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Principal Software Engineer
Principal Software Engineer to lead the architecture of an AI-ready data platform for a global fintech company, defining standards for trusted, governed data products that power analytics and secure customer integrations.
Software Engineer - Data Integration
Build and operate scalable data pipelines and API-first services that ingest, process, and distribute media intelligence data for brands and partners using Python, Spark, Kafka, and cloud-native tooling.
Founding Software Engineer, Data Infrastructure
Build and scale Airweave’s distributed data pipelines, vector databases, and LLM inference infrastructure to power thousands of AI agents reliably at scale.
Software Engineer Data
Build and optimize high-performance data pipelines for crypto trading, ingesting and processing market data with Python, Rust, and distributed systems like Kafka and ClickHouse.
Data Analytics Engineer (ID:3416)
Build and maintain scalable data pipelines and analytics-ready datasets in Snowflake, using SQL, Python, and Data Vault to deliver clean, reliable data for business insights.
Software Engineer - Data Integration
Build and maintain scalable data pipelines and API-first services for ad-tech, using Python, Spark, Kafka, and cloud platforms to ingest, transform, and distribute audience data reliably.
Software Engineer – Data Integration
Build and operate scalable data pipelines for ingestion, processing, and distribution in an ad-tech platform, using Python, Spark, Kafka, and cloud services.
Senior Azure Data Engineer (ID:3501)
Build and maintain scalable Azure data pipelines using Databricks, Data Factory, PySpark, and Python to power enterprise analytics and reporting.
Senior Data Engineer New Amsterdam
Build and maintain Airflow-based data pipelines that ingest financial market data, automate reporting, and deploy across cloud environments using Python, SQL, and AI coding assistants.
Cloud Data Engineer: Build Scalable Platforms & Pipelines
Build and maintain scalable cloud data platforms and pipelines using Python, Spark, Kafka, and Airflow for analytics and ML at leading organizations.
PySpark Data Engineer (ID: 3887)
Build and maintain scalable PySpark data pipelines on Databricks, orchestrating workflows with Python and Airflow to deliver reliable analytics-ready data.
Data Engineer Python SQL
Build cloud-native data pipelines and platforms for AI products using Python, SQL, Airflow, and GCP, processing billions of records to feed ML models.
Senior Data Engineer
Build and maintain a scalable data platform for a quantitative investment firm, using Python, Airflow, and AWS to process market data and support research workflows.
Senior Data Engineer
Design and build SQL Server-based data pipelines and enterprise data warehouse for a European bank, modernizing legacy systems with Python, Airflow, and Azure while ensuring regulatory compliance.
Data Engineer Intern
Build and optimize data pipelines for gaming analytics, processing real-time and batch streams with Python/Java/Go and SQL.
Data Engineering
Build and maintain scalable data platforms using Python, Spark, Kafka, and cloud-native tools, then embed with partner orgs to deploy ML models and analytics in production.
Data Engineer
Build and optimize a global data platform serving tens of millions using Python, Airflow, Kafka, and Kubernetes to improve performance, cost, and data quality.
Data Engineer
Build cloud-native data infrastructure that powers AI/ML features for a cybersecurity product, designing scalable pipelines and ensuring reliable data flows from source to model.
Staff Software Engineer - Backend
Build and scale backend infrastructure for a data and AI platform, focusing on distributed systems, cloud storage backends, and scalable services using Scala/Java.
Senior Software Engineer - Backend
Build and scale backend infrastructure for Databricks’ data and AI platform, working on distributed systems, cloud storage backends, and scalable services in Scala/Java.