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Build and maintain data pipelines and analytics infrastructure for Indeed's GTM revenue engine using Snowflake, Salesforce Data Cloud, and GCP.
Builds and optimizes data pipelines and AI-driven marketing solutions for a customer-data platform company.
Build and maintain a full-stack internal platform using React/TypeScript, PHP/Symfony, and AI-driven workflows to automate marketing operations and integrate enterprise tools like Salesforce and NetSuite.
Build and maintain Python REST APIs (FastAPI/Flask) and React/TypeScript frontends for a marketing analytics platform, validating data from ETL pipelines and ML models while using AI tools critically.
Build and optimize data pipelines and ML models to create user identities and household profiles for advertising and measurement systems.
Own and scale Vibe’s petabyte-scale data backbone, building and maintaining storage, batch and real-time pipelines with Spark, DuckDB, Trino and ClickHouse.
Owns and optimizes real-time data pipelines and analytics infrastructure for a streaming ad platform, using Python/Rust, Kafka, Spark, and ClickHouse.
Build and deploy AI agents and GenAI tools to automate parts of the software development lifecycle, integrating them with existing systems on Google Cloud Platform.
Build and maintain data pipelines and cloud infrastructure for clients, focusing on Snowflake data warehousing, Data Clean Rooms, and cloud platforms like GCP, Azure, and AWS using Python, SQL, Docker, Terraform, and Airflow.
Build and deploy AI agent applications in Python/JavaScript, integrating them with existing systems and Google Cloud Platform while using generative AI tools to accelerate the software development lifecycle.
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.
Designs and maintains data pipelines to track and report campaign metrics for advertisers in an ad-tech environment.
Lead a team building scalable data pipelines that process billions of daily events using high-performance code and modern engineering practices.
Senior Data Engineer builds end-to-end data pipelines, modern data stacks, and analytics-ready warehouses for clients using SQL, Python, Airflow, dbt, and cloud DWHs like BigQuery or Snowflake.
Owns and builds data pipelines to transform product features into accurate reporting for advertisers using SQL, data modeling, and orchestration tools like Dagster or Airflow.
Build and maintain data pipelines and cloud-based data platforms for clients using Python, SQL, Docker, Kubernetes, and Terraform across GCP, Azure, and AWS.
Build and maintain scalable data pipelines for streaming TV advertising, ensuring accurate reporting and schema management in a hybrid setup.
Senior Data Engineer builds end-to-end data pipelines, modern data warehouses, and BI solutions for clients in marketing, CRM, and e-commerce using cloud DWHs, dbt, Airflow, and SQL.
Build and maintain data pipelines, integrate LLM APIs, and implement RAG workflows for a loyalty and engagement platform using Python, SQL, and Talend.
Build and maintain modern data platforms using Snowflake and Databricks, enabling AI-driven customer insights and marketing analytics.
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