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About the Team It’s an exciting time to join our rapidly growing Accounting team with ample development opportunities. We're growing the Revenue Data team with Engineering and Accounting Data openings to drive our…
Build a cloud-native analytics platform from scratch: warehouse, dbt pipelines, semantic layer, and embedded analytics to turn HR survey data into insights for clients and internal teams.
Design and build scalable payment data models and cloud-native ELT pipelines for a fintech platform handling cards, ACH, wallets, and cash payments.
Designs and builds scalable data platforms using Snowflake, Databricks, and ETL/ELT tools for global clients, while advising stakeholders on architecture and governance.
Build and maintain a modern data platform (Snowflake, dbt, Airflow, Airbyte) on AKS, ensuring reliability, scalability, and observability while supporting internal data products and AI workloads.
Senior Data Platform Engineer builds and runs a modern data stack (Snowflake, dbt, Airflow, Airbyte) on AKS, ensuring reliability, scalability and security while enabling AI use cases and internal data products.
Build and maintain Nutripure’s data platform on GCP, ensuring reliable, fresh data pipelines and enabling analysts with clean models and observability.
Senior Data Engineer designs and builds scalable data platforms (data lakes, warehouses, pipelines) for clients, using cloud tools (GCP/Azure), ETL/ELT (dbt, Snowflake), SQL and Python to deliver reliable, high-performance data solutions.
Senior Data Engineer designing and building scalable data pipelines on Microsoft Fabric and Azure, using Python/PySpark, SQL, and Power BI to deliver analytics solutions for enterprise clients.
Build and optimize robust, scalable data pipelines and architectures for enterprise clients, blending hands-on engineering with consulting to turn business needs into actionable data solutions.
Designs and builds scalable data models and cloud-native ELT pipelines for a payments platform using Snowflake, dbt, Fivetran, and Looker.
Build and maintain production data pipelines and warehouses for an AI safety platform, using SQL, Python, and modern ETL tools to ensure clean, reliable data for engineering and research teams.
Build and maintain scalable data pipelines and models (Snowflake, dbt, Airflow) to power analytics, reporting, and AI use cases for a global enterprise integration platform.
Principal Data Engineer builds and leads a scalable data platform at an e-commerce photo-products company, focusing on trustable, decentralized data adoption and AI-driven customer experiences.
Build and maintain scalable data pipelines and warehouses for a fast-growing InsurTech, using cloud platforms and ETL tools to deliver clean, reliable data for analytics and business decisions.
Build and ship Snowflake-based data pipelines, analytics models, and light ML solutions for clients using AI coding assistants and modern BI tools.
Senior Data Engineer builds and maintains cloud-based data pipelines, warehouses, and BI reports using Snowflake, dbt, and Power BI to deliver trusted data for business decisions.
Lead a cloud data platform team, designing scalable pipelines and warehouses in AWS, setting engineering standards, and mentoring engineers to deliver high-performance data solutions.
Design and deliver enterprise Snowflake data platforms, lead client-facing technical discussions, and optimize cloud data solutions for large-scale transformations.
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