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Senior engineer builds and operates the AI platform that turns raw grocery data into reliable context for LLMs and agent systems, including retrieval layers, evaluation harnesses, and production serving infrastructure.
Backend developer bridging backend and data engineering on a greenfield content platform for a media client, using Java 21, Python, Go, and AWS services to build data pipelines and APIs.
Product Manager owning analytics and reporting for Ellipsis Health's Voice AI product Sage—bridging data infrastructure and customer-facing insights using SQL, modern data stacks (Databricks, Airflow, Sigma/BI), and ETL pipelines in a hybrid San Francisco role.
Build and scale data infrastructure for traffic and road IT analytics, developing ETL/ELT pipelines, SQL, and Python code on AWS cloud while ensuring data quality and operational excellence across agile squads.
Design, develop, and optimize scalable ETL/ELT data pipelines using Python, PySpark, and SQL for a Singapore-based consulting firm serving banking clients.
Builds and maintains scalable data pipelines, warehouses, and APIs to power analytics and applications using SQL, Python, and cloud platforms.
Senior Data Engineer building and scaling data infrastructure and analytics—designing data warehouses, star-schema models, and ML layers using AWS, Snowflake, DBT, Airflow, and Fivetran in a hybrid role.
Data Engineer responsible for designing, developing, and maintaining scalable data pipelines on Databricks and Azure, supporting analytics and ML workloads with ETL, streaming, and batch processing.
Designs and optimizes scalable data pipelines using Spark, Airflow, Python, Scala, and Kubernetes for an international project in Madrid.
Big Data Engineer designing, developing, and optimizing data pipelines and big data solutions using Spark, Airflow, Python, Scala, Kubernetes, IBM Cloud, COS/S3, and Bash in complex enterprise environments.
Data Engineer in Madrid designing and maintaining data pipelines, optimizing PostgreSQL for analytics, and supporting KPI definition and reporting.
Senior Data Engineer building agentic systems for Fountain's data platform — designing agent-assisted dev workflows, evaluation layers, and self-service analytics using dbt, Dagster, ClickHouse Cloud, Python, and LLM/agent tooling.
Data Engineer role focused on PostgreSQL and analytics, responsible for designing and maintaining data pipelines, optimizing database performance, and supporting analytics teams. Core technologies include PostgreSQL, SQL, Python, and Airflow for data processing and transformation.
Data Engineer designing and maintaining scalable batch and streaming data pipelines on AWS, working with Python, Spark, Airflow, and infrastructure-as-code tools like Terraform in a hybrid setup in Madrid.
Builds and maintains scalable data pipelines for EA’s Localization team, processing structured/unstructured data to support AI/ML and analytics. Focuses on ETL/ELT, cloud-based solutions, and ensuring data integrity for global game localization.
Data Engineer building and scaling a modern data stack (Snowflake, dbt, Airflow, Python, SQL) to power AI-driven data products and analytics for a shopping/cashback app.
Own data pipelines, data modeling, and governance to power AI-driven decision making using Snowflake, dbt, Airflow, and Metabase on a modern data infrastructure.
Data Platform SRE on Apple's AI & Data Platforms team, responsible for developing and operating large-scale big data platforms using Apache Spark, Apache Iceberg, and cloud services (AWS/GCP) to support analytics, reporting, and AI/ML applications.
Senior Data Engineer building and optimizing Snowflake data platforms, dbt-based ELT pipelines, and Reltio MDM integrations for a life sciences data company.
Builds real-time data pipelines and a company-wide data lake for an aviation logistics startup, ensuring data quality and scalability in a regulated industry using Airflow, Python, and AWS.
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