Tech jobs
Job listings
Software Engineer, Big Data
Build and maintain scalable big-data pipelines using Spark, AWS, and Java/Python to power analytics and reporting for a global bank.
Data Engineer III - Spark, AWS & Snowflake (Toronto)
Builds and maintains scalable data pipelines using Python, Apache Spark, AWS, and Snowflake to transform restaurant data into insights.
[클로인트] 시니어 데이터 엔지니어 (Senior Data Engineer)
Builds and maintains ETL/ELT pipelines, data lakes, and warehouses using Hadoop/Spark to process blockchain and financial logs for AML/KYT compliance and on-chain analytics.
Software Engineer, Cloud Bigtable SQL and Analytics
Builds SQL-like analytics and ML feature-store capabilities for Google Cloud Bigtable, including materialized views and vector search, while maintaining a large-scale distributed database system.
Data Architect (Cloud - AWS)
Designs and optimizes AWS-based data pipelines and models for large-scale cloud platforms, bridging data engineering and science using services like Redshift, DynamoDB, and Lambda.
Full Stack Software Engineer (React + Node.js)
Builds and maintains React-based frontend and Node.js backend features for a brand-performance analytics platform, integrating AI-driven insights and modern cloud tech.
Databricks Expert - Data Engineer/Data Architect
Design and implement cloud-native data pipelines on Databricks and Azure, integrating big-data tools to feed analytics and ML models for enterprise clients.
Senior Azure Data Engineer
Designs and builds cloud-native data pipelines on Azure, integrating Big Data tools like Spark and Databricks to feed analytics and ML models for enterprise clients.
Data Engineer | Microsoft Fabric | Roma
Design and build modern data solutions on Microsoft Fabric and Azure, using Lakehouse, Warehouse, Notebooks, and Spark pipelines for large-scale datasets.
Azure Data Engineer
Designs and builds cloud-native data pipelines on Azure, integrating big data tools like Spark and Databricks to feed analytics and ML models for enterprise clients.
){kind=logo}
Amazon Web Services (AWS) Senior Generative AI Strategist, Generative AI Innovation Center
Partner with customers to identify and implement generative AI solutions that drive business value, translating complex technical concepts for executives and guiding AI-driven transformations.
Data Engineer
Design and maintain scalable data pipelines, ETL/ELT workflows, and APIs in AWS/GCP to feed data warehouses, lakes, and analytics products.
Associate Data Engineer
Build and maintain cloud-based data pipelines on AWS and Databricks, ensuring high uptime and performance while optimizing costs and security.
Senior Data Engineer (Azure, Databricks & MLOps)
Senior Data Engineer builds and optimizes scalable Azure-based data and ML pipelines using Databricks, PySpark, and MLOps tools to support analytics and AI deployments for fintech and public-sector clients.
Remote Backend Engineer - Python, Data-Driven Experiments
Build Python services and data pipelines for A/B testing and experiment analytics, integrating with Spark/Databricks and collaborating with search and ML teams.
Cyber Defense Big Data Engineer - Spark & ETL, Hybrid
Designs and builds large-scale data platforms for cyber defense, integrating multi-source data with Spark and ETL pipelines to enable analytics and intelligence insights.
Senior Data Platform Engineer (Databricks)
Architect and build cloud-agnostic data platforms using Databricks, designing scalable pipelines and optimizing performance across AWS, Azure, and GCP for enterprise clients.
Big Data & AI Engineer - 100% Remote
Designs scalable data pipelines and AI systems using Spark, Python/Scala, and cloud architectures to build generative AI and Lakehouse solutions.
Backend Developer - Python, FastAPI & Data Pipelines
Designs and builds scalable Python/FastAPI services, integrates AI/LLMs, and maintains data pipelines with MongoDB and Apache Spark on private cloud clusters.