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Business Intelligence Analyst
Analyze travel-booking data to turn marketing, product, and operations metrics into actionable insights, build dashboards, and identify AI-driven automation opportunities in a hybrid role.
Data Engineer
Design and maintain scalable data pipelines using Airflow, Spark, Kafka, and cloud warehouses like Snowflake or BigQuery, optimizing performance and delivering data-driven insights.
Data Engineer
Build and operate cloud-native data platforms using Python, Spark, and AWS/GCP, designing scalable ETL/ELT pipelines and modern data warehouses.
Data Engineer
Build and maintain data pipelines on GCP and Snowflake that feed marketing analytics and AI/ML applications, using Matillion, Rudderstack, and Amplitude.
Data Engineer
Design and build scalable data pipelines and architecture using Python, SQL, and cloud platforms (AWS/Azure/GCP) to transform raw data into actionable insights for a fintech company.
Google Cloud Platform Data Engineer :: Remote :: W2 Profiles only
Senior Data Engineer builds and maintains data pipelines across AWS and GCP, focusing on PostgreSQL, Cloud SQL, and BigQuery to process streaming data from AWS Firehose.
AI/ML Engineer - Houston, TX, San Antonio, TX, Dallas, TX, Austin, TX.
Develop enterprise AI solutions on Google Cloud using Vertex AI, BigQuery ML, and Generative AI; build ML pipelines and train models.
Senior Software Engineer - Graph Analytics for Snowflake
Build a Snowflake Native App that embeds Neo4j graph analytics into customers' warehouses, shipping Java/Python runtimes, SQL-first APIs, and secure DevOps pipelines for enterprise data teams.
Staff / Principal Software Engineer, Platform
Build and maintain the core infrastructure and developer platform that powers an AI product, including Kubernetes-based runtimes and observability stacks, to keep engineering teams highly productive.
Senior Data Platform Engineer | Hybrid + Growth Grant
Build and maintain data infrastructure (pipelines, warehouses) in Python and cloud platforms (BigQuery/Redshift, AWS) to power apps, devices, and sales with reliability and cost efficiency.
Data platform engineer
Build and maintain the data infrastructure that powers connected-watch platforms for brands like Jaguar and Lotus, focusing on pipelines, warehousing, and cost-efficient cloud systems.
GCP Data Engineer/Modeller: BigQuery Analytics & Modeling
Designs and models scalable BigQuery data structures on GCP to power analytics and reporting for a financial services company.
Position: Principal Data Engineer New
Principal Data Engineer at REA Group designs and oversees large-scale data systems for Australia’s leading property platform, ensuring reliable pipelines and high-quality data delivery for millions of users.
GCP Data Engineer — Build Scalable Cloud Pipelines
Designs and optimizes scalable data pipelines on Google Cloud using BigQuery, Dataflow, Pub/Sub, and Cloud Composer to deliver organizational insights.
GCP Data Engineer & Modelling Specialist (BigQuery)
Designs and builds scalable data models and pipelines on Google Cloud Platform using BigQuery to power analytics and reporting for a financial services company.
GCP Data Engineer & Modeller | BigQuery & Data Vault
Designs and optimizes Google Cloud data pipelines and models in BigQuery to support analytics and reporting for a financial services company.
GCP Data Engineer/Modeller for BigQuery Analytics
Builds and optimizes Google Cloud data pipelines and BigQuery models to power analytics and ML-driven decisions for a financial services company.
GCP Data Engineer/Modeller - BigQuery Analytics
Design and build Google BigQuery-based data models and pipelines for enterprise analytics, transforming complex source systems into scalable, high-quality data assets.
Principal Data Engineer
Lead the architecture and delivery of large-scale data systems for a top Australian property platform, guiding ETL workflows, cloud warehouses, and cross-team collaboration.
Solution Designer / Lead Data Engineer (Google Cloud)
Design and lead the modernization of an enterprise-wide GCP data ingestion framework, building scalable, secure, and real-time pipelines using BigQuery, Dataflow, Pub/Sub, and related GCP services.