Senior Data Analytics Engineer Jobs

SCM Leader - Solution Delivery & Consultative Sales Location: NY/NJ Team: BC&S Global Practice (Business Consulting & Solutions) Who are we? Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Why Join Sigmoid? Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining functional expertise, AI and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions. Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo. Vibrant inclusive culture of mutual respect and fun through both work and play. Roles and Responsibilities Capture market demand by engaging with clients and internal stakeholders to identify gaps and opportunities across Consumer Goods, Lifesciences, Industrials and other adjacent industry verticals, focussing on E2E Supply Chain, Manufacturing & Procurement Analytics areas. Act as a bridge between business and technology, ensuring solutions are aligned with client needs and technical feasibility. Lead analysis on PMF (product market fit) and support GTM of the offerings to senior buyer-leadership in Key-Accounts target customer environments. Own & drive execution of the proposed Business-Analytics Solutions Products roadmap by demonstrating techno-functional consulting & stakeholder management capabilities in collaboration with Domain Leaders, Data Science & Engineering SMEs and teams. Own end

Role - Onsite Consulting Leader - Presales & Consultative Sales, SCM Practice Location - NY/NJ Team - BC&S Global Practice (Business Consulting & Solutions) Who are we? Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Why Join Sigmoid? Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining functional expertise, AI and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions. Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo Vibrant inclusive culture of mutual respect and fun through both work and play Roles and Responsibilities: Capture market demand by engaging with clients and internal stakeholders to identify gaps and opportunities across Consumer Goods, Lifesciences, Industrials and other adjacent industry verticals - focussing on E2E Supply Chain, Manufacturing & Procurement Analytics areas Act as a bridge between business and technology, ensuring solutions are aligned with client needs and technical feasibility Lead analysis on PMF (product market fit) and support GTM of the offerings to senior buyer-leadership in Key-Accounts target customer environments Own & drive execution of the proposed Business-Analytics Solutions Products roadmap by demonstrating techno-functional consulting & stakeholder management capabilities in collaboration with Domain Leaders, Data Science &

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 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. Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in memory and storage innovation, accelerating the transformation of information into intelligence. About the Role Join Micron’s STPG Product Engineering team where you will apply advanced analytics, machine learning, and agentic AI to solve complex NAND product engineering and manufacturing challenges. This role focuses on developing data‑driven and AI‑enabled solutions that improve yield, reliability, defectivity, and test time across the NAND product lifecycle—from New Product Introduction (NPI) to High‑Volume Manufacturing (HVM). You will work closely with Product Engineering, Fab, Technology Development, Test, Quality, and System teams to deploy scalable AI solutions into real production workflows. In addition, you will play a key role in enabling and mentoring Citizen Data Scientists (CDS) within Product Engineering, strengthening the organization’s capability to apply machine learning and advanced analytics for domain‑specific problem solving. Key Responsibilities: Machine Learning & Advanced Analytics Development Develop and deploy predictive and diagnost

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About The Role Data governance is one of the most critical challenges for Mixpanel's enterprise customers, and the AI era turns it into a foundational problem. Analytics and agents are only as trustworthy as the data beneath them. Poor data quality compounds: incorrect analyses spread as it becomes easier for anyone — or any agent — to query data, and the problem multiplies as customers scale into projects with high-cardinality events and fast-growing user bases. A data foundation that stays clean, consistent, and trusted is what sets Mixpanel apart. As a Senior Software Engineer on the Data Foundation team, you'll work across the stack to build high-impact features with extreme customer focus. You'll partner closely with engineers across the company, and with Design, Product, and GTM, to solve one of the hardest problems in analytics: keeping data clean, consistent, and trustworthy at scale. Curious what this looks like in practice? Read why data governance matters for AI-powered analytics on our blog. What You'll Do Build customer-facing features on our web application (React SPA) Collaborate closely with engineers and cross-functional partners across Product, Design, GTM, and beyond Take full ownership of projects — from shaping and delivery through iteration We're Looking For Someone Who Has Full-stack experience, with deep expertise in at least one of: Web application backends (Python, Django) High-volume APIs Search indexing A track record of leading projects end to end, not just executing tickets Comfort moving across the stack Bonus Points For Experience with data ingestion (Go) A data-driv

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 Platform Observability & Analytics runs the infrastructure that tells Elastic the truth about its own platform. The observability clusters show Cloud engineers how production is behaving right now, and the analytics pipelines show the business how the platform and the products get used over time. This role sits on the observability side. We run 200+ hosted deployments across every supported cloud region, ingesting logs, metrics and traces for all of Elastic Cloud, plus the SLA and SLO monitoring for ESS and Serverless. When Cloud engineering needs to know what production is doing, they're looking at something we run. What You Will Be Doing Owning end-to-end delivery of moderate-to-high complexity projects on the team’s roadmap , with minimal day-to-day direction. Operating and hardening shared Elastic Cloud infrastructure (ECH, ECE, and ECK) as Infrastructure as Code – writing and reviewing the Terraform, Python, and Go that other engineers depend on. Carrying a 24/7 on-call rotation: responding to incidents, driving them to resolution, and writing clear RCAs/postmortems that lead to lasting fixes rather than repeat pages. Reviewing others’ code and designs, and being a trusted second set of eyes on production changes to critical infrastructure. Mentoring less experienced engineers, and proactively raising risks, ideas

Location: New York City or San Francisco - 4 days in office About the Role We are looking for a highly technical Senior Security Engineer who is passionate about protecting data across modern SaaS, cloud, endpoint, and analytics environments. This role is ideal for someone who enjoys solving complex data security challenges through engineering, automation, and AI rather than relying solely on commercial tools. You will help build, scale, and continuously evolve Sigma’s data security capabilities across SaaS applications, cloud platforms, endpoints, collaboration tools, AI systems, and data warehouses. You will be joining a dynamic and highly technical Security Engineering team at Sigma. This is a hands-on engineering role for builders, innovators, and problem-solvers who want to create scalable security solutions that protect the organization's most critical asset - data. What You'll Do Design, build, and maintain security platforms, services, APIs, automation, and internal tooling that protect Sigma's data across cloud, SaaS, endpoint, and analytics environments. Develop scalable solutions for data discovery, classification, governance, access controls, monitoring, and protection using modern engineering practices and automation. Build and mature capabilities around CASB, DLP, DSPM, SSPM, insider risk, and data access governance to reduce the risk of unauthorized access, sharing, or exposure of sensitive information. Build and maintain DLP controls and tooling across multiple cloud, OS environments and decentralized datasets, implementing and tuning prevention capabilities that protect against sophisticated data security incidents. Drive automation across DLP engineering and operations by leveraging LLMs, agentic AI, and an automation-first mindset to streamline workflows, reduce manual effort, and scale data protection coverage. Design and implement security controls across SaaS applications, collaboration platforms, endpoints, and business-critical

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. We are seeking a senior software engineer to join our new Data Intake team. Our team owns the tooling that sources and processes the training data that Roblox’s future foundation models are built on. As an engineer on the team, you’ll build out a new service that can obtain diverse datasets from a wide variety of external sources, process them into consistent formats, and store them in a reliable and easily accessible location for our models to leverage. You’ll collaborate closely with teammates across the company in data labeling and machine learning to ensure we deliver the datasets our customers need. This role offers the chance to be a founding team member and help define both the technical direction and the long-term shape of the product area from the ground up. This role is a great fit for you if you enjoy building and iterating quickly on new internal product offerings, are proficient in designing and scaling robust API integrations and data infrastructure, and have a zeal for developing inspiring, easily maintainable, and reusable code. Join our team and make a significant impact at Roblox. You Will: Architect and deliver a high-performance analytics environment that serves th

Data Engineering – Technical Lead About Us: Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners. About the Role: This position requires someone to work on complex technical projects and closely work with peers in an innovative and fast-paced environment. For this role, we require someone with a strong product design sense & specialized in Hadoop and Spark technologies. Requirements: 4 to 8 years of experience in Big Data technologies. The position Grow our analytics capabilities with faster, more reliable tools, handling petabytes of data every day. Brainstorm and create new platforms that can help in our quest to make available to cluster users in all shapes and forms, with low latency and horizontal scalability. Make changes to our diagnosing any problems across the entire technical stack. Design and develop a real-time events pipeline for Data ingestion for real-time dash- boarding.Develop complex and efficient functions to transform raw data sources into powerful, reliable components of our data lake. Design & implement new components and various emerging technologies in Hadoop Eco- System, and successful execution of various projects. Be a brand ambassador for Paytm – Stay Hungry, Stay Humble, Stay Relevant! Skills that will help you succeed in this role: Fluent with Strong hands-on experience with Hadoop, MapReduce, Hive, Spark, PySpark etc.Excellent progr

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team The Infrastructure team builds and operates the foundations that power Decagon: networking, data, ML serving, developer platform, and real‑time voice. We partner closely with product, data, and ML to deliver high‑scale, low‑latency systems with clear SLOs and great developer ergonomics. We organize around four focus areas: Core Infra: The foundational cloud stack—networking, compute, storage, security, and infrastructure‑as‑code—to ensure reliability, scale, and cost efficiency. Data Infra: Streaming/batch data platforms powering analytics/BI and customer‑facing telemetry, including for customer‑managed and on‑prem environments. ML Infra: GPU and model‑serving platforms for LLM inference with multi‑provider routing and support for on‑prem/air‑gapped deployments. Platform (DevEx): CI/CD, paved paths, and core services that make shipping fast, safe, and consistent across teams. Our mission is to deliver magical support experiences — AI agents working alongside humans to resolve issues

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for an experienced Data Engineer to support and accelerate the productivity of our Go-To Market organization. In this role, you will facilitate Smartsheet's growth strategy through insights produced with data analysis. You will work directly with senior leadership to inform strategic decision-making as part of a collaborative, motivated team. Your work will be instrumental in helping our Sales partners optimize their pipeline, increase retention, and close deals. You Will: Help to create, evolve, and maintain the reporting infrastructure for the Sales organization to promote more intelligent discussion at all stages of the sales funnel. Partner with engineering, data science, and other analytics teams to build scalable analytics solutions with a focus on reporting capabilities. Mine large datasets to ensure data accuracy and completeness for reporting purposes. Analyze and monitor data for anomalies, with a focus on data quality and consistency within reports. Guide commission and territory planning processes with analytical support, providing the necessary reports and data. Develop and maintain key performance indicators (KPIs) to track sales performance, pipeline health, and other critical metrics. Automate report generation and distribution to improve efficiency. Provide technical expertise and guidance to junior analysts on data extraction, transformatio

Who is Artefact? Artefact is a next-generation strategy and data consulting firm dedicated to transforming organisations through data and AI. We combine the rigour of top-tier strategy consulting with deep expertise in data, digital and analytics to help clients achieve tangible business impact. With 2,500+ consultants, data scientists and engineers, we work with global leaders such as Samsung, L’Oréal, Orange and Sanofi. Our Swiss offices are at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design. Main Responsibilities As a Senior Consultant in our Zurich/Lausanne office, you will work at the intersection of strategy consulting and data and AI delivery. You will: Strategy Development: Work with client leadership teams to address high-stakes questions. How can AI reshape our business model? How should we govern and organise for data? Which strategic programmes deliver the most impact? Structured Problem-Solving: Break complex challenges down into decisions a client can act on, combining consulting rigour with a working knowledge of what current AI can and cannot actually do. Solution Design: Turn a business question into a solution shape — what data it depends on, what kind of platform or product it should sit on, and what “good” looks like once it is built. You will do this alongside our data scientists and engineers. Project Delivery: Support engagements end to end, from hypothesis framing and market and competitor analysis through to data maturity assessments, client workshops, governance design and implementation roadmaps. Client Engagement: Work closely with C-level stakeholders and business unit leaders. You will build trusted relationships, communicate recommendations with clarity, and keep the work aligned to what the client is actually trying to decide. Knowledge & Practice Building: Contribute to the growth of Arte

About eClinical Solutions eClinical Solutions is transforming clinical development with elluminate®, our Clinical Data Cloud , helping life sciences organizations unify, analyze, and unlock the value of their data faster than ever before. By combining a modern cloud platform with expert data services, we empower smarter decisions across the clinical trial lifecycle—accelerating innovation that ultimately improves patient outcomes. Our engineering teams build enterprise-grade, revenue-generating products at the intersection of cloud, data, analytics, and emerging AI technologies . If you’re excited about building sophisticated software that makes a real-world impact on healthcare, this is the place to do it. You will make an impact: As a Senior Software Engineer, AI Enabled Platforms will be a member of the elluminate product development team. elluminate is a next generation data integration and analytics cloud platform that enables life sciences organizations to optimize the aggregation, standardization, and analysis of their data throughout the clinical development life cycle. You are primarily responsible for the design and development of core modules for the platform and will be involved in all phases of the software development lifecycle such as reviewing functional specifications, design, development, unit testing, code reviews and release management. This role is ideal for an experienced engineer who enjoys hands-on development , mentoring others, and bringing modern capabilities—including AI-assisted and agentic workflows—into production-grade systems . Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. Your day to day: Design, develop, test, and deploy scalable, secure, and highly interactive web applications Own and evolve core platform modules , from concept through release and support Influence application and system architecture with a focus on performance, reliabilit

About Druva Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook . The Data team within Foundation processes data at scale. It builds and operates tools that scan petabytes of data to extract insights. The team builds indices and views for semi-structured data to facilitate analytics, using both in-house and off-the-shelf tools. . The team diligently keeps track of newer services, storage tiers, and various aspects of existing AWS services to take advantage of the continuous evolution of services and use them effectively in the background. As a Sr. Software Engineer, you will be providing technical leadership to create high-quality software by owning low level , design and implementation of services within a product. This role will require excellent communication skills as you will collaborate with Product Management to refine requirements, product architects to propose design changes, and other product owners to drive features to completion with good quality. Key Skill AI first mindset to software development, having experience using genAI during various phases of software development lifecycle from design to code to test using tools like 'cursor' 5-7

About Druva Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook Profile – Senior Staff Software Engineer Druva delivers Data Protection and Management for the cloud era. Druva Cloud Platform is built on AWS and offered as-a-Service; customers drive down costs by up to 50 percent by freeing themselves from the burden of unnecessary hardware, capacity planning, and software management. Druva is trusted worldwide by over 4,000 companies at the forefront of embracing the cloud. Druva is a privately held company headquartered in Sunnyvale, California, and is funded by Sequoia Capital, Viking Global Investors, Tenaya Capital, Riverwood Capital, and Nexus Partners. Please do visit us at: https://www.linkedin.com/company/druva/mycompany/ https://www.druva.com/about/ https://www.druva.com/blog/ The Data team within Foundation processes data at scale. It builds and operates tools that scan petabytes of data to extract insights. The team builds indices and views for semi-structured data to facilitate analytics, using both in-house and off-the-shelf tools. . The team diligently keeps track of newer services, storage tiers, and various aspects of existing AWS services to take