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Consultant Data Engineer IRC302341
Build and migrate data pipelines from Teradata to AWS Lakehouse using Databricks, dbt, Airflow, and Iceberg for a regulated financial services client.
Solution Designer / Lead Data Engineer
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines across GCP, AWS, and Azure while embedding governance, quality, and security controls.
Data Engineer
Design and maintain scalable data architectures, ETL pipelines, and data lakes on AWS for a national library and archives system, using SQL, Python, and Airflow.
Forward Deployed Engineer
Build and deploy production-grade AI agent systems for portfolio companies, integrating workflows, UIs, and backend services while serving as a hands-on technical advisor.
Data Engineer
Build GeoAI models and data pipelines to turn agronomic sensor data into predictive tools for fruit growers, using Python, FastAPI, MongoDB, PostgreSQL, and Kubernetes.
AWS Data Engineer
Design and build scalable AWS-based data pipelines using Python, Spark, and cloud-native services to power analytics and reporting.
AWS Data Engineer
Build and optimize scalable data pipelines using Python, Spark, and AWS services like Glue, EMR, and S3 to power a modern data platform for financial indices.
Data Engineer (1 year renewable contract)
Migrate and set up Tableau workbooks to Tableau Cloud, build AWS-based data pipelines with Glue, Lambda, Redshift, and Iceberg, and train clients on the process.
Senior Data Engineer - Audience
Build and maintain real-time and batch data pipelines for clickstream analytics using Flink, Kafka, and cloud tools to power user engagement insights for a media company.
Principal Data Architect
Define and lead the enterprise data architecture strategy for cloud-native platforms, designing scalable, secure, and resilient data solutions to support digital transformation and data-driven decisions in a fintech environment.
Software Engineering Intern, Data Platform
Build and optimize scalable data pipelines and storage for a telematics platform handling petabytes of vehicle data, using Java, Kafka, Flink, and Spark.
Information Management Data Architect
Design and lead a governed, self-service Databricks-based data science and AI platform, enabling teams to build, train, and deploy models and agents while ensuring governance, cost control, and interoperability with Snowflake.
Data Engineer
Design and maintain scalable data architectures, pipelines, and lakes for a national library and archives system using AWS, SQL, Python, and Airflow.
Software Engineer Streaming/Messaging
Build and operate eBay’s high-scale streaming and messaging infrastructure, designing a lakehouse storage system and ensuring reliability for global ecommerce platforms.
Senior Data Engineer - ODS
Design and build scalable Spark-based data pipelines in AWS to power analytics and ML for a large bank’s digital platform, using PySpark/Scala and cloud-native services.
Software Engineer - Data, Lakehouse and AI Data Platform Engineer - Vice President - London
Build and maintain large-scale data pipelines and curated datasets on a modern Lakehouse and AI data platform, using Python, SQL, Spark and Snowflake to support analytics and AI use cases.
Staff Data Platform Engineer
Lead the architecture and hands-on development of a next-gen streaming and analytics platform for a fast-growing fintech company, using Kafka, Spark, Flink, and Snowflake to process billions of financial events.
Senior Data Platform Engineer (Data Lake and Catalog)
Build and evolve a global travel company’s data lakehouse and catalog, using JVM/Kotlin, Spark, Hive, and AWS to store, govern, and expose data for analytics and products.