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About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring…
Staff Software Engineer on Pinterest's Data Product Platform team, designing and building exadata-scale data warehouse architecture and agentic analytical tools using big data technologies like Spark, Trino, and Flink.
A senior hands-on data engineer at Home Depot who designs, builds, and operates enterprise-scale data platforms in the Enterprise Data Warehouse, including data domains, semantic layers, and analytics consumers. Core tech includes BigQuery, SQL, Python, Airflow, and Jenkins, with a focus on scalability, performance, cost optimization, and mentoring other engineers.
Senior data engineering manager who builds The Nuclear Company's centralized data platform from the ground up: designs data models, pipelines, and tooling; leads and develops a team of data engineers; and enforces data quality, access control, and cloud cost management. Hands-on early on with SQL, Python, cloud data platforms, and AI-first tooling like Claude Code.
Lead a global data team at a fintech company building brokerage infrastructure, overseeing data strategy, analytics, and AI initiatives while managing partner invoicing and embedded analytics for financial institutions.
Build and maintain scalable data models for a global brokerage-infrastructure platform using dbt, Trino, and GCP, delivering financial and operational metrics to stakeholders.
Lead Alpaca’s data governance program: set classification, access, and protection standards for its global brokerage-data lakehouse and analytics stack, ensuring compliance with financial regulations and partner requirements.
Staff Software Engineer builds and scales data pipelines, APIs, and integrations for EnergyHub’s energy-grid platform, using Snowflake, AWS, gRPC, and Python to process billions of utility and DER data points.
Principal Data Engineer builds scalable pipelines and systems to ingest and process IoT device telemetry and utility data, enabling cleaner energy grids and virtual power plants using Python, SQL, Snowflake, and cloud tools.
Full-stack software developer building cloud-native enterprise applications for Nakisa's HR, financial, and real estate platform used by Fortune 1000 companies. Day to day: design and build backend services in Java/Spring Boot plus frontend components (Vue.js), optimize APIs and database schemas, and ship in an Agile, TDD team with AI-assisted tooling.
Build and maintain scalable data pipelines and metrics for DoorDash’s logistics operations, partnering with engineers and analysts to deliver trusted, self-serve analytics using SQL, Python, and tools like Snowflake and Tableau.
Build and scale data pipelines, ETL workflows, and warehouse models to power analytics and reporting at DoorDash.
Build and maintain data pipelines, models, and dashboards in Snowflake and Looker to power analytics for Wolt’s global delivery platform.
Senior Data Scientist focusing on Workforce Management Analytics at Wolt, building forecasting models, time series analysis, and optimizing resource allocation for operational efficiency.
About the Team DoorDash is a data driven organization and relies on timely, accurate and reliable data to drive many business and product decisions. Data is at the foundation of DoorDash success. The Data Engineering…
Build and scale data pipelines, warehouses, and models to power analytics and reporting at DoorDash, using Python/Java, Spark, Kafka, Airflow, and cloud data platforms.
Builds and maintains DoorDash’s scalable data platform (Spark, Flink, Kafka, Airflow) to enable real-time analytics, data governance, and business insights for logistics/delivery operations.
Build and scale high-performance data pipelines and warehouse models to power analytics and reporting at DoorDash, using Python/Java, Spark, Airflow, Kafka, and Snowflake.
Designs and maintains data pipelines and BI systems for DoorDash, integrating SevenRooms data and building AI infrastructure to support company-wide decision-making using tools like DBT, Looker, BigQuery, and Python.
Build and deploy ML models for delivery ETAs, prep-time prediction, and logistics optimization at DoorDash Drive, using deep learning, reinforcement learning, and multimodal AI.
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