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Builds and scales data pipelines, warehouses, and BI dashboards for e-commerce and retail clients using AWS, Spark, Airflow, and SQL.
Lead a data engineering and analytics team to build scalable data infrastructure and AI-powered analytics for Serve Robotics' autonomous delivery robots, enabling data-driven decisions across operations and product.
Build and scale data pipelines in Snowflake using dbt, Dagster, and Python to deliver clean, reliable business insights for a fintech company.
Lead the design and maintenance of Databricks-based ETL pipelines and data models for a fintech platform, transforming raw financial data into insights for investors and AI workloads.
Senior Data Scientist builds and leads AI/ML models and analyses to solve complex business problems using Python, Databricks, and LLM workflows, translating data insights into actionable strategies.
Builds and maintains scalable ETL pipelines and data warehouses to power analytics for EA’s user-generated content platform, using Python, SQL, Airflow, and cloud platforms.
Lead a team to build and optimize Faire’s core data infrastructure and BI systems, ensuring reliable, high-quality analytics that power product features for small and medium businesses.
Build and maintain ELT pipelines and data models for a cloud platform serving tours & attractions, using SQL, Python, and cloud data tools.
Build and own Jane’s customer data infrastructure from the ground up, designing event pipelines, schemas, and identity resolution to power reliable analytics and marketing decisions across clinics and practitioners.
Build and optimize cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for global consumer brands like NFL and Lululemon.
Lead a data engineering and analytics team to build scalable pipelines, warehouses, and KPI frameworks that turn raw data into trusted business insights for a fintech startup.
Lead a data engineering and analytics team to build scalable data infrastructure and AI-powered analytics for a robotics-based delivery startup, ensuring reliable, governed data products for cross-functional decision-making.
Lead Faire’s Core Data Infrastructure team to build data models and pipelines that inform product decisions, using SQL, Python/Java, and BI tools like Looker to drive insights for SMB-focused ecommerce growth.
Build and maintain scalable data pipelines and cloud-based analytics infrastructure to support data-driven decisions in the energy sector.
Designs and builds scalable Snowflake-based data pipelines and architectures using Python, SQL, and cloud tools, optimizing performance and cost.
Build and maintain a privacy-focused data platform in Snowflake using dbt and Dagster, enabling accurate KPI tracking and analytics for a digital banking business.
Design and build scalable data pipelines and architectures for a fintech company, ensuring reliable data flow for analytics and financial products using Python, Spark, and cloud platforms.
Design and maintain scalable data pipelines and warehouses to feed analytics and ML, using Python, SQL, cloud platforms (AWS/Azure), and ETL tools.
Senior Data Engineer builds scalable pipelines and models to turn connected-vehicle telemetry into insights that guide product and engineering decisions using Python, SQL, and GCP.
You’ll analyze financial and operational data using SQL, Python/R, and AI tools to build dashboards and reports that guide decisions in risk assessment and business strategy.
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