Senior Data Warehouse And Integration Engineer Jobs

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. About the Role & Team Every AI insight, every experiment, every cohort at Amplitude starts with a query. Our in-house OLAP engine, Nova , processes trillions of events in real time — turning raw behavioral data into fast, trustworthy answers that power decisions for thousands of product teams worldwide. We're entering a world where AI agents don't just assist product teams — they ship features, run experiments, and make prioritization calls autonomously. What makes that possible is agents' ability to verify their work against real product data continuously. That makes Nova the critical infrastructure in the loop, and as non-stop agents become the main source of queries, the demand on Nova's throughput, correctness, and operational rigor grows dramatically. We're looking for a Senior Software Engineer who wants to go deep on the engine internals and the

Fanatics Commerce is the global leader in licensed sports merchandise, operating a vertically integrated platform that designs, manufactures, and delivers officially licensed apparel, jerseys, headwear, and collectibles for major leagues, teams, and events worldwide. With more than 900 e-commerce sites and a global omnichannel presence across digital, in-venue, and retail, Fanatics Commerce reaches fans in over 180 countries and powers official fan experiences for many of the world's most iconic sports properties. At Fanatics, we bring our BOLD Leadership Principles to life every day - building championship teams, obsessing over fans, acting with entrepreneurial speed, and delivering with a determined and relentless mindset. ROLE OVERVIEW The Senior Operations Manager shapes the Fanatics Commerce fan experience by serving as an athlete and fan advocate, leading multiple sub-departments within inbound or outbound distribution operations. This role is responsible for directing the efforts of Managers, Supervisors, and athletes to achieve peak performance through effective communication, mentorship, staffing strategy, and operational excellence. The Senior Operations Manager delivers business and fan impact through BOLD leadership and execution excellence, leveraging data, automation, and AI-enabled insights. HOW WILL YOU DRIVE IMPACT Success is measured by the ability to deliver results through BOLD capabilities and measurable outcomes. Team & Leadership Impact (Build Championship Teams) Cross-Functional Leadership: • Partner with Human Resources, internal operations partners, and external stakeholders to align staffing, compliance, and process standards across the distribution network. • Serve as a liaison with supervisors, team leaders, and athletes to gather information, resolve issues, and communicate company standards and policies in a consistent and proactive manner. • Mesh effectively with the existing management team by listening actively, building cohesio

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 . Senior Analytics Engineer As a Senior Analytics Engineer on the Platform team, you'll build the scalable data models and pipelines that power analytics, experimentation, and decision-making across Coinbase. Our Analytics Engineering team transforms raw data into trusted, well-modeled sources that stakeholders across Product, Engineering, and Data Science rely on daily. You'll own end-to-end data solutions for specific business domains, turning complex data flows into clean, reusable frameworks that unlock commercial value at scale. What you'll do: Own end-to-end data modeling for assigned business domains, from understanding source system data flows through designing modular, reusable models (star/snowflake schemas) that serve as the single source of truth for downstream teams. Build and optimize ETL/ELT pipelines using modern tools like dbt and Airflow, ensuring data quality, reliability, and performance at scale across Snowflake or similar warehouse architectures. Partner with Engineering, Product, and Data Science teams to identify data gaps, define requirements, and deliver data products that directly enable experimentation, ad hoc analysis, and business metric optimization. Develop scalable abstractions and frameworks (UDFs, Python packages, internal data apps) that multiply the efficiency of other data teams and reduce time-to-insight across the organization. D

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: We are seeking a Senior Director to lead our Enterprise Reporting and Analytics Engineering organization, a team of analytics engineers, report developers, visualization specialists, and people leaders. This organization focuses on the last mile of the enterprise data supply chain: the semantic models, curated data products, metric definitions, and consumption experiences that turn engineered data into decisions. This is not a traditional reporting leadership role; the classic notion of “reporting” in the form of a myriad of dashboards and filters is racing towards obsolescence. But the need for data and insights, and the need to deliver it in a way that is digestible and actionable, is timeless. Yes, governed dashboards and trusted reporting remain the foundation, and this leader must be excellent at that foundation. But the mandate is to move the organization decisively beyond static reporting toward a proactive, intelligent analytics capability: partnering with Data Science to productize and visualize their models, enabling generative AI and LLM-based access to our data, building exception-based systems that alert users when outcomes deviate from expectation in a statistically meaningful way, and designing agents that monitor data continuously an

Block builds simple, powerful tools that make progress towards an economy that’s truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. Join us. The Role The AI & DX (Developer Experience) Analytics team exists to measure and improve Block's developer experience and investment in AI. We turn raw engineering signals (agent session data, pull request and CI activity, and AI spend) into reporting and analysis that shape leadership's AI investment decisions, and drive improvement in AI ROI and developer experience. Your work will be the trusted source of truth that engineers and executives use to decide where AI investment is working and where to redirect it. We're hiring a Senior Analytics Engineer to own parts of that pipeline end to end. This is a broad, high-visibility role with a lot of white space: you will instrument new telemetry at the source and build production pipelines that turn it into governed data, then turn that governed data into executive-facing reporting and the analysis that surfaces concrete opportunities to improve AI ROI and developer experience. You'll also help pioneer one of the most consequential open problems in the industry right now: measuring the productivity impact of an increasingly AI- and agent-augmented engineering workforce, where there is no textbook answer and real room to set the standard. You'll define new metrics and craft the visual narrative — the charts, dashboards, and presentation materials — that make them land with a

Block builds simple, powerful tools that make progress towards an economy that’s truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. Join us. The Role The AI & DX (Developer Experience) Analytics team exists to measure and improve Block's developer experience and investment in AI. We turn raw engineering signals (agent session data, pull request and CI activity, and AI spend) into reporting and analysis that shape leadership's AI investment decisions, and drive improvement in AI ROI and developer experience. Your work will be the trusted source of truth that engineers and executives use to decide where AI investment is working and where to redirect it. We're hiring a Senior Analytics Engineer to own parts of that pipeline end to end. This is a broad, high-visibility role with a lot of white space: you will instrument new telemetry at the source and build production pipelines that turn it into governed data, then turn that governed data into executive-facing reporting and the analysis that surfaces concrete opportunities to improve AI ROI and developer experience. You'll also help pioneer one of the most consequential open problems in the industry right now: measuring the productivity impact of an increasingly AI- and agent-augmented engineering workforce, where there is no textbook answer and real room to set the standard. You'll define new metrics and craft the visual narrative — the charts, dashboards, and presentation materials — that make them land with a

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. What You’ll Do Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features Tackle novel UX problems at the intersection of AI, BI, and apps What You Bring Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required) 10+ years of experience building and deploying production-grade AI/ML systems Deep knowledge of machine learning, deep learning, and applied AI Experience across the full ML lifecycle: data curation, training, deployment, monitoring A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex Experience adapting or training foundation models (language or multimodal) for novel domains Bonus Points (or skills you’ll build here) You've built agents that can plan, reason, and use tools You know your way around cloud infrastructure (AWS, GCP, Azure) You’ve worked in a fast-moving startup or high-growth environment Additional Job details The base salary range for this posit

NMI is looking for a Senior Product Owner to drive tactical delivery across our Billing and Data platform teams. This role sits within the Engineering organization, reporting directly to the Director of Software Engineering, and carries ownership across two interconnected domains: Billing, which manages five distinct billing platforms, and Data, which owns ingestion and transformation pipelines built on GCP and BigQuery. The team is distributed across Eastern Europe, LATAM and the US; this role works Eastern or Central time hours. As a Senior PO at NMI, you are the subject matter expert for every feature your team builds. You do not hand off context to others, you carry it. You are present in the details: writing sharp user stories, validating acceptance criteria, conducting UAT, and ensuring releases meet the bar. You are the go-to person for your engineering team, your product manager, and your stakeholders when questions arise about how the platforms work, what is in flight, and what is coming next. This is a hands-on delivery role: the Product Manager owns strategy and roadmap; the Senior PO owns execution, stories, UAT and releases. We do not expect deep expertise in both domains on day one. We expect deep expertise in one and a track record of becoming credible in the other. Growth from this role is toward Staff PO, with broader value-stream ownership, not away from delivery. AI is part of how this role works, not an add-on: we expect you to use AI tools heavily and daily to reach a first version of almost everything faster, while the judgment stays with you. You validate what AI produces, and you are accountable for it. About NMI NMI, a global leader in payment technologies, allows software and sales professionals to deliver payment innovations to their clients without having to build payment expertise in house. NMI enables our partners with choice, and challenges the one-size-fits-all approach to payments. You've probably used NMI in the last 24 hours withou

NMI is looking for a Senior Product Owner to drive tactical delivery across our Billing and Data platform teams. This role sits within the Engineering organization, reporting directly to the Director of Software Engineering, and carries ownership across two interconnected domains: Billing, which manages five distinct billing platforms, and Data, which owns ingestion and transformation pipelines built on GCP and BigQuery. The team is distributed across Eastern Europe, LATAM and North America; this role works Eastern or Central time hours. As a Senior PO at NMI, you are the subject matter expert for every feature your team builds. You do not hand off context to others, you carry it. You are present in the details: writing sharp user stories, validating acceptance criteria, conducting UAT, and ensuring releases meet the bar. You are the go-to person for your engineering team, your product manager, and your stakeholders when questions arise about how the platforms work, what is in flight, and what is coming next. This is a hands-on delivery role: the Product Manager owns strategy and roadmap; the Senior PO owns execution, stories, UAT and releases. We do not expect deep expertise in both domains on day one. We expect deep expertise in one and a track record of becoming credible in the other. Growth from this role is toward Staff PO, with broader value-stream ownership, not away from delivery. AI is part of how this role works, not an add-on: we expect you to use AI tools heavily and daily to reach a first version of almost everything faster, while the judgment stays with you. You validate what AI produces, and you are accountable for it. About NMI NMI, a global leader in payment technologies, allows software and sales professionals to deliver payment innovations to their clients without having to build payment expertise in house. NMI enables our partners with choice, and challenges the one-size-fits-all approach to payments. You've probably used NMI in the last 24 hours

About the Role Natera is a global leader in cell-free DNA testing, serving patients across oncology, women’s health, and organ health. Our Data & AI organization builds the enterprise data platform and AI systems that turn clinical, genomic, and operational data into products that improve patient care and accelerate the business. We are looking for a Data & AI Engineering Tech Lead to set the technical direction for a solutions team that builds analytics and AI solutions directly for business stakeholders: data and AI pipelines, data models, semantic layers, and the agents, dashboards, and data products that sit on top of them. This is a hands-on, senior individual contributor role: you will write production code, own architecture and design decisions for the solutions your team delivers, and raise the engineering bar through design leadership, code review, and mentorship. This team is AI-native by design. We expect engineers to use AI coding harnesses and agentic tooling as a core part of how they build, test, document, and operate solutions, and we expect the Tech Lead to model and scale those practices across the team. You will work in a regulated environment where data quality, lineage, and privacy are core requirements of every solution we ship. The ideal candidate is a strong engineer first, with a product mindset toward business outcomes, the judgment to make pragmatic architectural tradeoffs, and the communication skills to align engineers, product managers, and business stakeholders around them. Key Responsibilities Technical Leadership & Architecture Own the technical design and architecture for the analytics and AI solutions your team delivers; drive design reviews and make build-vs-buy and technology decisions in partnership with the data platform and architecture teams. Translate business stakeholder needs into well-scoped technical designs, breaking down complex analytics initiatives into deliverable milestones for the team. Establish and e

About Formation Bio Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others. You can read more at the following links: Our Vision for AI in Pharma Our Current Drug Portfolio Our Technology & Platform At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently. About the Position Clinical trials are where drug development actually gets slow and expensive. Sites take months to activate. Data arrives late, in fragments, from a dozen systems and vendors that don't talk to each other. People spend their weeks reconciling spreadsheets instead of making decisions. The Trial Execution team exists to fix that, and this role is a senior seat on it. The constraint that makes this interesting: our trials run in a regulated space. Systems that touch patient safety or trial integrity are GxP-relevant, which means computer system validat

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview We’re looking for a versatile Senior Analytics Engineer focusing on Product to architect event data models that power decision-making at Harvey. With product-market fit already proven and demand surging across diverse customer segments, you’ll design clean, reliable pipelines and semantic data models that turn raw events into usable insights. As an Analytics Engineer on our team, you’ll help evolve our data stack, champion best practices in testing and documentation, and collaborate closely with product, GTM, and leadership to ensure every team can answer its own questions with confidence. If you combine engineering rigor with a love of storytelling through data we’d love to meet you. What You'll Do Design and build scalable data models and pipelines using dbt to trans

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview We’re looking for a versatile Senior Analytics Engineer to partner closely with our Finance team in building the financial data foundation that drives decision-making at Harvey. With product-market fit already proven and demand surging across diverse customer segments, you’ll design clean, reliable pipelines and semantic data models that turn source data into usable insights. As an Analytics Engineer on our team, you’ll help evolve our data stack, champion best practices in testing and documentation, and collaborate closely with product, finance, and leadership to ensure every team can answer its own questions with confidence. If you combine engineering rigor with a love of storytelling through data we’d love to meet you. What You'll Do Design and build scalable data m

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. What You'll Do Design and implement technical solutions that keep the internal Verkada engine running Build and deliver improvements to systems that allow Verkada to seamlessly transact and ship all around the world Improve systems observability and invest in reliability & correctness of data Develop customer empathy to propose improvements to systems Lead projects from ideation to release Help and mentor junior engineers What You Bring 5+ years of software engineering with a focus on distributed systems at scale Shipped customer facing products or internal tools in the past Flexible and adaptive in a fast-paced startup environment Passion for observability and reliability In-depth expertise in distributed systems and data processing AWS Cloud experience touching foundational blocks like: Kubernetes, Fargate, Lambda, Airflow, Athena, DynamoDB,

Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Senior Strategy & Supply Chain Associate is responsible for proactively assisting in the development of sourcing strategies that are aligned with business and program needs and then driving execution of those strategies while ensuring quality, delivery, and cost targets are exceeding expectations. Duties and Responsibilities Strategic Problem-Solving: Apply a structured, hypothesis-driven approach to diagnose complex supply chain challenges, identify root causes, and develop data-backed solutions. Data Analysis and Modeling: Conduct quantitative analysis using large datasets from our ERP and supply chain data. Develop and maintain analytical models to optimize key supply chain metrics such as inventory levels, lead times, and product economics. Process Optimization and Redesign: Lead high-impact projects to re-engineer core supply chain processes, leveraging best practices to drive significant improvements in efficiency, cost, and resilience. Cross-Functional Collaboration: Serve as a trusted advisor to internal stakeholders in Engineering, Finance, and Operations. Effectively communicate complex analyses and recommendations to senior leadership, fostering alignment and driving execution. Performance Management: Design, implement, and monitor key performance indicators (KPIs) and dashboards to track supply chain health and project performance. Provide regular, insightful reports to management on progress against strategic objectives. Supplier and Sourcing Strategy: Collaborate with the Procurement team to analyze supplier capabilities, assess market dynamics, and develop commodity and category strategies that align with bot