETL pipelines., • Experience with AWS services and BI tools like Tableau., • Strong quantitative, analytical, process development, facilitation, and organizational skills. SALARY: $90k-125k We’re committed to supporting our team both professionally and personally. Our benefits include a flexible hybrid work environment, generous paid time off, comprehensive medical, dental, and vision coverage, a 401(k) with company match, commuter benefits, and additional perks designed to support your well-being.

Job DescriptionFounded in 2017, Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happens—platforms like Microsoft 365, Salesforce, and hundreds more. Backed by top investors including Greylock, Norwest Venture Partners, and IVP, we've built a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Our team includes leaders who helped define the categories of endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, we're transforming how SaaS is secured—in the era of agentic AI. Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand—including many of the world's largest Fortune 1000 and Global 2000 companies.With strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we're scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS security! About the Team: We're looking for a hardworking, focused and driven Enterprise Account Executive to channel energy, passion and initiative into new logo acquisition. You'll be responsible for developing and executing against a comprehensive account/territory plan whilst working collaboratively with our internal and external resources. This is a 100% remote role with location preference in Greater New York tri-state metro region with ability to travel within and outside of this region. About the Role: • Proactively, identify, qualify and close sales pipeline across your territory and accounts, • Close business to meet and exceed monthly, quarterly and annual business targets, • Demonstrate an extensive understanding of the Obsidian Security offering and our value to our customers, • Align with our partners and alliances to optimize opportunities, • Partner with internal resources across Sales Engineering, Customer Success and Customer Support, • Demonstrate accurate pipeline forecasting and management, • 5+ years of enterprise sales experience, • Working knowledge of sales concepts, methods and techniques, • Experience evangelizing new technology into F1000 accounts., • Able to maintain and manage existing client relationships and accounts., • Able to utilize existing client and/or C-Level relationships, as well as build new relationships across IT Security as well as other lines of business., • Self Starter that creates and maintains a sales pipeline by capturing accurate and complete information in selected CRM databases including activity, closing, project forecast, close ratios and market intelligence., • Strong ability to understand a customer's business issues and needs and be able to articulate and map back value to a solution., • Strong prospecting skills, deal qualification, and POV management skills, leading to acquisition of new business., • Team player with the ability to collaborate well with internal stakeholders or partners to drive opportunities to closure., • Need to maintain and keep up with market trends, competitor analysis, and market conditions which may impact customers. Our competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our US based employees enjoy: • Competitive compensation with equity and 401k, • Comprehensive healthcare with dental and vision coverage, • Flexible paid time off and paid holiday time off, • 12 weeks of new parent or family leave Pay Transparancy Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for sales commission or incentive compensation based on the role or function within the company. At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation, please contact Information collected and processed as part of any job applications you choose to submit is subject to Obsidian's Applicant Privacy Policy. Base Salary Range$124,000—$176,000 USD

Job DescriptionBeghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. This role supports the conceptualization, execution, and integration of data-driven projects for commercial efforts in the pharmaceutical and life sciences industries. As a subject matter expert, you will drive innovation and creative solutions within various work streams and provide thought leadership. You will lead project teams and play a pivotal role in guiding internal stakeholders toward project success.We'll trust you to: • Lead cross-functional project teams in the design and development of high-quality deliverables for clients., • Provide strategic advice on project direction, resource management, and timelines, while assuming responsibility for key data analytics tasks to support internal teams and clients., • Collaborate with leadership to define project scope, approach, and development strategies., • Contributes to Beghou’s internal data warehouse build (ARMADA)., • Demonstrates knowledge of data platform components (warehouse, monitoring, etc.) and data engineering (ETL design, schema design, etc.) and CI/CD best practices., • Analyze data, synthesize findings, and develop actionable insights, communicating results to both internal and external teams., • Independently manage projects, handling client communications, meeting facilitation, and timelines, serving as a primary point of contact with minimal oversight., • Develop and optimize data processes, utilizing coding where necessary to facilitate efficient data handling and reporting., • Coordinate with global and diverse teams to ensure seamless project execution., • Engage in business development activities and contribute to internal firm initiatives to drive organizational growth., • Provide mentorship and guidance to junior team members, overseeing their professional development and encouraging continuous improvement and innovation within the team.You will need to have:, • Bachelor’s or advanced degree with at least 6 years of relevant professional experience, preferably in the pharmaceutical or life sciences industry., • Experience with relational database technologies, including PostgreSQL, Oracle, MySQL, Databricks, and Snowflake., • Strong proficiency in Microsoft Office tools (Word, PowerPoint), with advanced expertise in Excel., • Knowledge of coding languages (SAS, Python, R, VBA, etc.) and experience with data visualization software (Tableau, Power BI) is highly preferred., • Excellent analytical and quantitative skills, with a proven ability to solve complex problems., • Exceptional communication skills, both written and verbal., • Demonstrated organizational, time management, and project management skills, with the ability to lead teams and manage multiple projects simultaneously., • Strong ability to collaborate, adapt quickly, and work effectively in a fast-paced environment. 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 Be Part Of A High-Performing Team: Join a globally recognized financial services organization known for its strong presence in capital markets and investment banking. The team operates within a strategic technology group focused on delivering advanced data solutions that support trading, analytics, and market operations. This environment brings together highly skilled engineers, data specialists, and business stakeholders working in a fast-paced, collaborative setting. The group is actively enhancing data pipelines, real-time processing capabilities, and analytics platforms to support complex financial products and trading workflows. What's In Store For You: • Engagement: W2 only (no C2C/1099), • Opportunity to work on cutting-edge data engineering initiatives within capital markets, • Exposure to high-impact trading and market data systems, • Design, build, and optimize scalable data pipelines using Azure and Databricks, • Develop and maintain data workflows leveraging Azure Data Factory (ADF), • Integrate streaming and batch data sources, including Kafka and Delta Share, • Support data analysis and transformation using Python and SQL, • Collaborate with cross-functional teams to align data solutions with business needs, • Ensure secure and efficient data storage using Azure Blob Storage and Key Vault, • Contribute to automation and scheduling processes using Autosys/JIL, • 10+ years of experience in data engineering or related roles, • Strong expertise with Azure ecosystem, including ADF, Blob Storage, and Key Vault, • Hands-on experience with Databricks, including Delta Share and Kafka integration, • Proficiency in Python and SQL for data processing and analysis, • Experience with job scheduling tools such as Autosys/JIL, • Solid understanding of data pipeline architecture and optimization, • Familiarity with Fixed Income products (e.g., US Treasuries, Futures, market liquidity data), • Ability to collaborate across technical and business teams effectively, • Strong communication and problem-solving skills

Join JPMorgan Chase as a Senior Principal Software Engineer - Shape the Future of Data & Analytics. As a Senior Principal Software Engineer at JPMorgan Chase on our AIML Data Platforms & Chief Data and Analytics Team, you'll play a pivotal role in architecting and implementing advanced data platform

Job Description About Us Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Senior Engineer, Infrastructure in our New York office. About the Role: As a Senior Engineer, you will focus on providing engineering teams with user-centric, reliable platforms that enable teams to safely operate their software with minimal overhead. Along with engineering and maintaining reliability, performance, and agility across multiple engineering platforms and technologies, you will also be a part of a support organization dedicated to delivering a frictionless development experience to Engineering teams. Your work will span cloud infrastructure, observability, infrastructure-as-code, application deployment strategy, and security. You will join a hybrid-remote team of skilled and collaborative software engineers dedicated to the continuous delivery of business value. What You'll Do • Design and build networking and application infrastructure that provide high levels of scalability, reliability, and performance, while balancing security, maintainability, and operational excellence, • Partner with product and application teams to provide guidance and best practices around scalability, reliability, and performance of our productions networking, infrastructure, and software, • Craft solid and clearly explained designs, playbooks, and documentation, for consumption by teammates and the larger engineering organization, • Improve operational efficiency through automation and deployment or development of new tools, • Be proactive in performance & availability monitoring; provide remediations for systemic issues, • Ingest requirements, scope work, produce estimates and help define deliverables with project timelines, • You have 5+ years of professional software development experience, • You have mastered development for the cloud, leveraging a variety of AWS and Data Engineering services (e.g. Databricks, Snowflake), • You excel at infrastructure-as-code, • You understand computer networking concepts, • You have practical knowledge of security, data privacy and permission management, • You have experience with monitoring tools, including logging and alerting, • You are adept at troubleshooting and know incident response best practices, • You value strong DevOps and are continually improving the developer experience and CICD, • You are a natural collaborator, always keen to help your team members Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $160,000 - 200,000, based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 4 years, we've increased our revenue by 10X, grown our headcount by almost 5X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, and alums of top-tier organizations like Bain & Company, Amazon and Simpson Thacher., • Applecart raised a $100M Series C from Blackstone's tech growth fund at the end of 2025. The company's other investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME, Wayne Berman, Blackstone's Head of Global Government Affairs, and Risa Heller, CEO of HELLER, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV, and The Colbert Report, and in Axios, Semafor, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

As a Senior Principal Software Engineer at JPMorganChase in Corporate – AIML Data Platforms and the Chief Data & Analytics team, you will bring your deep expertise in Databricks and large-scale data engineering. Join JPMorgan Chase as a Senior Principal Software Engineer where you will own the Dat

A leading financial services firm in Jersey City is seeking a Senior Principal Software Engineer to own the Databricks platform architecture on AWS. Candidates should have 10+ years of experience, with deep expertise in Databricks and AWS.

Job Description About Us Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Senior Product Manager, Surveys in our New York office. About the Role: You will be responsible for defining and driving the product architecture, prioritization, and roadmap for our survey products. This includes both current offerings and developing and launching greenspace products that leverage Applecart's proprietary data assets to create innovative survey-driven insights. You will work closely with the Vice President of Data Science and his team of data scientists and analysts to design, launch, and iterate on deeply insightful, statistically sound products our customers can't do without. This role will report to the Director of Product Management for Insights & Optimization. What You'll Do: • Define and lead the product vision for Applecart's survey offerings, including building out a robust unified data pipeline, integrating with data sources from other teams, and generating automated visualizations., • Own the product roadmap and prioritization process in close collaboration with data science, engineering, and reporting teams., • Transform lift, probability, statistical significance, crosstabs, and other statistical and survey concepts into clear, structured product packages that clients can easily digest., • Partner with reporting teams and engineering to deliver scalable, reliable data pipelines and platform services using technologies such as Databricks and PySpark., • Design the future of our survey deliverables, from static presentations to interactive UI environments., • Define and track success metrics that demonstrate impact on client satisfaction, usability, and messaging and creative selection., • 5+ years of experience in product management, with at least 3 years focused on data products, infrastructure, or enterprise SaaS environments., • Professional experience and/or familiarity with data science or survey work and theory, especially as a product manager., • Impeccable attention to detail and superior organizational skills; able to synthesize densely technical product features into coherent requirements as well as clear external-facing deliverables., • Ability to thrive in a highly dynamic environment where priorities can shift outside of planning periods., • Strong written and verbal communication., • Thoughtfulness about developing and communicating clear milestones (including non-technical ones) that take a product from proof of concept through launch., • Intellectual curiosity and openness to new ideas and robust (but friendly!) discussions with key stakeholders at all levels., • Eagerness to collaborate cross-functionally with both local and remote colleagues from a variety of personal and professional backgrounds., • Prior experience as a survey scientist or on a data-intensive client analytics team., • Understanding of end to end survey research workflow is a plus such as sampling, questionnaire design, data collection and analysis. Relocation assistance is not available for this position. Candidates must be based in or willing to relocate to the area independently. Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $160,000 to $195,000 based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 3 years, we've increased our bookings by 10X, grown our headcount by 4X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, a former CRO of a high-growth tech company with hundreds of millions in ARR, and alums of top-tier organizations like Bain, Amazon and Simpson Thacher., • Our investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV and The Colbert Report, and in Axios, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job Description WisdomTree is seeking a Head of Financial and Business Intelligence to join our Technology and Data organization, reporting to the Chief Information Officer. This is a senior leadership role and a key thought partner to the COO and President, CIO, and senior business leaders, shaping how WisdomTree turns sales, marketing, client, product, and financial data into sharper strategic insight, better forecasting, and stronger business decisions across the firm. This role will serve as the firm’s central intelligence function, transforming data into actionable insight that informs strategic decision-making across sales, product development, client engagement, and financial management. The ideal candidate will combine deep asset management and distribution fluency with strong commercial judgment, executive presence, and a hands-on operating style, and will be equally comfortable setting the agenda, challenging assumptions, building the analysis, and delivering the narrative to senior leadership. Responsibilities • Set the vision and lead the Financial and Business Intelligence function, establishing the operating model, priorities, standards, and talent strategy for a firmwide capability that serves as WisdomTree’s central source of business and financial insight., • Own the firm’s management information and executive insight agenda, ensuring that reporting, dashboards, and performance reviews are accurate, timely, decision-oriented, and broadly adopted across the organization., • Build and govern a trusted enterprise data foundation for sales, marketing, research, and financial intelligence, including accountability for data quality, metric definitions, controls, governance, and the integrity of underlying ETL and reporting processes., • Generate proactive business intelligence and strategic insight by identifying trends, anomalies, risks, and growth opportunities, and translating data into clear recommendations that improve commercial, product, and financial decision-making., • Lead forecasting, scenario analysis, and performance diagnostics to support resource allocation, business planning, client and channel strategy, and senior management decision-making., • Partner with senior leaders across Sales, Marketing, Research, Finance, and Technology/Data to align KPIs, evaluate business performance, and embed a consistent, enterprise-wide view of results and opportunities., • Build and manage a distributed team model, with analytics partners aligned to major business areas while maintaining centralized standards, shared tooling, common definitions, and consistent governance across the function., • Advance the use of AI and automation across the intelligence lifecycle, applying modern tools and agentic workflows to improve analytical speed, insight generation, forecasting quality, reporting efficiency, and self-service decision support.Required Qualifications/Skills & Experience, • Bachelor’s degree in Finance, Economics, Business, Data Analytics, Computer Science, Statistics, or a related field., • 15+ years of experience in business intelligence, strategic analytics, financial planning, commercial or revenue intelligence, or related roles, including meaningful leadership experience in asset management or closely related financial services., • Strong knowledge of asset management distribution, sales and marketing processes, executive reporting, KPI design, forecasting, trend analysis, and data governance, with the ability to connect data to commercial outcomes and business actions., • Demonstrated experience building trusted reporting environments, improving data quality, and establishing scalable management information practices that are broadly adopted by business stakeholders., • Proficient in Salesforce or comparable CRM platforms, Power BI or similar BI tools, SQL, Excel, and modern data and AI tooling; comfortable working across reporting layers, data models, ETL workflows, and automation-enabled analytics environments., • Experience leading high-performing teams in a distributed or federated operating model, with the ability to balance enterprise standards with strong business partnership., • Excellent leadership, executive communication, analytical, storytelling, and cross-functional influencing skills, with a demonstrated ability to operate strategically while remaining hands-on in analysis and presentation development.Preferred/Nice to Have, • Direct experience working in, or closely supporting, asset management sales, marketing, distribution, product, or client strategy teams., • Experience designing executive dashboards and management reporting used by senior leadership to monitor business performance, commercial trends, and strategic priorities., • Experience developing sales pipeline, net flow, or related forecasting models, ideally in an asset management, wealth, or financial services environment., • Familiarity with product adoption analytics, advisor segmentation, and client intelligence frameworks used to assess commercial effectiveness, identify growth opportunities, and support targeted business actions., • Experience building AI-enabled analytics workflows or agents using platforms such as Databricks AI Agents, Microsoft AI Foundry, Salesforce Agentforce, or similar enterprise AI frameworks., • Advanced degree and/or certifications in Salesforce, Microsoft Power BI, CFA, CAIA, or related analytics disciplines.Compensation for this role:, • Base salary range of $250-300K.**

Job DescriptionWho we are: Yoodli is the AI roleplay simulator redefining how individuals and teams master communication. Think of it as the batting cage before the big game - but for communication. Whether it's a sales pitch, manager feedback session, or media interview, Yoodli provides private, judgment-free, just-in-time coaching. Leaders at companies like Google, Databricks, Snowflake, RingCentral, Toastmasters, and Dale Carnegie use Yoodli to ramp reps faster, improve message delivery, and reduce coaching burden on frontline managers. The result is stronger performance, greater team readiness, and a more scalable path to impact. We're building a new category called Experiential Learning: a new AI-powered category that helps people learn through conversational roleplays. People don't learn from slides: they learn through dialogue, questions, and iteration. Yoodli makes that process interactive, personalized, and always up to date. It's learning that feels fun, builds confidence, and finally lets organizations measure the ROI of training. We've $40M in Series B funding, doubling our team in 2026, and are headquartered at the beautiful Pier 70 in Seattle. • TED Talk with our "Why" You'll work closely with Leadership, Solutions Engineering, Marketing, and Customer Success to land and expand accounts that shape the future of our platform. This is a high-trust, high-autonomy role ideal for someone who blends curiosity, grit, and a mission-driven mindset. About You • 8+ years in B2B SaaS sales with a track record of consistent quota attainment, • High emotional intelligence—you can detect buyer apathy and adapt quickly, • Skilled in signal recognition, objection handling, and managing next steps with discipline, • Experienced in MEDDIC, Challenger, or similar value-based methodologies, • Comfortable respectfully challenging buyer assumptions to create urgency, • Treats pipeline and forecast like an operator, not a speculator, • Team-first mindset—you're coachable, iterative, and eager to help others winBonus Points, • Experience selling to GTM leaders (enablement, L&D, revops), • Familiarity with tools like Gong, Outreach, Clay, or HubSpot, and incorporating AI into your sales workflowsResponsibilities:, • Own full-cycle sales for enterprise accounts, • Run deep, rigorous discovery to understand buyer challenges and connect to Yoodli's differentiated value, • Lead multi-threaded sales motions across economic, technical, and operational stakeholders, • Deliver compelling, ROI-driven narratives that shift focus from product to transformation, • Partner with RevOps, SEs, and CS to ensure smooth handoffs and long-term customer success, • Build pipeline via outbound, partnerships, and demand follow-up, • Contribute to a high-performing, collaborative sales culture that lives our valuesWhy Yoodli Sell a mission-driven product that's redefining how people communicate * Work alongside a seasoned founding team and world-class investors Shape the DNA of an early-stage sales team and playbook * Competitive compensation: • Base Salary: $130K-$150K, • Variable OTE: $130K-$150K, • Equity: Meaningful early-stage options Full benefits: healthcare, dental, vision, 401k, unlimited PTO * Learn more about our team values and culture

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

Job DescriptionCompany Description NIQ is the world’s leading consumer intelligence company, helping brands and advertisers understand what people buy, watch, and engage with. MRI‑Simmons, a division within NIQ, runs one of the most comprehensive and detailed consumer insights studies in the U.S., collecting thousands of data attributes from 50,000+ respondents annually. Our Consumer Canvas product takes this data even further — mapping it to the broader U.S. population (250M+ adults) and enabling advanced audience targeting through partners like The Trade Desk, LiveRamp, TransUnion, and more. We are expanding our architecture team to drive the next evolution of Canvas — identity resolution, data enrichment, privacy‑first design, and scalable activation pipelines. Job Description We are seeking a Data Architect to own and evolve the end‑to‑end architecture behind the Consumer Canvas platform. You will work across Snowflake, Databricks, identity systems, ingestion pipelines, and activation layers — ensuring our data is scalable, secure, privacy‑compliant, and highly performant. You will partner closely with Data Engineering, Data Science, Machine Learning, and Product teams to build next‑gen solutions that power the future of consumer insights and advertising activation. This is not a migration or maintenance role — it is a strategic influence position with the opportunity to architect new systems, components, and methodologies from the ground up • Own the end-to-end architecture of the Consumer Canvas product., • Design systems across ingestion, identity spine creation, enrichment, governance, and activation workflows., • Collaborate with cross-functional partners (Data Scientists, ML Engineers, Data Engineers, Product Owners)., • Define and enforce PII governance, privacy controls, and security best practices., • Translate complex business and technical requirements into scalable architecture., • Support technical teams with architectural guidance and model/structure design., • Participate directly in design, prototyping, and testing cycles within an Agile environment., • Act as a senior technical thought partner, providing mentorship (non‑manager role).Qualifications Must‑Have Skills • 5+ years of experience in Data Architecture or related technical leadership roles., • Hands-on experience with Snowflake (including Data Clean Rooms) and/or Databricks., • Strong SQL and experience with Python, PySpark, and Spark., • Proven experience working with PII data, privacy constraints, and governance frameworks (critical & non‑negotiable)., • Data modeling expertise (conceptual, logical, physical)., • Experience designing scalable data pipelines and cloud-native architectures., • Experience in Ad-Tech, Martech, Media, Consumer Data, or Identity Ecosystems, • Familiarity with Medallion Architecture (Bronze/Silver/Gold)., • Azure services (ADF, Azure Data Lake, Azure DevOps)., • Containers & orchestration (Docker, Kubernetes)., • Bachelor’s degree in Computer Science, Engineering, or a related field required., • Master's degree or certifications (SnowPro, Azure Data Engineer) are a plus., • A strategic thinker who enjoys architecting new systems, not just migrating old ones., • Passionate about privacy-first data design and operational excellence., • Skilled at turning ambiguous requirements into elegant architectures., • Excited by large-scale audience data (hundreds of millions of profiles)., • Comfortable navigating complex stakeholder environments. Additional Information Why Join NIQ? • Build one of the most influential consumer identity data architectures in the U.S., • Work with cutting-edge cloud technologies (Snowflake, Databricks, identity graph frameworks)., • Be part of an innovative team pushing the boundaries of consumer analytics and ad-tech., • Flexible, fully remote work environment. Our Benefits • Flexible working environment, • Volunteer time off, • LinkedIn Learning About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the

Job Description Responsibilities: • Design, develop, test and document highly reliable solutions running fully in the Azure and AWS public clouds, • Manage and monitor Azure and AWS cloud infrastructure, ensuring optimal performance and security, • Manage and monitor full Microsoft 365 estate, including Entra, Intune, the full Defender Suite and Exchange Online, • Build up Infrastructure as Code capabilities across the public cloud footprint, • Become an integral part of our technology team, including being an escalation point for junior team members, • Establish strong understanding of business needs and priorities Qualifications: • 8-10 years of experience in infrastructure engineering (experience in the finance industry desirable), • Extensive experience in the Azure and AWS public clouds with IaaS and PaaS workloads, including management of VNets/VPCs, private networking, storage accounts, Docker c containers, Function Apps/AWS Lambda, and managed databases., • Significant experience with cloud cybersecurity best practices, • Significant experience with Entra ID, Azure Policies, Azure Site Recovery, Azure Backup Center, and other Azure services., • Significant experience with Azure Virtual Desktop (AVD) and Windows 365., • Significant experience managing Microsoft Intune, including MDM/MAM policies and device configurations., • Significant experience with general database administration of SQL Server, • Some experience with Infrastructure as Code (IaC) and Cloud Adoption Framework/Well Architected Framework best practices, • Some experience with modern data stack tools, such as Databricks, Airflow, and GitHub, • Some experience of SharePoint Online architecture, site collections, and document libraries., • Bachelor’s Degree preferred, preference for Computer Science/Computer Engineering majors

Job Description Job Title: Data Engineer Work Style/ Location: Hybrid (3 days in office), NY or DC Type: Full-Time Sector: Data, AI & Analytics Position Overview BizFirst is supporting our client in identifying a Data Engineer to join a growing consulting team working across industries, clients, and technologies. You've got the skills, the curiosity, and the hunger to grow. This is the platform to go further. 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 You're not just taking a job, you're investing in your growth. You'll work across industries and client engagements that stretch your thinking. You'll have access to proprietary playbooks and toolkits that fast-track your success on projects. And you'll always have a principal consultant who has your back, not just be thrown into the deep end. What You'll Do You're the builder, making sure data flows cleanly and reliably. Most of the work will center on data engineering and migration of legacy systems to modern platforms. • Design and build pipelines to ingest, transform, and load data, • Set up data lakes and warehouses for scalable access, • Ensure systems are secure, reliable, and cost-effective, • Collaborate with analysts, ML engineers, and platform teams Tools & Tech Stack • Languages & Frameworks: Python, Spark, Airflow, • Data Platforms: Snowflake, Databricks, BigQuery, Neo4J (experience across multiple platforms, not just one), • Transformation & Ingestion: dbt, Fivetran, Terraform, • Cloud: Azure, GCP, AWS What We're Looking For We're open to people at different experience levels and career stages. We're on the hunt for people who love solving problems, thinking critically, and staying curious. The right person for this role brings a mix of technical depth and consulting instincts: • 4+ Years in data engineering role, • Bachelors, B.S. in technical field, • Strong data engineering fundamentals: pipeline design, data modeling, and platform migration, • Hands-on experience with at least two of the platforms listed above, • Experience with data architecture design is preferred, • Consultative and facilitation skills: you can sit with a client, understand what they need, translate that into a technical approach, and lead working sessions to gather requirements and align stakeholders, • Ability to balance working independently and being a great teammate in a fast-moving consulting environment, • Curiosity and a genuine interest in learning new tools, patterns, and approaches These aren't requirements, but if any of these describe you, we'd love to hear about it: • Experience with data architecture design and data governance, • Certifications in any of the key platforms (e.g., SnowPro, dbt, GCP Professional Data Engineer, Databricks), • Exposure to ML pipelines, MLOps, or AI-adjacent data engineering Perks & Benefits Your work matters, and so do you. Here's what's waiting: • Proprietary learning academy with 100+ custom modules, • Mentoring program with a Senior Support Lead, • 360-degree progress reviews with real feedback, not fluff, • Guilds, regular training, and peer learning, • Paid certifications across all major platforms, • Hackathons and innovation days, • Kudos and recognition programs, • Socials, book clubs, Data & Drinks, and team building days 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.