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Lead Data Engineer - Partnership Intelligence
Lead a team building scalable data pipelines for a sports & entertainment marketing platform, using AWS, Snowflake, Airflow, Python, and .NET to process social and broadcast data for analytics and client insights.
Senior Software Engineer, Maps Data Pipeline
Build and own petabyte-scale ETL pipelines for multi-sensor data to generate high-definition maps used by Waabi’s autonomy software and AI-driven simulator.
Senior Manager of Data Engineering and Analytics
Lead a data engineering and analytics team to build scalable pipelines, warehouses, and KPI frameworks that turn raw data into trusted business insights for a fintech startup.
Sr. Manager, Data Engineering & Analytics
Lead a data engineering and analytics team to build scalable data infrastructure and AI-powered analytics for a robotics-based delivery startup, ensuring reliable, governed data products for cross-functional decision-making.
Senior Backend Developer (Scala & Spark)
Build and maintain ETL pipelines in Scala/Spark to move and validate accounting data into a central data lake, using Databricks, Azure, and Agile practices.
Staff Data Engineer
Lead the design and build of large-scale data pipelines and platforms using PySpark, GCP, and Airflow to power analytics, AI features, and real-time measurement for a major retail and media company.
Cloud Data Engineer
Migrate and modernize legacy investment systems to Azure and Snowflake, building cloud-native data pipelines with Python and Airflow to support capital-markets operations.
Senior Data Engineer
Build and optimize large-scale data pipelines and real-time dashboards using Java, Scala, Python, and GCP tools to support analytics and reporting for a retail-focused product team.
Senior Data Engineer
Build and own Flinks’ data and ML platform: BigQuery, dbt, Airflow, Pub/Sub, Kubeflow, Vertex AI, and FastAPI to turn models into production-grade services.
Senior Data Engineer
Design and build scalable data pipelines and architectures for a fintech company, ensuring reliable data flow for analytics and financial products using Python, Spark, and cloud platforms.
Senior Data Engineer, Data AI Analytics
Build and maintain scalable data pipelines and infrastructure to power analytics and machine learning at a global food manufacturer undergoing digital transformation.
ETL Data Engineer - HYBRID
Design and maintain cloud data warehouses and ETL pipelines for banking systems, transforming financial data into trusted datasets for reporting and analytics using Python, Spark, and cloud platforms like Snowflake or Databricks.
Senior Data Engineer
Build and scale a data platform from the ground up, designing pipelines, models, and orchestration to enable reliable analytics and decision-making across the company.
Senior Data Engineer
Senior Data Engineer builds and optimizes large-scale data pipelines for Samsung’s cloud services and devices, processing TBs of data daily using AWS, Spark, Kafka, and Python.
Lead Data Engineer: Scalable Pipelines & Cloud
Lead a team building scalable data pipelines on AWS, Airflow, Snowflake and MS SQL/NoSQL to power analytics and fan-engagement features for a sports & entertainment marketing platform.
Data Engineer
Build and maintain data pipelines and warehouses using AWS, Spark, Kafka, and Databricks to power Clio’s legal AI platform.
Manager, Data Engineering
Lead a team of data engineers to design and build scalable cloud data pipelines and warehouses using AWS/GCP/Azure, while mentoring staff and delivering client-facing BI solutions.
Data Engineer & Data Architect (Onsite)
Designs and maintains data infrastructure, ETL pipelines, and cloud-based warehouses to support analytics and reporting for a construction/infrastructure-focused company.
Senior Software Engineer, Data Engineering
Build and scale NationGraph’s data acquisition platform, extracting structured data from messy government documents using TypeScript, PostgreSQL, and LLM-driven pipelines to power public-sector intelligence.
Data Engineering Lead
Leads a team building scalable data platforms on Azure/AWS, using Spark, Hadoop, and Airflow to power enterprise analytics and AI solutions.