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Build and harden enterprise data products in Snowflake and dbt, using SQL and Python to deliver governed, scalable datasets for analytics, AI-enabled apps, and ML pipelines at a cybersecurity company.
Design and maintain scalable data pipelines to ingest HR and workforce data (especially from Workday) into a cloud data platform using Fivetran, APIs, and file-based methods, ensuring reliability for downstream analytics.
Design and own a global data platform using Databricks, AWS/Azure, and GenAI tooling; enforce security, compliance, and scalable analytics for entertainment, finance, and logistics clients.
Build and scale the backend data infrastructure for an AI-driven health platform, using GCP, Spark, Databricks, and CDC tools to process lab results, imaging, and member data in real time.
Senior Data Engineer building production ETL pipelines on Databricks for Ripple’s lakehouse, modeling governed data layers and integrating AI tooling to power analytics and reporting across finance and payments.
Build and maintain the data models and dbt pipelines that power lending decisions, pricing, and portfolio analysis for a fast-growing fintech company.
Build and maintain data pipelines, transform raw healthcare diagnostics data into dashboards, and automate reporting for operations, marketing, and product teams using Snowflake, dbt, Tableau, and Python.
Leads a data engineering team to design scalable data pipelines, optimize cloud data warehouses (Snowflake/Redshift), and drive cross-functional collaboration for a healthcare platform connecting care networks. Focuses on architecture, team growth, and mitigating risks in regulated environments.
Design and secure scalable data platforms on AWS/Azure/GCP, integrating Databricks and ML pipelines while ensuring compliance and guiding customers through technical solutions.
Builds and maintains data pipelines on Google Cloud (BigQuery) using Python, SQL, and dbt to support healthcare payments analytics, focusing on Medallion architecture and data quality.
Lead a team of data engineers to build and scale a BigQuery-based Medallion data platform using dbt, Fivetran, and Cloud Composer, while enforcing governance and data quality standards.
Design and prototype Databricks Lakehouse architectures for enterprise clients, building scalable data/AI platforms and guiding delivery teams on Delta Lake, Unity Catalog, and Mosaic AI.
Build and maintain data models in SQL, Python, and DBT to turn raw platform and business data into actionable metrics for product and business decisions using GCP tools.
Data Analytics Engineer Department: Strategy and Operations Location: San Francisco Employment Type: FullTime About Broccoli At Broccoli, we're building AI teammates for the people who build and maintain our world.…
Designs and oversees end-to-end data pipeline integrations so customers can reliably sync and query their data warehouses with minimal engineering effort.
Data Engineering Consultant Team: IT Location: Brazil Commitment: Full-time Workplace Type: remote This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is…
Data & AI Senior Technical Delivery Manager Team: Project Management Location: US Commitment: Full-time Workplace Type: remote This position is listed on behalf of a partner company, who manages all applications…
Staff Analytics Engineer Department: Data Location: Boston, Massachusetts Compensation: $175K – $190K Employment Type: FullTime About Topline Pro We’re building AI powered Shopify for service businesses. We help…
Director, Data Analyst/BI Engineer Location: United States Department: Data Engineering WHY DEPT®? We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the…
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to…
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