Lead complex product pipeline builds: Design and develop scalable data pipelines supporting cross-domain product launches in Payments, Credit, and Subscriptions, from scoping through delivery.
Collaborate cross-functionally: Partner with Product Analysts and Product Managers to define data requirements, while analysts continue owning pipelines alongside you.
Build product reporting infrastructure: Create reliable, performant marts and models that power product dashboards and self-service analytics.
Architect the US Data Foundation, owning the US data model from end-to-end. Make critical calls, deciding when to leverage global models and when to build new, US-specific solutions. Build robust, scalable, and high-quality data models to power US-specific products and analytics.
Monzo’s mission is to make money work for everyone, building a new kind of bank that lives on your smartphone and helps you take control of your finances.
As an Analytics Engineer, you will build the data foundation that powers key decisions across product, operations, and strategy. You will take ownership of our data stack from ingestion through modeling in dbt to build efficient, robust data pipelines. You’ll collaborate daily with Analysts, Data Scientists, and Machine Learning Engineers, as well as stakeholders from Product and Engineering.
Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice, and patients accessing high-quality care.
Provide flexible, trustworthy data models by transforming data from multiple sources with DBT, testing for quality, deploying to visualization tools and publishing documentation.
Collaborate directly with stakeholders to define problems and determine requirements for a solution. Set and maintain best practices for data models and processes.
Proactively identify gaps or design flaws in our data models, and bring recommendations for how to fix them. Own documentation of our tools and data.
Articulate Global, LLC, is a SaaS provider of creator platforms for online workplace training. They have more than 118,000 customers in 170 countries and counts all 100 of the Fortune 100 companies as customers. They are named one of Inc. Magazine’s Best Workplaces 2022 and a leader in building a human-centered organization.
Design and maintain high-quality data models that transform raw data into analytics-ready datasets.
Model Shopify data including customers, orders, products, and transactional objects for business reporting.
Build and optimize SQL transformations to support reporting, dashboards, and downstream analytics needs.
EX Squared is a global digital solutions company powered by engineering, analytics, and innovation. The LATAM team works with leading clients on high-visibility projects where data quality and modeling make a real business impact.
As a Solution Engineer, you will meet with data partners, assess requirements, and recommend pipeline improvements to manage data export and delivery in an efficient, scalable process. You will be part of a small, cross-functional team that includes other engineers, a product manager, data scientists, and others. Success requires the ability to take on ambiguous, complex problems and promote innovative solutions to address immediate needs and support future growth.
Fetch is a rewards app that empowers consumers to live rewarded throughout their day and has delivered more than $1 billion in rewards and earned over 5 million five-star reviews.
Design, build, and scale performant data pipelines and infrastructure, primarily using ClickHouse, Python, and dbt.
Build systems that handle large-scale streaming and batch data, with a strong emphasis on correctness and operational stability.
Own the end-to-end lifecycle of data pipelines, from raw ingestion to clean, well-defined datasets consumed by downstream teams.
Nansen is a leading blockchain analytics platform that empowers investors and professionals with real-time, actionable insights derived from on-chain data. We’re building the world’s best blockchain analytics platform, and data is at the heart of everything we do.
The Senior Data Analytics Engineer designs, implements, and optimizes data analytics infrastructure. The role requires both technical expertise and strong analytical skills. The engineer develops and maintains data models, dashboards, and reports to support business analytics and decision-making.
Uniswap Labs builds products that help millions of people access DeFi simply and securely ‒ from the Uniswap Web App and Wallet to crypto infrastructure.
Architect, design, and lead the implementation of highly complex, scalable, and resilient data solutions in the cloud.
Quickly build subject matter expertise in a specific business area and data domain.
Support defining and executing the overarching strategy for the analytics engineering function.
Huntress is a fully remote, global team of passionate experts and ethical badasses on a mission to break down the barriers to cybersecurity. Founded in 2015 by former NSA cyber operators, Huntress protects all businesses with enterprise-grade, fully owned, and managed cybersecurity products.
Looking for young talent ready to go all in. Offering significant equity to people who want to build something that matters. Define the future of AI in influencer marketing.
Influur is redefining how advertising works through creators, data, and AI, aiming to make influencer marketing as measurable, predictable, and scalable as paid ads.
Own end-to-end analytics workflow, including defining success and creating dashboards. Lead cross-functional weekly metric reviews. Proactively explore data and find opportunities to improve user engagement and growth.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
Build and own the data foundation, ensuring models are performant, well-tested, and documented; design and maintain the Snowflake data warehouse and ingestion processes; and use modern data modeling best practices to create core entities and datasets. Implement testing and observability for analytics pipelines. Act as data liaison between Engineering, GTM, and Finance ensuring consistent metric definitions and proper system instrumentation.
Luxury Presence is the leading digital platform revolutionizing the real estate industry for agents, teams, and brokerages.
Design, build, and scale high-performance data pipelines and infrastructure using technologies such as ClickHouse, Python, and dbt
Own the full lifecycle of data pipelines, from raw ingestion through transformation to clean, well-defined datasets
Collaborate with downstream data consumers to define clear dataset contracts, schemas, and usage patterns
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly. They identify the top-fitting candidates and share this shortlist directly with the hiring company.
Design, implement, and maintain scalable ETL/ELT pipelines using Python, SQL, and modern orchestration frameworks. Build and optimize data models and schemas for cloud warehouses and relational databases, supporting AI and analytics workflows. Lead large-scale data initiatives from planning through execution, ensuring performance, cost efficiency, and reliability.
This position is posted by Jobgether on behalf of a partner company.
Lead efforts to improve and scale our promotion architecture, optimize data infrastructure, enhance analytical models, and enable data-driven decision-making across the organization. Manage the partnership with our Product and Engineering teams to support works across some of Wealthsimple’s highest priority efforts. Build robust, efficient, and integrated data models in cloud data warehouse that will be used as the source of truth for analytics across the Investing product organization.
Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money.
Responsible for the collection, extraction, transformation, and correlation of business data across the Subsplash platform.
Administer and tune data systems to optimize for performance.
Work with data warehousing/data lake environments to provide data marts for business analysis and intelligence.
Subsplash is an award-winning team that builds The Ultimate Engagement Platform™ for churches, Christian ministries, non-profits, and businesses around the world.