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Build an automated canary-analysis system that ingests edge-device telemetry, detects anomalies, and triggers promote/pause/rollback decisions using Prometheus/VictoriaMetrics and Python.
Senior Data Engineer builds and maintains data pipelines, ETL/ELT processes, and real-time monitoring systems using Python, SQL, Databricks, and Spark, while also developing full-stack web apps with React/Angular and DevOps tooling.
Builds data pipelines, ETL/ELT processes, and full-stack web apps in Python/SQL with React or Angular; maintains time-series databases and Databricks/Spark clusters; sets up real-time monitoring and dashboards.
Staff Engineer designs and maintains scalable GCP cloud infrastructure and Kubernetes clusters for global media APIs handling 1B+ daily requests, using Terraform, Helm, and observability tools.
Senior Data Engineer builds scalable pipelines to process billions of market data records for trading systems using Python, SQL, Spark, and Kafka.
Staff Engineer designs and maintains scalable cloud infrastructure on GCP, automates deployments with Kubernetes/Helm/Terraform, and ensures reliability for global media services handling 1B+ daily requests.
Staff Engineer designs and maintains GCP-based Kubernetes infrastructure handling 1B+ daily requests, automates deployments with Terraform/Helm, and ensures reliability for global automotive and media services.
Build and maintain the data pipelines and warehouse that power a quantitative investment firm’s ML-driven equity strategy, using Python, Snowflake, Airflow, DBT, and AWS.
Build and deploy RAG pipelines and large-scale AI systems for industrial use cases like predictive maintenance and smart factories using Python, PyTorch, and vector databases.
Build and deploy AI and data-driven tools to accelerate engineering workflows, enhance data access, and support generative-AI solutions for climate-tech products.
Build and deploy AI/ML models and generative-AI tools that accelerate engineering workflows, extract and enhance technical data, and support simulation and decision-making across Trane Technologies' climate solutions.
Build and maintain scalable data pipelines and ML feature stores for industrial intelligence, using Spark, Python, and Databricks to turn automotive and supply-chain data into real-time insights.
Build and maintain scalable data pipelines and cloud-native platforms to power AI and analytics for investment banking and global markets using Spark, Kafka, and cloud services.
Build and maintain scalable ETL/ELT pipelines and cloud data platforms to turn raw weather and environmental data into reliable, decision-ready datasets for B2B products using Python, SQL, Apache Beam, Snowflake, and BigQuery.
Build and own the data pipelines, ML feature stores, and inference APIs that power renewable-energy analytics at scale, integrating forecasts into a SaaS platform for wind, solar, hydro, and storage assets.
Build and scale AI/ML systems for banking, including LLM apps, RAG pipelines, and agentic workflows, while ensuring secure, high-quality data pipelines and MLOps automation.
Senior Data Engineer builds scalable pipelines and models to turn connected-vehicle telemetry into insights that guide product and engineering decisions using Python, SQL, and GCP.
Builds and maintains data pipelines and analytics-ready datasets in Snowflake and Power BI for large capital-infrastructure programs, using Azure Data Factory to ingest and transform messy data from ERP, PMIS, and external sources.
Build and maintain front-office systems for commodities trade risk assessment, including market data ingestion, time-series frameworks, and ETL pipelines in Python.
Build and maintain Python-based data pipelines, web apps, and dashboards for production use, integrating ETL/ELT, time-series databases, and full-stack web tech.
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