Senior Data Engineering Technical Lead Jobs

Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain. We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise — we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions. As Artefact continues to grow globally, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption. The Role Artefact is looking for a Senior AI & Agentic Engineer: a full-stack engineer who takes AI features from idea to production. You will design and build the interfaces, services, and agentic systems at the heart of our client work, such as conversational applications over enterprise data, multi-step agents that automate business workflows, and the retrieval and data pipelines that support them. You will own your components end to end: the React front end, the Python or Node service behind it, the RAG pipeline feeding it, and the evaluations proving it works. This role combines breadth and depth: the ability to take a feature from front end to cloud deployment, together with strong expertise in at least one major AI platform — Google (Gemini), Anthropic (Claude), or OpenAI. You will work with direct client exposure, and you will support the professional development of the junior engineers around you. What You'll Do Build Full-Stack AI Applications, End to End You will build AI products across the entire stack, from interface to infrastructure. Develop user-facing interfaces in TypeScript/React and the backend services and APIs behind them in Python or Node. Implement a

Senior Analytics Engineer The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call . As a Senior Analytical Engineer, you sit at the intersection of Data Engineering, Analytics, and Data Science, and you own the data foundations for a business domain end to end. Your mandate is to turn raw data into reliable, business-ready datasets that PMs, analysts, data scientists, and leaders actually trust and use — and to define the business logic and metric standards that make AI-powered self-serve trustworthy. You consume governed Silver tables and produce the Gold layer and semantic layer beneath Asana's most important metrics, dashboards, and Genie spaces. This role is based in our Vancouver office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements . What you’ll achieve Own the Gold layer for a given business domain (e.g., PLG funnel, marketing attribution, revenue, NPI/AWM): Design and continuously improve the curated, dimensional data models that downstream dashboards, Genie spaces, and ELT reporting depend on. Implement the canonical business logic behind your domain's core KPIs: Translate KPIs into governed, versioned metric marts that resolve "this number doesn't match" disputes for good. Build and curate the semantic layer and Genie spaces that power self-serve in your domain: Author the metadata, documentation, and prompt/metric definitions that let stakeholders query governed data in plain language through Claude and Databricks Genie. Own the metric dictionary for your domain: a single source of truth for what each metric means,

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. Cortex Code is Snowflake’s coding agent for building with data. It ships inside the platform that thousands of the world’s largest enterprises — including a large share of the Forbes Global 2000 — run their data on, which means the quality of this agent is felt by the data teams behind a meaningful slice of the global economy. We are taking coding agents from impressive demos to tools Data Science and Engineering teams depend on every day, and we hold them to a rigorous, public bar: see our data engineering agent benchmark . About the Role This is a measurement-first role that owns the quality and efficiency of Cortex Code end to end: how good the agent is, how much it costs to run, and how reliably it behaves in production. You will take agents from research capability to real, measurable user value — turning fuzzy “the agent feels worse” signals into hard metrics, running the experiments that move them, and shipping the changes that stick. You will work on a small, high-powered modeling and infrastructure team where your work reaches every developer building on Snowflake. What you will do in this role Take agents from prototype to production: design and refine agent behaviors for real coding and data-engineering workflows, and make them reliable enough to depend on. Own a

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. Snowflake Notebooks is a development interface in Snowsight that offers an interactive, cell-based programming environment for Python and SQL. In Snowflake Notebooks, you can perform exploratory data analysis, develop machine learning models, and perform other data science and data engineering tasks all in one place. To learn more about the capabilities of the Notebook products please visit https://www.snowflake.com/en/data-cloud/notebooks/ AS A SENIOR SOFTWARE ENGINEER FOR SNOWFLAKE NOTEBOOKS, YOU WILL: Drive high impact initiatives that span our product areas and tech stack including: React, Typescript, JavaScript , NodeJS and java Promote strong collaboration within a cross functional team, including design, product management. Deliver features requiring close coordination with several sister teams such as MLE, Container Services, Monetization and Snowpark Services Be a strong contributor to the product vision and drive team planning. Build for scale and high performance. OUR IDEAL CANDIDATE WILL HAVE: 7+ years hands-on software development experience, including significant experience in Frontend or full stack software development Deep understanding of modern web applications design architecture, good API design patterns, security, performance and scale. Knowledge of dat

Fospha is dedicated to building the world's most powerful measurement solution for online retail. For over a decade, we've helped teams make smarter decisions with full-funnel marketing insights, forecasting, and optimisation. With Fospha, every team moves faster and grows smarter. Trusted by leading brands across three continents, including Gymshark , Huel and Oh Polly, Fospha manages $4 billion in annual ad spend. We're scaling fast across London, Mumbai, and Austin – and we're now looking for a Senior Software Engineer to join our Team! The Role As a Senior Software Engineer, you'll build the products our customers rely on every day to make multi-million dollar media decisions. You'll work across the full stack - from crafting responsive, intuitive frontend experiences through to designing and scaling the backend microservices that power them - and, given the seniority of this role, you'll also help shape system design and infrastructure decisions as we scale. You'll work alongside engineers, product managers, and AI agents as part of our AI-first operating model, where lean, high-autonomy teams ship fast and learn faster. This is a hands-on engineering role for someone who's comfortable owning a feature end-to-end - from initial design through to production - and who wants to grow their craft in a fast-moving, ambitious environment. Where you'll focus • Frontend development using modern JavaScript frameworks (React.js or Next.js) • Backend development using Python-based microservices • System design and infrastructure, contributing to architectural decisions as we scale • End-to-end feature ownership across the stack • (Nice-to-have) Exposure to Data Science / Data Engineering workflows Key Responsibilities • Design, build, and maintain full stack features - from frontend UI/UX through to backend services and APIs in Python. • Contribute to system design and infrastructure decisions, helping evolve our

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Intermediate Fullstack Engineer - Data Products An overview of this role Data Products integrates GitLab and third-party software development lifecycle data, and builds the dashboards, APIs, and data products that turn it into reliable, interoperable intelligence for customers and internal teams. You'll work across the stack, contributing to frontend experiences, backend services, APIs, and AI-enabled workflows. This is a hands-on product engineering role. You'll develop features, learn how we build and operate large-scale data systems, and work closely with Senior and Staff Engineers to deliver secure, reliable, and performant s

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 . We're hiring an Analytics Engineer to join the Compliance Technology team within the Platform organization. This team builds and operates data and detection capabilities that enable Coinbase to meet global BSA/AML and related regulatory obligations at scale, partnering with Compliance, Product, and Engineering to ensure monitoring and investigative controls are effective, measurable, and auditable. You'll build and own end-to-end data pipelines that power compliance detection and decisioning, improving signal quality, defining control performance measurement, and creating scalable tooling that makes compliance data easier to trust and use. What you'll do: Build and maintain curated datasets and data models (e.g., case, alert, entity, transaction, and risk features) that power compliance controls across Transaction Monitoring, EDD/KYC, and Screening systems. Own data quality for compliance datasets by implementing validation checks, monitoring, lineage tracking, and documentation to ensure outputs are accurate, complete, and audit-ready. Partner with cross-functional engineering teams and Compliance stakeholders to close upstream data gaps, standardize instrumentation, and translate control requirements into scalable data structures and feature sets. Drive detection signal quality improvements by analyzing detection outputs, identifying opportunities to reduce non-act

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 . We're hiring an Analytics Engineer to join the GFCO Analytics Engineering team and build the data foundations that power customer experience and compliance operations at Coinbase. You'll own end-to-end data pipelines, develop trusted metrics, and enable CX stakeholders to make faster, better decisions with clean, reliable data. This is a high-impact role where you'll directly influence how we serve and protect our customers while scaling our analytics capabilities. What you'll do: Own the design, build, and maintenance of data models and pipelines that support CX operations, compliance reporting, and customer insights, ensuring data is accurate, timely, and well-documented. Partner with CX Operations, Compliance, and Product teams to translate business needs into data requirements and deliver self-serve analytics solutions that reduce manual effort. Build and maintain dashboards, metrics, and reporting tools that give CX leaders visibility into performance, customer trends, and compliance health. Drive data quality and governance within the CX data domain by implementing testing, monitoring, and documentation standards that ensure stakeholder trust in the data. Identify opportunities to automate recurring data workflows and reporting processes, shifting the team from reactive requests toward scalable, self-serve solutions. Collaborate with broader Data Engineering an

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: We are seeking a highly skilled backend-focused Senior Software Engineer to join our modernization team focused on transforming the legacy CVS pharmacy systems into a cutting-edge, cloud-native platform. As part of the team, you will play a crucial role in designing and developing microservices that drive the modernization of critical patient and drug domains. You will work on integrating cloud-native solutions, enhancing performance, and ensuring seamless operation within a highly scalable and secure environment. The ideal candidate will have extensive experience in backend development, system design, and a strong understanding of cloud-native software engineering principles. Responsibilities: · Design, build, and maintain scalable data pipelines to support analytics, ML, and operational reporting · Develop robust data ingestion, transformation, and integration workflows using Python, SQL, and modern data engineering frameworks · Build and maintain batch and streaming data pipelines leveraging technologies such as Kafka (or similar pub/sub tools) · Work with Google Cloud Platform (GCP) services, including Cloud Storage, Dataflow, Pub/Sub, BigQuery, Cloud Spanner and Cloud Functions · Develop and manage data APIs and interfaces (REST and GraphQL) to enable high-performance data access across microservices · Implement CI/CD automation fo

GTM Operations & Strategy at MongoDB is a global team of builders and innovators focused on unleashing MongoDB’s sales greatness by pairing world‑class analytics with scalable operations. Within GTM Operations, the GTM Intelligence – Applied Science team turns complex GTM data into tools, models, and insights that help our sales organization make better, faster decisions across our people, segmentation, territory design, forecasting, and account prioritization. As a Senior Analyst on the Applied Science team, you will own high‑impact analytical workstreams end‑to‑end: from problem framing with senior GTM stakeholders, to data engineering and model design, through to productionalized workflows, dashboards, and executive‑ready narratives that drive concrete changes in the field. This role is based in Dublin, Ireland and supports a global stakeholder set across regions and GTM functions. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. What You’ll Do Translate GTM questions into analytical projects Partner with GTM Ops, Sales Strategy & Planning, Sales Leadership, and Central Analytics to scope problems, define success criteria, and prioritize work across areas like segmentation, territory design, account prioritization, and pipeline/forecast health. Structure ambiguous questions into hypotheses, analytical plans, and clear recommendations for senior stakeholders (SVPs, RVPs, functional leaders). Design and build scalable analytics & models Develop and maintain statistical and machine learning models (e.g., NARR prediction, deal qualification, account momentum, workload identification) that inform forecast expectations, territory assignments, and deal prioritization. Engineer robust data pipelines and features (SQL/Python) on top of our GTM data stack (Salesforce, product usage, call transcripts, marketing signals, etc.) in partnership with data and platform teams. Own core GTM analytics assets Contribute t

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 We are hiring a Senior Full Stack Software Development Engineer with strong React and Python (with .NET as a nice-to-have) experience to join our Data Engineering team. You will serve as a key senior contributor, driving the end-to-end development of a new, critical internal self-service application. Your work on this software solution will be instrumental in our initiative to modernize how data is accessed and managed, enabling teams across the company to more easily work with their own data through the user-friendly tools you build. This project involves a shift from traditional data handling processes, with your primary focus being on creating a robust application that empowers this new approach to data accessibility and decentralized ownership. About this Role: This is a high-impact, high-autonomy role suited for a detail-oriented and collaborative individual who thrives on ownership, knows how to apply best practices, and can independently design, build, and maintain production-grade software. While you'll be leveraging your core software engineering expertise, you'll also be at the forefront of our data modernization, gaining deep insights into modern data architectures and practices by building the tools that enable them. You will have access to AI tooling to assist in all aspects of the SDLC. Y

About Us Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere. Our Values Data driven: Start with truth, measure what matters. Courageous: Bias to action; run toward hard problems. Innovative: Seek novel, elegant solutions. Lean: Do more with less. Build, ship, learn fast. Humble: Strong opinions, lightly held. About the Role The future of analytics isn't dashboards. It's intelligent systems that anticipate questions, surface insights, and help people make better decisions. We're looking for a Senior Analytics Engineer to help build that future at Pearl. In this role, you'll design and develop AI-powered analytics experiences that combine trusted enterprise data with modern AI capabilities, enabling business users to interact with data conversationally and uncover insights faster than ever before. You'll build production AI agents, create scalable semantic data models, develop intelligent analytics applications, and establish best practices for responsible AI across the Analytics organization. Working closely with Product, Engineering, and business leaders, you'll turn emerging AI technologies into real business capabilities that improve decision making across the company. This is an opportunity to help define how AI transforms analytics at Pearl while working on some of the most exciting technologies in data, LLMs, and agentic AI. What You’ll Do Build proactive analytics and AI solutions that surface actionable business insights, anticipate business needs, and enable smarter decision-making. Design and develop AI-powered analytics tools, including conversational interfaces that allow business users to query data using natural language. Build semantic data models and reusab

About the Team The New Verticals Finance & Strategy team supports DoorDash’s expansion into categories beyond restaurants, which is a critical growth driver for the overall company. We enable our businesses to grow faster while becoming more profitable. We do this by creating quarterly and annual plans, holding our stakeholders accountable to goals, and providing strategic insights on our business to understand past trends and identify the best path forward. About the Role We're hiring a Senior Associate to help lead the day-to-day financial reporting and closing processes for our New Verticals business. In this role, you'll own recurring reporting cycles, including monthly close, weekly business reviews, and cross-team planning processes, partnering closely with Accounting, Data Engineering, and business teams to keep our financial reporting accurate and on time every cycle. This is a highly detail-oriented, execution-focused role: you'll spend most of your time working directly in the numbers, with real opportunities to build automation and process improvements along the way. You will report into a Manager on our New Verticals Finance team in our Finance & Strategy organization. You’re excited about this opportunity because you will… Own the monthly close and weekly reporting process for New Verticals, ensuring our financial data ties out accurately and on time every cycle. Build and maintain financial models and reporting tools that the broader Finance team relies on every week. Partner with Accounting, Data Engineering , and cross-functional business teams to investigate and resolve reporting discrepancies before they affect business decisions. Help modernize recurring reporting processes, including opportunities to use AI-powered tools to increase efficiency. Play a foundational role on a growing team, with room to take on more scope as you build expertise in the business. We’re excited about you because… You have 4+ years of experience in FP&A, cor

About the Team OpenAI’s Agentic Data Science team helps shape how AI agents are built, deployed, and improved across our products. We partner with product, engineering, research, and security teams to define meaningful measures of success, understand how our systems behave in the real world, and translate evidence into better decisions. As AI agents become more capable, they can write and execute code, access sensitive systems, and complete increasingly complex tasks with greater autonomy. These capabilities create powerful opportunities to improve cybersecurity, but they also introduce risks that traditional security tools and processes were not designed to address. Meeting this moment requires new ways to measure security, evaluate defenses, and distinguish genuine risk reduction from friction that slows users down. About the Role We are looking for a senior data scientist to help define what effective cybersecurity looks like in the age of AI agents. You will work across OpenAI’s Security organization and cybersecurity product teams to measure emerging risks, improve internal security controls, and shape AI-powered security products. The problems are foundational: How do we know whether an agent’s security controls are effective? Which safeguards meaningfully reduce risk, and which create unnecessary friction? When an AI system identifies a potential vulnerability, how do we determine whether the finding is accurate, actionable, and ultimately resolved? How do we detect anomalous behavior or risky access when the systems themselves are changing rapidly? You will report into Data Science while partnering closely with Security, Cyber Product, Engineering, and Research. This is a high-ownership role for someone who can establish a new analytical discipline, operate across organizational boundaries, and turn ambiguous security challenges into measurable improvements. In This Role You Will Define how we measure AI-agent security. Establish metrics and evaluation frame

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. *]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-WEB:8051fca6-7b94-45c4-923b-008b22f4240c-0" data-turn-id-container="request-WEB:8051fca6-7b94-45c4-923b-008b22f4240c-0" data-testid="conversation-turn-2" data-scroll-anchor="false" data-turn="assistant"> The Role: We are looking for a Senior Business Operations Analyst to join our growing Collections Center of Excellence (CCoE) team. This role is a key part of the Business Planning & Analytics (BP&A) organization and will focus on developing data-driven insights, reporting, and operational strategies that improve efficiency and performance across the Collections lifecycle while enhancing the member experience. The ideal candidate is highly analytical, collaborative, and strategic, with strong experience in SQL, Tableau, and operational analytics. This person will partner closely with Operations, Technology, Data Engineering, and leadership teams to support decision-making, optimize processes, and drive business outcomes related to loss prevention and collections operations. This role reports directly to the BP&A MIS Manager and will serve as a senior analyst supporting