Senior Data Warehouse And Integration Engineer Jobs

About the Role Chime’s Data Platform team builds the infrastructure every engineering and analytics team depends on - ingestion, transformation, quality, governance, and self-serve tooling across batch and streaming workloads. You’ll own core platform systems at scale, design the frameworks other teams build on, and set the technical standards for how data moves through Chime. High autonomy, real architectural trade-offs, production impact from day one. We’re hiring multiple engineers into this role at the senior level. In this role, you can expect to Design, build, and operate self-serve ETL/ELT frameworks supporting both batch and streaming workloads, with direct ownership of pipeline reliability, data quality SLAs, and schema evolution Drive the technical roadmap for our data platform - evaluate build-vs-buy decisions, define integration patterns, and set standards that engineering teams across the company adopt Partner with Product Engineering, Data Science, Analytics, and Marketing as a technical lead to design data contracts, onboard new data domains, and scale ingestion without sacrificing governance Architect and enforce data lineage, schema registry, and access controls across all domains - ensuring compliance with fintech regulatory requirements (SOX, PII handling) Own the platform - monitor, alert, debug, and resolve incidents across the data platform with the urgency expected of infrastructure that powers financial products Raise the technical bar of the team through code review, design reviews, and hands-on mentorship of junior and mid-level engineers Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary. To thrive in this role, you have 5+ years building, shipping, and operating data infrastructure in production - not just writing pipelines, but owning their reliability, performance, and cost at scale Strong system design skills - you’ve written desig

Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your Impact on our Mission: Zocdoc is hiring a Senior Software Engineer to build the data platform that connects our products with analytics, machine learning, and operational systems. This role sits on the Data Engineering team at the boundary of backend engineering and data infrastructure. You will build APIs, libraries, schemas, services, and supported workflows that help engineers publish and use data safely. Your work will cover the path from source-defined contracts and validation through reliable event and batch delivery to data activation in products and business systems. You will help make quality, ownership, observability, and privacy part of the platform, while giving teams a clearer path to ship without depending on Data Engineering for every integration. You’ll enjoy this role if you are… Excited to build platform products for other engineers, turning ambiguous problems into practical APIs, SDKs, shared libraries, command-line tools, and services that you also help operate. Interested in the full lifecycle of data, including how it is defined

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role As a member of our Business Systems Engineering team, you will build or improve tools that are used daily by Verkada resellers, external integration platforms, and internal teams across the company. Our goal is to find bottlenecks and friction points, and drive process improvements, as well as come up with technical solutions. Our team is the custodian of data that is used by finance, orders, supply chain, and people teams. We emphasize automation over operation, metrics over anecdotes, iteration over perfection, and being proactive over responsive. We are committed to a thriving in-office culture. This role requires you to be onsite at our HQ in San Mateo, CA. What You'll Do Design and implement simple and efficient UI/UX that allow Verkada partners to interact with Verkada Work with PMs to simplify and enhance the overall Verkada

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

Role Overview We are looking for a Senior FP&A Engineer to lead the design and implementation of enterprise planning solutions across Finance, Sales, and Workforce domains. This role will be part of a Global Finance Technology, partnering closely with onshore FP&A, RevOps, and other Business teams. You will play a key role in driving the organization’s transition to driver-based, integrated planning using platforms such as Pigment, Anaplan, and Workday Adaptive Planning, while ensuring scalability, governance, and high-quality delivery from India. We are looking to speak to candidates who are based in Gurugram or Bangalore for our hybrid working model. Key Responsibilities 1. Enterprise Planning Delivery Design and build scalable planning models across: Financial Planning (P&L, Cash Flow, Balance Sheet) Workforce Planning and Cost modeling Sales & Revenue forecasting (ARR, pipeline, bookings) Own end-to-end delivery working with the Product Manager : design → build → test → deploy → support 2. Model Development & Optimization Build multi-dimensional, driver-based models with strong focus on performance Develop scenario planning, versioning, and forecasting capabilities Optimize model size, calculation efficiency, and user experience 3. Platform Expertise Subject Matter Expertise in: Pigment Anaplan (Model Builder / Solution Architect) Configure workflows, security, and access controls Leverage platform-native capabilities vs over-customization 4. Data Integration & Automation Integrate planning tools with enterprise systems: ERP (NetSuite / Oracle) CRM (Salesforce) Data platforms Build and maintain automated data pipelines using SQL, APIs, or ETL tools 5. Stakeholder Collaboration (Global Model) Work closely with US / EMEA FP&A, IT, and Business teams Participate in requirement workshops and translate business needs into technical designs Provide regular updates, demos, and documentation to global stakeholders 6. Governance, C

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. Join the engineering team that builds the AI-native apps, agents, and tools the rest of Amplitude runs on. We are full stack, automation, integration, and data engineers delivering internal apps, data products, automations, and integrations to Finance, People Ops, Product Ops, Legal, HR, and more. We embed in each team, become experts in their business problems, partner on the solution, and accelerate time-to-value. This is an AI-first, full-stack software engineering role spanning the complete scope of our team’s work. Your engineering experience and fluency with frontier AI technologies will drive continuous improvements in both the systems we build the way we build them. The sum total of this work will produce meaningful business impact on the way all of Amplitude’s critical business functions operate. As a Senior Software Engineer, you will: Desi

About the Team DoorDash’s mission is to grow and empower local economies. By building intelligent last-mile delivery technology for local cities, DoorDash connects people with the local businesses they care about — helping grow those businesses and the communities that support them. The Marketing Technology team is responsible for building and delivering best-in-class tools, data, and processes so teams at DoorDash can effectively acquire new customers, drive retention, and grow new business lines across all our audiences. Our mission is to enable teams to deliver personalized, engaging, and relevant content across all our owned and paid channels. We partner closely with Product, Engineering, Data Science, and Analytics teams to translate Marketing’s technology needs into measurable business outcomes for our Growth and Performance Marketing teams. About the Role We're hiring a Senior Associate, Marketing Technology & Measurement, to be the hands-on builder of the measurement systems that enable our marketing org to move faster and prove impact at scale. With 4+ years of experience, you'll own the measurement foundations – tracking link architecture, postback configurations, and pixel governance across our MMP stack (Singular, Appsflyer), plus paid-media platform integrations (Meta, TikTok, Reddit, Snap, TTD, affiliate, and more). But maintaining that infrastructure is the baseline, not the goal. You'll spend much of your time helping build and improve the tooling and automations, including AI-assisted measurement workflows, that make channel and creative teams faster, streamlining how they launch, optimize, and prove impact. You'll partner with senior team members to turn repetitive measurement work into repeatable systems, so the team spends less time on manual setup and more on insight. This is a technical marketer role requiring deep mobile measurement expertise, strong SQL skills, hands-on integration experience, and comfort building AI-enabled workflo

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Analytics Infrastructure team’s mission is to enable universal data-informed decision-making at Airbnb. We achieve this by providing an integrated suite of analytics frameworks, services and applications. We’re infrastructure and full stack engineers with a human focus: customer-centric, quality driven, helpful and empathetic. As a backend / fullstack software engineer on the Analytics Products team (which is part of Analytics Infrastructure) you will have the opportunity to build data tools which enable data practitioners to efficiently explore and analyze data to create insights. The team manages data products used by 7,000 monthly active users, including our in-house build AI for Data product, BI product ( Apache Superset ) and Notebooks and their integrations within the Data Platform tooling, like Airbnb’s in-house build Metric system which enables metric consistency at scale. The Difference You Will Make: Shape up the future of AI powered Data Analytics at Airbnb. By working on improvements to our AI agent for Data, researching industry best practices and AI advancements, you will get to shape up and drive how our internal users get value from data. Collaborate with other data platform teams to build integrations of our data tools with Airbnb's data platform’s ecosystem, like the metric infrastructure which enables metric consistency at scale, data management platform which enables data discovery and data management, data warehouse infrastructure and services, and more. Continue to hold high quality bar for our data tools, to ensure high stability and reli

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Software Engineer on the Data Platform team within the Platform group, you will help build the systems that centralize all of Coinbase's internal and third-party data. The Data Platform team makes it easy for teams across the company to access, process, and transform data for analytics, machine learning, and powering end-user experiences. You'll contribute to the full spectrum of our systems, from foundational data storage and processing to scalable pipelines, frameworks, and internal applications that make data efficiently available to every team at Coinbase. What you'll do: Own the design, development, and operation of foundational data services spanning cloud data warehouses, data lakes, orchestration (Airflow), batch processing (Spark, SQL), streaming (Kafka), query federation, and real-time event aggregation stores. Build and maintain data integration and processing SDKs used by internal services and product teams throughout Coinbase to interact with the data platform reliably at scale. Deliver self-service applications that empower users to manage, monitor, and troubleshoot their own data pipelines running on our platform infrastructure. Architect end-to-end data security and observability services, including access controls across multiple storage and access layers, data quality tracking, dataset cataloging, lineage, and usage auditing. Partner wit

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 Designs, builds, and maintains large-scale data infrastructure and data processing systems. Implements robust and scalable solutions to support data-driven applications, analytics, and business intelligence. What you will do Ensures seamless integration of data from different sources, such as databases, application programming interfaces (APIs), or streaming platforms. Optimizes data processing and query performance by fine-tuning data pipelines, database configurations, and data partitioning strategies. Establishes data quality checks and validations to identify and resolve data issues, ensuring high-quality and reliable data for downstream applications and analytics. Implements security measures to protect sensitive data throughout the data lifecycle by working closely with security teams to ensure data encryption, access controls, and compliance with data protection regulations. Collaborates with cross-functional teams, including data scientists, analysts, software engineers, and business stakeholders. Designs and develops data infrastructure, including data warehouses, data lakes, and data pipelines. Establishes auditing and monitoring mechanisms to track data access and maintain data governance standards. Establishes monitoring and alerting mechanisms

Our MDM team is seeking a Senior Engineer, to join an established engineering team. You will work on our D&B Connect application, a strategic self-service Master Data Management (MDM) platform that enables customers to cleanse, match, enrich, monitor, and manage their first-party data using D&B's Commercial Graph and D-U-N-S®-anchored data assets. This serves as our primary MDM customer-facing platform, accessed via web UI plus CRM, Marketing and Cloud Data Warehouse integrations with planned support for AI-driven headless access through MCP tools. The Senior Engineer will work in a scrum team building highly scalable distributed solutions that enable positive user experiences and measurable business growth. This role will collaborate with business and technical teams to translate business requirements and functional specifications into innovative solutions implementing performant, scalable and maintainable designs. Team Overview Design and evolve enterprise-grade Master Data Management (MDM) platforms powering core business entities (e.g., customers, suppliers, leads, reference data) Address challenges in data quality , identity resolution , integration , and governance at scale Build highly available, resilient systems that support both real-time and batch workloads across global regions Collaborate with product, data, and platform teams to transform business needs into scalable technical solutions Key Responsibility Develop scalable, distributed software systems and work on other projects that require research, awareness, interactivity and the ability to ask the right questions Design, develop, debug, support, maintain and test so

Our MDM team is seeking a Senior Engineer, to join an established engineering team. You will work on our D&B Connect application, a strategic self-service Master Data Management (MDM) platform that enables customers to cleanse, match, enrich, monitor, and manage their first-party data using D&B's Commercial Graph and D-U-N-S®-anchored data assets. This serves as our primary MDM customer-facing platform, accessed via web UI plus CRM, Marketing and Cloud Data Warehouse integrations with planned support for AI-driven headless access through MCP tools. The Senior Engineer will work in a scrum team building highly scalable distributed solutions that enable positive user experiences and measurable business growth. This role will collaborate with business and technical teams to translate business requirements and functional specifications into innovative solutions implementing performant, scalable and maintainable designs. Team Overview Design and evolve enterprise-grade Master Data Management (MDM) platforms powering core business entities (e.g., customers, suppliers, leads, reference data) Address challenges in data quality , identity resolution , integration , and governance at scale Build highly available, resilient systems that support both real-time and batch workloads across global regions Collaborate with product, data, and platform teams to transform business needs into scalable technical solutions Key Responsibilities Develop scalable, distributed software systems and work on other projects that require research, awareness, interactivity and the ability to ask the right questions Design, develop, debug, support, maintain and test

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

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Senior Staff Frontier Agents Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation Architect multi-agent systems that orchestrate between different models, tools, and data sources Implement evaluation frameworks to measure agent performance and iterate toward business objectives Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineering & Optimization Create sophisticate

We are seeking a highly skilled Staff NetSuite Engineer with deep expertise in Order-to-Cash(O2C) & Record-to-Report (R2R) processes and accounting best practices. This role will serve as the technical and functional bridge between Finance and Technology, driving automation, process optimization, and scalability within our NetSuite environment.The successful candidate will lead the design, enhancement, and support of accounting systems that power our General Ledger (GL), Record-to-Report (R2R), Accounts Payable (AP), Accounts Receivable (AR), including credit card process, Tax, and Treasury operations. As a senior member of the Finance Technology team, you will design and implement solutions that streamline accounting workflows, ensure compliance, and enhance financial reporting accuracy. We are looking to speak to candidates who are based in New York City, NY or Palo Alto, CA or remotely in the United States. Key Responsibilities System Architecture & Development Lead the design, configuration, and customization of NetSuite to support R2R and accounting processes (GL, journals, allocations, consolidations, fixed assets, intercompany eliminations) Architect scalable NetSuite solutions that integrate seamlessly with upstream and downstream systems (e.g., procurement, billing, expense management, data lake) Develop and maintain SuiteScript, SuiteFlow, SuiteTalk (Web Services), and RESTlets to support automation and integrations Process & Accounting Alignment Partner with Finance, Accounting, and Audit teams to translate accounting policies into system-enforced controls within NetSuite Act as the primary point of contact for Finance teams including Accounting, Tax, Treasury and RevOps Ensure compliance with SOX, GAAP, and audit requirements through configuration of role-based security, approvals, reconciliations, and audit trails Optimize financial close processes (journals, reconciliations, accruals, consolidations) to reduce close cycle time Build and enh