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Build and maintain open-source data platforms using Python, SQL, Spark, and Trino; design pipelines, orchestration, and observability for batch/streaming data.
Senior Data Platform Engineer designs, builds, and advises on open-source data platforms for clients, focusing on stability, security, and performance using tools like Trino, Spark, and Kubernetes.
Senior role designing and advising on open-source data platforms for clients, focusing on ingestion, processing, governance, and serving layers using Python, Spark, Kafka, Kubernetes, and related tools.
Build AI-augmented web apps and prototypes for clients in retail, finance, and hospitality using TypeScript, React, Node.js, and Postgres, with AI tools like Cursor or Claude Code woven into daily engineering.
Build and maintain secure, production-ready data pipelines and integrations to expand data usage across the organization.
Build and maintain production-grade data pipelines, integrations, and AI-enabled analytics for a modern estate-planning platform.
Build and maintain production-grade data pipelines, models, and integrations for analytics, AI tools, and embedded products at a modern estate-planning fintech.
Build and own end-to-end data products—ingesting, modeling, and validating data—so AI and analytics teams can deliver accurate, business-ready insights and solutions.
Build and maintain scalable data pipelines and cloud infrastructure using Python, Spark, and GCP/Azure to support analytics and reporting for enterprise clients.
Build and operate a near-real-time data platform using Kafka, Kubernetes, and Snowflake, designing pipelines, governance tools, and CI/CD for ETL/ELT.
Design and build cloud-native data pipelines and warehouses in Snowflake, DBT, Airflow, and Terraform to power analytics and AI for clients across finance, healthcare, gaming, and retail.
Designs and builds data pipelines, warehouses, and lakes using Java, Python, Spark, and SQL to move and transform data for analytics and applications.
Lead a data engineering team to build and maintain Python-based ELT pipelines into BigQuery, design SQLMesh models, and set engineering standards for a modern data stack.
Build and optimize ETL pipelines with Airflow and Python, maintain data warehouses, and manage large datasets on MinIO.
Build and maintain data warehouses and pipelines to support analytics, using Python, SQL, dbt, Airflow, and GCP for a logistics platform.
Build and maintain a modern data platform (Snowflake, dbt, Dagster) that ingests, transforms, and serves data to product and analytics teams across the company.
Build and maintain the data platform that powers e-commerce insights: Snowflake, AWS lakehouse with Iceberg tables, Airflow pipelines, and Terraform IaC.
Builds and maintains ETL pipelines and data warehouses on GCP to power AI-driven marketing, using Python, dbt, Airbyte, and Airflow.
Build and maintain end-to-end data pipelines, models, and governance to power analytics and decision-making using SQL, Python, dbt, Airbyte, and Airflow.
Build and optimize data pipelines for an AI-driven orthodontic clinic network, transforming raw data into insights with dbt, SQL, and Python while collaborating with product and ML teams.
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