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Build and maintain scalable data models using dbt and SQL on GCP to power financial reporting and analytics for a global brokerage infrastructure company.
Build and own the data platform for a proptech startup: design a semantic layer, govern metrics, and enable self-serve analytics so Finance, Growth and Ops can trust their KPIs and AI agents can query safely.
Builds and maintains Kestra’s full-stack orchestration platform, integrating data tools like dbt and Snowflake, using Java/Micronaut backend and Vue 3/TypeScript frontend.
Owns Kestra’s data orchestration product, defining features for data pipelines, integrations with dbt/Airbyte/Snowflake, and migrations from Airflow—releasing value quickly without heavy process.
Build and maintain data pipelines, models, and segments for National Geographic’s subscription business, using SQL, Python, and cloud warehouses to drive marketing and personalization.
Manage data science projects and ensure alignment with business goals. Ensure adherence to data science policies and procedures. Provide strategic guidance on data science practices. Lead a team of data scientists. Job…
Designs and leads the MarTech stack for StreetEasy, integrating Iterable, Hightouch, SparkPost, and HubSpot with CRM and data platforms to automate lifecycle marketing and reporting.
Own Passage's data platform: model business metrics in dbt on BigQuery, run Airflow pipelines, and serve trustworthy data to leadership, marketing, and ops via Metabase and Hasura GraphQL.
Build and own a scalable data platform using AWS, Databricks, dbt, and Python to power reliable analytics and business decisions.
Build and maintain a scalable data platform using Databricks, AWS, dbt, and Python to power analytics and business decisions for a nutrition-products company.
Senior engineer who implements Maven AGI’s AI support platform at enterprise customers, building integrations, configuring systems, and launching production workflows using JavaScript/TypeScript, Node.js, APIs, and the Maven SDK.
About Euka Euka Future Learning is Australia's leading home education platform, delivering K-12 curriculum to thousands of families across the country. Our engineering team builds the systems that power enrolments,…
Build and govern Port’s semantic layer and AI-native data stack, enabling business users to query metrics and run agents conversationally while scaling Snowflake, dbt, and Cortex infrastructure.
Build and maintain AI agent toolkits that let models securely take real actions in enterprise systems, integrating vendor APIs and shaping tool descriptions for reliable agent use.
Senior Data Engineer builds and maintains scalable data pipelines in Snowflake and Python to feed analytics and reporting for a UK travel platform.
Lead a data governance program for Canonical’s internal data mesh, defining policies and building Python tooling to automate data labeling, quality metrics, and access controls using open-source tools like Trino and Ranger.
Builds and maintains Python-based automation for SaaS seat management and data-mesh integrations using open-source ETL tools, ensuring scalable, secure, and high-quality enterprise systems.
Build and maintain scalable data pipelines and analytics infrastructure for clinical trial platforms using Python, Spark, and Apache Iceberg, enabling self-service analytics and AI-driven features.
The 4 biggest blockchain strengths are also its weakness Permissionless nature leads to fragmentation of meaning Decentralization leads to too many standards Immutability leads to exponential data + query…
Build and maintain AI-assisted data pipelines and dashboards that integrate financial systems (e.g., QuickBooks) into a centralized PostgreSQL/Supabase cloud database, using Python/TypeScript, React/Next.js, and AI coding tools.
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