Tech jobs
Job listings
Principal Data Engineer, LLM/AI Platforms (Remote)
Principal Data Engineer builds and scales AI-native data infrastructure for LLM-powered security products, including RAG and agentic systems at Exabyte scale.
Data Engineer (PySpark)
Build and optimize PySpark pipelines for large-scale data processing, using HDFS, YARN, and Spark SQL to deliver clean datasets for analytics and reporting.
Data Engineer with Spark
Build and optimize PySpark pipelines for large-scale data processing, tuning performance and integrating with Hadoop, HBase, and SQL databases.
AI and Data - Data Architect - Healthcare
Design and lead enterprise-scale healthcare data platforms with agentic AI, integrating streaming pipelines, FHIR standards, and cloud-native tools like Kafka and Dataflow.
Senior Data Engineer (Sunnyvale, CA, On-Site)
Build and maintain scalable data pipelines and warehouses for a digital-health company, integrating device telemetry and patient records to power remote monitoring and analytics.
Senior Data Engineer (Sunnyvale, CA, On-Site)
Build and maintain scalable data pipelines and warehouses for a digital-health company, integrating medical-device telemetry and patient-monitoring data with cloud tools like Spark, Kafka, and Airflow.
Software Engineer, Data Infrastructure
Build and maintain petabyte-scale storage infrastructure for AI training workloads, optimizing data pipelines and distributed systems for performance.
Analytics Data Engineer - App Store
Build and maintain large-scale data pipelines and products for the App Store, processing petabytes daily to generate insights while ensuring privacy and correctness.
Data Engineer - Google Cloud Expert
Build and optimize Google Cloud-based data pipelines and infrastructure to support scalable, AI-ready data processing for millions of users.
Data Engineer – Platform
Build and scale large-scale data pipelines on Google Cloud Platform, standardize workflows, and improve developer experience to power AI-driven features like Discover Weekly and Wrapped.
Sr. Data Engineer - Data Platform
Build and optimize real-time and batch data pipelines for a fintech platform handling billions of events daily, using Spark, Kafka, and streaming frameworks to power fraud detection and AI products.
Staff Data Engineer, Product Risk & Analytics
Leads the data engineering team to build scalable pipelines and data infrastructure for payments, risk, and product analytics using Iceberg, Kafka, Flink, Spark, Airflow, and AWS.
Staff Data Engineer, Product Risk & Data Platforms
Leads data pipelines and platforms for payments, risk, and analytics using Iceberg, Kafka, Flink, Spark, and Airflow on AWS.
Senior Data Engineer
Build and maintain a privacy-focused data platform in Snowflake using dbt and Dagster, enabling accurate KPI tracking and analytics for a digital banking business.
Senior Data Engineer
Design and build scalable data pipelines and architectures for a fintech company, ensuring reliable data flow for analytics and financial products using Python, Spark, and cloud platforms.
CookUnity Data Engineering Specialist
Design and optimize data pipelines and models to support business decisions, using Java/Python/Scala and Snowflake/Spark/Flink.
Senior Data Engineer
Build and scale Relay’s Snowflake data warehouse and DBT models, create data tools and APIs, and ensure secure, privacy-preserving analytics for fintech growth.
Staff Data Engineer
Build and own the real-time data pipelines and infrastructure that feed AI models for a biotech platform, integrating customer systems and ensuring clean, reliable data at scale.
Senior Software Engineer (Data Engineering)
Build and maintain scalable data pipelines for Workday’s AI/ML features using Python, Spark, Kafka, and AWS, ensuring reliable data ingestion, governance, and serving.
Principal Data Engineer
Principal Data Engineer builds and scales the data platform at JobGet, a mobile-first hiring platform, using Snowflake, dbt, Kafka, and real-time streaming to power AI-driven job matching and analytics.