Data Integrations Specialist Jobs

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions.We tackle a wide range of challenges - from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. Lyft Business builds products that help organizations move the people who matter most - employees, customers, patients, and guests - easily and efficiently. Our offerings include Business Travel, Lyft Pass, and Concierge (for healthcare and non-healthcare rides), enabling companies to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and dedicated tools. These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs. We are seeking a Senior Data Scientist to lead technical initiatives across the entire Lyft Business product suite. In this role, you will shape the technical vision, define algorithmic roadmaps, and drive execution for data science projects that accelerate growth, improve operational efficiency, and deliver measurable value to our enterprise partners. You’ll collaborate closely with Product, Engineering, Design, and Go-to-Market teams to build production ML models, experimentation frameworks, and advanced analytics that inform strategy and power product innovation. This is a high-visibility, high-impact role with direct influence on Lyft’s enterprise offerings. The ideal candidate will bring deep expertise in algorithm development, machine learning, causal inference, and experimentation, alongside strong business acumen in B2B contexts and a proven track record of t

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, our People team is the backbone of an extraordinary employee experience. As a Principal Integrations Developer on the People Systems team, you'll design, build, and maintain the integrations that connect our people systems — ensuring seamless, secure, and scalable data flow across our global ecosystem as Snowflake continues to grow. This is a hybrid role based in our Dublin, CA or Menlo Park, CA offices with 3 days a week in-office attendance required. WHAT YOU'LL DO: Design, build, test, and maintain Workday integrations using technologies such as Workday Studio, EIB, Core Connectors, and Workday Web Services (SOAP/REST) Partner with internal stakeholders and external vendors to understand business requirements and translate them into scalable integration solutions Provide production support for integrations, including monitoring, troubleshooting failures, performing root cause analysis, and implementing fixes Develop and maintain inbound and outbound integrations between Workday and third-party systems (e.g., payroll, benefits, finance, IT systems) Support data pipelines between Workday and our own instance of Snowflake, including the migration to Workday Zero Copy Data cloud Ensure data accuracy, integrity, and security across integrations, adhering to gove

OVERVIEW The Data Engineer, Sr - I will work closely with clients and provide high level technical consulting services, configuration of the elluminate® platform, development and oversight for specific projects that include trial configuration, quality control, project management, assessing new technologies, process improvements, system validation, SOP development, custom analytics development, clinical software implementations and integrations, platform configuration, ETL and custom analytics development. As a Data Engineer, Sr - I, you will serve as the primary technical lead, spearheading consulting efforts related to clinical systems software. You will also design and develop reporting programs as needed. KEY TASKS & RESPONSIBILITIES Leading consulting efforts and providing high-level technical consulting services to clients, including configuring the elluminate® platform and overseeing specific projects such as trial configuration, quality control, and project management. Designing, developing, testing, and deploying efficient SQL code to support SDTM, custom reports, and visualizations using tools like MS SQL, elluminate® Mapper, and Qlik. Providing technical guidance, training, and support to team members and users on processes, technology, and products. Managing multiple timelines and deliverables for single or multiple clients, and handling client communications as assigned. Possessing high-level debugging skills for ETL or analytical issues by referring to the required source data. Demonstrating in-depth knowledge of at least one Elluminate module, with hands-on experience in all other modules. Delivering proactive technical support for all client-reported support tickets. Facilitating client onboarding workshops and conducting training sessions for end users on the Elluminate platform. Configuring, migrating, and supporting the elluminate® platform for assigned clients. Creating and maintaining all required specifications and qual

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. OVERVIEW The Data Engineer, Sr - I will work closely with clients and provide high level technical consulting services, configuration of the elluminate® platform, development and oversight for specific projects that include trial configuration, quality control, project management, assessing new technologies, process improvements, system validation, SOP development, custom analytics development, clinical software implementations and integrations, platform configuration, ETL and custom analytics development. As a Data Engineer, Sr - I, you will serve as the primary technical lead, spearheading consulting efforts related to clinical systems software. You will also design and develop reporting programs as needed. KEY TASKS & RESPONSIBILITIES Leading consulting efforts and providing high-level technical consulting services to clients, including configuring the elluminate® platform and overseeing specific projects such as trial configuration, quality control, and project management. Designing, developing, testing, and deploying efficient SQL code to support SDTM, custom reports, and visualizations using tools like MS SQL, elluminate® Mapper, and Qlik. Providing technical guidance, training, and support to team members and users on processes, technology, and products. Managing multiple timelines and deliverables for single or multiple clients, and handling client communications as assigned. Possessing high-level debugging skills for ETL or analytical issues by referring to the required source data. Demonstrating in-depth knowledge of

NVIDIA's Digital Marketing Operations team is seeking a Senior Data Engineer to help build the shared data infrastructure that powers customer engagement, campaign intelligence, and marketing analytics at scale. Our data platform transforms customer behavioral signals, audience definitions, consent records, campaign metadata, and activation outputs into trusted, governed data products for marketing, analytics, personalization, campaign operations, and regional teams worldwide. These products enable audience segmentation, campaign performance measurement, privacy-compliant data activation, identity resolution, and the continued growth of NVIDIA's marketing technology ecosystem. We would love for you to apply today! What You'll Be Doing: Own a key data domain within Digital Marketing Operations, spanning pipelines, data products, audience services, and consumer teams. Shape its architecture and interfaces while anticipating needs related to scale, reliability, performance, privacy compliance, security, cost, and compatibility. Lead complex, cross-functional initiatives. Collaborate across engineering, marketing, and operations stakeholders to translate requirements into clear data architectures, write high-quality code in the critical path, and drive integrations safely into production. Architect, implement, and evolve batch and streaming pipelines that ingest, transform, reconcile, and serve customer behavioral, audience, campaign, consent, and activation data at scale. Build reliable, maintainable systems leveraging distributed processing frameworks, workflow orchestration tools, cloud data warehouses, object storage, and pub/sub messaging platforms. Build and evolve shared data quality frameworks and engineering standards that improve pipeline reliability, consistency, and efficiency across teams. Lead production incident investigations across pipelines, distributed processing, storage, an

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a

Become a part of our caring community Humana’s Product organization is seeking a Lead Product Manager to drive the strategy, development, and optimization of the Adobe Experience Platform (AEP) in support of Adobe Web Integrations for Authenticated and Unauthenticated Web Channels. In this role, you will serve as a key product leader responsible for translating business needs into platform capabilities that enable personalized, data-driven customer experiences. You’ll work closely with cross-functional teams to deliver scalable solutions across Real-Time CDP, Journey Optimizer, and Customer Journey Analytics. This role is focused on growing adoption and usage of Adobe Experience Platform as an enterprise platform while supporting and scaling capabilities to support Authenticated (MyH) and Unauthenticated ( H.com) driving dynamic, context-aware customer engagement on Web channels. Success in this role means partnering with key lines of business to translate requirements into detailed product features for engineering teams to enable, while building decisioning strategies that optimize customer outcomes and business value. Key Role Functions Product Strategy & Vision Collaboratively own and manage the product backlo

About the Team The Supply Chain Technology team within OpenAI’s Enterprise Platform & Technology builds and scales the systems and data architecture that power our core supply chain operations. We enable operational agility, visibility, and execution across planning through fulfillment and partner operations. Our focus is on modernizing workflows through strategic integrations, scalable automation, and seamless data flows empowering better decisions, reliable operations, and sustainable growth as OpenAI evolves. About the Role As a Senior Integrations Engineer, you will design, build, and operate the integrations and custom applications that connect OpenAI’s supply chain ecosystem. You will combine integration platforms, Python development, and APIs to deliver reliable data flows across enterprise systems, internal applications, and external partners. You will partner closely with Hardware Operations, Application Engineers, Product Managers, IT, and business teams to improve data integrity, automate operational workflows, and support the transition from legacy systems to modern cloud platforms. This is a hands-on engineering role with ownership across architecture, implementation, deployment, and ongoing production support. In this role, you will Define integration architecture and reusable design patterns across the supply chain technology landscape, balancing reliability, security, maintainability, and delivery speed. Build and support integrations connecting ERP and SCM systems, internal applications, e-commerce platforms, third-party logistics providers (3PLs), contract manufacturers (CMs), retailers, and distributors. Develop workflows, APIs, event-driven services, and batch and file interfaces, choosing the appropriate combination of platform capabilities and custom code. Build production Python applications, integration services, reusable connectors, and operational tools with automated tests and maintainable interfaces. Implement API and EDI partner inte

The Experience team designs Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Content Intelligence Product Area is a core part of Spotify’s Content Platform within the Experience mission. We build systems that create deep, machine-readable understanding of content across audio, video, text, and images before it reaches users. This enables automation, safety, and entirely new product experiences. Our work powers content enrichment, quality analysis, annotation platforms, and scalable intelligence systems that allow teams across Spotify to build without needing direct content understanding expertise. We’re looking for a Senior Backend Data Engineer to help build and scale the systems powering content understanding across Spotify. This role sits at the intersection of backend engineering, distributed data systems, ML infrastructure, and applied AI. You’ll take end-to-end ownership of significant engineering problems while working alongside other Engineers. What You Will Do Design, build, and evolve scalable backend and data systems powering Spotify’s content intelligence capabilities Take end-to-end ownership of significant engineering projects, from technical design and architecture through implementation and operation Build reliable infrastructure for large-scale content processing across audio, video, text, and images Create RFCs and contribute to ar

Role Overview Build the software services that power products, platforms, and better business decisions. As a Software Engineer II, you’ll develop scalable backend applications, APIs, integrations, and AI-enabled features using Python and cloud technologies. You’ll contribute to solutions from design through production, helping improve reliability, performance, security, and developer productivity. This is an opportunity to solve meaningful engineering challenges, grow your technical ownership, and collaborate with experienced engineers across the development lifecycle. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Design and build scalable backend services, REST APIs, integrations, and reusable software components using Python and, where relevant TypeScript. Develop data ingestion, transformation, service-to-service communication, and automation capabilities that support reliable product experiences. Contribute to AI-enabled features and use AI development tools responsibly to improve coding, testing, research, documentation, and delivery. Apply sound engineering practices across architecture, performance, security, testing, debugging, and maintainability. Deploy and operate services using AWS and CI/CD workflows, contributing to monitoring, troubleshooting, documentation, and continuous improvement. Partner with engineers and cross-functional colleagues through design discussions, code reviews, technical problem-solving, and knowledge sharing. These are the essentials you’ll need to get an interview 3–5 years of professional experience building and delivering production software in an agile environment. Strong hands-on experience with Python and backend development, including APIs, integrations, or service-oriented applications. Experience working with cloud platforms, preferably AWS, and familiarity with deployment or CI/CD practices. Working knowledge of software design principles, testing, debugging, performance optimization, an

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The Integrations Operations Engineering (IOE) team strengthens Plaid's network with financial institutions by directly resolving integration issues to increase the reliability and quality of data, and by building new integrations to grow our financial network. We sit at the nexus of engineering, a deep understanding of Plaid's products and customers, and direct financial-institution relationships: we write and ship the code that keeps connectivity healthy, we use data to focus on the issues with the greatest customer impact, and we work directly with data partners (the financial institutions and platforms themselves) to resolve the problems that can't be fixed from our side alone. The team plays a mission-critical role in ensuring industry-leading connectivity so our customers can meet ever-expanding financial-services use cases and reach as many users as possible. What You'll Do Investigate and resolve the highest-impact integration issues by writing maintainable, tested code and deploying it to production, then monitor for regression or degradation after your changes ship. Prioritize by customer impact. The team runs a business-value-based prioritization model that automatically

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a

About LeafLink LeafLink is the largest unified B2B cannabis platform, providing licensed cannabis businesses a suite of tools to manage their business more effectively, sell or order from their favorite brands and accelerate growth. We are one platform, one solution and we’re defining the way thousands of cannabis brands, distributors, and retailers streamline their operations. With thousands of brands and retailers across 30+ markets in North America, we are setting the industry standard for how cannabis businesses grow together. LeafLink processes more than $5 billion in wholesale cannabis orders annually. Our team, backed by funding from leading VC's, including Founders Fund, Thrive Capital, Nosara Capital, and Lerer Hippeau is poised to define the cannabis supply chain through technology. LeafLink was named one of Inc. 5000’s ‘Top 5000 Fastest-Growing Private Companies’; one of Fast Company's 'Top 10 Most Innovative Companies in Enterprise for 2020', joining the ranks of Amazon, Slack, and VMWare; one of Built In NYC's 'Best Places to Work in 2021'; 2024 Fast Company’s Best WorkPlaces for Innovators for Banking, Finance, and Fintech category; 2024 Green Market Report Award for Best Fintech in cannabis - and we're just getting started! The Role LeafLink is seeking a Staff Data Engineer to help lead the evolution of our data platform and analytics infrastructure. This role will design and scale systems that power analytics, reporting, and operational insights across the organization. Staff Data Engineers influence how data is modeled, moved, and consumed across the company. This role partners with engineering, finance, product, and operations teams to ensure the data platform remains reliable, scalable, and capable of supporting critical decision-making. What You’ll Be Doing Design and lead development of scalable data pipelines using Airflow, dbt, and Python. Guide architecture and evolution of the company data platform. Build integrations across modern dat

Job Summary The Regional Master Data Management (MDM) Manager II is a senior-level individual contributor responsible for the governance, quality, integrity, and strategic management of enterprise master data across regional and global business operations. As a recognized subject matter expert, the Regional Master Data Management (MDM) Manager II provides leadership and oversight for master data governance programs, ensuring data consistency, accuracy, and compliance across enterprise systems, integrations, and analytical platforms. Working closely with business stakeholders, data stewards, IT teams, and global governance organizations, the Regional Master Data Management (MDM) Manager II drives the development and execution of data standards, quality controls, and governance practices that support operational excellence, regulatory compliance, and informed business decision-making. The Regional Master Data Management (MDM) Manager II serves as a key escalation point for complex master data challenges, leads cross-functional initiatives to improve data quality and governance maturity, and supports enterprise transformation efforts through trusted and scalable data management practices. Although the Regional Master Data Management (MDM) Manager II does not have direct people management responsibilities, the role provides leadership through expertise, influence, and collaboration. The Regional Master Data Management (MDM) Manager II independently manages complex initiatives, mentors stakeholders on master data management best practices, and drives alignment between regional business requirements and global data strategies to maximize the value of enterprise master data. Responsibilities Lead the regional execution of global master data governance strategies, policies, standards, and operating procedures across assigned data domains. Partner with global governance teams to defi