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Build and run a cloud-based data lakehouse platform for a fintech client, automating deployments, monitoring performance, and optimizing Kubernetes clusters with tools like Dremio, Spark, and Prometheus.
Build and ship scalable data science and ML products for insurance risk analytics, collaborating with engineering and product teams to turn datasets into production-ready solutions.
Designs and builds data pipelines, warehouses, and analytics systems using Python, Spark, and cloud platforms like Databricks or Snowflake.
Build and maintain cloud data pipelines in Python, using AWS services and IaC to ingest, process, and model data for analytics and operations.
Builds and deploys production-grade AI/data pipelines: LLM apps (RAG, agents), graph/ETL workflows, and cloud-native data platforms using Python, FastAPI, Airflow, Snowflake, and vector stores.
Lead the design and maintenance of a data lake and warehouse, ingesting structured/unstructured data, and mentoring a team of data engineers using Azure Data Factory, Databricks, and Python.
Build and maintain scalable data pipelines using Python/Scala, SQL, Spark, and cloud tools to move and transform data for analytics and reporting.
Build and govern data pipelines and products for a trading firm, integrating vendor datasets and ensuring reliability for traders and researchers using SQL, Python/Java, and modern data tech.
Build and maintain DRW’s Unified Data Platform, designing pipelines to ingest trading, research, and back-office data using SQL, Python/Java, and modern batch/streaming tech.
Senior Data Engineer builds and maintains DRW’s unified data platform, integrating vendor datasets and ensuring reliable pipelines for trading, research, and back-office teams using SQL, Python/Java, and modern data tech.
Build and govern data pipelines for a global trading firm, integrating vendor datasets and enabling traders and researchers with reliable, high-quality data products using SQL, Python/Java, and modern streaming/batch tech.
Senior Data Engineer builds and maintains DRW’s unified data pipelines, integrating vendor datasets and ensuring reliability for trading, research, and back-office teams using SQL, Python/Java, and modern batch/streaming tech.
Build and maintain scalable data pipelines and curated datasets on a modern Lakehouse and AI data platform, using Python, SQL, Spark and Kafka to support analytics and AI use cases.
Build and maintain Goldman Sachs’ Lakehouse and AI data platform, designing scalable pipelines, curated datasets, and data-quality controls to power analytics and AI use cases in a fast-paced finance environment.
Senior Data Engineer builds scalable data platforms using cloud tools (Azure/AWS), SQL, Python, and PySpark to enable data-driven decisions for global clients.
Senior Data Engineer designs and builds scalable data platforms using Snowflake and cloud providers (Azure, GCP, AWS) to enable data-driven decision-making for global clients.
Senior Data Engineer builds scalable GCP-based data platforms using BigQuery, pipelines, and modern warehousing concepts to enable data-driven decisions for global clients.
Build and maintain the data pipelines and retrieval layer that power Mirai’s Generative AI products on AWS, including vector stores, embeddings, and governed datasets.
Build and maintain large-scale data pipelines and ETL components in Java/Scala, using Spark for batch/streaming processing to support enterprise clients in media, healthcare, and tech.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines and cloud data solutions for manufacturing analytics and AI/ML at a global materials-science company.
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