Data Integrations Specialist Jobs

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are seeking an Integration Product Manager to lead the integrations that power daily operations for Registered Investment Advisors (RIAs). In this role, you will be responsible for the workflows and tools that connect Addepar with key ecosystem partners, primarily focused on Salesforce and Custodial integrations. You will partner closely with engineering, design, and client experience teams to scale our custodial workflows and evolve our Salesforce integration toward intuitive, self-service onboarding and management. As part of Addepar’s data and AI platform, you will identify and integrate AI-driven capabilities that improve our user experience and workflows. You will engage comfortably with technical teams on API specifications and data discovery and you will focus on guiding feature delivery, crafting and executing on the roadmap, and ensuring measurable outcomes for our RIA clients. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What You’ll Do Build a deep understanding of our CRM and Custodial Document workflows, learning how RIAs rely on Addepar’s integration ecosystem for their daily operation

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: The Staff Data Engineer is a senior, hands-on technical contributor within an Enterprise Data domain, owning technical design and the most complex implementation work for assigned data products, capabilities, and integrations. The role establishes, communicates, and evolves the technical approach for the work it leads and is accountable for the quality, durability, and supportability of the solutions it shapes. Staff Data Engineers work directly with business stakeholders to understand needs and shape technical solutions, engaging at a level appropriate to the work they lead. The role is expected to be fluent in both technical execution and business context, translating between them without losing precision in either. The Staff Data Engineer sets technical direction for assigned capabilities and initiatives within the domain, applies enterprise standards and platform patterns, engages Principal Engineers where cross-domain considerations apply, and multiplies the effectiveness of the domain team through design leadership, code review, and mentoring. This role is based in Madison, WI . Essential Duties Include, but are not limited to, the following: Technical design and solutioning Own technical design and hands-on delivery for the most complex or highest-risk work across assigned data products, capabilities, and initiatives, including data models, pipeline architecture, integration patterns, and platform usage decisions. Produce design docume

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role We're looking for a Staff level Engineer to lead the design and development of a next-generation Data Platform at Vercel. This is a unique opportunity to architect a foundational system that will power data across our products and business, supporting everything from real-time analytics to AI/ML initiatives. Reporting directly to the Senior Director of Data Engineering, you'll define the technical vision for our data ecosystem, work across the organization to align engineering strategy with product goals, and build scalable, reliable systems using modern technologies like Kafka, ClickHouse, Tinybird, and Snowflake. You'll lead from the front, writing production-grade code, setting high standards for design and data governance, and mentoring a team of engineers as the organization grows. If you're excited by the challenge of building scalable data systems that drive product innovation, we'd love to hear from you. What You Will Do Design and implement a next-generation data platform that supports diverse requirements, including batch and real-time integrations, advanced analytics, and multiple data types, leveraging Kafka, Kafka-based tooling, and additional streaming technologies to power real-time data movement and processing. Work with engineering, product, and senior leadership teams across Vercel to architect solutions that address business needs, aligning technical strategies with product goals and ensuring seamless data availability and usability. Define and maintain guidelines for data ingestion, creation, enrichment, and stor

Role Overview Build reliable software services that power products, platforms, and business decisions. As a Senior Software Developer, you’ll design and deliver scalable applications, backend services, and integrations that perform well in production and evolve with changing business needs. You’ll apply strong software engineering practices across APIs, data-intensive applications, cloud services, AI-enabled solutions, and deployment pipelines. You’ll help shape technical solutions, improve system reliability, and contribute to a high-quality engineering culture. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Design and develop scalable backend services and applications using Python or TypeScript. Lead the development of APIs, integrations, reusable software components, and AI-enabled features. Build reliable solutions for data ingestion, manipulation, service-to-service communication, and intelligent automation. Apply AI technologies and modern software engineering practices to improve product capabilities, developer productivity, and operational efficiency. Make sound technical decisions around architecture, performance, security, scalability, and maintainability. Deploy and operate applications using AWS services and CI/CD practices while improving testing, monitoring, documentation, and delivery standards. These are the essentials you’ll need to get an interview 5+ years of professional experience developing and delivering production software. Strong hands-on experience with Python; TypeScript or similar languages is also valuable. Proven experience building backend services, APIs, integrations, and service-oriented applications. Experience applying AI technologies, such as generative AI, machine learning services, intelligent automation, or AI-enabled application features. Strong understanding of software design principles, testing, debugging, performance optimization, and secure development. Experience working with cloud platfor

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are looking for a Senior Software Engineer to join the Integrations Team and help us build how Elastic shows up inside the AI ecosystem. AI assistants and agentic tools are quickly becoming the place where developers start their work, and this role exists to make Elastic work in the tools and ecosystems that our users use. We want to be easy to find, easy to connect to, and easy to use. The Integrations team owns the developer-facing surfaces that connect Elastic to the broader ecosystem: language clients, CLI, MCP server, third-party integrations, and the skills that make Elastic accessible wherever developers work. You'll build and maintain these projects, engage directly with the developer community, and contribute across team and cross-functional initiatives. This is fast-moving territory. We want someone who enjoys an ambiguous, quick-shifting space, who forms opinions about what should be built and not only how, and who is comfortable working closely with our product teams and external partners. Prior experience with the Elastic product suite is not essential, but is beneficial. What You Will Be Doing You'll build and evolve the Elastic MCP server and the infrastructure behind it, working primarily in Go. You'll build the platform for universal agent skills: the portable format, the authoring and publishing tooling, and

OVERVIEW: The Data Engineer, Pr 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. The Data Engineer, Pr will be a technical escalation point for the team, design solutions and provide oversight and direction on technical development and implementation aspects to the team of existing data engineers on various software service delivery related activities. KEY TASKS & RESPONSIBILITIES: ➢ Function as a technical lead to lead consulting efforts related to clinical systems software and design and develop any reporting programs as needed ➢ Provide programming support and quality control for system configuration, Data Extracts, Custom Reports and Visualizations. ➢ Manage/Mentor technical resources to deliver client services. ➢ Provide training services as needed to internal and external users working with training staff ➢ Ensure compliance with eClinical and industry quality standards, guidelines, and procedures. ➢ Work closely with Sales Teams on staffing and project delivery services. ➢ Define new/enhanced processes to support new and existing modules in elluminate. ➢ Other duties as assigned. CANDIDATE’S PROFILE : Education & Experience: ➢ 10+ years of professional experience, preferably in Services or senior consulting role preferred. ➢ Basic Science/Bachelor of Science or Master of Science degree in Computer Science and/or equivalent work experience preferred . ➢ 8+ years in database design and development experience Position: Data Engineer, Pr ➢ Prior experience of leading technical teams is a plus. ➢ Thorough experience in data warehou

VTS's Lease integrations connect our platform to the property management and accounting systems - Yardi, MRI, JDE, and others - that our customers run their portfolios on. When those integrations are healthy, data flows automatically and customers trust what they see in VTS. The Integrations and API Support Advisor owns the health of these integrations end-to-end - proactively monitoring for failures before customers notice them, and resolving the inbound requests that come in when something breaks or needs to change. Success in this role is simple to state and hard to deliver: every integration stays active, and customers can always rely on the integrity of the data VTS is showing them. ** Please note that this opportunity is located in New York, NY, and requires this hire to work from our office 4 days a week. ** What you can expect as an Integrations and API Support Advisor: At VTS, you'll join the Integrations Support team as a critical layer between our customers' source systems and the VTS platform. You'll: Own Integration Health : Monitor active Yardi, MRI, SAP, and custom API integrations for failures, stalled syncs, and missed feeds. Proactively identify and resolve issues - such as failed nightly imports, integrations stuck in "processing," or ETL files not arriving via SFTP - before they escalate into customer-reported problems. Resolve Data Integrity Issues : Investigate and fix discrepancies between VTS and source systems, including mismatched square footage, missing or duplicated leases, orphaned records, incorrect rent or lease terms, and unit/space mapping errors. Trace root causes across the integration pipeline rather than just patching symptoms. Manage the Customer Support Queue : Respond to and resolve inbound tickets covering the full integration lifecycle - API credential and access requests, asset archiving and disposition processing, source ID/BU remapping, stacking and site plan corrections, and MRI/Yardi version upgrades and migrations. Par

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are looking for a Senior Software Engineer to join the Integrations Team and help us build how Elastic shows up inside the AI ecosystem. AI assistants and agentic tools are quickly becoming the place where developers start their work, and this role exists to make Elastic work in the tools and ecosystems that our users use. We want to be easy to find, easy to connect to, and easy to use. The Integrations team owns the developer-facing surfaces that connect Elastic to the broader ecosystem: language clients, CLI, MCP server, third-party integrations, and the skills that make Elastic accessible wherever developers work. You'll build and maintain these projects, engage directly with the developer community, and contribute across team and cross-functional initiatives. This is fast-moving territory. We want someone who enjoys an ambiguous, quick-shifting space, who forms opinions about what should be built and not only how, and who is comfortable working closely with our product teams and external partners. Prior experience with the Elastic product suite is not essential, but is beneficial. What You Will Be Doing You'll build and evolve the Elastic MCP server and the infrastructure behind it, working primarily in Go. You'll build the platform for universal agent skills: the portable format, the authoring and publishing tooling, and

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are looking for a Senior Software Engineer to join the Integrations Team and help us build how Elastic shows up inside the AI ecosystem. AI assistants and agentic tools are quickly becoming the place where developers start their work, and this role exists to make Elastic work in the tools and ecosystems that our users use. We want to be easy to find, easy to connect to, and easy to use. The Integrations team owns the developer-facing surfaces that connect Elastic to the broader ecosystem: language clients, CLI, MCP server, third-party integrations, and the skills that make Elastic accessible wherever developers work. You'll build and maintain these projects, engage directly with the developer community, and contribute across team and cross-functional initiatives. This is fast-moving territory. We want someone who enjoys an ambiguous, quick-shifting space, who forms opinions about what should be built and not only how, and who is comfortable working closely with our product teams and external partners. Prior experience with the Elastic product suite is not essential, but is beneficial. What You Will Be Doing You'll build and evolve the Elastic MCP server and the infrastructure behind it, working primarily in Go. You'll build the platform for universal agent skills: the portable format, the authoring and publishing tooling, and

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are looking for a Senior Software Engineer to join the Integrations Team and help us build how Elastic shows up inside the AI ecosystem. AI assistants and agentic tools are quickly becoming the place where developers start their work, and this role exists to make Elastic work in the tools and ecosystems that our users use. We want to be easy to find, easy to connect to, and easy to use. The Integrations team owns the developer-facing surfaces that connect Elastic to the broader ecosystem: language clients, CLI, MCP server, third-party integrations, and the skills that make Elastic accessible wherever developers work. You'll build and maintain these projects, engage directly with the developer community, and contribute across team and cross-functional initiatives. This is fast-moving territory. We want someone who enjoys an ambiguous, quick-shifting space, who forms opinions about what should be built and not only how, and who is comfortable working closely with our product teams and external partners. Prior experience with the Elastic product suite is not essential, but is beneficial. What You Will Be Doing You'll build and evolve the Elastic MCP server and the infrastructure behind it, working primarily in Go. You'll build the platform for universal agent skills: the portable format, the authoring and publishing tooling, and

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are looking for a Senior Software Engineer to join the Integrations Team and help us build how Elastic shows up inside the AI ecosystem. AI assistants and agentic tools are quickly becoming the place where developers start their work, and this role exists to make Elastic work in the tools and ecosystems that our users use. We want to be easy to find, easy to connect to, and easy to use. The Integrations team owns the developer-facing surfaces that connect Elastic to the broader ecosystem: language clients, CLI, MCP server, third-party integrations, and the skills that make Elastic accessible wherever developers work. You'll build and maintain these projects, engage directly with the developer community, and contribute across team and cross-functional initiatives. This is fast-moving territory. We want someone who enjoys an ambiguous, quick-shifting space, who forms opinions about what should be built and not only how, and who is comfortable working closely with our product teams and external partners. Prior experience with the Elastic product suite is not essential, but is beneficial. What You Will Be Doing You'll build and evolve the Elastic MCP server and the infrastructure behind it, working primarily in Go. You'll build the platform for universal agent skills: the portable format, the authoring and publishing tooling, and

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

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: The Data Center Engineering team builds the internal systems and platforms that keep our data centers running at the scale and reliability required for frontier AI training and inference. We partner closely with datacenter operations, research, and infrastructure teams to deliver high-leverage tools that turn raw operational data into clear insight and action. RESPONSIBILITIES: Build and operate the software stacks that make site operations scalable, auditable, and fast — including repair trackers, vendor turnback workflows, operational dashboards, and their integrations. Your users are the technicians, managers, NOC operators, and leadership who run the fleet. Design, build, and operate multi-service production systems (UI, APIs, data pipelines, auth, and on-call) for systems such as SRT-style repair/maintenance trackers and vendor turnover/turnback state machines. Own correctness of operational state: node state accuracy, queue ownership, and audit trails — the data that decides what work happens on the floor. Build and maintain integrations with ticketing, inventory/rack systems, telemetry stores, and vendor portals. Keep the tools themselves reliable: uptime,

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: We’re reinventing how People Operations runs at Vercel — and this role sits right at the center of it. You’ll help us build and integrate Vercel-powered tools that replace legacy busywork with something genuinely fast and modern. If you get excited about composable HR tech and shipping tools people actually want to use, this is that role. You’ll also own and evolve our core Workday integrations, partnering closely with People, Finance, IT, and Engineering stakeholders to keep our HR systems reliable, secure, and scalable. This role blends hands-on integration work with real functional fluency in People Operations — you’ll need to understand not just how data moves between systems, but why our stakeholders need it to move that way. You will report to the Director of People Operations, Infrastructure & Services and will be located in one of our hub locations (San Francisco, New York, or Austin). What You Will Do: Help us build the future -- build and integrate Vercel-powered internal People tools that will define how this team works, and support our push towards a headless HR tech stack Build, maintain, and troubleshoot Workday integrations (EIB, Core Connectors/Cloud Connect, Workday Studio, APIs) that support key People Operations and Finance workflows. Partner directly with People Operations, Finance, IT, and Engineering stakeholders to understand process requirements and translate them into reliable, well-documented integration solutions. Develop working knowledge of core People Operations processes — like hire-to-retire, com

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