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Data Architect/Engineer- Bilingual Korean/ English)
We are seeking a mid-level Data Platform Engineer to build a new greenfield data platform integrating internal systems (GSCM, SEASI, SMART, and BOSS) using a Medallion Architecture. This role owns the end-to-end data…
Data Engineer (Denver, CO)
Data Engineer at TriSearch who owns the analytical data ecosystem end to end: building and operating AWS-based pipelines and APIs, a bronze/silver/gold lakehouse on Apache Iceberg, plus forecasting, anomaly-detection, and data-quality models that power reporting and production AI in a multi-tenant SaaS platform.
Research Scientist
About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to…
Staff Applied AI Engineer - Enterprise AI Solutions
Staff Applied AI Engineer who works directly with enterprise customers to scope, build, and deploy Gen AI/ML solutions — RAG systems, fine-tuning pipelines, prompt engineering, and agentic workflows — using Python and the modern applied AI stack (PyTorch, Hugging Face, FAISS, vector DBs, LangGraph), while turning repeatable patterns into reusable internal tooling and best practices.
Data Engineer: Python, SQL & AWS Pipelines
Trust Recruit is hiring a data engineer in Singapore to build and maintain ETL/ELT data pipelines for DRUMS and remote monitoring systems, processing time-series sensor data. Core stack: Python, SQL, pandas/NumPy, and AWS (S3, RDS, Lambda, Glue), with Docker, Airflow, and Linux a plus.
AIML - Machine Learning Engineer, Evaluation - Responsible AI and Safety
ML engineer on Apple's HCMI/Responsible AI team in Cambridge, assessing and improving the safety and fairness of Apple Intelligence's generative AI features. Day-to-day involves designing human annotation datasets and safety metrics, building data pipelines, and reporting evaluation findings, using Python and Pandas.
Python Developer
Senior Python developer on a 6-month contract, fully onsite in NYC, building apps for equity trading and post-trade: trade lifecycle events, corporate actions, and P&L. Uses pandas/Polars/NumPy for data processing, Kafka/Avro for event-driven flows, and FastAPI/Flask REST APIs with SQL databases.
Python Developer
Senior Python consultant embedded in a global multi-strategy hedge fund's Equities Core Technology team in NYC, building scalable post-trade event processing, data transformation, and P&L streaming services using Python, pandas/Polars/NumPy, FastAPI/Flask, and Kafka with Avro schemas.
Applied Data Scientist
Applied Data Scientist at Vi owns 3-5 enterprise healthcare accounts end to end: integrating customer data (claims, EHR, tokens, marketing) into Vi's platform, designing pilots that prove business value, and building automated Python/PySpark/Airflow ML pipelines that train, score, and deliver predictive insights for care navigation.
Sales Compensation Analyst (Pipeline Operations & Data Integrity)
About the Role: Role Overview: The Sales Compensation Analyst (Pipeline Operations & Data Integrity) is an essential technical driver responsible for ensuring the operational health, daily precision, and end-to-end…
Remote Data Engineer: Multi-Tenant ETL Architect
Data Engineer who designs and scales configurable ETL frameworks for a multi-tenant analytics platform serving educational clients. Day to day: building Python pipelines with Polars/Pandas, optimizing BigQuery workloads, and ensuring testing, logging, and documentation — 100% remote from the Philippines on US Eastern night hours.
Data Engineer (Python / SQL / AWS)
Data engineer role in Singapore (Tuas West Rd MRT, Mon–Fri 9–5.30pm) supporting a team that builds and maintains ETL/ELT data pipelines for time-series sensor data from shipboard machinery (DRUMS and remote monitoring), using Python, SQL, pandas/NumPy, and AWS services such as S3, RDS, Lambda, and Glue.
Senior Python Developer
Builds and scales Python-based backend systems using Flask, FastAPI, and microservices on GCP, focusing on clean code, performance, and algorithmic optimization.
Python Backend Engineer
Backend engineer developing and maintaining high-performance, reliable backend systems in Python, working with frontend teams on data integration. Builds containerized apps with Docker and Kubernetes and deploys on AWS (Lambda, EC2, ECS, EKS), with basic Terraform.