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The Space Telescope Science Institute (STScI), operated by the Association of Universities for Research in Astronomy (AURA), is NASA’s science operations center for missions including the Hubble and James Webb Space…
Senior Commissioning Engineer Sustainability New York City, NY Salary Range: $125000 - $140000 USD Do you have a desire to learn and advance your career in a dynamic, collaborative work environment? CodeGreen is a…
Designs and maintains scalable cloud data pipelines and warehouses using Python, SQL, and AWS services to support analytics and AI workloads.
Maintain and troubleshoot Databricks-based cloud data platforms, ensuring reliable ETL/ELT pipelines and Spark workloads on AWS or Azure for enterprise clients.
Data Analyst builds and tests recommendation/search models to improve product metrics using Python, SQL, and Airflow in a Big Data team.
Build and automate Apple Ads’ Snowflake-based cloud data warehouse on AWS, using Iceberg lakehouse tech and Python to deliver reliable, scalable advertising analytics and pipelines.
Build and maintain production data pipelines on Databricks, transforming raw data into clean, governed datasets for analytics and AI teams using PySpark, SQL, and Delta Lake.
Design and modernize enterprise-scale Snowflake data platforms, build governed, cost-efficient data models, and guide teams on Snowpark, dbt, and Cortex for AI-ready analytics.
Build and maintain scalable data pipelines and automated reports to analyze ecommerce shop performance and retail-media ad revenue, using SQL, dbt, BigQuery, and Airflow.
Build and maintain data pipelines and automated reports for ecommerce and retail media analytics, using SQL, dbt, and cloud platforms like BigQuery.
Build and operate core data platform applications (Airflow, QuickSight, APIs) on AWS to enable scalable, self-service data usage across MOIA’s teams.
Principal Data Scientist at i2c Inc leading fraud detection and AI systems, including transaction fraud, RAG chatbots, and agentic digital-CSR, while managing a team of ~20 data scientists.
Principal Data Engineer builds and scales real-time and batch data pipelines using PySpark, Kafka, Flink, and cloud orchestration tools, while leading a team and mentoring peers.
Build and deploy large-scale ML systems for personalized recommendations, search, and ads at Reddit, using PyTorch/TensorFlow and distributed pipelines.
Build and deploy large-scale ML systems for recommendations, search, ads, and LLM-driven features that power Reddit’s community platform.
Data scientist validating and improving ML scoring models for B2B credit risk at a fintech bank, translating model outputs into limit strategies and monitoring portfolio performance with Python, SQL, and Airflow.
Build and deploy AI agents for supply-chain orchestration, integrating them securely with legacy systems using Python, GCP, and Vertex AI while optimizing token usage and performance.
Build and deploy AI-powered features that extract insights from financial data using NLP, LLMs, and scalable systems in a fintech environment.
Build and deploy AI agents for supply-chain optimization, integrating them securely with legacy systems using Python, GCP, and Vertex AI Agent SDK.
Build and maintain the data warehouse and semantic layer for a fintech platform, modeling financial data (P&L, FX, exposure) using dbt, SQL, and Airflow to ensure reliable, reusable assets for AI agents and business stakeholders.
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