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Build and maintain PineStone’s data pipelines and warehouse in Snowflake using dbt and Matillion to feed investment analytics, reporting, and AI-driven workflows.
Builds and maintains scalable data pipelines and analytics infrastructure using Python, Spark, and Snowflake to process large datasets and generate business insights.
Builds Python and SQL-based monitoring, validation, and alerting to ensure data pipelines and analytics outputs are accurate, fresh, and reliable for a sports & entertainment marketing platform.
Build and optimize cloud data pipelines using Python, PySpark, SQL, and Databricks to ingest, transform, and load enterprise data into Snowflake warehouses.
Lead a team to design, optimize, and scale self-hosted databases and data pipelines for a major game studio, ensuring performance and compliance while mentoring engineers.
Senior Data Engineer builds and maintains scalable data pipelines and warehouses for a fast-growing embedded-payments fintech, enabling analytics and product decisions with Snowflake, DBT, Airflow, and Python.
Build and own scalable ETL/ELT pipelines and analytics layers in a modern data stack, transforming raw data into reliable insights for business decisions.
Design and implement scalable data architectures for AI systems, build robust pipelines, and lead MLOps/LLMOps deployments using Python, Spark, and cloud platforms.
Build and maintain data pipelines and ETL processes using PySpark, Airflow, and Databricks to power analytics and customer-focused products for a large retail company.
Build and maintain scalable data pipelines and analytics infrastructure using Python, Spark, and Snowflake to power business insights and decision-making.
Lead a small data engineering team at a capital brokerage, building scalable Databricks pipelines and Airflow workflows while balancing hands-on coding with team management.
Build and scale data pipelines and warehouses for a regulated AI platform serving financial institutions, using Spark, Snowflake, Kafka, Airflow, and Kubernetes.
Senior data engineer builds and maintains scalable data pipelines using Snowflake, DBT, Glue, and Python to deliver analytics and reporting solutions for enterprise clients.
Design and maintain scalable data pipelines using Snowflake, Databricks, Python, and SQL to build ETL/ELT solutions and cloud-native analytics platforms for enterprise reporting.
Build and maintain cloud-native data pipelines and warehouses to power AI/ML models and analytics for a PropTech client, using Python, Spark, SQL, and tools like Snowflake, Airflow, and Kafka.
Senior Data Engineer builds secure, scalable pipelines and cloud data infrastructure to power real-time analytics and ML models for a cleantech firm optimizing energy storage and costs.
Design and scale data pipelines for enterprise AI systems and analytics workloads using SQL, ETL/ELT, and cloud data platforms.
Build and maintain data pipelines in Snowflake, SQL Server, and PostgreSQL to feed analytics and reporting for an insurer’s underwriting, claims, and policy systems.
Build and maintain scalable data pipelines using Snowflake, Prefect, and Python to support AI-driven investment strategies for institutional clients.
Build and maintain data pipelines and warehouses using Python, SQL, Airflow, and BigQuery to power Citylitics' AI-driven infrastructure intelligence platform.
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