Senior Data Analytics Engineer Jobs

We’re looking for a Senior Engineering Manager who is ready to lead through ambiguity and improve how software gets built at MongoDB. This role leads teams focused on developer productivity, with an emphasis on measurable improvements to the software development lifecycle. This role can be based remotely in the United States. The Team The AXIS team (AI, X-functional tools, Insights, and Signals) sits within Developer Productivity and is responsible for overseeing the metrics and observability infrastructure of our expansive developer environment to help build a strong data-driven culture. You’ll also be a key partner in building the agentic ecosystem for AI-driven development across engineering. Candidate Profile We’re looking for an experienced leader with a passion for solving the big challenge of measuring developer productivity and providing the actionable signals that help teams improve their performance. They should be comfortable working collaboratively with other leaders and partners across our Engineering and Data teams in maximizing the use of data for insights and AI enablement. The right candidate for this role will have 4+ years of experience managing software engineers, including hiring, performance management, growth planning, and compensation; required for external candidates and preferred for internal candidates 8+ years of hands-on software engineering experience building and operating production systems; experience in developer tooling, platform engineering, observability, or data engineering is a strong plus Demonstrated the ability to lead through ambiguity, work across team boundaries, and deliver outcomes without close supervision Strong customer orientation and sound judgment in finding practical, high-leverage solutions Experience working with systems involving analytics, data pipelines, and metrics platforms Experience with AI tools development and enablement efforts Strong technical judgment, including the ability to evaluate t

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. The People Technology stack has never been more capable, the differentiator now is the expertise to unlock it. . As a Senior Workday Engineer at Lyft, you'll be the technical cornerstone of our People Technology team, owning the design, development, and delivery of the integrations, custom applications, and AI solutions that the entire People function depends on. This role uniquely combines deep, demonstrable mastery across the full Workday technology stack with an AI-native engineering approach, enabling you to build solutions that don't just automate what exists today but fundamentally raise the bar for how People Technology delivers value. We're seeking a hands-on engineer who commands the full depth of the Workday ecosystem, from Studio and Core Connectors to Extend and Prism Analytics, and brings the technical judgment to architect solutions that scale with the business. You'll be the trusted technical owner of our People Technology platforms, partnering closely with HR, Payroll, Finance, and Benefits stakeholders to translate complex requirements into scalable, maintainable solutions that truly move the needle. With AI reshaping how People Technology teams operate, your expertise will be critical in actively identifying, building, and shipping AI-powered solutions that eliminate manual work, accelerate delivery, and push our teams from tactical execution to strategic impact. In this role, you'll integrate LLMs into HR workflows, build and maintain MCP servers that expose People systems data securely to AI agents, mentor junior engineers, and set the engineering standard for a team that is redefining what enterprise People Technology looks like. If you are a candidate who has the vision of what could be, who has the ability to cultivate relationships, and has a belief in driving impact, then you

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Role Overview As a Product Yield Enhancement (PYE) Engineer, you will be part of a global cross‑functional team responsible for ramping yield of products from New Product Introduction (NPI) through high‑volume manufacturing and maturity. In this role, you will learn to perform data‑driven yield analysis and root‑cause debugging from Frontend through Backend. This role also requires performing in-depth electrical failure analysis to identify root causes of backend failures and enable fast, data-driven resolution. You will be encouraged to explore and apply AI‑assisted tools, automation, and analytics to help reduce repetitive manual work, simplify data analysis, and improve day‑to‑day engineering efficiency. With guidance from experienced engineers, you will collaborate with worldwide cross‑functional teams to develop technical depth, problem‑solving skills, and deliver high‑quality products to Micron’s customers. Key Responsibilities Perform data analysis across Frontend, Backend and Test to identify yield limiters and drive root‑cause diagnostics using advanced analytics, automation, and AI‑assisted tools Conduct electrical characterization and failure analysis using Micron in‑house bench testers and advanced fault‑isolation techniques to localize ph

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. We are hiring a Senior Solution Engineer dedicated to one of Snowflake's most strategically important financial services customers. This is a named-account role: your entire focus will be a single global financial institution across capital markets, banking, insurance, or asset management. You will own the full technical relationship, drive use case expansion across business units, and act as the go-to trusted advisor to CTO, CDO, and engineering leadership within the account. This is a senior-level, high-visibility role with global scope and direct exposure to Snowflake's leadership. AS A SENIOR SOLUTION ENGINEER AT SNOWFLAKE, YOU WILL: Own the end-to-end technical relationship for a single strategic Global Account in financial services, from discovery and technical qualification through proof of concept, technical close, and ongoing expansion Build and deliver compelling demonstrations, solution architectures, and executive presentations that connect Snowflake's platform capabilities to the specific data and AI priorities of financial services buyers Design and lead proof of concept engagements covering risk analytics, regulatory data platforms, real-time fraud detection, customer intelligence, and AI/ML workloads in FSI environments Act as a subject matter expert on fina

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity We're hiring a Senior Software Engineer to own the implementation, inventory, monitoring, and performance of every third-party integration that touches our numerous web properties: conversion pixels, trackers, first- and third-party analytics, ABM, APIs, cAPIs, cookie consent banners, and whatever the next law or vendor throws at us next quarter. This is not a migration. It is not a zero-to-one build. It's a plane flying well, and the person you're backfilling left it in good standing with thorough notes. You'll be taking over the controls, tuning the instruments, and working through a backlog of challenging and interesting projects. If you're looking for a stepping stone to something else, this isn't it. If you want to deeply nerd out on analytics, engagement, performance, and the craft of getting third-party implementations right, read on. What You'll Do About 90% of your time will be spent on third-party integrations: implementing them, inventorying them, tracking them, monitoring their uptime and the veracity of their data streams, and optimizing their performance. These integrations are helping the business get

GAQ426R192 About the Role As Senior Manager, Finance Data and AI, you will lead the team that owns the data foundations, finance semantic layer, financial reporting, and AI-enabled analytics that power Databricks' Finance and Accounting organization. You will report to the Senior Director, Finance Data, AI & Strategy, and serve as the domain and technical anchor for a team that turns financial operations into trusted, well-governed data and reporting. This individual is expected to be based in Bengaluru. This is a high-impact role at the intersection of finance and accounting domain expertise and modern BI/analytics capability. It is less about deep distributed-systems engineering, and more about deeply understanding how Finance and Accounting operate (close, reconciliations, revenue recognition, chart of accounts) and building a trusted data foundations on top of the Databricks platform and Finance DataLake that Finance and Accounting can rely on every day. What You Will Do: Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines, with built-in data validation and reconciliations, to ensure Finance and Accounting can trust the data behind every report Own and evolve the Finance semantic layer: metric definitions, business logic, and data models that ensure a single source of truth for financial reporting across Finance, Accounting, and the broader business Partner closely with Accounting during month-end and quarter-end close, providing hands-on support to ensure reporting data is accurate, timely, and reconciled, and driving timely resolution of data-related issues Build and maintain dashboards and reporting for monthly, quarterly, and executive-level reporting, translating financial data into decision-ready insight for Finance leadership and the CFO organization Identify, scope, and deliver AI use cases that materially change how Finance and Accounting work day to day, including forecasting automation, anomaly detection, and natural language

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 The Mission The Foundry is ClickUp's internal AI innovation lab — embedded inside GTM Systems and accountable for turning AI capabilities into production-grade, internally deployed products that make every GTM function faster and smarter. We build the infrastructure that powers AI-first work across Sales, Marketing, Post-Sales, and Revenue Operations. As the Senior Software Engineer on this team you will own the technical delivery of our MCP server platform, agent orchestration layer, and internal tooling — shipping production systems used daily by hundreds of ClickUp employees, and scaling your own throughput by treating AI tools as first-class engineering collaborators. What You'll Own MCP Server Platform Design, build, and operate Model Context Protocol servers that expose CRM, ticketing, analytics, and communication data to AI agents across the GTM stack Implement Okta PKCE authentication flows and RBAC policy enforcement so agents access only the data they're authorized to touch Maintain deployment infrastructure on AWS (Bedrock, Lambda, ECS, API Gateway) and contribute to GCP workloads where applicable Own observability: structured logging, distributed tracing, latency SLOs, and on-call runbooks for every production server Agent Orchestration & AI-Native Products Build and maintain multi-step autonomous agents that execute end-to-end GTM workflows — lead qualification, deal room assembly, onboarding automation, support triage, and more Architect prompt engineering frameworks, tool-call schemas, and agent evaluation harnesses that make AI behavior predictable and auditable Integrate with LLM p

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Senior Software Engineer on our Ads Platform team, you will architect and build foundational ads systems that are capable of reliably serving Roblox’s massive scale. You will drive performance improvements to our ads serving and delivery infrastructure, while expanding our systems to support a variety of new and immersive ads experiences. Your scope will span across multiple teams and require close collaboration with engineers across ML, backend, and analytics to shape the future of ads infrastructure at Roblox. This role is a great fit for you if you are proficient in managing large scale systems and data-driven applications and have a zeal for developing inspiring, easily maintainable, and reusable code. Join our highly skilled and rapidly growing team and make a significant impact at Roblox. This position will report to our Senior Engineering Manager and require you to work onsite at our HQ in San Mateo, CA Tuesdays to Thursdays. You Will: Build and ship best-in-class Ads products used by hundreds of millions of users. Develop backend services that scale to billions of products and transactions. Be a tech lead and mentor junior engineers Self-organize and take ownership of projects

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. What You’ll Do: As a Senior Software Engineer on the Creator Business team, you will help drive a healthy and ever-growing creator economy at Roblox. Our mission is to help Creators efficiently operationalize their revenue so they can invest in and grow their business. The team works on complex areas such as monetization analytics, revenue reporting, payouts, and taxes, requiring penny-perfect accuracy and zero defects. We are looking for someone who can work with product managers and data science on end-to-end requirements to develop and maintain a scalable, secure, and reliable platform for our creators to thrive. As we are responsible for a large portion of the company’s revenue, you will drive projects with high impact and visibility. You will: Develop remarkable products and systems that will delight our users Work with the product, data science, and design to help refine requirements Contribute to or drive the overall end to end system design Have the opportunity to push the boundaries of what’s next for the company Help recruit future talent for the team You Have: 3+ years of experience developing consumer-facing products Proficiency in building and scaling data pipelines Exper

HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next. Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills. People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards. About the role HackerRank's data platform is at an inflection point. We've completed a multi-year modernisation - migrating from Redshift to StarRocks + Apache Hudi - and cut export latencies from 25 seconds to under 5 seconds. The infrastructure groundwork is done. Now we're building the AI-native data layer that will power revenue-generating features like natural language querying for HackerRank for Work customers. As Lead Data Engineer, you'll be a senior individual contributor at the heart of the data organisation - owning complex platform decisions, collaborating cross-functionally with AI, product, and go-to-market teams, and shipping data-driven features that directly drive revenue. This is a greenfield opportunity to shape the next phase of data at HackerRank. What you will do Own and evolve the data platform - StarRocks (OLAP), Apache Hudi (Data Lake), Trino, Spark, and Apache Ranger - ensuring performance, reliability, and security at scale. Build the next-gen AI-optimised data layer: clean, structured datasets that power natural language querying and AI add-on features for HackerRank for Work customers. Own in-product data features - exports, insights dashboards, interview analytics, and the self-s

About the Role The Data Platform team owns the end-to-end data lifecycle at Perplexity, from ingestion through processing, storage, and serving, powering product features, analytics, experimentation, AI workloads, and the company’s data lake. The team defines the architecture for batch and streaming systems, the orchestration and observability stack, and a self-serve data platform, while thoughtfully combining platforms such as Databricks and Snowflake with open-source technologies including Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse. In this senior/staff role, you will shape architecture, set standards, and drive the long-term technical direction of Perplexity’s data ecosystem. Key Responsibilities Design and operate large-scale batch and streaming data pipelines that directly power Perplexity product features, AI training and evaluation workflows, analytics, and experimentation. Build event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time ingestion, transformation, and delivery, alongside batch frameworks for backfills, aggregations, and offline computation. Lead the architecture of data orchestration using tools like Airflow or Dagster, owning scheduling, dependency management, retries, SLAs, and end-to-end observability for critical data flows. Set and enforce guarantees for data correctness, freshness, lineage, and recoverability, designing systems that handle rapid scale growth, partial failures, and evolving schemas without disrupting AI workloads or product experiences. Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate their own pipelines with minimal friction. Improve developer experience through better abstractions, opinionated paved paths, and standards for data modeling, testing, validation, and deployment, treating the data platform as a product used by many teams. Drive architectural decision

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. About the Role As a Senior Solution Engineer at Snowflake, you are the technical trusted advisor to our customers and prospects. You bridge the gap between complex technical capabilities and business outcomes, equally comfortable whiteboarding architecture with a data engineering team and presenting ROI to a CFO. You own the technical win. Responsibilities Lead technical discovery, solution design, and proof-of-value engagements with enterprise customers across all industries Translate complex business requirements into architectures leveraging the Snowflake Data Cloud (data engineering, data science/AI/ML, data sharing, applications, and security/governance) Deliver compelling technical presentations, demos, and workshops to audiences ranging from individual contributors to C-suite executives Partner with Account Executives to drive pipeline, accelerate deals, and close business Serve as the voice of the customer back to Product and Engineering teams Build and maintain reusable assets: demo environments, reference architectures, and solution accelerators Stay current on competitive landscape, industry trends, and emerging capabilities across the data & AI ecosystem Required Qualifications 8+ years of experience spanning multiple disciplines: data engineering, analytics

The role will involve contributing to the development and enhancement of the credit risk modelling toolkit while partnering with modellers to ensure the toolkit is being used correctly and efficiently; and gather feedback to support future improvements and enhancements. This position requires strong stakeholder engagement skills, the ability to understand end-user requirements, and solid Python development experience, including contributing to large-scale Python libraries and testing frameworks. Essential Skills Strong commercial experience building and testing Python applications in a professional environment. Strong understanding of object-oriented programming and test-driven development. Solid knowledge of testing principles and best practices, including experience with pytest. Strong understanding of coding best practices and writing clean, maintainable, pythonic code. Experience identifying and addressing code smells. Familiarity with code review best practices. Practical understanding of SOLID principles and common design patterns. Good working knowledge of Git version control. Experience working in Agile development environments, ideally with continuous integration practices. Nice to Have MSc or PhD in Computer Science, Mathematics, Physics, Operational Research, Information Systems, or a related technical discipline. Exposure to credit risk analytics or related financial risk domains. Strong familiarity with the scientific Python stack, including NumPy, SciPy, pandas, polars, and Matplotlib. Experience with PySpark or other Big Data technologies. Experience contributing to open-source projects or developing reusable Python libraries. How to apply: Apply via the form below and tell us a bit about you. Complete the online assessment (we’ll send you a link by email). Complete the interviews with our friendly talent team over phone and video. Lastly, you’ll interview with one or more of our clients. So you don’t miss out on your dream job, we encourage you

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Software Engineer(React js Developer) Who is Mastercard? Mastercard is a global technology company in the payments industry. We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview: A unified internal platform that enables Mastercard teams to design, build, govern, and distribute consistent, accessible, and analytics enabled UI experiences across channels using reusable frameworks, automation, and embedded governance. Do you like to be part of a team that creates and executes strategic initiatives centered around consistent user experiences? Do you look forward to developing and engaging with

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Everpure is entering a new era of AI-driven, self-service analytics, where our users and business units are empowered to build their own dashboards and intelligent applications. In this decentralized, AI-first world, highly curated, trustworthy data becomes paramount. We are looking for a Data Engineer to help us build the foundation for this new ecosystem. You will work closely with our senior engineering team, who are invested in your growth, to design and implement scalable Snowflake data pipelines. Your primary focus will be on delivering curated data assets backed by robust metadata, transparent data lineage, and clear ownership, so our business users can confidently build the tools of tomorrow. WHAT YOU’LL DO Build the Foundation: Develop, test, and deploy robust data pipelines into Snowflake using Python (Snowpark) and Apache NiFi to support our evolving AI and analytics infrastructure. Curate & Govern: Embed metadata generation, automated data lineage tracking, and strict data ownership definitions into every pipeline to guarantee data trust for self-service dashboard creators. Transform & Model: Write clean, efficient SQL to transform raw data into curated assets. Assist in designing scalable data models (e.g., dimensional modeling) optimized for business intelligence and AI workloads. Optimize Performance: Monitor pipeline health and tune database performance. Optimize complex queries and Snowfla