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Build and maintain data pipelines, manage SingleStore databases, and support developers in a lakehouse environment.
Builds and maintains data pipelines and lakehouse platforms, ingesting and transforming data with SQL, PySpark, and streaming tools like Kafka.
Build and maintain Rover’s data pipelines and analytics infrastructure using Python, DBT, Dagster, and Redshift to ensure reliable, testable data for the business.
Senior data engineer building and maintaining ETL pipelines, data warehouses, and analytics models using Airflow, PostgreSQL, Azure, and GCP for a Valencia-based agency.
Build and maintain data pipelines, manage distributed databases, and support development teams using SQL, PySpark, and streaming tech like Kafka.
Backend Python developer building AI-driven data pipelines and APIs for renewable-energy operations, using FastAPI, Airflow, and SQLAlchemy.
Build and optimize TypeScript-based ETL pipelines for a European MedTech company, processing large volumes of cardiac monitoring data in AWS with PostgreSQL, Kafka, and Kubernetes.
Build and maintain cloud data pipelines and datasets to track cloud costs, usage, and performance for engineering and finance teams using AWS, Snowflake, and Python.
Build and maintain petabyte-scale data pipelines using Iceberg, Spark, DuckDB, and Trino, and own the reporting stack behind the Clear UI.
Designs and implements scalable cloud-based data pipelines and workflows using Apache Airflow and Airbyte for enterprises.
Lead a data team building AI-driven healthcare analytics for hospitals, focusing on PMSI coding and patient-stay valuation while ensuring regulatory compliance and team growth.
Senior Data Engineer builds and runs AWS-based data pipelines, mentors junior engineers, and advises clients on scalable data platforms using Python, Spark, and Airflow.
Build and optimize data pipelines on AWS for clients, focusing on automation, Spark, and CI/CD to enable scalable analytics and business insights.
Build and maintain cloud-based data pipelines in Python and SQL, design modern data platforms (Data Lake, Warehouse), and ensure data quality and observability for analytics and AI projects.
Build and maintain the data pipelines that power Vibe.co’s streaming-TV ad reporting, ensuring accurate, real-time campaign metrics for advertisers.
Senior Data Engineer builds and maintains cloud-based data pipelines for enterprise clients, using Python, SQL, dbt, and Airflow to integrate, transform, and deliver reliable analytics-ready data.
Build and optimize scalable data platforms, develop robust ETL/ELT pipelines, and mentor junior engineers using Python, SQL, Spark, and cloud tools like AWS/Azure/GCP.
Build and optimize AWS data pipelines for enterprise clients, focusing on automation, cloud-native tooling (Spark, Airflow, Terraform), and scalable data platforms to enable analytics and business insights.
Build and maintain scalable data pipelines and cloud-native infrastructure to ingest and optimize multi-modal scientific datasets for ML model training in drug discovery.
Build and optimize cloud-native data pipelines and lakehouse infrastructure to process multi-omics datasets for ML-driven drug discovery in a TechBio company.
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