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Senior Data Engineer (CAN)
Senior Data Engineer building greenfield ML data infrastructure—lakehouse architecture, training pipelines, feature stores, and pipeline observability—on GCP using Python, Spark, Kafka, and Airflow for a healthtech SaaS platform.
Data & AI/ML Engineering
Design and maintain scalable data pipelines, ML model-serving infrastructure, and AI-enabling data systems (feature stores, vector DBs) for a healthcare-focused Public Benefit Corporation using Python, SQL, and cloud platforms.
Senior Data Engineer - Healthcare Data & Audience Applications
Build and maintain healthcare-focused data pipelines and models in Snowflake and AWS, turning provider, claims, and audience data into trusted marketing insights using Python, Airflow, and EMR.
Data Engineer | AWS Spark & Airflow | Madrid, 12mo Contract
Designs and maintains scalable data pipelines using PySpark, Spark, and AWS services to ingest, transform, and load data for analytics and reporting.
Databricks & Azure Data Factory Senior Data Engineer
Builds and maintains distributed data pipelines on Databricks and Azure Data Factory for digital-transformation projects using Spark, Delta Lake, and Airflow.
Data Engineer
Designs and builds scalable data pipelines and analytics solutions on AWS using Python, PySpark, and modern orchestration tools.
Data Engineer
Builds and maintains data pipelines on AWS using PySpark, Python, and Airflow to enable analytics and reporting.
Remote Data Engineer - AI-Powered Data Pipelines
Build and maintain AI-powered data pipelines and analytics-ready models using Snowflake, dbt, Airflow, and AWS in a remote-friendly environment.
BIM Modeler, Mechanical
About Giga Giga is building gigawatts of AI data centers to hasten a future of intelligence and abundance. We build data centers fast and at scale by combining the capabilities of an equipment supplier, engineering…
Data Engineer - Data Platform
Build and maintain scalable data pipelines and warehouse infrastructure for a climate-tech company using Python, SQL, and Snowflake to power analytics and product data.
Software Developer - API - Senior
Senior developer builds and maintains REST APIs, AI agents, and web apps using React, Node.js, and cloud tools in an outsource team.
RQ11442 - Software Developer - API - Senior
Senior developer builds and tests RESTful APIs and AI-powered web apps using React, Node.js, and Next.js, with expertise in agentic AI, ML models, and cloud platforms like Azure.
Full Stack Engineer
Builds and owns full-stack features (React/Next.js frontend, API routes, SQL queries) to visualize complex healthcare/actuarial data for payers and providers, enabling value-based care contracts. Works with AI tools like Claude/Cursor to accelerate development while ensuring quality.
Data Engineering Manager: Build Scalable Pipelines
Lead cross-functional teams to design, build, and maintain automated data pipelines and scalable platforms using Spark, Airflow, dbt, Snowflake, and Databricks.
Data Engineer Manager
Lead the design, development, and optimization of automated data pipelines across multi-platform environments using tools like Spark, Airflow, dbt, Snowflake, and Kafka for a Philippine telecom company.
Data Engineer - Mid
The Data Engineer implements complex databases and data pipelines for real-time decision-making, working on insurance pricing models and analytical tools for Property & Casualty insurance products. Core technologies include SQL, Python, and data modeling.
QA Automation Engineer
Develops and scales automated test frameworks (API/UI) for a healthcare SaaS platform with AI-driven features, ensuring quality in fast-paced releases while collaborating with engineers and product teams.
[FBO] Data Engineering Spark Scala - 1773 (IT) / Freelance
Build and maintain data pipelines in Spark (Scala) for a large French bank’s data engineering team, integrating batch, streaming, and API flows with Kafka, HDFS, and Cassandra.
Lead Data Engineer | Architect & Mentor (Python) - Remote
Lead Data Engineer architecting data solutions in Python and SQL, using Google Cloud, BigQuery, and Airflow while collaborating with Product, DevOps, and QA teams.