Data Modelling Consultant Jobs

We’re looking for an Senior Software Developer, Backend who can help us support the development organization to deliver value to customers in a reliable, efficient, and safe manner. You’ll be working in a focused team that owns one piece of the production application environment and the developer experience, you will execute on defined projects to achieve team-level goals. In line with Hootsuite's distributed workforce strategy, our flexible work arrangement allows for a hybrid model. This role is open to applicants within commutable distance to Luxembourg. WHAT YOU’LL DO: Write software - tools, libraries, automation, services Design and build our infrastructure platform Identify and implement new platform features Research and evaluate new technologies Refactor, rewrite or retire existing platform features Operate our developer experience and production application environments Diagnose and repair our distributed systems Perform maintenance, upgrades and migrations Control or eliminate repetitive tasks, alert noise, and business-as-usual work Enable development teams Provide executable interfaces to our infrastructure platform Provide tools and best practices to support the entire software development lifecycle Participate in a flexible on-call rotation Communicate by writing documentation, participating in meetings, and showing off your work at demos WHAT YOU’LL NEED: A degree in Computer Science or Engineering or equivalent experience working in a software engineering role An ability to write software and working knowledge of software engineering practice (Java programming language and strong working knowledge of object-oriented programming concepts) Proven experience creating stable, reliable, performing and maintainable code Familiarity with data modeling and schema design Knowledge of data structures and algorithms Open Communication: clearly conveys thoughts, both written and verbally, listening attentively and asking questions for clarific

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. About Fern, a Postman Company Fern helps software companies build a world-class API experience. Our customers include industry leaders like Nvidia, Square, and Twilio, as well as fast-growing AI companies like ElevenLabs and OpenRouter. In the next year, the majority of API integrations will be implemented by AI agents. Agents don’t read marketing pages. They need strongly typed schemas, structured endpoints, deterministic contracts, and documentation that can be fed into a context window. Our team is small and talent-dense. We’re a team of builders from Google, Palantir, Amazon, and Uber, working together in New York City. About the Role As a Staff Software Engineer at Fern, you’ll build APIs, scale AI infrastructure, and design developer experiences that reach millions of people. Set technical direction: Drive system design decisions around data modeling, performance, correctness, and reliability. Identify scaling bottlenecks before they become problems. Build for durability and scale: Ensure our systems are performant, observable, secure, and resilient under real-world production load across infrastructur

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Description We are seeking a ServiceNow ITAM Developer to join our ServiceNow Platform Team. This role is a key driver in our mission to manage the full lifecycle, compliance, and financial impact of our global technology footprint. You will serve as the technical SME for Software Asset Management (SAM) and Hardware Asset Management (HAM), ensuring our platform delivers an accurate, real-time view of asset visibility and cloud consumption. This is a highly collaborative and integrated role. You will work closely with our SAM Managers to translate complex asset management business processes into technical solutions that identify and capture cost-saving opportunities. You will manage a sophisticated ecosystem that connects financial data from Workday and NetSuite, procurement data from Coupa, and endpoint data from JAMF and Intune. Your expertise will bridge the gap between technical data modeling and strategic business outcomes. Responsibilities Lead technical delivery for ServiceNow SAM and HAM, focusing on the Content Library, Normalization engines, and Reconciliation processes. Partner with business stakeholders to analyze asset management business processes and implement automated workflows that drive license reclamation and cost-avoidance strategies. Oversee and troubleshoot complex integrations with core systems, including Coupa, Okta, JAMF, and Intune, ensuring data flow is consistent and accurate. Build, configure, and maintain integrations with SaaS

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. The Role You'll Play At Mindbody, Core Engineering builds and evolves the foundational systems that help our products run reliably at scale. In this staff role, you’ll bring clarity to complex technical problems, guide architecture, and strengthen how we design, deliver, and operate the backend services that power real-world experiences. Lead cross-team technical execution, aligning architecture and delivery across multiple squads and core domains Design and evolve microservices patterns that improve reliability, performance, and maintainability Drive cloud and deployment improvements across AWS, Mindbody’s cloud platform, and our containerized deployment environment Partner with engineering and product leaders to turn ambiguous problems into clear technical plans and milestones Establish and socialize standards for service design, APIs, and relational data modeling (SQL) Strengthen monitoring and operational visibility using New Relic and Kibana, turning insights into durable system improvements Mentor and unblock engineers through design reviews, pairing, and practical guidance Reduce technical risk and complexity while balancing

Location: Onsite – SoHo, New York City At Vise, we're building the future of investment management—powered by technology and driven by advisor needs. As a Senior Investment Strategist, you will play a key role in shaping our investment research, portfolio design, and platform capabilities. Reporting directly to the Co-CIO and working closely with our investment and product teams, you’ll lead research initiatives, design innovative portfolio strategies, and translate complex investment ideas into scalable, technology-driven solutions. This role is ideal for a highly analytical, market-savvy investment professional who excels at solving complex problems, developing differentiated strategies, and driving thought leadership. You’ll focus primarily on research, portfolio design, and the strategic frameworks that underpin our investment approach—while also collaborating cross-functionally to bring these ideas to life on the Vise platform. While this is a research-forward role, a client-first mindset is essential; you must be equally comfortable communicating with internal stakeholders and engaging with advisors when needed to ensure our solutions meet their evolving needs. What you bring on day one: Experience 5+ years of experience in investment research, portfolio strategy, or asset management Expertise in asset allocation, portfolio construction, risk modeling, or security selection Familiarity with advanced portfolio techniques such as direct indexing, tax optimization, factor investing, and systematic strategies Demonstrated success in developing and scaling investment frameworks or productized solutions Proficiency in Python and SQL to support research workflows, performance analysis, and custom data modeling Bloomberg fluency and experience with portfolio analytics platforms Experience working with product and engineering teams to build investment solutions into digital platforms Experience authoring investment research and/or white papers, or marketing comme

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Data Engineer - People Analytics role is a technical developer in IT and individual contributor for the People Analytics Data Engineering team responsible for the development of data warehouse modeling, data pipelines, and related analytics specific to People and Workforce analytics in cloud data platforms. Key Responsibilities: Data Pipeline Management Design, build, and manage robust data pipelines and ETL processes that integrate HR data from various systems, including Workday, talent management, payroll, and other data sources. Data Engineering and Transformation Develop and optimize data workflows to ensure data accuracy, quality, and availability for the People Analytics team and stakeholders across HR and business units. Technical Leadership Oversee a team of data engineers, providing mentorship, support, and guidance on best practices in data engineering, version control, and coding standards. Analytics & Reporting Support Work closely with People Analytics to structure data for analysis, develop data models, and create reproducible workflows that enable efficient reporting in R, Python, and other analytics tools. Data Security and Compliance Ensure data governance and security pro

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Data Engineer - People Analytics role is a technical developer in IT and individual contributor for the People Analytics Data Engineering team responsible for the development of data warehouse modeling, data pipelines, and related analytics specific to People and Workforce analytics in cloud data platforms. Key Responsibilities: Data Pipeline Management Design, build, and manage robust data pipelines and ETL processes that integrate HR data from various systems, including Workday, talent management, payroll, and other data sources. Data Engineering and Transformation Develop and optimize data workflows to ensure data accuracy, quality, and availability for the People Analytics team and stakeholders across HR and business units. Technical Leadership Oversee a team of data engineers, providing mentorship, support, and guidance on best practices in data engineering, version control, and coding standards. Analytics & Reporting Support Work closely with People Analytics to structure data for analysis, develop data models, and create reproducible workflows that enable efficient reporting in R, Python, and other analytics tools. Data Security and Compliance

Internship Summary Are you looking for an internship that provides real life experience? Phoenix Contact's Corporate Management Team is seeking a highly analytical and business-oriented Data Science & Analytics Intern to support strategic initiatives across Product Management, Operations, Sales, and Marketing. This role is ideal for students who enjoy combining technical data skills with business problem solving to identify trends, uncover opportunities, and recommend actions. Our Fall (Sept – Dec) interns work full time with the opportunity to continue through Spring. We strongly prefer candidates who can work onsite regularly to accelerate learning, collaboration, and business understanding. What does a typical day look like? Onsite Day Meet with Product Management, Operations, Manufacturing, Sales, or AEP teams to understand business challenges and decision-making needs. Analyze customer, product, pricing, operations, supply chain, and financial data to identify trends, root causes, and improvement opportunities. Translate ambiguous business questions into structured analytical approaches. Work directly with leadership and subject matter experts to understand product portfolios, operational processes, and customer dynamics. Build dashboards, predictive models, business cases, and executive-level recommendations. Present findings, risks, and recommended actions to stakeholders. Remote day: Deep analytical work including: Data mining and exploration Statistical analysis Predictive modeling Data cleansing and transformation AI-assisted analytics and automation Develop Power BI dashboards and self-service reporting tools. Prepare executive-ready presentations and recommendations. Document assumptions, methodologies, and business insights What makes this internship unique? Phoenix Contact is a global technology leader where interns work on real business challenges that impact customers, products, and operations. Unlike many internships focused solely on reporting,

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Product and Risk Data Engineering is Stripe's single source of truth data engineering layer for Payments, Risk, and Product — we enable Stripe to confidently run, measure, and grow the business by making accurate information easy to access. We curate and maintain high-quality data warehouses and pipelines that serve as the authoritative foundation for product and financial activity across Stripe, powering analytics, ML capabilities, agentic workflows, and merchant-facing data interfaces. Beyond building data, we act as the internal experts in data technologies and partner with Data Platform to deliver high-quality, low-friction data processing frameworks. We also serve as the bridge between data producers and data consumers — championing best-in-class data engineering practices and guiding product teams on event-driven data API modeling — so that every team at Stripe can build, decide, and grow from a trusted, well-engineered data foundation. What you’ll do We're looking for a person who could contribute to the team by solving high-impact, cutting-edge data problems. The ideal candidate will be someone that has built data pipelines for large scale volume, is deeply knowledgeable of key tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities. Responsibilities Lead the technical outcomes for

About Sapience AI Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This role owns the shape of the data that AI learns from and reasons over. You design the data models, schemas, and representations that connect a community’s knowledge to the models, the KO graph, and the COGENT architecture. You work where data architecture meets machine learning: how knowledge is modeled, how features and embeddings are represented, and how data flows from raw sources to the systems that reason over it. You are the person who makes sure the data foundation is coherent, so everything built on top of it, from retrieval to reasoning to models, has something solid and consistent to stand on. Why this role exists AI is only as good as the data it learns from and reasons over. When data models are inconsistent or poorly designed, every system downstream inherits the mess, and trust erodes. Modeling data for collective intelligence is hard: it has to serve models, graphs, retrieval, and reasoning at once, across many communities, without fragmenting. The Senior AI/ML Data Model Architect owns that foundation. You design the data models and representations that keep the platform coherent and let every AI system built on them work well. Wha

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Product and Risk Data Engineering is Stripe's single source of truth data engineering layer for Payments, Risk, and Product — we enable Stripe to confidently run, measure, and grow the business by making accurate information easy to access. We curate and maintain high-quality data warehouses and pipelines that serve as the authoritative foundation for product and financial activity across Stripe, powering analytics, ML capabilities, agentic workflows, and merchant-facing data interfaces. Beyond building data, we act as the internal experts in data technologies and partner with Data Platform to deliver high-quality, low-friction data processing frameworks. We also serve as the bridge between data producers and data consumers — championing best-in-class data engineering practices and guiding product teams on event-driven data API modeling — so that every team at Stripe can build, decide, and grow from a trusted, well-engineered data foundation. What you’ll do We're looking for a person who could contribute to the team by solving high-impact, cutting-edge data problems. The ideal candidate will be someone that has built data pipelines for large scale volume, is deeply knowledgeable of key tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities. Responsibilities Lead the technical outcomes for

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a multimodal engineer on the Imagine Model Team, you will develop cutting-edge AI experiences beyond text, with a strong focus on enabling high-fidelity understanding and generation across image and video modalities, while also incorporating audio where it enhances visual content (e.g., synchronized audio for video). Responsibilities span data curation, modeling, training, inference serving, and product integration, covering both pretraining and post-training phases. You will collaborate closely with product teams to push model frontiers and deliver exceptional end-to-end user experiences. RESPONSIBILITIES: Create and drive engineering agendas to advance multimodal capabilities, with emphasis on image and video generation, editing, understanding, controllable/long-horizon synthesis, agentic planning, RL training, and world simulation (including audio integration for richer video experiences). Improve data quality through annotation, filtering, augmentation, synthetic generation, captioning, and in-depth data studies, particularly for visual and audio data. Design evaluation frameworks, metrics, benchmarks, evals, and reward models tailored to image/video

Spotify’s Subscriptions Mission focuses on converting listeners into lifelong subscribers by delivering seamless, valuable experiences across pricing, packaging, and customer journeys. We build the systems and tools that power acquisition, retention, and overall subscription growth at scale. The Messaging Platform powers Spotify’s communications to over a billion users — from push notifications to emails and in-app messages that connect listeners to the content they love. Within this space, the Paloma squad focuses on message optimization: deciding which message reaches which user, through which channel, and at what moment. We’re evolving how messaging works at Spotify — moving from short-term optimization toward systems that understand long-term user journeys. By combining reinforcement learning approaches with deeper domain signals, we’re expanding how machine learning shapes the entire messaging funnel. What You'll Do Design, build, and ship machine learning models that optimize messaging across push, email, and in-app channels Plan and run A/B experiments in a multi-objective environment, balancing conversion, engagement, retention, and reachability Contribute to reinforcement learning systems that optimize for long-term user outcomes rather than immediate interactions Partner with product managers, data scientists, and engineers to define what success looks like and how to measure it Own the full ML lifecycle, from data and modeling to deployment, monitoring, and iteration Integrate ML models with upstream systems, including domain value signals and oppor

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The memory solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. The Smart Manufacturing and AI team at Micron Technology is looking for an ambitious engineer (Member of Technical Staff | MTS) to deliver industry-winning Agentic AI solutions that power Micron’s dominance in the highly competitive memory solutions market. This role sits at the intersection of applied Agentic AI engineering and production systems work: you will architect autonomous AI Agents and the agentic and data pipelines that power them, build robust CI/CD deployment paths to Kubernetes and containers, and push the limits of agent performance profiling and evaluation to turn massive data and compute into measurable manufacturing impact. Qualified applicants will have experience across data/cloud technologies and systems engineering, with extensive practice modeling data, querying, and deploying scalable pipelines to execute AI agents. You will collaborate with Data Scientists, Data Engineers and expert users to build and deploy scalable Agentic AI solutions that drive value and insight from Micron’s manufacturing processes and systems. If you enjoy solving hard problems at scale, thrive on turning speculative research in

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Summary – Member of Technical Staff - Agentic AI Architect, Smart Manufacturing AI Pathfinding & Innovation (AIPI) Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The memory solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. The Smart Manufacturing and AI team at Micron Technology is looking for an ambitious engineer (Member of Technical Staff | MTS) to deliver industry-winning Agentic AI solutions that power Micron’s dominance in the highly competitive memory solutions market. This role sits at the intersection of applied Agentic AI engineering and production systems work: you will architect autonomous AI Agents and the agentic and data pipelines that power them, build robust CI/CD deployment paths to Kubernetes and containers, and push the limits of agent performance profiling and evaluation to turn massive data and compute into measurable manufacturing impact. Qualified applicants will have experience across data/cloud technologies and systems engineering, with extensive practice modeling data, querying, and deploying scalable pipelines to execute AI agents. You will collaborate with Data Scientists, Data Engineers and expert users to build and deploy scalable Agentic AI solutions that drive value and insight from Mi